{"type": "FeatureCollection", "features": [{"id": "10.3390/f5040620", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:04Z", "type": "Journal Article", "created": "2014-04-04", "title": "Carbon Stocks And Climate Change: Management Implications In Northern Arizona Ponderosa Pine Forests", "description": "<p>Researchers have observed climate-driven shifts of forest types to higher elevations in the Southwestern US and predict further migration coupled with large-scale mortality events proportional to increases in radiative forcing. Range contractions of forests are likely to impact the total carbon stored within a stand. This study examines the dynamics of Pinus ponderosa stands under three climate change scenarios in Northern Arizona using the Climate Forest Vegetation Simulator (Climate-FVS) model to  project changes in carbon pools. A sample of 90 stands were grouped according to three elevational ranges; low- (1951 to 2194 m), mid- (2194 to 2499 m), and high- (2499 to  2682 m.) elevation stands. Growth, mortality, and carbon stores were simulated in the  Climate-FVS over a 100 year timespan. We further simulated three management scenarios for each elevational gradient and climate scenario. Management included (1) a  no-management scenario, (2) an intensive-management scenario characterized by thinning from below to a residual basal area (BA) of 18 m2/ha in conjunction with a prescribed burn every 10 years, and (3) a moderate-management scenario characterized by a  thin-from-below treatment to a residual BA of 28 m2/ha coupled with a prescribed burn every 20 years. Results indicate that any increase in aridity due to climate change will produce substantial mortality throughout the elevational range of ponderosa pine stands, with lower elevation stands projected to experience the most devastating effects. Management was only effective for the intensive-management scenario; stands receiving this treatment schedule maintained moderately consistent levels of basal area and demonstrated a higher level of resilience to climate change relative to the two other management scenarios. The results of this study indicate that management can improve  resiliency to climate change, however, resource managers may need to employ more intensive thinning treatments than currently proposed to achieve the best results.</p>", "keywords": ["0106 biological sciences", "0301 basic medicine", "2. Zero hunger", "03 medical and health sciences", "QC Physics", "13. Climate action", "SD Forestry", "climate forest vegetation simulator; climate change and elevation; forest carbon stores; forest management and climate change; climate-driven forest mortality; representative concentration pathways", "15. Life on land", "01 natural sciences"], "contacts": [{"organization": "Bagdon, Benjamin, Huang, Ching-Hsun,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1999-4907/5/4/620/pdf"}, {"href": "https://openknowledge.nau.edu/id/eprint/684/1/Bagdon_B_Ching-Hsun_H_2014_Carbon_stocks_climate_change.pdf"}, {"href": "https://doi.org/10.3390/f5040620"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/f5040620", "name": "item", "description": "10.3390/f5040620", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/f5040620"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-04-04T00:00:00Z"}}, {"id": "10.3390/rs12193228", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:10Z", "type": "Journal Article", "created": "2020-10-05", "title": "Qualifications of Rice Growth Indicators Optimized at Different Growth Stages Using Unmanned Aerial Vehicle Digital Imagery", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The accurate estimation of the key growth indicators of rice is conducive to rice production, and the rapid monitoring of these indicators can be achieved through remote sensing using the commercial RGB cameras of unmanned aerial vehicles (UAVs). However, the method of using UAV RGB images lacks an optimized model to achieve accurate qualifications of rice growth indicators. In this study, we established a correlation between the multi-stage vegetation indices (VIs) extracted from UAV imagery and the leaf dry biomass, leaf area index, and leaf total nitrogen for each growth stage of rice. Then, we used the optimal VI (OVI) method and object-oriented segmentation (OS) method to remove the noncanopy area of the image to improve the estimation accuracy. We selected the OVI and the models with the best correlation for each growth stage to establish a simple estimation model database. The results showed that the OVI and OS methods to remove the noncanopy area can improve the correlation between the key growth indicators and VI of rice. At the tillering stage and early jointing stage, the correlations between leaf dry biomass (LDB) and the Green Leaf Index (GLI) and Red Green Ratio Index (RGRI) were 0.829 and 0.881, respectively; at the early jointing stage and late jointing stage, the coefficient of determination (R2) between the Leaf Area Index (LAI) and Modified Green Red Vegetation Index (MGRVI) was 0.803 and 0.875, respectively; at the early stage and the filling stage, the correlations between the leaf total nitrogen (LTN) and UAV vegetation index and the Excess Red Vegetation Index (ExR) were 0.861 and 0.931, respectively. By using the simple estimation model database established using the UAV-based VI and the measured indicators at different growth stages, the rice growth indicators can be estimated for each stage. The proposed estimation model database for monitoring rice at the different growth stages is helpful for improving the estimation accuracy of the key rice growth indicators and accurately managing rice production.</p></article>", "keywords": ["2. Zero hunger", "object-oriented segmentation method", "optimal index method", "rice", "Science", "Q", "rice; growth indicators; multi-stage vegetation index; unmanned aerial vehicle; optimal index method; object-oriented segmentation method; estimation accuracy", "0211 other engineering and technologies", "04 agricultural and veterinary sciences", "02 engineering and technology", "multi-stage vegetation index", "15. Life on land", "estimation accuracy", "growth indicators", "13. Climate action", "unmanned aerial vehicle", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Zhengchao Qiu, Haitao Xiang, Fei Ma, Changwen Du,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/19/3228/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/19/3228/pdf"}, {"href": "https://doi.org/10.3390/rs12193228"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12193228", "name": "item", "description": "10.3390/rs12193228", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12193228"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-03T00:00:00Z"}}, {"id": "10.21258/1906471", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:28Z", "type": "Dataset", "title": "Swiss national forest inventory - Result table No. 1396357", "keywords": ["altitudinal vegetation belts (NaiS; 6 classes)", "1.4 km grid", " subgrids 1-5", "forest area", "stand structure", "NFI2", "canton", "protection forests (2022): a.f.w.s.f. NFI1 to NFI5", "state 1993/95"], "contacts": [{"organization": "Abegg, M., Ahles, P., Allgaier Leuch, B., Cioldi, F., Didion, M., D\u00fcggelin, C., Fischer, C., Herold, A., Meile, R., Rohner, B., R\u00f6sler, E., Speich, S., Temperli, C., Traub, B.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.21258/1906471"}, {"rel": "self", "type": "application/geo+json", "title": "10.21258/1906471", "name": "item", "description": "10.21258/1906471", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21258/1906471"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.21258/1911901", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:28Z", "type": "Dataset", "title": "Swiss national forest inventory - Result table No. 1343423", "keywords": ["protection forest (2022)", "growing stock (stemwood)", "altitudinal vegetation belts (NaiS; 6 classes)", "1.4 km grid", " subgrids 1-5", "economic region", "accessible forest without shrub forest NFI4/NFI5", "change 2009/17\u20132018/26", "NFI4\u2014NFI5"], "contacts": [{"organization": "Abegg, M., Ahles, P., Allgaier Leuch, B., Cioldi, F., Didion, M., D\u00fcggelin, C., Fischer, C., Herold, A., Meile, R., Rohner, B., R\u00f6sler, E., Speich, S., Temperli, C., Traub, B.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.21258/1911901"}, {"rel": "self", "type": "application/geo+json", "title": "10.21258/1911901", "name": "item", "description": "10.21258/1911901", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21258/1911901"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.3390/rs8020156", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:12Z", "type": "Journal Article", "created": "2016-02-19", "title": "Impacts of Re-Vegetation on Surface Soil Moisture over the Chinese Loess Plateau Based on Remote Sensing Datasets", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>A large-scale re-vegetation supported by the Grain for Green Project (GGP) has greatly changed local eco-hydrological systems, with an impact on soil moisture conditions for the Chinese Loess Plateau. It is important to know how, exactly, re-vegetation influences soil moisture conditions, which not only crucially constrain growth and distribution of vegetation, and hence, further re-vegetation, but also determine the degree of soil desiccation and, thus, erosion risk in the region. In this study, three eco-environmental factors, which are Soil Water Index (SWI), the Normalized Difference Vegetation Index (NDVI), and precipitation, were used to investigate the response of soil moisture in the one-meter layer of top soil to the re-vegetation during the GGP. SWI was estimated based on the backscatter coefficient produced by the European Remote Sensing Satellite (ERS-1/2) and Meteorological Operational satellite program (MetOp), while NDVI was derived from SPOT imageries. Two separate periods, which are 1998\u20132000 and 2008\u20132010, were selected to examine the spatiotemporal pattern of the chosen eco-environmental factors. It has been shown that the amount of precipitation in 1998\u20132000 was close to that of 2008\u20132010 (the difference being 13.10 mm). From 1998\u20132000 to 2008\u20132010, the average annual NDVI increased for 80.99%, while the SWI decreased for 72.64% of the area on the Loess Plateau. The average NDVI over the Loess Plateau increased rapidly by 17.76% after the 10-year GGP project. However, the average SWI decreased by 4.37% for two-thirds of the area. More specifically, 57.65% of the area on the Loess Plateau experienced an increased NDVI and decreased SWI, 23.34% of the area had an increased NDVI and SWI. NDVI and SWI decreased simultaneously for 14.99% of the area, and the decreased NDVI and increased SWI occurred at the same time for 4.02% of the area. These results indicate that re-vegetation, human activities, and climate change have impacts on soil moisture. However, re-vegetation, which consumes a large quantity of soil water, may be the major factor for soil moisture change in most areas of the Loess Plateau. It is, therefore, suggested that Soil Moisture Content (SMC) should be kept in mind when carrying out re-vegetation in China\u2019s arid and semi-arid regions.</p></article>", "keywords": ["2. Zero hunger", "China", "Science", "Q", "Soil Water Index (SWI)", "precipitation", "15. Life on land", "01 natural sciences", "6. Clean water", "remote sensing", "the Loess Plateau", "13. Climate action", "11. Sustainability", "Normalized Difference Vegetation Index (NDVI)", "Grain for Green Project (GGP)", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Qiao Jiao, Rui Li, Fei Wang, Xingmin Mu, Pengfei Li, Chunchun An,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2072-4292/8/2/156/pdf"}, {"href": "https://doi.org/10.3390/rs8020156"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs8020156", "name": "item", "description": "10.3390/rs8020156", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs8020156"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-19T00:00:00Z"}}, {"id": "10.2134/jeq1999.00472425002800050013x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:32Z", "type": "Journal Article", "created": "2010-07-20", "title": "Filter Strip Performance And Processes For Different Vegetation, Widths, And Contaminants", "description": "Abstract<p>Filter strips are widely prescribed to reduce contaminants in surface runoff from agricultural fields. This study compared performance of different filter strip designs on several contaminants and evaluated the contributing processes. Different vegetation types and widths were investigated using simulated runoff event on large plots (3 m \uffc3\uff97 7.5 or 15 m) having fine\uffe2\uff80\uff90textured soil and a 6 to 7% slope. Filter strips 7.5 and 15 m wide downslope greatly reduced concentrations of sediment in runoff (76\uffe2\uff80\uff9393%) and contaminants strongly associated with sediment (total P, 55\uffe2\uff80\uff9379%; permethrin, 27\uffe2\uff80\uff9383% [(3\uffe2\uff80\uff90phenoxyphenyl) methyl (\uffc2\uffb1)\uffe2\uff80\uff90cis, trans\uffe2\uff80\uff903\uffe2\uff80\uff90(2,2\uffe2\uff80\uff90dichloroethenyl)\uffe2\uff80\uff902,2\uffe2\uff80\uff90dimethyicyclopropanecarboxylate]). They had less effect on concentrations of primarily dissolved contaminants [atrazine, \uffe2\uff88\uff925\uffe2\uff80\uff9343% (2\uffe2\uff80\uff90chloro\uffe2\uff80\uff904\uffe2\uff80\uff90ethylamino\uffe2\uff80\uff906\uffe2\uff80\uff90isopropylamino\uffe2\uff80\uff90s\uffe2\uff80\uff90triazine); alachlor, 10\uffe2\uff80\uff9361% [2\uffe2\uff80\uff90chloro\uffe2\uff80\uff902\uffe2\uff80\uffb26\uffe2\uff80\uffb2\uffe2\uff80\uff90diethyl\uffe2\uff80\uff90N\uffe2\uff80\uff90(methoxymethyl) acetanilide]; nitrate, 24\uffe2\uff80\uff9348%; dissolved P, 19\uffe2\uff80\uff9343%; bromide, 13\uffe2\uff80\uff9331%]. Dilution of runoff by rainfall accounted for most of the reduction of concentration of dissolved contaminants. Infiltration (36\uffe2\uff80\uff9382% of runoff volume) substantially reduced the mass of contaminants exiting the filter strips. Doubling filter strip width from 7.5 to 15 m doubled infiltration and dilution, but did not improve sediment settling. Young trees and shrubs planted in the lower one\uffe2\uff80\uff90half of otherwise grass strips had no impact on filter performance. Compared with cultivated sorghum [Sorghum bicolor (L.) Moench] grass clearly reduced concentrations of sediment and associated contaminants in runoff, but not volume of runoff and concentration of dissolved contaminants. Settling, infiltration, and dilution processes can explain performance differences among pollutant types and filter strip designs.</p>", "keywords": ["filter", "processes", "Natural Resources Management and Policy", "widths", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "vegetation", "13. Climate action", "Natural Resources and Conservation", "strip", "0401 agriculture", " forestry", " and fisheries", "contaminants", "Other Environmental Sciences", "performance", "Environmental Sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Schmitt, T. J., Dosskey, M. G., Hoagland, K. D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2134/jeq1999.00472425002800050013x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Quality", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2134/jeq1999.00472425002800050013x", "name": "item", "description": "10.2134/jeq1999.00472425002800050013x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2134/jeq1999.00472425002800050013x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1999-09-01T00:00:00Z"}}, {"id": "10.3390/rs13122261", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:11Z", "type": "Journal Article", "created": "2021-06-09", "title": "DeepIndices: Remote Sensing Indices Based on Approximation of Functions through Deep-Learning, Application to Uncalibrated Vegetation Images", "description": "<p>The form of a remote sensing index is generally empirically defined, whether by choosing specific reflectance bands, equation forms or its coefficients. These spectral indices are used as preprocessing stage before object detection/classification. But no study seems to search for the best form through function approximation in order to optimize the classification and/or segmentation. The objective of this study is to develop a method to find the optimal index, using a statistical approach by gradient descent on different forms of generic equations. From six wavebands images, five equations have been tested, namely: linear, linear ratio, polynomial, universal function approximator and dense morphological. Few techniques in signal processing and image analysis are also deployed within a deep-learning framework. Performances of standard indices and DeepIndices were evaluated using two metrics, the dice (similar to f1-score) and the mean intersection over union (mIoU) scores. The study focuses on a specific multispectral camera used in near-field acquisition of soil and vegetation surfaces. These DeepIndices are built and compared to 89 common vegetation indices using the same vegetation dataset and metrics. As an illustration the most used index for vegetation, NDVI (Normalized Difference Vegetation Indices) offers a mIoU score of 63.98% whereas our best models gives an analytic solution to reconstruct an index with a mIoU of 82.19%. This difference is significant enough to improve the segmentation and robustness of the index from various external factors, as well as the shape of detected elements.</p>", "keywords": ["multi-spectral", "[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing", "multispectral", "Science", "0211 other engineering and technologies", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "02 engineering and technology", "Spectral indice", "Deep-learning", "image; precision agriculture; spectral indices; multi-spectral; deep-learning; vegetation segmentation", "deep-learning", "[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "[SDV.BV]Life Sciences [q-bio]/Vegetal Biology", "[SDV.BV] Life Sciences [q-bio]/Vegetal Biology", "image", "precision agriculture", "Precision agriculture", "Vegetation segmentation", "Multi-spectral", "Q", "04 agricultural and veterinary sciences", "15. Life on land", "004", "Image", "vegetation segmentation", "spectral indices", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/12/2261/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/12/2261/pdf"}, {"href": "https://doi.org/10.3390/rs13122261"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13122261", "name": "item", "description": "10.3390/rs13122261", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13122261"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-09T00:00:00Z"}}, {"id": "10261/271651", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:41Z", "type": "Journal Article", "created": "2022-02-28", "title": "Expansion of olive orchards and their impact on the cultivation and landscape through a case study in the countryside of Cordoba (Spain)", "description": "Open Access\u062a\u0645 \u062a\u0639\u0632\u064a\u0632 \u0627\u0633\u062a\u062f\u0627\u0645\u0629 \u0627\u0644\u0646\u0638\u0645 \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0634\u0631\u064a\u0639\u0627\u062a \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u0648\u0644\u0643\u0646 \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0646\u0641\u0633\u0647 \u062a\u0639\u0632\u0632 \u0647\u0630\u0647 \u0627\u0644\u0633\u064a\u0627\u0633\u0627\u062a \u0623\u064a\u0636\u064b\u0627 \u0623\u0646\u0638\u0645\u0629 \u0623\u0643\u062b\u0631 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\u0643\u0645\u0646\u0627\u0637\u0642 \u0627\u0633\u062a\u0639\u0627\u062f\u0629 \u0645\u062d\u062a\u0645\u0644\u0629 \u0644\u062a\u0639\u0632\u064a\u0632 \u062a\u0648\u0641\u064a\u0631 \u062e\u062f\u0645\u0627\u062a \u0627\u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u0625\u064a\u0643\u0648\u0644\u0648\u062c\u064a.", "keywords": ["Period (music)", "Soil Degradation", "Vascular Flora of Mediterranean Europe and North Africa", "Soil Science", "Orchard", "Plant Science", "Mediterranean", "Horticulture", "Genetic and Environmental Factors in Grapevine Cultivation", "01 natural sciences", "Environmental science", "Agricultural and Biological Sciences", "Pathology", "Ecosystem services", "Landscape elements", "Agroforestry", "Irrigation", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "Geography", "Ecology", "Physics", "Common agricultural policy", "Olive groves", "Life Sciences", "Agriculture", "Forestry", "Acoustics", "04 agricultural and veterinary sciences", "15. Life on land", "Soil Erosion and Agricultural Sustainability", "Olive trees", "Agronomy", "Sustainability", "Archaeology", "FOS: Biological sciences", "Shifting cultivation", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Vegetation (pathology)"]}, "links": [{"href": "https://doi.org/10261/271651"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Use%20Policy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/271651", "name": "item", "description": "10261/271651", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/271651"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.2307/3237009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:48Z", "type": "Journal Article", "created": "2007-02-03", "title": "Effects Of Nutrients And Shade On Tree-Grass Interactions In An East African Savanna", "description": "<p>Abstract.  Savanna trees have a multitude of positive and negative effects on understorey grass production, but little is known about how these effects interact. We report on a fertilization and shading experiment carried out in a Tanzanian tropical dry savanna around Acacia tortilis trees. In two years of study there was no difference in grass production under tree canopies or in open grassland. Fertilization, however, indicate that trees do affect the nutrient limitation of the grass layer with an N\uffe2\uff80\uff90limited system in open grassland to a P\uffe2\uff80\uff90limited system under the trees. The N:P ratios of grass gave a reliable indication of the nature of nutrient limitation, but only when assessed at the end of the wet season. Mid\uffe2\uff80\uff90wet season nutrient concentrations of grasses were higher under than outside the tree canopy, suggesting that factors other than nutrients limit grass production. A shading experiment indicated that light may be such a limiting factor during the wet season when water and nutrients are sufficiently available. However, in the dry season when water is scarce, the effect of shade on plant production became positive. We conclude that whether trees increase or decrease production of the herbaceous layer depends on how positive effects (increased soil fertility) and negative effects (shade and soil water availability) interact and that these interactions may significantly change between wet and dry seasons.</p>", "keywords": ["2. Zero hunger", "0106 biological sciences", "productivity", "growth", "04 agricultural and veterinary sciences", "15. Life on land", "herbivores", "01 natural sciences", "nitrogen", "kenya", "vegetation", "limitation", "0401 agriculture", " forestry", " and fisheries", "light-intensity", "competition", "environments"]}, "links": [{"href": "https://doi.org/10.2307/3237009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Vegetation%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2307/3237009", "name": "item", "description": "10.2307/3237009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2307/3237009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-02-24T00:00:00Z"}}, {"id": "10.2307/3237027", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:48Z", "type": "Journal Article", "created": "2006-05-07", "title": "Nutrient Supply In Undrained And Drained Calthion Meadows", "description": "<p>Abstract.  Plant species\uffe2\uff80\uff90rich Calthion meadows on mesotrophic fen peat soil extensively cut for hay are among the endangered semi\uffe2\uff80\uff90natural vegetation types in northwestern Europe. They are often badly affected by lowering the groundwater table (drainage) and fertilization.</p><p>In a comparative study of an undrained site with a Calthion meadow and an adjacent drained site, availability of N, P and K was biologically assessed under field conditions (for two years) as well as in a greenhouse (for 18 weeks) by measuring shoot responsiveness. Also, experimental wetting of intact turf samples taken from both sites was applied in order to study the interaction between nutrient supply and anaerobic soil conditions. It was concluded that the above\uffe2\uff80\uff90ground phytomass yield in the undrained site was restricted by a major shortage of N\uffe2\uff80\uff90supply and a moderate shortage of K\uffe2\uff80\uff90supply by the fen peat soil. The above\uffe2\uff80\uff90ground phytomass yield of the drained site was only reduced by a strongly limited supply of K by the soil. The extent of K\uffe2\uff80\uff90deficiency was larger for the drained site. No P\uffe2\uff80\uff90deficiency was observed in any of the drained or undrained sites. Rewetting turf samples, taken from the drained site, did not change above\uffe2\uff80\uff90ground phytomass yields, suggesting that nutrient supplies were not affected by rewetting. Leaching has likely resulted in a strong reduction of K\uffe2\uff80\uff90supply in the drained site. It is assumed that a shortage in K\uffe2\uff80\uff90supply from the peat soil may have become an important environmental constraint for characteristic plant species of Calthion meadows. This may hamper the development of this meadow type on drained peat soils after rewetting by groundwater discharge.</p>", "keywords": ["DYNAMICS", "0106 biological sciences", "NRS", "restoration", "GRASSLAND", "LIMITATION", "GROUNDWATER", "fen peat", "15. Life on land", "01 natural sciences", "SOIL", "VEGETATION PATTERNS", "ADLIB-ART-1990", "fertilization", "ITC-ISI-JOURNAL-ARTICLE", "FERTILIZER APPLICATION", "plant species richness", "macronutrient deficiency", "COMMUNITIES", "drainage", "management", "SEDIMENTS", "FENS"], "contacts": [{"organization": "JA Inberg, D. M. Pegtel, I.C. van Duren, BA Aerts,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2307/3237027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Vegetation%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2307/3237027", "name": "item", "description": "10.2307/3237027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2307/3237027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1997-12-01T00:00:00Z"}}, {"id": "10.3354/meps11447", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:55Z", "type": "Journal Article", "created": "2015-08-06", "title": "Ecosystem Engineering By Large Grazers Enhances Carbon Stocks In A Tidal Salt Marsh", "description": "<p>Grazers can have a large impact on ecosystem processes and are known to change vegetation composition. However, knowledge of how the long-term presence of grazers affects soil carbon sequestration is limited. In this study, we estimated total accumulated organic carbon in soils of a back-barrier salt marsh and determined how this is affected by long-term grazing by both small and large grazers in relation to age of the ecosystem. In young marshes, where small grazers predominate, hare and geese have a limited effect on total accumulated organic carbon. In older, mature marshes, where large grazers predominate, cattle substantially enhanced carbon content in the marsh soil. We ascribe this to a shift in biomass distribution in the local vegetation towards the roots in combination with trampling effects on the soil chemistry. These large grazers thus act as ecosystem engineers: their known effect on soil compaction (based on a previous study) enhances anoxic conditions in the marsh soil, thereby reducing the oxygen available for organic carbon decomposition by the local microbial community. This study showed that the indirect effects of grazing can significantly enhance soil carbon storage through changing soil abiotic conditions. This process should be taken into account when estimating the role of ecosystems in reducing carbon dioxide concentration in the atmosphere. Ultimately, we propose a testable conceptual framework that includes 3 pathways by which grazers can alter carbon storage: (1) through above-ground biomass removal, (2) through alteration of biomass distribution towards the roots and/or (3) by changing soil abiotic conditions that affect decomposition.</p>", "keywords": ["Carbon sequestration", "0106 biological sciences", "IMPACT", "SEA-LEVEL RISE", "01 natural sciences", "Coastal wetland", "Climate change", "Biology", "Soil compaction", "Succession", "VEGETATION SUCCESSION", "0105 earth and related environmental sciences", "2. Zero hunger", "CLIMATE-CHANGE", "WETLAND SOILS", "WADDEN SEA", "15. Life on land", "PRODUCTIVITY GRADIENT", "6. Clean water", "Chemistry", "Grazing", "ORGANIC-MATTER", "NORTH-SEA", "REDOX OSCILLATION", "13. Climate action", "Redox potential"]}, "links": [{"href": "https://doi.org/10.3354/meps11447"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Marine%20Ecology%20Progress%20Series", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3354/meps11447", "name": "item", "description": "10.3354/meps11447", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3354/meps11447"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-14T00:00:00Z"}}, {"id": "10.5194/hess-2019-105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:44Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.                         </p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-2019-105"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-2019-105", "name": "item", "description": "10.5194/hess-2019-105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-2019-105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.3389/ffgc.2023.1136354", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:56Z", "type": "Journal Article", "created": "2023-03-31", "title": "Climate and forest properties explain wildfire impact on microbial community and nutrient mobilization in boreal soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The boreal landscape stores an estimated 40% of the earth's carbon (C) found in terrestrial vegetation and soils, with a large portion collected in thick organic soil layers. These ground stores are subject to substantial removals due to the centurial return of wildfire, which has strong impacts on the soil microbial community and nutrient cycling, which in turn can control ecosystem recovery patterns and process rates, such as C turnover. Currently, predictive knowledge used in assessing fire impacts is largely focused on ecosystems that experience only superficial burning and few robust observations exist regarding the effect that smoldering combustion in deeper active soil layers has on post-fire soil activity. This study provided a highly replicated and regionally extensive survey of wildfire impact on microbial community structure (using fatty acid biomarkers) and nutrient cycling (using in situ ionic resin capsules) across broad gradients of climate, forest properties and fire conditions within 50 separate burn scars and 50 additional matched unburnt boreal forest soils. The results suggest a strong metabolic shift in burnt soils due to heat impact on their structure and a decoupling from aboveground processes, releasing ecosystem N limitation and increasing mobilization of N, P, K, and S as excess in conjunction with an altered, C-starved microbial community structure and reduced root uptake due to vegetation mortality. An additional observed climatic control over burnt soil properties has implications for altered boreal forest function in future climate and fire regimes deserving of further attention.</p></article>", "keywords": ["Sweden", "Ekologi", "Ecology", "Skogsvetenskap", "Forest Science", "nutrient cycling", "Forestry", "boreal forest wildfire", "smoldering combustion", "SD1-669.5", "15. Life on land", "nitrogen", "Climate Science", "Environmental sciences", "climate change", "vegetation", "13. Climate action", "GE1-350", "microbial community", "Klimatvetenskap"]}, "links": [{"href": "https://doi.org/10.3389/ffgc.2023.1136354"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Forests%20and%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/ffgc.2023.1136354", "name": "item", "description": "10.3389/ffgc.2023.1136354", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/ffgc.2023.1136354"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-31T00:00:00Z"}}, {"id": "10.5194/hess-24-3789-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:44Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.                     </p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.5194/hess-24-3789-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-24-3789-2020", "name": "item", "description": "10.5194/hess-24-3789-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-3789-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10.3389/fpls.2019.00191", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:58Z", "type": "Journal Article", "created": "2019-02-22", "title": "Interannual and Seasonal Dynamics of Volatile Organic Compound Fluxes From the Boreal Forest Floor", "description": "In the northern hemisphere, boreal forests are a major source of biogenic volatile organic compounds (BVOCs), which drive atmospheric processes and lead to cloud formation and changes in the Earth's radiation budget. Although forest vegetation is known to be a significant source of BVOCs, the role of soil and the forest floor, and especially interannual variations in fluxes, remains largely unknown due to a lack of long-term measurements. Our aim was to determine the interannual, seasonal and diurnal dynamics of boreal forest floor volatile organic compound (VOC) fluxes and to estimate how much they contribute to ecosystem VOC fluxes. We present here an 8-year data set of forest floor VOC fluxes, measured with three automated chambers connected to the quadrupole proton transfer reaction mass spectrometer (quadrupole PTR-MS). The exceptionally long data set shows that forest floor fluxes were dominated by monoterpenes and methanol, with relatively comparable emission rates between the years. Weekly mean monoterpene fluxes from the forest floor were highest in spring and in autumn (maximum 59 and 86 \u03bcg m-2 h-1, respectively), whereas the oxygenated VOC fluxes such as methanol had highest weekly mean fluxes in spring and summer (maximum 24 and 79 \u03bcg m-2 h-1, respectively). Although the chamber locations differed from each other in emission rates, the inter-annual dynamics were very similar and systematic. Accounting for this chamber location dependent variability, temperature and relative humidity, a mixed effects linear model was able to explain 79-88% of monoterpene, methanol, acetone, and acetaldehyde fluxes from the boreal forest floor. The boreal forest floor was a significant contributor in the forest stand fluxes, but its importance varies between seasons, being most important in autumn. The forest floor emitted 2-93% of monoterpene fluxes in spring and autumn and 1-72% of methanol fluxes in spring and early summer. The forest floor covered only a few percent of the forest stand fluxes in summer.", "keywords": ["VOC EMISSIONS", "Plant Science", "ATMOSPHERIC OH", "01 natural sciences", "forest floor", "SB1-1110", "MONOTERPENE EMISSIONS", "vegetation", "biogenic volatile organic compound", "11. Sustainability", "SCOTS PINE", "EXCHANGE", "0105 earth and related environmental sciences", "decomposition", "CLIMATE-CHANGE", "seasonality", "temperature", "Plant culture", "Forestry", "15. Life on land", "SOIL", "MODEL", "Environmental sciences", "flux", "13. Climate action", "PTR-TOF", "METHANOL"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2019.00191"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2019.00191", "name": "item", "description": "10.3389/fpls.2019.00191", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2019.00191"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-22T00:00:00Z"}}, {"id": "10.3389/frwa.2022.981745", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:18:59Z", "type": "Journal Article", "created": "2022-09-16", "title": "Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication", "description": "<p>The beginning of the 21st century is marked by a rapid growth of land surface satellite data and model sophistication. This offers new opportunities to estimate multiple components of the water cycle via satellite-based land data assimilation (DA) across multiple scales. By resolving more processes in land surface models and by coupling the land, the atmosphere, and other Earth system compartments, the observed information can be propagated to constrain additional unobserved variables. Furthermore, access to more satellite observations enables the direct constraint of more and more components of the water cycle that are of interest to end users. However, the finer level of detail in models and data is also often accompanied by an increase in dimensions, with more state variables, parameters, or boundary conditions to estimate, and more observations to assimilate. This requires advanced DA methods and efficient solutions. One solution is to target specific observations for assimilation based on a sensitivity study or coupling strength analysis, because not all observations are equally effective in improving subsequent forecasts of hydrological variables, weather, agricultural production, or hazards through DA. This paper offers a perspective on current and future land DA development, and suggestions to optimally exploit advances in observing and modeling systems.</p", "keywords": ["[SDE] Environmental Sciences", "Land surface modeling", "VEGETATION OPTICAL DEPTH", "IMPACT", "info:eu-repo/classification/ddc/333.7", "snow", "Environmental technology. Sanitary engineering", "01 natural sciences", "land surface modeling", "RETRIEVALS", "targeted observations", "vegetation", "Snow", "Targeted observations", "SNOW DEPTH", "SOIL-MOISTURE ASSIMILATION", "data assimilation", "TD1-1066", "0105 earth and related environmental sciences", "GRACE DATA ASSIMILATION", "EQUIVALENT", "microwave remote sensing", "Vegetation", "LDAS-MONDE", "BRIGHTNESS TEMPERATURE OBSERVATIONS", "15. Life on land", "Microwave remote sensing", "13. Climate action", "Earth and Environmental Sciences", "SIMULATION", "Data assimilation", "data assimilation", " soil moisture", " snow", " vegetation", " microwave remote sensing", " land surface modeling", " targeted observation", "Soil moisture", "soil moisture"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/894502/2/frwa-04-981745%20%282%29.pdf"}, {"href": "https://doi.org/10.3389/frwa.2022.981745"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/frwa.2022.981745", "name": "item", "description": "10.3389/frwa.2022.981745", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/frwa.2022.981745"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-16T00:00:00Z"}}, {"id": "10.3390/agronomy10101524", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:00Z", "type": "Journal Article", "created": "2020-10-07", "title": "A simple light-use-efficiency model to estimate wheat yield in the semi-arid areas.", "description": "<p>In this study, a simple model, based on a light-use-efficiency model, was developed in order to estimate growth and yield of the irrigated winter wheat under semi-arid conditions. The originality of the proposed method consists in (1) the modifying of the expression of the conversion coefficient (\uffce\uffb5conv) by integrating an appropriate stress threshold (ksconv) for triggering irrigation, (2) the substitution of the product of the two maximum coefficients of interception (\uffce\uffb5imax) and conversion (\uffce\uffb5conv_max) by a single parameter \uffce\uffb5max, (3) the modeling of \uffce\uffb5max as a function of the Cumulative Growing Degree Days (CGDD) since sowing date, and (4) the dynamic expression of the harvest index (HI) as a function of the CGDD and the final harvest index (HI0) depending on the maximum value of the Normalized Difference Vegetation Index (NDVI). The calibration and validation of the proposed model were performed based on the observations of wheat dry matter (DM) and grain yield (GY) which were collected on the R3 irrigated district of the Haouz plain (center of Morocco), during three agricultural seasons. Further, the outputs of the simple model were also evaluated against the AquaCrop model estimates. The model calibration allowed the parameterization of \uffce\uffb5max in four periods according to the wheat phenological stages. By contrast, a linear evolution was sufficient to represent the relationship between HI and CGDD. For the model validation, the obtained results showed a good agreement between the estimated and observed values with a Root Mean Square Error (RMSE) of about 1.07 and 0.57 t/ha for DM and GY, respectively. These correspond to a relative RMSE of about 19% for DM and 20% for GY. Likewise, although of its simplicity, the accuracy of the proposed model seems to be comparable to that of the AquaCrop model. For GY, R2, and RMSE values were respectively 0.71 and 0.44 t/ha for the developed approach and 0.88 and 0.37 t/ha for AquaCrop. Thus, the proposed simple light-use-efficiency model can be considered as a useful tool to correctly reproduce DM and GY values.</p>", "keywords": ["days", "[SDE] Environmental Sciences", "0106 biological sciences", "2. Zero hunger", "cumulative growing degree", "simple model", "S", "grain yield", "normalized difference vegetation index", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "630", "wheat", "[SDE]Environmental Sciences", "dry matter", "0401 agriculture", " forestry", " and fisheries", "cumulative growing degree days"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/10/10/1524/pdf"}, {"href": "https://www.mdpi.com/2073-4395/10/10/1524/pdf"}, {"href": "https://doi.org/10.3390/agronomy10101524"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy10101524", "name": "item", "description": "10.3390/agronomy10101524", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy10101524"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-07T00:00:00Z"}}, {"id": "10.3390/agronomy11122439", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:01Z", "type": "Journal Article", "created": "2021-11-30", "title": "Grain Yield Estimation in Rice Breeding Using Phenological Data and Vegetation Indices Derived from UAV Images", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The accurate estimation of grain yield in rice breeding is crucial for breeders to screen and select qualified cultivars. In this study, a low-cost unmanned aerial vehicle (UAV) platform mounted with an RGB camera was carried out to capture high-spatial resolution images of rice canopy in rice breeding. The random forest (RF) regression techniques were used to establish yield models by using (1) only color vegetation indices (VIs), (2) only phenological data, and (3) fusion of VIs and phenological data as inputs, respectively. Then, the performances of RF models were compared with the manual observation and CERES-Rice model. The results indicated that the RF model using VIs only performed poorly for estimating yield; the optimized RF model that combined the use of phenological data and color VIs performed much better, which demonstrated that the phenological data significantly improved the model performance. Furthermore, the yield estimation accuracy of 21 rice cultivars that were continuously planted over three years in the optimal RF model had no significant difference (p &gt; 0.05) with that of the CERES-Rice model. These findings demonstrate that the RF model, by combining phenological data and color Vis, is a potential and cost-effective way to estimate yield in rice breeding.</p></article>", "keywords": ["2. Zero hunger", "0106 biological sciences", "S", "UAV", "CERES-Rice", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "yield", "01 natural sciences", "rice breeding", "UAV; rice breeding; yield; CERES-Rice; RF; vegetation indices", "vegetation indices", "RF", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Haixiao Ge, Fei Ma, Zhenwang Li, Changwen Du,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2439/pdf"}, {"href": "https://doi.org/10.3390/agronomy11122439"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11122439", "name": "item", "description": "10.3390/agronomy11122439", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11122439"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-29T00:00:00Z"}}, {"id": "10.3390/land14061217", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:07Z", "type": "Journal Article", "created": "2025-06-05", "title": "Variation in Soil Organic Carbon and Total Nitrogen Stocks Across Elevation Gradients and Soil Depths in the Mount Kenya East Forest", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Understanding how elevation gradients and soil depths influence soil organic carbon stocks (SOCS) and total nitrogen stocks (TNS) is essential for sustainable forest management (SFM) and climate change mitigation. This study investigated the effects of elevation and soil depth on SOCS and TNS in the Mount Kenya East Forest (MKEF). A stratified systematic sampling approach was applied, involving collection of 38 soil samples from two depths (0\u201320 cm and 20\u201340 cm) across three elevation zones: Lower Forest (1700\u20132000 m), Middle Forest (2000\u20132350 m), and Upper Forest (2350\u20132650 m). Samples were analysed for bulk density (BD), pH, texture, soil organic carbon (SOC), and total nitrogen (TN), using standard laboratory methods. In topsoil (0\u201320 cm), SOCS ranged from 109.28 \u00b1 23.41 to 151.27 \u00b1 17.61 Mg C ha\u22121, while TNS varied from 8.89 \u00b1 1.77 to 12.00 \u00b1 2.46 Mg N ha\u22121. In subsoil (20\u201340 cm), SOCS ranged from 72.03 \u00b1 19.90 to 132.23 \u00b1 11.80 Mg C ha\u22121, with TNS varying between 5.71 \u00b1 1.63 and 10.50 \u00b1 1.90 Mg N ha\u22121. SOCS and TNS increased significantly with elevation (p &lt; 0.05), exhibiting the following trend: Lower Forest &lt; Middle Forest &lt; Upper Forest. Topsoil consistently stored significantly higher SOCS than subsoil (p &lt; 0.05), emphasizing the critical role of surface soils in carbon sequestration. Regression analysis revealed a significant positive relationship between SOCS and TNS (R2 = 0.84, p &lt; 0.001). Both SOCS and TNS were positively correlated with elevation, SOC, TN, and total annual precipitation (TAP), but negatively correlated with BD and mean annual temperature (MAT). These findings provide baseline data for monitoring SOCS and TNS in the MKEF, offering insights into sustainable forest management strategies to improve soil health and enhance climate change mitigation efforts.</p></article>", "keywords": ["topsoil", "S", "soil organic matter", "vegetation type", "subsoil", "Agriculture", "carbon sequestration", "environmental variables"]}, "links": [{"href": "https://www.mdpi.com/2073-445X/14/6/1217/pdf"}, {"href": "https://doi.org/10.3390/land14061217"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land14061217", "name": "item", "description": "10.3390/land14061217", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land14061217"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-05T00:00:00Z"}}, {"id": "10.3390/ijerph13020165", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:05Z", "type": "Journal Article", "created": "2016-01-28", "title": "Environmental Change in the Agro-Pastoral Transitional Zone, Northern China: Patterns, Drivers, and Implications", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Chengde city is located in the agro\u2013pastoral transitional zone in northern China near the capital city of Beijing, which has experienced large-scale ecological construction in the past three decades. This study quantitatively assessed the environmental changes in Chengde through observation records of water resources, water environment, atmospheric environment, and vegetation activity and investigated the possible causes. From the late 1950s to 2002, the streamflow presented a downward trend induced by climate variability and human activities, with contribution ratios of 33.2% and 66.8%, respectively. During 2001\u20132012, the days of levels I and II air quality presented clear upward trends. Moreover, the air pollutant concentration was relatively low compared with that in the adjacent areas, which means the air quality has improved more than that in the neighboring areas. The water quality, which deteriorated during 1993\u20132000, began to improve in 2002. The air and water quality changes were closely related to pollutant emissions induced by anthropogenic activities. During 1982\u20132012, the vegetation in the southeastern and central regions presented restoration trends, whereas that in the northwestern area showed degradation trends. The pixels with obvious degradation trends correlated significantly with annual mean temperature and annual precipitation. Ecological engineering also played a positive role in vegetation restoration. This analysis can be beneficial to environment managers in the active response and adaptation to the possible effects of future climate change, population growth, and industrial development and can be used to ensure sustainable development and environmental safety.</p></article>", "keywords": ["China", "Conservation of Natural Resources", "Climate", "Climate Change", "0207 environmental engineering", "Agriculture", "Environmental Exposure", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Article", "6. Clean water", "12. Responsible consumption", "Soil", "agro\u2013pastoral transitional zone; water resource; water environment; atmospheric environment; vegetation activity", "13. Climate action", "Air Pollution", "11. Sustainability", "Water Resources", "Humans", "Policy Making", "Public Health Administration", "Ecosystem", "Environmental Monitoring", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Fei Wang, Fei Wang, Chong Jiang, Chong Jiang, Chong Jiang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/13/2/165/pdf"}, {"href": "https://doi.org/10.3390/ijerph13020165"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijerph13020165", "name": "item", "description": "10.3390/ijerph13020165", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijerph13020165"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-28T00:00:00Z"}}, {"id": "10.3390/plants13091212", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:09Z", "type": "Journal Article", "created": "2024-04-29", "title": "Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The estimation of crop evapotranspiration (ETc) is crucial for irrigation water management, especially in arid regions. This can be particularly relevant in the Po Valley (Italy), where arable lands suffer from drought damages on an annual basis, causing drastic crop yield losses. This study presents a novel approach for vegetation-based estimation of crop evapotranspiration (ETc) for maize. Three years of high-resolution multispectral satellite (Sentinel-2)-based Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Red Edge Index (NDRE), and Leaf Area Index (LAI) time series data were used to derive crop coefficients of maize in nine plots at the Acqua Campus experimental farm of Irrigation Consortium for the Emilia Romagna Canal (CER), Italy. Since certain vegetation indices (VIs) (such as NDVI) have an exponential nature compared to the other indices, both linear and power regression models were evaluated to estimate the crop coefficient (Kc). In the context of linear regression, the correlations between Food and Agriculture Organization (FAO)-based Kc and NDWI, NDRE, NDVI, and LAI-based Kc were 0.833, 0.870, 0.886, and 0.771, respectively. Strong correlation values in the case of power regression (NDWI: 0.876, NDRE: 0.872, NDVI: 0.888, LAI: 0.746) indicated an alternative approach to provide crop coefficients for the vegetation period. The VI-based ETc values were calculated using reference evapotranspiration (ET0) and VI-based Kc. The weather station data of CER were used to calculate ET0 based on Penman-Monteith estimation. Out of the Vis, NDWI and NDVI-based ETc performed the best both in the cases of linear (NDWI RMSE: 0.43 \u00b1 0.12; NDVI RMSE: 0.43 \u00b1 0.095) and power (NDWI RMSE: 0.44 \u00b1 0.116; NDVI RMSE: 0.44 \u00b1 0.103) approaches. The findings affirm the efficacy of the developed methodology in accurately assessing the evapotranspiration rate. Consequently, it offers a more refined temporal estimation of water requirements for maize cultivation in the region.</p></article>", "keywords": ["2. Zero hunger", "Botany", "04 agricultural and veterinary sciences", "vegetation index-based K<sub>c</sub>", "15. Life on land", "01 natural sciences", "Article", "6. Clean water", "maize water demand", "QK1-989", "vegetation index-based crop evapotranspiration", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2223-7747/13/9/1212/pdf"}, {"href": "https://doi.org/10.3390/plants13091212"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/plants13091212", "name": "item", "description": "10.3390/plants13091212", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/plants13091212"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-27T00:00:00Z"}}, {"id": "10.3390/plants9121804", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:09Z", "type": "Journal Article", "created": "2020-12-21", "title": "Genotype \u00d7 Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L\u22121, 10 mg L\u22121, 100 mg L\u22121 and 1000 mg L\u22121) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60\u201370% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the G\u00d7E interaction, in which the first main component was significant for all components.</p></article>", "keywords": ["0106 biological sciences", "2. Zero hunger", "wheat;\u00a0zinc oxide nanoparticles;\u00a0GEI;\u00a0AMMI", "AMMI", "GEI", "Botany", "zinc oxide nanoparticles", "Ammi", "Vegetation", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Article", "Seed priming", "Horticulture", "13. Climate action", "wheat", "QK1-989", "Grain yield", "0401 agriculture", " forestry", " and fisheries", "Multiplicative interaction", "Gene\u2013environment interaction", "Aeration", "Water content"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/9/12/1804/pdf"}, {"href": "https://www.mdpi.com/2223-7747/9/12/1804/pdf"}, {"href": "https://doi.org/10.3390/plants9121804"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/plants9121804", "name": "item", "description": "10.3390/plants9121804", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/plants9121804"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-19T00:00:00Z"}}, {"id": "10.3390/rs12121917", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:10Z", "type": "Journal Article", "created": "2020-06-15", "title": "Prediction of Yield Productivity Zones from Landsat 8 and Sentinel-2A/B and Their Evaluation Using Farm Machinery Measurements", "description": "<p>Yield is one of the primary concerns for any farmer since it is a key to economic prosperity. Yield productivity zones\uffe2\uff80\uff94that is to say, areas with the same yield level within fields over the long-term\uffe2\uff80\uff94are a form of derived (predicted) data from periodic remote sensing, in this study according to the Enhanced Vegetation Index (EVI). The delineation of yield productivity zones can (a) increase economic prosperity and (b) reduce the environmental burden by employing site-specific crop management practices which implement advanced geospatial technologies that respect soil heterogeneity. This paper presents yield productivity zone identification and computing based on Sentinel-2A/B and Landsat 8 multispectral satellite data and also quantifies the success rate of yield prediction in comparison to the measured yield data. Yield data on spring barley, winter wheat, corn, and oilseed rape were measured with a spatial resolution of up to several meters directly by a CASE IH harvester in the field. The yield data were available from three plots in three years on the Rost\uffc4\uff9bnice Farm in the Czech Republic, with an overall acreage of 176 hectares. The presented yield productivity zones concept was found to be credible for the prediction of yield, including its geospatial variations.</p>", "keywords": ["2. Zero hunger", "yield productivity zones", "precision agriculture", "Science", "Q", "Enhanced Vegetation Index", "04 agricultural and veterinary sciences", "yield productivity zones; yield measurements; satellite images; precision agriculture; Enhanced Vegetation Index", "15. Life on land", "01 natural sciences", "yield measurements", "0401 agriculture", " forestry", " and fisheries", "satellite images", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/12/1917/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/12/1917/pdf"}, {"href": "https://doi.org/10.3390/rs12121917"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12121917", "name": "item", "description": "10.3390/rs12121917", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12121917"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-13T00:00:00Z"}}, {"id": "10.3390/rs12040638", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:10Z", "type": "Journal Article", "created": "2020-02-20", "title": "Historical Aerial Surveys Map Long-Term Changes of Forest Cover and Structure in the Central Congo Basin", "description": "<p>Given the impact of tropical forest disturbances on atmospheric carbon emissions, biodiversity, and ecosystem productivity, accurate long-term reporting of Land-Use and Land-Cover (LULC) change in the pre-satellite era (&lt;1972) is an imperative. Here, we used a combination of historical (1958) aerial photography and contemporary remote sensing data to map long-term changes in the extent and structure of the tropical forest surrounding Yangambi (DR Congo) in the central Congo Basin. Our study leveraged structure-from-motion and a convolutional neural network-based LULC classifier, using synthetic landscape-based image augmentation to map historical forest cover across a large orthomosaic (~93,431 ha) geo-referenced to ~4.7 \uffc2\uffb1 4.3 m at submeter resolution. A comparison with contemporary LULC data showed a shift from previously highly regular industrial deforestation of large areas to discrete smallholder farming clearing, increasing landscape fragmentation and providing opportunties for substantial forest regrowth. We estimated aboveground carbon gains through reforestation to range from 811 to 1592 Gg C, partially offsetting historical deforestation (2416 Gg C), in our study area. Efforts to quantify long-term canopy texture changes and their link to aboveground carbon had limited to no success. Our analysis provides methods and insights into key spatial and temporal patterns of deforestation and reforestation at a multi-decadal scale, providing a historical context for past and ongoing forest research in the area.</p>", "keywords": ["Agriculture and Food Sciences", "0301 basic medicine", "aerial survey", "550", "Science", "CONSERVATION", "ANTHROPOGENIC DISTURBANCE", "03 medical and health sciences", "TROPICAL DEFORESTATION", "RATES", "congo basin", "[SDE.ES]Environmental Sciences/Environment and Society", "cnn", "580", "CARBON EMISSIONS", "aerial survey; data recovery; CNN; deep learning; SfM; Congo Basin", "0303 health sciences", "PHOTOGRAPHS", "Q", "deep learning", "15. Life on land", "Congo Basin", "LAND-COVER", "sfm", "13. Climate action", "Earth and Environmental Sciences", "SfM", "cavelab", "General Earth and Planetary Sciences", "CO2", "VEGETATION", "SELF-SIMILARITY", "CNN", "data recovery"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/4/638/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/4/638/pdf"}, {"href": "https://doi.org/10.3390/rs12040638"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12040638", "name": "item", "description": "10.3390/rs12040638", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12040638"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-14T00:00:00Z"}}, {"id": "10.3390/rs13163181", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:11Z", "type": "Journal Article", "created": "2021-08-11", "title": "Retrieving Crop Albedo Based on Radar Sentinel-1 and Random Forest Approach", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Monitoring agricultural crops is of paramount importance for preserving water resources and increasing water efficiency over semi-arid areas. This can be achieved by modelling the water resources all along the growing season through the coupled water\u2013surface energy balance. Surface albedo is a key land surface variable to constrain the surface radiation budget and hence the coupled water\u2013surface energy balance. In order to capture the hydric status changes over the growing season, optical remote sensing becomes impractical due to cloud cover in some periods, especially over irrigated winter crops in semi-arid regions. To fill the gap, this paper aims to generate cloudless surface albedo product from Sentinel-1 data that offers a source of high spatio-temporal resolution images. This can help to better capture the vegetation development along the growth season through the surface radiation budget. Random Forest (RF) algorithm was implemented using Sentinel-1 backscatters as input. The approach was tested over an irrigated semi-arid zone in Morocco, which is known by its heterogeneity in term of soil conditions and crop types. The obtained results are evaluated against Landsat-derived albedo with quasi-concurrent Landsat/Sentinel-1 overpasses (up to one day offset), while a further validation was investigated using in situ field scale albedo data. The best model-hyperparameters selection was dependent on two validation approaches (K-fold cross-validation \u2018k = 10\u2019, and holdout). The more robust and accurate model parameters are those that represent the best statistical metrics (root mean square error \u2018RMSE\u2019, bias and correlation coefficient \u2018R\u2019). Coefficient values ranging from 0.70 to 0.79 and a RMSE value between 0.0002 and 0.00048 were obtained comparing Landsat and predicted albedo by RF method. The relative error ratio equals 4.5, which is acceptable to predict surface albedo.</p></article>", "keywords": ["[SDE] Environmental Sciences", "crop vegetation", "550", "Science", "Q", "500", "surface albedo", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "[SDE]Environmental Sciences", "Sentinel-1", "0401 agriculture", " forestry", " and fisheries", "Landsat", "random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/16/3181/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/16/3181/pdf"}, {"href": "https://doi.org/10.3390/rs13163181"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13163181", "name": "item", "description": "10.3390/rs13163181", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13163181"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-11T00:00:00Z"}}, {"id": "10.3390/rs13173355", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:11Z", "type": "Journal Article", "created": "2021-08-25", "title": "Reviewing the Potential of Sentinel-2 in Assessing the Drought", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This paper systematically reviews the potential of the Sentinel-2 (A and B) in assessing drought. Research findings, including the IPCC reports, highlighted the increasing trend in drought over the decades and the need for a better understanding and assessment of this phenomenon. Continuous monitoring of the Earth\u2019s surface is an efficient method for predicting and identifying the early warnings of drought, which enables us to prepare and plan the mitigation procedures. Considering the spatial, temporal, and spectral characteristics, the freely available Sentinel-2 data products are a promising option in this area of research, compared to Landsat and MODIS. This paper evaluates the recent developments in this field induced by the launch of Sentinel-2, as well as the comparison with other existing data products. The objective of this paper is to evaluate the potential of Sentinel-2 in assessing drought through vegetation characteristics, soil moisture, evapotranspiration, surface water including wetland, and land use and land cover analysis. Furthermore, this review also addresses and compares various data fusion methods and downscaling methods applied to Sentinel-2 for retrieving the major bio-geophysical variables used in the analysis of drought. Additionally, the limitations of Sentinel-2 in its direct applicability to drought studies are also evaluated.</p></article>", "keywords": ["land use and land cover analysis", "vegetation response", "Sentinel-2; drought; soil moisture; evapotranspiration; vegetation response; surface water and wetland analysis; land use and land cover analysis", "Science", "Q", "evapotranspiration", "0207 environmental engineering", "drought", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "surface water and wetland analysis", "13. Climate action", "Sentinel-2; drought", "Sentinel-2", "soil moisture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/13/17/3355/pdf"}, {"href": "https://doi.org/10.3390/rs13173355"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13173355", "name": "item", "description": "10.3390/rs13173355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13173355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-24T00:00:00Z"}}, {"id": "10.3390/rs13204063", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:11Z", "type": "Journal Article", "created": "2021-10-12", "title": "Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change has proven to have a profound impact on the growth of vegetation from various points of view. Understanding how vegetation changes and its response to climatic shift is of vital importance for describing their mutual relationships and projecting future land\u2013climate interactions. Arid areas are considered to be regions that respond most strongly to climate change. Xinjiang, as a typical dryland in China, has received great attention lately for its unique ecological environment. However, comprehensive studies examining vegetation change and its driving factors across Xinjiang are rare. Here, we used the remote sensing datasets (MOD13A2 and TerraClimate) and data of meteorological stations to investigate the trends in the dynamic change in the Normalized Difference Vegetation Index (NDVI) and its response to climate change from 2000 to 2019 across Xinjiang based on the Google Earth platform. We found that the increment rates of growth-season mean and maximum NDVI were 0.0011 per year and 0.0013 per year, respectively, by averaging all of the pixels from the region. The results also showed that, compared with other land use types, cropland had the fastest greening rate, which was mainly distributed among the northern Tianshan Mountains and Southern Junggar Basin and the northern margin of the Tarim Basin. The vegetation browning areas primarily spread over the Ili River Valley where most grasslands were distributed. Moreover, there was a trend of warming and wetting across Xinjiang over the past 20 years; this was determined by analyzing the climate data. Through correlation analysis, we found that the contribution of precipitation to NDVI (R2 = 0.48) was greater than that of temperature to NDVI (R2 = 0.42) throughout Xinjiang. The Standardized Precipitation and Evapotranspiration Index (SPEI) was also computed to better investigate the correlation between climate change and vegetation growth in arid areas. Our results could improve the local management of dryland ecosystems and provide insights into the complex interaction between vegetation and climate change.</p></article>", "keywords": ["2. Zero hunger", "arid areas", "Science", "Q", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "climate change", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "MOD13A2", "arid areas; vegetation variation; climate change; MOD13A2; Google Earth Engine", "Google Earth Engine", "vegetation variation", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/20/4063/pdf"}, {"href": "https://doi.org/10.3390/rs13204063"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13204063", "name": "item", "description": "10.3390/rs13204063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13204063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-11T00:00:00Z"}}, {"id": "10.3390/s19040904", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:12Z", "type": "Journal Article", "created": "2019-02-22", "title": "Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)", "description": "<p>The spatial quantification of green leaf area index (LAIgreen), the total green photosynthetically active leaf area per ground area, is a crucial biophysical variable for agroecosystem monitoring. The Sentinel-2 mission is with (1) a temporal resolution lower than a week, (2) a spatial resolution of up to 10 m, and (3) narrow bands in the red and red-edge region, a highly promising mission for agricultural monitoring. The aim of this work is to define an easy implementable LAIgreen index for the Sentinel-2 mission. Two large and independent multi-crop datasets of in situ collected LAIgreen measurements were used. Commonly used LAIgreen indices applied on the Sentinel-2 10 m \uffc3\uff97 10 m pixel resulted in a validation R2 lower than 0.6. By calculating all Sentinel-2 band combinations to identify high correlation and physical basis with LAIgreen, the new Sentinel-2 LAIgreen Index (SeLI) was defined. SeLI is a normalized index that uses the 705 nm and 865 nm centered bands, exploiting the red-edge region for low-saturating absorption sensitivity to photosynthetic vegetation. A R2 of 0.708 (root mean squared error (RMSE) = 0.67) and a R2 of 0.732 (RMSE = 0.69) were obtained with a linear fitting for the calibration and validation datasets, respectively, outperforming established indices. Sentinel-2 LAIgreen maps are presented.</p>", "keywords": ["2. Zero hunger", "leaf area index", "Chemical technology", "0211 other engineering and technologies", "TP1-1185", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "crops", "7. Clean energy", "Article", "remote sensing", "13. Climate action", "vegetation indices", "red-edge", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/19/4/904/pdf"}, {"href": "https://doi.org/10.3390/s19040904"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s19040904", "name": "item", "description": "10.3390/s19040904", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s19040904"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-21T00:00:00Z"}}, {"id": "10.3390/su10010270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:13Z", "type": "Journal Article", "created": "2018-01-22", "title": "Responses of Vegetation Cover to Environmental Change in Large Cities of China", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Vegetation cover is crucial for the sustainability of urban ecosystems; however, this cover has been undergoing substantial changes in cities. Based on climate data, city statistical data, nighttime light data and the Normalized Difference Vegetation Index (NDVI) dataset, we investigate the spatiotemporal variations of climate factors, urban lands and vegetation cover in 71 large cities of China during 1998\u20132012, and explore their correlations. A regression model between growing-season NDVI (G-NDVI) and urban land proportion (PU) is built to quantify the impact of urbanization on vegetation cover change. The results indicate that the spatiotemporal variations of temperature, precipitation, PU and G-NDVI are greatly different among the 71 cities which experienced rapid urbanization. The spatial difference of G-NDVI is closely related to diverse climate conditions, while the inter-annual variations of G-NDVI are less sensitive to climate changes. In addition, there is a negative correlation between G-NDVI trend and PU change, indicating vegetation cover in cities have been negatively impacted by urbanization. For most of the inland cities, the urbanization impacts on vegetation cover in urban areas are more severe than in suburban areas. But the opposite occurs in 17 cities mainly located in the coastal areas which have been undergoing the most rapid urbanization. Overall, the impacts of urbanization on G-NDVI change are estimated to be \u22120.026 per decade in urban areas and \u22120.015 per decade in suburban areas during 1998\u20132012. The long-term developments of cities would persist and continue to impact on the environmental change and sustainability. We use a 15-year window here as a case study, which implies the millennia of human effects on the natural biotas and warns us to manage landscapes and preserve ecological environments properly.</p></article>", "keywords": ["13. Climate action", "11. Sustainability", "vegetation cover; urbanization; climate change; NDVI; cities; China", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/10/1/270/pdf"}, {"href": "https://www.mdpi.com/2071-1050/10/1/270/pdf"}, {"href": "https://doi.org/10.3390/su10010270"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su10010270", "name": "item", "description": "10.3390/su10010270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su10010270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-20T00:00:00Z"}}, {"id": "10.3390/su8010056", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:14Z", "type": "Journal Article", "created": "2016-01-09", "title": "Effect Of Grazing Exclusion On Vegetation Characteristics And Soil Organic Carbon Of Leymus Chinensis Grassland In Northern China", "description": "<p>Overgrazing has caused vegetation destruction and soil degradation in Leymus chinensis grassland, the widely distributed type of grassland in northern China. To restore the degraded ecosystem, grazing exclusion was implemented in 1979, 1999, and 2004. However, changes in the vegetation and soil organic carbon (SOC) in different years of grazing exclusion have not been thoroughly elucidated. This paper examines the changes in vegetation characteristics (i.e., biomass, cover, richness, degree of succession, and shannon diversity index) and SOC under free of grazing (FG), 6 years (6 GE), 11 years (11 GE), and 31 years (31 GE) of grazing exclusion plots in the Xilin River Basin, China. The results indicate that the vegetation characteristics and SOC increased during the restoration process. Both the vegetation characteristics and SOC in 6 GE did not differ significantly from FG (p &gt; 0.05), while these indexes in 11 GE were significantly higher than in FG. The differences between the vegetation characteristics and SOC in 11 GE and those in 31 GE were not significant. To meet the tradeoff between ecosystem conservation and utilization, further studies with multi-year observation should be conducted to identify the optimal duration of grazing exclusion and the grazing exclusion time threshold in L. chinensis grassland. This study provides valuable insights into sustainable grassland management in northern China.</p>", "keywords": ["2. Zero hunger", "0106 biological sciences", "biodiversity; biomass; ecosystem management; vegetation recovery", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water"], "contacts": [{"organization": "Haiping Tang, Jiao Chen,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2071-1050/8/1/56/pdf"}, {"href": "https://doi.org/10.3390/su8010056"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su8010056", "name": "item", "description": "10.3390/su8010056", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su8010056"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-08T00:00:00Z"}}, {"id": "10.3897/arphapreprints.e101101", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:18Z", "type": "Report", "created": "2023-02-01", "title": "Assessing the diversity and spatial distribution of nematodes in the Store Mosse National Park (Sweden) using metabarcoding", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Nematode taxa of the Store Mosse National Park in the south of Sweden were surveyed using DNA metabarcoding. Samples were collected from a range of media across all the five vegetation types the park spans. A total of 50 samples consisting of soil, litter, lichens, sphagnum, roots, wood, moss, fungus and anthill materials were analysed. Nematodes were characterised using a ~350 bp region of their 18S ribosomal RNA gene that include V7 and V8 variable domains. The analysis identified 47 families, 76 genera (21 new to Swedish fauna) and 60 species (31 new to Swedish fauna). Some nematodes showed a strong association with certain medium types, especially at the species level. The results showed a strong justification for our strategy of sampling different medium types. Soil and litter communities, which were the most diverse, showed high levels of stability with good balance of all the various trophic and coloniser-persister groups.</p></article>", "keywords": ["molecular marker", "litter", "Nematoda", "vegetation", "national park", "15. Life on land", "soil"]}, "links": [{"href": "https://doi.org/10.3897/arphapreprints.e101101"}, {"rel": "self", "type": "application/geo+json", "title": "10.3897/arphapreprints.e101101", "name": "item", "description": "10.3897/arphapreprints.e101101", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3897/arphapreprints.e101101"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-01T00:00:00Z"}}, {"id": "10.5061/dryad.266m0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:25Z", "type": "Dataset", "title": "Data from: Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland", "description": "unspecifiedSoil carbon sequestration in agroecosystems could play a key role in  climate change mitigation but will require accurate predictions of soil  organic carbon (SOC) stocks over spatial scales relevant to land  management. Spatial variation in underlying drivers of SOC, such as plant  productivity and soil mineralogy, complicates these predictions. Recent  advances in the availability of remotely sensed data make it practical to  generate multidecadal time series of vegetation indices with high spatial  resolution and coverage. However, the utility of such data largely is  unknown, only having been tested with shorter (e.g., 1-2 year) data  summaries. Across a 2000 ha subtropical grassland, we found that a long  time series (28 years) of a vegetation index (Enhanced Vegetation Index;  EVI) derived from the Landsat 5 satellite significantly enhanced  prediction of spatially varying SOC pools, while a short summary (2 years)  was an ineffective predictor. EVI was the best predictor for surface SOC  (0-5 cm depth) and total measured SOC stocks (0-15 cm). The optimum models  for SOC in the upper soil layer combined EVI records with elevation and  calcium concentration, while deeper SOC was more strongly associated with  calcium availability. We demonstrate how data from the open access Landsat  archive can predict SOC stocks, a key ecosystem metric, and illustrate the  rich variety of analytical approaches that can be applied to long time  series of remotely sensed greenness. Overall, our results showed that SOC  pools were closely coupled to EVI in this ecosystem, demonstrating that  maintenance of higher average green leaf area is correlated with higher  SOC. The strong associations of vegetation greenness and calcium  concentration with SOC suggest that the ability to sequester additional  SOC likely will rely on strategic management of pasture vegetation and  soil fertility.", "keywords": ["2. Zero hunger", "13. Climate action", "vegetation greenness", "grazing lands", "Paspalum notatum", "subtropical pasture", "15. Life on land", "Soil carbon", "enhanced vegetation index"], "contacts": [{"organization": "Wilson, Chris H., Caughlin, T. Trevor, Rifai, Sami W., Boughton, Elizabeth H., Mack, Michelle C., Flory, S. Luke,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.266m0"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.266m0", "name": "item", "description": "10.5061/dryad.266m0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.266m0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-03T00:00:00Z"}}, {"id": "10.5061/dryad.c2fqz6175", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:29Z", "type": "Dataset", "title": "Plant composition of northern temperate pastures and their disturbance history in Alberta, Canada", "description": "unspecifiedMethods copied from our accepted manuscript:\u00a0Pyle, Lysandra A.,  Hall, Linda, and Bork, Edward W. (In Press). Northern temperate pastures  exhibit divergent plant community responses to management and disturbance  legacies identified through a producer survey. <em>Applied  Vegetation Science</em>. <b>1.\u00a0 Study  location</b> We surveyed 102 pastures during 2012 (n=44) and 2013 (n=58)  between May 24 and July 6, distributed across agricultural lands within 80  km of Edmonton, Alberta, Canada.\u00a0 About half the pastures were in the  Central Parkland (n=50), with the remainder in the Dry Mixedwood (n=50)  and Central Mixedwood (n=2) subregions.\u00a0A large and well-distributed  sample size ensured wide variation in soil textures, seeded and non-seeded  vegetation, and management actions. Pastures were selected using a  stratified random approach, separated by at least 800 m. Pastures were  identified through consultation with municipal county staff, then driving  roadsides to confirm suitable fields visually. Pastures had to accommodate  a 260 m long transect (minimum of 4 ha) with buffer zones from wetlands  (30 m), forests and fence lines (10 m), with larger pastures given  preference.\u00a0Acquisition of sites was constrained by landowners\u2019  willingness to grant permission to their land, although refusals were  uncommon (n &lt; 10). A privacy agreement with landowners prohibits us  from releasing the locations of pastures.  <strong>2. Producer management and disturbance  history</strong> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Pasture management  and disturbance history were acquired for all 102 pastures through a  retrospective, in-person interview.\u00a0Interviews were approved by the  University of Alberta\u2019s Research Ethics Board (ID: Pro0030842). Interviews  identified historical and current land-use practices and natural  disturbances potentially influencing soil and vegetation. Managers were  initially asked about ownership and whether the pasture had been  previously cultivated. If cultivated, managers estimated when it was  planted (grassland age) and how (seeding history was described in Pyle,  Hall, &amp; Bork, 2018); cultivation status could also be classified  as unknown (attributed to land-turnover or rented pasture). Recent  management actions were summarized, including grazing history (grazing  system, timing of grazing, number of animals, type of livestock,  supplemental feeding with hay), mechanical treatments (aerated, harrowed,  or swathed/mowed), nutrient addition (fertilizer or manure), or herbicide  application. Livestock stocking rates [in animal-unit-months per ha (AUM  ha<sup>-1</sup>)] were calculated for pastures (n=80) where  adequate information on grazing activities was obtained (see Pyle, Hall,  &amp; Bork, 2018), where one AUM is the forage required to support a  mature cow (with or without a calf) for one month. Other natural  disturbances capable of influencing vegetation, such as a known history of  recent fire, were recorded. All management actions and disturbance factors  are described in Appendix S1 (<em>Applied Vegetation  Science</em> manuscript). <strong>3.  Plant cover, ground cover, and soil properties</strong>  \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Following the interview, a grassland assessment was  conducted. To begin sampling, a random point was located from which a 260  m long \u2018W-transect\u2019 was laid out (Thomas, 1985). Plant composition and  ground cover were assessed at nine equidistant locations using a 0.25  m<sup>2</sup> quadrat. Foliar cover was estimated for each  plant species, with trace species recorded as 0.1%. Plants were identified  (Moss &amp; Packer, 1983) and nomenclature updated using VASCAN  (Brouillet et al., 2018). Plant species were later grouped into major  cover components by origin (total native, total introduced) and growth  form [forbs, graminoids (grasses, sedges, rushes)], as well as functional  groups such as introduced grasses (seeded or widely naturalized),  introduced legumes (seeded or widely naturalized), introduced ruderal  forbs (agronomic weeds), noxious weeds [defined by the <i>Weed  Control Act </i>(Province of Alberta, 2010)], native perennial  graminoids, native perennial forbs, native ruderal forbs, and native woody  plants. These functional groups are related to rangeland health, which  evaluates key forages, along with unpalatable and disturbance-induced  plants. For each pasture, plant community richness, diversity (effective  number of species), and Pielou\u2019s evenness were summarized for inclusion in  multivariate analyses. At all locations where cover was observed, the area of  litter and exposed mineral soil on the ground surface were estimated, and  litter depth was measured at five random locations within the 0.25  m<sup>2 </sup>frame. Mineral soil was sampled to a depth of 15  cm at ten random locations. During preparation of soil cores (Pyle, Hall,  &amp; Bork, 2019), charcoal layers in the top 15 cm of mineral soil  were often found, indicating fire occurrence in the pasture\u2019s history and  not reported by managers. For each grassland, soil properties including %  total carbon (C), % total nitrogen (N), carbon to nitrogen ratio (C:N),  organic matter (OM), pH, electrical conductivity (EC), and texture (%  clay, % sand, % silt) were measured. Procedures and specific responses are  summarized elsewhere (Pyle, Hall, &amp; Bork, 2019).  <strong>4. Rangeland health</strong>  \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Rangeland health was assessed using the <i>Tame  Pasture Assessment Form </i>developed by Alberta Environment and  Parks (Adams et al., 2010; resources available at https://www.alberta.ca/range-health.aspx). In brief, this process evaluated grasslands based on six criteria, including: (1) vegetation composition and forage cover (tame or modified-tame), (2) the status of vegetation as either desirable (i.e., tall, productive forages) or non-desirable (non-palatable) species in tame pasture, (3) hydrologic function and nutrient cycling (abundance of litter), (4) site stability (exposed mineral soil and evidence of erosion), (5) noxious weeds, and (6) encroachment by woody plants (scoring is summarized in Pyle, Hall, &amp; Bork, 2018). In total, 60% of the health score arises from vegetation attributes, 25% from hydrologic function, and 15% from site stability (Adams et al., 2010). <strong>5. Literature Cited</strong> Adams, B. W., Ehlert, G., Stone, C., Lawrence, D., Alexander, M., Willoughby, M., Hincz, C., Moisey, D., Burkinshaw, A., Carlson, J., &amp; France, K. (2010). <i>Rangeland health assessment for grassland, forest and tame pasture</i>. Public Lands and Forests Division, Alberta Sustainable Resource Development, Alberta, Canada. \u00a0 Brouillet L, Desmet P, Coursol F, Meades SJ, Favreau M, Anions M, B\u00e9lisle P, Gendreau C, Shorthouse D, &amp; Contributors. (2018). <i>Database of Vascular Plants of Canada (VASCAN).</i> Online at http://data.canadensys.net/vascan. https://doi.org/10.3897/phytokeys.25.3100\u00a0 [accessed in August 2018] \u00a0 Moss, E. H., &amp; Packer, J. G. (1983). <i>Flora of Alberta: a manual of flowering plants, conifers, ferns, and fern allies found growing without cultivation in the Province of Alberta, Canada </i>(2<sup>nd</sup> ed.). University of Toronto Press, London, Ontario, Canada. Province of Alberta. 2010. <i>Weed Control Act</i>. Her Majesty the Queen in the Right of Alberta, Edmonton, Alberta, Canada. Pyle, L. A, Hall, L. M. &amp; Bork, E. W. (2018). Linking management practices with range health in northern temperate pastures. <i>Canadian Journal of Plant Science</i>, 98(3), 657-671. https://doi.org/10.1139/cjps-2017-0223 Pyle, L. A, Hall, L. M., &amp; Bork, E. W. (2019). Soil properties in northern temperate pastures do not vary with management practices and are independent of rangeland health. <i>Canadian Journal of Soil Science</i>, 99(4), 495-507. https://doi.org/10.1139/CJSS-2019-0076 Thomas, A. G. (1985). Weed survey system used in Saskatchewan for cereal and oilseed crops. <i>Weed Science</i>, 33(1), 34-43. https://doi.org/10.1017/S0043174500083892", "keywords": ["2. Zero hunger", "pasture management", "plant composition", "vegetation composition", "disturbance legacy", "15. Life on land", "rangeland health", "12. Responsible consumption", "fire history", "cultivation", "soil properties", "pasture inputs", "FOS: Other agricultural sciences", "producer survey"]}, "links": [{"href": "https://doi.org/10.5061/dryad.c2fqz6175"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.c2fqz6175", "name": "item", "description": "10.5061/dryad.c2fqz6175", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.c2fqz6175"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-25T00:00:00Z"}}, {"id": "10.5061/dryad.qjq2bvqmv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:32Z", "type": "Dataset", "created": "2023-12-04", "title": "Effects of plant traits and ecosystem properties on wave attenuation and soil carbon content", "description": "unspecifiedMicrosoft Excel", "keywords": ["soil organic carbon", "Tidal marshes", "13. Climate action", "plant traits", "FOS: Biological sciences", "ecosystem properties", "estuarine vegetation", "15. Life on land", "ecosystem services", "wave attenuation"], "contacts": [{"organization": "Schulte Ostermann, Tilla, Heuner, Maike, Fuchs, Elmar, Temmerman, Stijn, Schoutens, Ken, Bouma, Tjeerd J., Minden, Vanessa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.qjq2bvqmv"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.qjq2bvqmv", "name": "item", "description": "10.5061/dryad.qjq2bvqmv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.qjq2bvqmv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-02T00:00:00Z"}}, {"id": "10.5194/bg-19-5125-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:37Z", "type": "Journal Article", "created": "2022-11-10", "title": "Management-induced changes in soil organic carbon  on global croplands", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Soil organic carbon (SOC), one of the largest terrestrial carbon (C) stocks on Earth, has been depleted by anthropogenic land cover change and agricultural management. However, the latter has so far not been well represented in global C stock assessments. While SOC models often simulate detailed biochemical processes that lead to the accumulation and decay of SOC, the management decisions driving these biophysical processes are still little investigated at the global scale. Here we develop a spatially explicit data set for agricultural management on cropland, considering crop production levels, residue returning rates, manure application, and the adoption of irrigation and tillage practices. We combine it with a reduced-complexity model based on the Intergovernmental Panel on Climate Change (IPCC) tier\u00a02 method to create a half-degree resolution data set of SOC stocks and SOC stock changes for the first 30\u2009cm of mineral soils. We estimate that, due to arable farming, soils have lost around 34.6\u2009GtC relative to a counterfactual hypothetical natural state in 1975. Within the period 1975\u20132010, this SOC debt continued to expand by 5\u2009GtC (0.14\u2009GtC\u2009yr\u22121) to around 39.6\u2009GtC. However, accounting for historical management led to 2.1\u2009GtC fewer (0.06\u2009GtC\u2009yr\u22121) emissions than under the assumption of constant management. We also find that management decisions have influenced the historical SOC trajectory most strongly by residue returning, indicating that SOC enhancement by biomass retention may be a promising negative emissions technique. The reduced-complexity SOC model may allow us to simulate management-induced SOC enhancement \u2013 also within computationally demanding integrated (land use) assessment modeling.                     </p></article>", "keywords": ["570", "AGRICULTURE", "550", "Supplementary Data", "QH301 Biology", "agricultural management", "crop production", "SEQUESTRATION", "551", "01 natural sciences", "630", "NITROGEN-CYCLE", "QH301", "Life", "land cover", "QH501-531", "SDG 13 - Climate Action", "soil carbon", "SDG 2 - Zero Hunger", "EMISSIONS", "CROPS", "QH540-549.5", "global change", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "2. Zero hunger", "QE1-996.5", "Ecology", "INTENSIFICATION", "VEGETATION MODEL", "Geology", "LAND-USE CHANGE", "15. Life on land", "carbon sequestration", "CLIMATE", "COVER CHANGE", "agricultural land", "13. Climate action", "trajectory", "Intergovernmental Panel on Climate Change"]}, "links": [{"href": "https://bg.copernicus.org/articles/19/5125/2022/bg-19-5125-2022.pdf"}, {"href": "https://doi.org/10.5194/bg-19-5125-2022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-19-5125-2022", "name": "item", "description": "10.5194/bg-19-5125-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-19-5125-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-22T00:00:00Z"}}, {"id": "10.5061/dryad.902k846", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:28Z", "type": "Dataset", "title": "Data from: The influence of topography and soil phosphorus on the vegetation of Korup Forest Reserve, Cameroun", "description": "unspecifiedSouthern Korup Transect  Plots DataText to files on Korup  plot data of Gartlan and Thomas In the southern part of Korup National  Park (58o10 N, 8o70 E), 135 plots, each of 80 m x 80m in area, were laid  out at 150-m intervals along four E-to-W transect lines (P, Q, R and S;  each of 34 plots, excepting Q with 33). Lines were ~5 km in length, and  separated S-to-N at ~4 km distance. Shrubs and small trees were very  lightly cut to show a way between plots. Each plot was divided into four  40-m x 40-m subplots, although only data at the whole plot level are  archived here. Details of the layout and environmental information are  found in Gartlan et al. (1986). All trees of \u2265 30 cm gbh (girth at breast  height, 1.3 m) were measured and identified. Coordinate locations of trees  within subplots were not taken: trees were not tagged. Lianas were also  recorded but are not included here. The plots were not marked at their  corners in any permanent manner apart from an indication of their location  by single tags on trees at the start of each plot on the line. The field  work was undertaken in 1975-1977, principally by J. S. Gartlan, D. W.  Thomas and F. Namata. Plots were relocatable up to about 1998, after which  time many tags had become very difficult to find. Except for transect P,  the southernmost line, and which has continued in use for further research  up until the present, the other lines have faded. There are four  ASCII-text files. These were the inputs for the abundance tables,  classifications and ordinations in Gartlan et al. (1986). (1) \u2018korbar.txt\u2019  has the basal areas (ba) per plot (units: m2/0.1-ha) of each tree species,  written in the Cornell Condensed Format (CCF) of the programs DECORANA and  CANOCO. Each line of the data has a plot number followed by four couplets  of \u2018species number and ba-value\u2019. (Some lines have trailing zero entries.)  Plots numbers are: 1-34, transect P; 35-67, Q; 68-101, R; and 102-135, S.  (2) \u2018korfre.txt\u2019 has the numbers of trees of each tree species per plot,  corresponding to \u2018korbar.txt\u2019 and also in the CCF. (3) \u2018korlsp.txt\u2019  contains a list of the 444 species\u2019 identifier codes (all transects); and  (4) \u2018kortax.txt\u2019 is a dictionary of these species\u2019 codes giving their full  Latin names and authorities as of 1986, arranged under family names. The  taxonomy has not been updated, and the modern user may want to revise it  using an international plant names\u2019 index. These data were also the basis  to Newbery &amp; Gartlan (1996) and Newbery et al. (1988, 1997, 1998).  _References Gartlan, J. S., D. M. Newbery, D. W. Thomas, and P. G.  Waterman. 1986. The influence of topography and soil phosphorus on the  vegetation of Korup Forest Reserve, Cameroun. Vegetatio 65:131-148.  Newbery, D. M., I. J. Alexander, and J. A. Rother. 1997. Phosphorus  dynamics in a lowland African rain forest: The influence of  ectomycorrhizal trees. Ecological Monographs 67:367-409. Newbery, D. M.,  I. J. Alexander, D. W. Thomas, and J. S. Gartlan. 1988. Ectomycorrhizal  Rain-Forest Legumes and Soil-Phosphorus in Korup-National-Park, Cameroon.  New Phytologist 109:433-450. Newbery, D. M. and J. S. Gartlan. 1996.  Structural analysis of the rain forest at Korup and Douala Edea, Cameroon.  Proceedings of the Royal Society of Edinburgh B 104:177-224. Newbery, D.  M., N. C. Songwe, and G. B. Chuyong. 1998. Phenology and dynamics of an  African rain forest at Korup, Cameroon. Pages 267-308 in D. M. Newbery, H.  H. T. Prins, and N. D. Brown, editors. Dynamics of tropical communities.  Blackwell Science, Oxford.", "keywords": ["2. Zero hunger", "vegetation gradient", "soil phosphorus", "Oubanguia alata", "Atlantic Coastal formation", "15. Life on land", "Microberlinia bisulcata"], "contacts": [{"organization": "Thomas, Duncan W., Newbery, David M., Waterman, P. G., Gartlan, J. S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.902k846"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.902k846", "name": "item", "description": "10.5061/dryad.902k846", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.902k846"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-03T00:00:00Z"}}, {"id": "10.5061/dryad.bnzs7h4fn", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:29Z", "type": "Dataset", "title": "Landcover map for the central region of the Yukon-Kuskokwim Delta, Alaska", "description": "unspecifiedThis landcover classification was created for the purposes of  determining watershed landcover as potential drivers of downstream  waterbody CH<sub>4</sub>\u00a0and  CO<sub>2</sub>\u00a0concentrations. The region of interest is a  watershed in the central portion of the Yukon-Kuskokwim Delta, Alaska,  where field observations were based. The landcover map has been clipped to  the watershed extent, and included as a shapefile. We  created a 10-m resolution landcover map for the region of interest to  determine the presence and abundance of various terrestrial, wetland,  surface waterbodies, and disturbed areas in sample watersheds. We used an  unsupervised k-means algorithm (Google Earth Engine, \u201cwekaKMeans\u201d) with  the surface reflectance raw bands, derived bands (NDWI, NDVI), slope, and  elevation as inputs for the classification. The Alaska Interagency  Coordination Center historical wildfire database was used for wildfire  delineations. Wildfires in the region of interest included fire scars from  the 1970s, 1990s, and early 2000s, collectively designated as \u201cold fires,\u201d  and fire scars from the large area burned in 2015. First, the region of  interest was divided into unburned, old fire scars, and 2015 fire scars,  and the classification algorithm was run separately for each. We used an  initial number of classes \u201ck\u201d higher than the number of known landcover  types in order to capture the variability in the driving layers, then  later grouped similar classes produced by the k-means algorithm.  Landcover accuracy was assessed using 350 randomly stratified  points from the region of interest. The classifications at these points  were compared to higher resolution (Worldview-2) imagery using Google  Earth Engine and reclassified using expert assessment. We used a confusion  matrix to assess the balanced accuracy of each classification, which  ranged from 0.75 to 0.99 (Figure S2 in Supporting Information S1 from  Ludwig et al. 2022 (the article associated with this dataset)).", "keywords": ["Arctic", "13. Climate action", "vegetation", "waterbody", "FOS: Earth and related environmental sciences", "15. Life on land", "Tundra", "6. Clean water", "landcover", "Lake"], "contacts": [{"organization": "Ludwig, Sarah, Natali, Susan M., Schade, John D., Powell, Margaret, Fiske, Greg, Commane, Roisin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.bnzs7h4fn"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.bnzs7h4fn", "name": "item", "description": "10.5061/dryad.bnzs7h4fn", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.bnzs7h4fn"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-13T00:00:00Z"}}, {"id": "10.5194/essd-10-405-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:41Z", "type": "Journal Article", "created": "2018-03-12", "title": "Global Carbon Budget 2017", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere \u2013 the global carbon budget \u2013 is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as \u00b11\u03c3. For the last decade available (2007\u20132016), EFF was 9.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, ELUC 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM 4.7\u202f\u00b1\u202f0.1\u202fGtC\u202fyr\u22121, SOCEAN 2.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND 3.0\u202f\u00b1\u202f0.8\u202fGtC\u202fyr\u22121, with a budget imbalance BIM of 0.6\u202fGtC\u202fyr\u22121 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121. Also for 2016, ELUC was 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM was 6.1\u202f\u00b1\u202f0.2\u202fGtC\u202fyr\u22121, SOCEAN was 2.6\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND was 2.7\u202f\u00b1\u202f1.0\u202fGtC\u202fyr\u22121, with a small BIM of \u22120.3\u202fGtC. GATM continued to be higher in 2016 compared to the past decade (2007\u20132016), reflecting in part the high fossil emissions and the small SLAND consistent with El Ni\u00f1o conditions. The global atmospheric CO2 concentration reached 402.8\u202f\u00b1\u202f0.1\u202fppm averaged over 2016. For 2017, preliminary data for the first 6\u20139\u00a0months indicate a renewed growth in EFF of +2.0\u202f% (range of 0.8 to 3.0\u202f%) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Qu\u00e9r\u00e9 et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).                     </p></article>", "keywords": ["ENVIRONMENT SIMULATOR JULES", "550", "530 Physics", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "MIXED-LAYER SCHEME", "INTERNATIONAL-TRADE", "7. Clean energy", "01 natural sciences", "333", "12. Responsible consumption", "FOSSIL-FUEL COMBUSTION", "ANTHROPOGENIC CO2 UPTAKE", "11. Sustainability", "SDG 13 - Climate Action", "Life Science", "GE1-350", "SDG 14 - Life Below Water", "ATMOSPHERIC CO2", "DIOXIDE EMISSIONS", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "LAND-COVER CHANGE", "QE1-996.5", "info:eu-repo/classification/ddc/550", "EARTH SYSTEM MODEL", "ddc:550", "VEGETATION MODEL", "Geology", "15. Life on land", "Environmental sciences", "Earth sciences", "13. Climate action", "8. Economic growth", "General Earth and Planetary Sciences"]}, "links": [{"href": "https://ueaeprints.uea.ac.uk/id/eprint/66578/1/Published_manuscript.pdf"}, {"href": "http://oceanrep.geomar.de/42391/1/essd-10-405-2018.pdf"}, {"href": "https://boris.unibe.ch/116576/1/lequere18essd.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "https://essd.copernicus.org/articles/10/405/2018/essd-10-405-2018.pdf"}, {"href": "https://doi.org/10.5194/essd-10-405-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-10-405-2018", "name": "item", "description": "10.5194/essd-10-405-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-10-405-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-12T00:00:00Z"}}, {"id": "10.5194/bg-16-4851-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:36Z", "type": "Journal Article", "created": "2019-12-20", "title": "\"Global biosphere\u2013climate interaction: a causal appraisal of observations and models over multiple temporal scales\"", "description": "<p>Abstract. Improving the skill of Earth system models (ESMs) in representing climate\uffe2\uff80\uff93vegetation interactions is crucial to enhance our predictions of future climate and ecosystem functioning. Therefore, ESMs need to correctly simulate the impact of climate on vegetation, but likewise feedbacks of vegetation on climate must be adequately represented. However, model predictions at large spatial scales remain subjected to large uncertainties, mostly due to the lack of observational patterns to benchmark them. Here, the bidirectional nature of climate\uffe2\uff80\uff93vegetation interactions is explored across multiple temporal scales by adopting a spectral Granger causality framework that allows identification of potentially co-dependent variables. Results based on global and multi-decadal records of remotely sensed leaf area index (LAI) and observed atmospheric data show that the climate control on vegetation variability increases with longer temporal scales, being higher at inter-annual than multi-month scales. Globally, precipitation is the most dominant driver of vegetation at monthly scales, particularly in (semi-)arid regions. The seasonal LAI variability in energy-driven latitudes is mainly controlled by radiation, while air temperature controls vegetation growth and decay in high northern latitudes at inter-annual scales. These observational results are used as a benchmark to evaluate four ESM simulations from the Coupled Model Intercomparison Project Phase\uffc2\uffa05 (CMIP5). Findings indicate a tendency of ESMs to over-represent the climate control on LAI dynamics and a particular overestimation of the dominance of precipitation in arid and semi-arid regions at inter-annual scales. Analogously, CMIP5 models overestimate the control of air temperature on seasonal vegetation variability, especially in forested regions. Overall, climate impacts on LAI are found to be stronger than the feedbacks of LAI on climate in both observations and models; in other words, local climate variability leaves a larger imprint on temporal LAI dynamics than vice versa. Note however that while vegetation reacts directly to its local climate conditions, the spatially collocated character of the analysis does not allow for the identification of remote feedbacks, which might result in an underestimation of the biophysical effects of vegetation on climate. Nonetheless, the widespread effect of LAI variability on radiation, as observed over the northern latitudes due to albedo changes, is overestimated by the CMIP5 models. Overall, our experiments emphasise the potential of benchmarking the representation of particular interactions in online ESMs using causal statistics in combination with observational data, as opposed to the more conventional evaluation of the magnitude and dynamics of individual variables.                     </p>", "keywords": ["0301 basic medicine", "Evolution", "LAND-SURFACE MODELS", "01 natural sciences", "RECENT TRENDS", "03 medical and health sciences", "Behavior and Systematics", "Life", "QH501-531", "NET PRIMARY PRODUCTION", "QH540-549.5", "Earth-Surface Processes", "0105 earth and related environmental sciences", "QE1-996.5", "EARTH SYSTEM MODEL", "Ecology", "LEAF-AREA INDEX", "Biology and Life Sciences", "Geology", "15. Life on land", "DATA SETS", "13. Climate action", "Earth and Environmental Sciences", "FEEDBACKS", "CO2", "VEGETATION", "SENSITIVITY"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/4851/2019/bg-16-4851-2019.pdf"}, {"href": "https://doi.org/10.5194/bg-16-4851-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-4851-2019", "name": "item", "description": "10.5194/bg-16-4851-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-4851-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-20T00:00:00Z"}}, {"id": "10.5091/plecevo.2011.617", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:34Z", "type": "Journal Article", "created": "2011-11-21", "description": "Background and aims - Livestock grazing exclusion was widely used to manage degraded grassland ecosystems, but little is known on the effects of long-term grazing exclusion on aboveground and belowground species diversity of the steppe vegetation in China.   Material and methods - The species composition of the aboveground vegetation and the soil seed bank were examined on sites after a 25-year grazing exclusion in a typical steppe on the Loess Plateau, NW China.   Key results - Results showed that long-term grazing exclusion significantly improved vegetation cover, biomass and aboveground species evenness. Long-term grazing exclusion significantly increased species richness and seed density in the soil seed bank, but significantly decreased belowground species evenness. The seeds were mainly present in the litter and the topsoil (0-5 cm), accounting for about 76% of the total seed number.   Exclusion of grazing significantly decreased seed depletion in soil seed bank from April to July as compared to grazed sites. The Sorensen similarity index between aboveground and belowground species composition was low in the typical steppe, and long-term grazing exclusion did not significantly improve this similarity.   Conclusion - Our results suggest that long-term grazing exclusion can significantly improve both aboveground and belowground species diversity in the steppe vegetation of the Loess Plateau, but has little or no effect on the similarity in composition between the two compartments.", "keywords": ["580", "0106 biological sciences", "2. Zero hunger", "Loess Plateau", "vegetation", "grazing", "soil seed bank", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "15. Life on land", "steppe", "grazing exclusion", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.5091/plecevo.2011.617"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5091/plecevo.2011.617", "name": "item", "description": "10.5091/plecevo.2011.617", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5091/plecevo.2011.617"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-15T00:00:00Z"}}, {"id": "10.5194/egusphere-egu22-4024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:40Z", "type": "Report", "created": "2022-03-27", "title": "Does vegetation shift in Arctic tundra upon permafrost degradation influence mineral element recycling in the topsoil?", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>&amp;lt;p&amp;gt;Climate change affects the Arctic and Subarctic regions by exposing previously frozen permafrost to thaw, unlocking nutrients, changing hydrological processes, and boosting plant growth. As a result, Arctic tundra is subject to a shrub expansion, called &amp;amp;#8220;shrubification&amp;amp;#8221; at the expense of sedge species. Depending on intrinsic foliar properties of these plant species, changes in foliar fluxes with shrubification in the context of permafrost degradation may influence topsoil mineral element composition. Despite the potential implications for the fate of organic carbon in the topsoil, this remains poorly quantified. Here, we investigate vegetation foliar and topsoil mineral element composition (mineral elements that influence organic carbon decomposition: Si, K, Ca, P, Mn, Zn, Cu, Mo and V) from a typical Arctic tundra at Eight Mile Lake (Alaska, USA) across a natural gradient of permafrost degradation. Results show that foliar element concentrations are higher (up to 9 times; Si, K, Mo, and for some species Zn) or lower (up to 2 times; Ca, P, Mn, Cu, V, and for some species Zn) in sedge than in shrub species. This induces different foliar flux with permafrost degradation and shrubification. As a result, a vegetation shift over ~40 years from sedges to shrubs has resulted in lower topsoil concentrations in Si, K, Zn and Mo (respectively of 52, 24, 20 and 51%) in poorly degraded permafrost sites compared to highly degraded permafrost sites. For other mineral elements (Ca, P, Mn, Cu and V), the vegetation shift has not induced a marked changed in topsoil concentrations at this stage of permafrost degradation. This observed change in topsoil composition involving beneficial or toxic elements for decomposers is likely to influence organic carbon decomposition. These data can serve as a first estimate to assess the influence of other shifts in vegetation in Arctic tundra such as sedge expansion with wildfires.&amp;lt;/p&amp;gt;</p></article>", "keywords": ["shrubs", "13. Climate action", "Permafrost", "vegetation shift", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.5194/egusphere-egu22-4024"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-egu22-4024", "name": "item", "description": "10.5194/egusphere-egu22-4024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu22-4024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-27T00:00:00Z"}}, {"id": "10.5194/essd-13-3707-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:41Z", "type": "Journal Article", "created": "2021-01-07", "title": "C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)", "description": "<p>Abstract. A better understanding of the hydrological functioning of irrigated crops using remote sensing observations is of prime importance in the semi-arid areas where the water resources are limited. Radar observations, available at high resolution and revisit time since the launch of Sentinel-1 in 2014, have shown great potential for the monitoring of the water content of the upper soil and of the canopy. In this paper, a complete set of data for radar signal analysis is shared to the scientific community for the first time to our knowledge. The data set is composed of Sentinel-1 products and in situ measurements of soil and vegetation variables collected during three agricultural seasons over drip-irrigated winter wheat in the Haouz plain in Morocco. The in situ data gathers soil measurements (time series of half-hourly surface soil moisture, surface roughness and agricultural practices) and vegetation measurements collected every week/two weeks including above-ground fresh and dry biomasses, vegetation water content based on destructive measurements, cover fraction, leaf area index and plant height. Radar data are the backscattering coefficient and the interferometric coherence derived from Sentinel-1 GRDH (Ground Range Detected High resolution) and SLC (Single Look Complex) products, respectively. The normalized difference vegetation index derived from Sentinel-2 data based on Level-2A (surface reflectance and cloud mask) atmospheric effects-corrected products is also provided. This database, which is the first of its kind made available in open access, is described here comprehensively in order to help the scientific community to evaluate and to develop new or existing remote sensing algorithms for monitoring wheat canopy under semi-arid conditions. The data set is particularly relevant for the development of radar applications including surface soil moisture and vegetation parameters retrieval using either physically based or empirical approaches such as machine and deep learning algorithms. The database is archived in the DataSuds repository and is freely-accessible via the DOI:  https://doi.org/10.23708/8D6WQC  (Ouaadi et al., 2020a).                         </p>", "keywords": ["550", "Arid", "Soil Moisture", "0211 other engineering and technologies", "FOS: Mechanical engineering", "02 engineering and technology", "Digital Soil Mapping Techniques", "Normalized Difference Vegetation Index", "630", "Agricultural and Biological Sciences", "Engineering", "Pathology", "GE1-350", "2. Zero hunger", "QE1-996.5", "Vegetation Monitoring", "Water content", "Ecology", "Geography", "Statistics", "Life Sciences", "Hydrology (agriculture)", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Soil Erosion and Agricultural Sustainability", "6. Clean water", "Satellite Observations", "Archaeology", "Physical Sciences", "Leaf area index", "Telecommunications", "Medicine", "Vegetation (pathology)", "Environmental Engineering", "Data set", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Aerospace Engineering", "Soil Science", "Environmental science", "Digital Soil Mapping", "[SDU] Sciences of the Universe [physics]", "Global Soil Information", "FOS: Mathematics", "Biology", "Radar", "Synthetic Aperture Radar Interferometry", "Canopy", "FOS: Environmental engineering", "Soil Properties", "Paleontology", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Agronomy", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "Mathematics"]}, "links": [{"href": "https://essd.copernicus.org/articles/13/3707/2021/essd-13-3707-2021.pdf"}, {"href": "https://doi.org/10.5194/essd-13-3707-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-13-3707-2021", "name": "item", "description": "10.5194/essd-13-3707-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-13-3707-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-07T00:00:00Z"}}, {"id": "10.5194/gmd-10-3745-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:42Z", "type": "Journal Article", "created": "2017-10-12", "title": "A representation of the phosphorus cycle for ORCHIDEE (revision\u00a04520)", "description": "<p>Abstract. Land surface models rarely incorporate the terrestrial phosphorus cycle and its interactions with the carbon cycle, despite the extensive scientific debate about the importance of nitrogen and phosphorus supply for future land carbon uptake. We describe a representation of the terrestrial phosphorus cycle for the ORCHIDEE land surface model, and evaluate it with data from nutrient manipulation experiments along a\uffc2\uffa0soil formation chronosequence in Hawaii.  ORCHIDEE accounts for the influence of the nutritional state of vegetation on tissue nutrient concentrations, photosynthesis, plant growth, biomass allocation, biochemical (phosphatase-mediated) mineralization, and biological nitrogen fixation. Changes in the nutrient content (quality) of litter affect the carbon use efficiency of decomposition and in return the nutrient availability to vegetation. The model explicitly accounts for root zone depletion of phosphorus as a function of root phosphorus uptake and phosphorus transport from the soil to the root surface.  The model captures the observed differences in the foliage stoichiometry of vegetation between an early (300-year) and a late (4.1\uffe2\uff80\uffafMyr) stage of soil development. The contrasting sensitivities of net primary productivity to the addition of either nitrogen, phosphorus, or both among sites are in general reproduced by the model. As observed, the model simulates a preferential stimulation of leaf level productivity when nitrogen stress is alleviated, while leaf level productivity and leaf area index are stimulated equally when phosphorus stress is alleviated. The nutrient use efficiencies in the model are lower than observed primarily due to biases in the nutrient content and turnover of woody biomass.  We conclude that ORCHIDEE is able to reproduce the shift from nitrogen to phosphorus limited net primary productivity along the soil development chronosequence, as well as the contrasting responses of net primary productivity to nutrient addition.                     </p>", "keywords": ["Biomass (ecology)", "Chronosequence", "Organic chemistry", "chronos\u00e9quence", "Plant Science", "mod\u00e8le", "Nitrogen cycle", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Soil water", "Pathology", "2. Zero hunger", "QE1-996.5", "Global and Planetary Change", "Orchidee", "Ecology", "Physics", "Life Sciences", "Geology", "Phosphorus", "Carbon cycle", "Chemistry", "nutrition", "Physical Sciences", "Medicine", "[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "Ecosystem Functioning", "Vegetation (pathology)", "cycle du carbone", "570", "[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "Nitrogen", "hawai", "Soil Science", "mod\u00e8le orchid\u00e9e", "Environmental science", "vegetation", "phosphore du sol", "Biology", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "Soil Fertility", "ddc:550", "Global Forest Drought Response and Climate Change", "surface terrestre", "Plant Nutrient Uptake and Signaling Pathways", "15. Life on land", "Agronomy", "hawaii", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/3745/2017/gmd-10-3745-2017.pdf"}, {"href": "https://doi.org/10.5194/gmd-10-3745-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-10-3745-2017", "name": "item", "description": "10.5194/gmd-10-3745-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-10-3745-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-12T00:00:00Z"}}, {"id": "10.5194/gmd-11-4139-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:42Z", "type": "Journal Article", "created": "2018-04-25", "title": "Global hydro-climatic biomes identified via multitask learning", "description": "<p>Abstract. The most widely-used global land cover and climate classifications are based on vegetation characteristics and/or climatic conditions derived from observational data. However, these classification schemes do not directly stem from the interaction between the local climate and the biotic environment. In this work, we model the dynamic interplay between vegetation and local climate in order to delineate ecoregions that share a coherent response to hydro-climate variability. Our novel framework is based on a multi-task learning approach that discovers the spatial relationships among different locations by learning a low-dimensional representation of predictive structures. This low-dimensional representation is combined with a clustering algorithm that yields a classification of biomes with coherent behaviour. Experimental results using global observation-based data sets indicate that, without the need to prescribe any land cover information, our method is able to identify regions of coherent climate-vegetation interactions that agree well with the expectations derived from traditional global land cover maps. The resulting global hydro-climatic biomes can be used to analyse the anomalous behaviour of specific ecosystems in response to climate extremes and to benchmark climate-vegetation interactions in Earth system models.                         </p>", "keywords": ["0301 basic medicine", "QE1-996.5", "0303 health sciences", "INCREASES", "MODELS", "0207 environmental engineering", "Biology and Life Sciences", "INVESTIGATE", "UNCERTAINTY", "Geology", "WORLD MAP", "02 engineering and technology", "15. Life on land", "FRAMEWORK", "01 natural sciences", "CLASSIFICATION", "03 medical and health sciences", "CONTEXT", "13. Climate action", "Earth and Environmental Sciences", "VEGETATION", "GEOGRAPHICALLY WEIGHTED REGRESSION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/4139/2018/gmd-11-4139-2018.pdf"}, {"href": "https://doi.org/10.5194/gmd-11-4139-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-11-4139-2018", "name": "item", "description": "10.5194/gmd-11-4139-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-11-4139-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-25T00:00:00Z"}}, {"id": "10.5194/hess-24-1781-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:44Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\uffe2\uff80\uff89km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\uffe2\uff80\uff89km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\uffe2\uff80\uff932018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\uffe2\uff80\uff932018). The field was seeded for the 2014\uffe2\uff80\uff932015 (S1), 2016\uffe2\uff80\uff932017 (S2) and 2017\uffe2\uff80\uff932018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\uffe2\uff80\uff932016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \uffce\uffb1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \uffce\uffb1PT remains at a mostly constant value (\uffe2\uff88\uffbc\uffe2\uff80\uff890.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively.                         </p>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-24-1781-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-24-1781-2020", "name": "item", "description": "10.5194/hess-24-1781-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-1781-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.5281/zenodo.1162154", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:59Z", "type": "Dataset", "title": "Effect size data for the meta-analysis article \"\"Effects of vegetation management intensity on biodiversity and ecosystem services in vineyards: a meta-analysis\"", "description": "This Exel file includes the effect size dataset used for the statistical analysis for the paper 'Effect of vegetation management intensity on biodiversity and ecosystem services in vineyards: a meta-analysis', which will be published in the Journal of Applied Ecology in 2018.  This meta-analysis was conducted in the course of the project VineDivers (www.vinedivers.eu) funded through the 2013-2014 BiodivERsA/FACCE-JPI joint call for research proposals, with the national funders: Austrian Science Fund (FWF), Spanish Ministry for Economy and Competitiveness (MINECO), French National Research Agency (ANR), Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI) and Federal Ministry of Education and Research (BMBF/Germany). P. Bat\u00e1ry was supported by the German Research Foundation (DFG BA4438/2-1) and by the Economic Development and Innovation Operational Programme of Hungary (GINOP\u20132.3.2\u201315\u20132016\u201300019).", "keywords": ["2. Zero hunger", "soil erosion", "grape yield", "soil fertility", "15. Life on land", "vineyard", "vegetation cover", "carbon sequestration", "meta-analysis", "13. Climate action", "bare soil", "weeds", "cover crops", "tillage intensity", "ecosystem services", "pest control", "organic management", "biodiversity"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1162154"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1162154", "name": "item", "description": "10.5281/zenodo.1162154", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1162154"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-29T00:00:00Z"}}, {"id": "10.5281/zenodo.11188379", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:58Z", "type": "Dataset", "title": "Paired Vegetation and Soil Burn Severity Metrics and Associated Climate, Weather, Topographical, and Land Cover Attributes", "description": "unspecifiedThis dataset pairs differenced Normalized Burn Ratio (dNBR) and soil burn severity (SBS) for 254 large (>400 ha in size) fires across the western US. Dataset also includes climate, weather, topography, physical and chemical soil characteristics, and land cover attributes of each burned pixel at the time of fire. This effort provided a table of 16.3 million burned pixels and their associated characteristics including dNBR, SBS, and 94 biological and physical covariates. After removing correlated features, the final data includes 18 fire covariates namely: dNBR, elevation, slope, aspect, land cover type, wind speed, energy release component, vapor pressure deficit, annual precipitation, and annual average daily max temperature, as well as the clay, sand and silt content of the soil and volumetric fraction of coarse fragments and soil organic carbon content. We also included spatial coherence metrices for dNBR, including DVAR, SHADE and SAVG. This data is provided as CSV files in Xtrain, Xvalidation, Xtest, as well as Ytrain, Yvalidation, and Ytest; in which X files (model input) provide all features except for SBS and Y files (model output) include SBS. We also provided this data for an additional 16 large fires across the western US ('Extra Test' folder, including Dataset \u2013 X file \u2013 and Label \u2013 Y file). Finally, the trained XGBoost model to translate dNBR to SBS using the associated features is also provided in this folder.", "keywords": ["Remote Sensing", "Soil Burn Severity Metrics", "13. Climate action", "Vegetation Burn Severity", "Climate", "DEM", "15. Life on land", "Wildfire", "Sentinel-2", "Fire", "Land Cover", "Weather", "Landsat"], "contacts": [{"organization": "Seydi, Seyd Teymoor", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.11188379"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.11188379", "name": "item", "description": "10.5281/zenodo.11188379", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.11188379"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-11T00:00:00Z"}}, {"id": "10.5281/zenodo.15319885", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:28Z", "type": "Dataset", "title": "Concentrations of trace elements measured in plants and soils at Lh\u00f9'\u00e0\u00e0n M\u00e2n' (Kluane Lake, Yukon Territory, Canada)", "description": "We sampled three plant species soapberry (Shepherdia canadensis), white spruce (Picea glauca), and twinflower (Linnaea borealis) with stainless-steel knife scissors, at 14 sites. We sampled different plant parts: fine (< 1 mm) and medium (3 to 5 mm) roots, leaves or needles, stems, and berries or flowers when possible. The parameters measured were Titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg), and lead (Pb) (mg/kg) in the three plant species.  Soil horizons were also sampled using a stainless-trowel from the surface down to the bedrock at each site. The parameters measured were conductivity (ms/cm), pH, dissolved organic carbon (DOC) (mg/L), nitrates (NO3) (mg/kg), phosphates (PO4) (mg/kg), sulfates (SO4) (mg/kg), sodium (Na) (mg/kg), potassium (K) (mg/kg), magnesium (Mg) (mg/kg), calcium (Ca) (mg/kg), titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the soil extractable fraction. The parameters measured were soil organic matter (SOM) (%), inorganic carbon (%), titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the bulk fraction. The parameters measured were titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the fine fraction.", "keywords": ["vegetation", "trace element", "metals", "dust", "subarctic"], "contacts": [{"organization": "Pouille, Sophie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15319885"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15319885", "name": "item", "description": "10.5281/zenodo.15319885", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15319885"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "10.5281/zenodo.4161694", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:45Z", "type": "Dataset", "title": "Dataset for \"Changes in Global Terrestrial Live Biomass over the 21st Century\"", "description": "Live woody vegetation is the largest reservoir of biomass carbon with its restoration considered one of the most effective natural climate solutions. However, carbon fluxes associated with terrestrial ecosystems still remain the largest source of uncertainty of the global carbon balance. Here, we develop spatially explicit estimates of global carbon stock changes of live woody biomass from 2000 to 2019 using measurements from ground, air, and space. We show live biomass has removed 4.9-5.5 PgC yr<sup>-1 </sup>from the atmosphere in this century, offsetting 4.6\u00b10.1 PgC yr<sup>-1</sup> of gross emissions from land-use and environmental disturbances and adding substantially (0.23-0.88 PgC yr<sup>-1</sup>) to the global carbon stocks. Gross emissions and removals in the tropics were four times larger than temperate and boreal ecosystems combined. Although live biomass is responsible for more than 80% of gross terrestrial fluxes, soil, dead organic matter, and lateral transport may play important roles in terrestrial carbon sink.", "keywords": ["inventory", "remote sensing", "biomass", "13. Climate action", "vegetation", "carbon", "15. Life on land"], "contacts": [{"organization": "Xu, Liang, Saatchi, Sassan S., Yang, Yan, Yu, Yifan, Pongratz, Julia, Bloom, A. Anthony, Bowman, Kevin, Worden, John, Liu, Junjie, Yin, Yi, Domke, Grant, McRoberts, Ronald E., Woodall, Christopher, Nabuurs, Gert-Jan, de-Miguel, Sergio, Keller, Michael, Nancy, Harris, Maxwell, Sean, Schimel, David,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4161694"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4161694", "name": "item", "description": "10.5281/zenodo.4161694", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4161694"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.5509889", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:48Z", "type": "Journal Article", "created": "2021-08-24", "title": "Reviewing the Potential of Sentinel-2 in Assessing the Drought", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This paper systematically reviews the potential of the Sentinel-2 (A and B) in assessing drought. Research findings, including the IPCC reports, highlighted the increasing trend in drought over the decades and the need for a better understanding and assessment of this phenomenon. Continuous monitoring of the Earth\u2019s surface is an efficient method for predicting and identifying the early warnings of drought, which enables us to prepare and plan the mitigation procedures. Considering the spatial, temporal, and spectral characteristics, the freely available Sentinel-2 data products are a promising option in this area of research, compared to Landsat and MODIS. This paper evaluates the recent developments in this field induced by the launch of Sentinel-2, as well as the comparison with other existing data products. The objective of this paper is to evaluate the potential of Sentinel-2 in assessing drought through vegetation characteristics, soil moisture, evapotranspiration, surface water including wetland, and land use and land cover analysis. Furthermore, this review also addresses and compares various data fusion methods and downscaling methods applied to Sentinel-2 for retrieving the major bio-geophysical variables used in the analysis of drought. Additionally, the limitations of Sentinel-2 in its direct applicability to drought studies are also evaluated.</p></article>", "keywords": ["land use and land cover analysis", "vegetation response", "Sentinel-2; drought; soil moisture; evapotranspiration; vegetation response; surface water and wetland analysis; land use and land cover analysis", "Science", "Q", "evapotranspiration", "0207 environmental engineering", "drought", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "surface water and wetland analysis", "13. 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