Abstract. We present and discuss a new dataset of gridded emissions covering the historical period (1850\uffe2\uff80\uff932000) in decadal increments at a horizontal resolution of 0.5\uffc2\uffb0 in latitude and longitude. The primary purpose of this inventory is to provide consistent gridded emissions of reactive gases and aerosols for use in chemistry model simulations needed by climate models for the Climate Model Intercomparison Program #5 (CMIP5) in support of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). Our best estimate for the year 2000 inventory represents a combination of existing regional and global inventories to capture the best information available at this point; 40 regions and 12 sectors are used to combine the various sources. The historical reconstruction of each emitted compound, for each region and sector, is then forced to agree with our 2000 estimate, ensuring continuity between past and 2000 emissions. Simulations from two chemistry-climate models is used to test the ability of the emission dataset described here to capture long-term changes in atmospheric ozone, carbon monoxide and aerosol distributions. The simulated long-term change in the Northern mid-latitudes surface and mid-troposphere ozone is not quite as rapid as observed. However, stations outside this latitude band show much better agreement in both present-day and long-term trend. The model simulations indicate that the concentration of carbon monoxide is underestimated at the Mace Head station; however, the long-term trend over the limited observational period seems to be reasonably well captured. The simulated sulfate and black carbon deposition over Greenland is in very good agreement with the ice-core observations spanning the simulation period. Finally, aerosol optical depth and additional aerosol diagnostics are shown to be in good agreement with previously published estimates and observations.
", "keywords": ["info:eu-repo/classification/ddc/550", "550", "IPCC", "[SDE.MCG]Environmental Sciences/Global Changes", "Physics", "QC1-999", "emissions", "551", "01 natural sciences", "7. Clean energy", "J", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "13. Climate action", "[SDE.ES] Environmental Sciences/Environment and Society", "CMIP5", "[SDE.ES]Environmental Sciences/Environment and Society", "QD1-999", "AR5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "https://doi.org/10.5194/acp-10-7017-2010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-10-7017-2010", "name": "item", "description": "10.5194/acp-10-7017-2010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-10-7017-2010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-02-19T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2011.09.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:15Z", "type": "Journal Article", "created": "2011-11-03", "title": "Wildfire Effects On Soil Organic Matter Quantity And Quality In Two Fire-Prone Mediterranean Pine Forests", "description": "Open AccessFinancial support was supplied by the Institut National des Science d'Univers of the Centre National de Recherche Scienti\ufb01que (France), under the framework of the ECCO program 'QUANTICHAR'.", "keywords": ["570", "Soil organic matter (SOM)", "Mediterranean pine forests", "Wildfires", " Mediterranean pine forests", " Soil organic matter (SOM)", " Lignin", " Charcoal.", "04 agricultural and veterinary sciences", "15. Life on land", "Lignin", "630", "Wildfires", "13. Climate action", "Charcoal", "[SDE.ES] Environmental Sciences/Environment and Society", "0401 agriculture", " forestry", " and fisheries", "14. Life underwater", "Soil organic matter (SOM);", "[SDE.ES]Environmental Sciences/Environment and Society"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2011.09.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2011.09.005", "name": "item", "description": "10.1016/j.geoderma.2011.09.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2011.09.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-01T00:00:00Z"}}, {"id": "10.1007/s10646-011-0619-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:37Z", "type": "Journal Article", "created": "2011-03-04", "title": "Investigations Of Responses To Metal Pollution In Land Snail Populations (Cantareus Aspersus And Cepaea Nemoralis) From A Smelter-Impacted Area", "description": "A cross-transplantation field experiment was performed to investigate about possible adaptation/acclimatization to metal pollution in common garden snail Cantareus aspersus (ex-Helix aspersa) and brown-lipped grove snail Cepaea nemoralis populations. Adults were collected from an area surrounding a former smelter (ME), highly polluted by trace metals (TMs) for decades, and from an unpolluted site (BE). Subadults of first generation (F1) were exposed in microcosms in a 28-day kinetic study. Four exposure sites were chosen around the smelter along a soil pollution gradient (vegetation and soil otherwise comparable). Bioaccumulation in snail soft tissues globally increased with soil contamination, with Cd, Pb and Zn concentrations reaching 271, 187, 5527\u00a0\u03bcg\u00a0g(-1), respectively. Accumulation kinetic patterns were similar between snail species but C. nemoralis showed greater TM levels than C. aspersus. Some inter-population differences were revealed in TM accumulation (bioaccumulation factors, accumulation kinetics) but did not suggest consistent adaptive responses. We did not detect negative effects of TM exposure on snail condition (body weight, shell size, shell weight). ME C. aspersus snails produced heavier shells than BE snails under exposure to TMs at the highest level, suggesting an adaptive response. The protocol used in this study, however, did not allow unambiguously distinguishing whether this response was due to genetic adaptation or to maternal effects. Abnormal but reversible shell development of adult ME C. nemoralis suggested physiological acclimatization. Differences in responses to TMs between populations are observed for conchological parameters, not for bioaccumulation, with different strategies according to the species (acclimatization or adaptation/maternal effects).", "keywords": ["550", "invertebrate", "Snails", "590", "0211 other engineering and technologies", "02 engineering and technology", "heavy metal", "Adaptation", " Physiological", "01 natural sciences", "Kinetics", "bioaccumulation", "Models", " Chemical", "Metals", "13. Climate action", "adaptive response", "Metallurgy", "Animals", "Body Size", "Soil Pollutants", "[SDE.ES]Environmental Sciences/Environment and Society", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10646-011-0619-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecotoxicology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10646-011-0619-z", "name": "item", "description": "10.1007/s10646-011-0619-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10646-011-0619-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-03-03T00:00:00Z"}}, {"id": "10.1016/j.biosystemseng.2017.09.015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:36Z", "type": "Journal Article", "created": "2017-10-23", "title": "Modified Penman\u2013Monteith equation for monitoring evapotranspiration of wheat crop: Relationship between the surface resistance and remotely sensed stress index", "description": "Evapotranspiration (ET) plays an essential role for detecting plant water status, estimating crop water needs and optimising irrigation management. Accurate estimates of ET at field scale are therefore critical. The present paper investigates a remote sensing and modelling coupled approach for monitoring actual ET of irrigated wheat crops in the semi-arid region of Tensift Al Haouz (Morocco). The ET modelling is based on a modified Penman\u2013Monteith equation obtained by introducing a simple empirical relationship between surface resistance (rc) and a stress index (SI). SI is estimated from Landsat-derived land surface temperature (LST) combined with the LST endmembers (in wet and dry conditions) simulated by a surface energy balance model driven by meteorological forcing and Landsat-derived fractional vegetation cover. The proposed model is first calibrated using eddy covariance measurements of ET during one growing season (2015\u20132016) over an experimental flood-irrigated wheat field located within the irrigated perimeter named R3. It is then validated during the same growing season over another drip-irrigated wheat field located in the same perimeter. Next, the proposed ET model is implemented over a 10\u00a0\u00d7\u00a010\u00a0km2 area in R3 using a time series of Landsat-7/8 reflectance and LST data. The comparison between modelled and measured ET fluxes indicates that the model works well. The Root Mean Square Error (RMSE) values over drip and flood sites were 13 and 12\u00a0W\u00a0m\u22122, respectively. The proposed approach has a great potential for detecting crop water stress and estimating crop water requirements over large areas along the agricultural season.", "keywords": ["0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "Penman-30", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "630", "Crop water stress", "6. Clean water", "[SDE.ES] Environmental Sciences/Environment and Society", "Bulk surface resistance", "[SDE.ES]Environmental Sciences/Environment and Society", "Landsat"]}, "links": [{"href": "https://doi.org/10.1016/j.biosystemseng.2017.09.015"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biosystems%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biosystemseng.2017.09.015", "name": "item", "description": "10.1016/j.biosystemseng.2017.09.015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biosystemseng.2017.09.015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.isprsjprs.2019.02.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:22Z", "type": "Journal Article", "created": "2019-02-15", "title": "Including Sentinel-1 radar data to improve the disaggregation of MODIS land surface temperature data", "description": "Abstract The use of land surface temperature (LST) for monitoring the consumption and water status of crops requires data at fine spatial and temporal resolutions. Unfortunately, the current spaceborne thermal sensors provide data at either high temporal (e.g. MODIS: Moderate Resolution Imaging Spectro-radiometer) or high spatial (e.g. Landsat) resolution separately. Disaggregating low spatial resolution (LR) LST data using ancillary data available at high spatio-temporal resolution could compensate for the lack of high spatial resolution (HR) LST observations. Existing LST downscaling approaches generally rely on the fractional green vegetation cover (fgv) derived from HR reflectances but they do not take into account the soil water availability to explain the spatial variability in LST at HR. In this context, a new method is developed to disaggregate kilometric MODIS LST at 100\u202fm resolution by including the Sentinel-1 (S-1) backscatter, which is indirectly linked to surface soil moisture, in addition to the Landsat-7 and Landsat-8 (L-7 & L-8) reflectances. The approach is tested over two different sites \u2013 an 8\u202fkm by 8\u202fkm irrigated crop area named \u201cR3\u201d and a 12\u202fkm by 12\u202fkm rainfed area named \u201cSidi Rahal\u201d in central Morocco (Marrakech) \u2013 on the seven dates when S-1, and L-7 or L-8 acquisitions coincide with a one-day precision during the 2015\u20132016 growing season. The downscaling methods are applied to the 1\u202fkm resolution MODIS-Terra LST data, and their performance is assessed by comparing the 100\u202fm disaggregated LST to Landsat LST in three cases: no disaggregation, disaggregation using Landsat fgv only, disaggregation using both Landsat fgv and S-1 backscatter. When including fgv only in the disaggregation procedure, the mean root mean square error in LST decreases from 4.20 to 3.60\u202f\u00b0C and the mean correlation coefficient (R) increases from 0.45 to 0.69 compared to the non-disaggregated case within R3. The new methodology including the S-1 backscatter as input to the disaggregation is found to be systematically more accurate on the available dates with a disaggregation mean error decreasing to 3.35\u202f\u00b0C and a mean R increasing to 0.75.", "keywords": ["LST", "2. Zero hunger", "550", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "01 natural sciences", "333", "6. Clean water", "MODIS/Terra", "Disaggregation", "disaggregation", "[SDE.ES] Environmental Sciences/Environment and Society", "MODIS/Terra Landsat", "MODISTerra Landsat", "Sentinel-1", "Soil moisture", "soil moisture", "[SDE.ES]Environmental Sciences/Environment and Society", "Landsat", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.isprsjprs.2019.02.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20Journal%20of%20Photogrammetry%20and%20Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.isprsjprs.2019.02.004", "name": "item", "description": "10.1016/j.isprsjprs.2019.02.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.isprsjprs.2019.02.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-01T00:00:00Z"}}, {"id": "10.1016/j.gloenvcha.2017.08.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:20Z", "type": "Journal Article", "created": "2017-10-06", "title": "Unpacking ecosystem service bundles: Towards predictive mapping of synergies and trade-offs between ecosystem services", "description": "Multiple ecosystem services (ES) can respond similarly to social and ecological factors to form bundles. Identifying key social-ecological variables and understanding how they co-vary to produce these consistent sets of ES may ultimately allow the prediction and modelling of ES bundles, and thus, help us understand critical synergies and trade-offs across landscapes. Such an understanding is essential for informing better management of multi-functional landscapes and minimising costly trade-offs. However, the relative importance of different social and biophysical drivers of ES bundles in different types of social-ecological systems remains unclear. As such, a bottom-up understanding of the determinants of ES bundles is a critical research gap in ES and sustainability science. Here, we evaluate the current methods used in ES bundle science and synthesize these into four steps that capture the plurality of methods used to examine predictors of ES bundles. We then apply these four steps to a cross-study comparison (North and South French Alps) of relationships between social-ecological variables and ES bundles, as it is widely advocated that cross-study comparisons are necessary for achieving a general understanding of predictors of ES associations. We use the results of this case study to assess the strengths and limitations of current approaches for understanding distributions of ES bundles. We conclude that inconsistency of spatial scale remains the primary barrier for understanding and predicting ES bundles. We suggest a hypothesis-driven approach is required to predict relationships between ES, and we outline the research required for such an understanding to emerge.
", "keywords": ["natural capital", "Social-ecological systems", "577", "land use", "Trade-off", "Biodiversity", "15. Life on land", "cross-study comparison", "01 natural sciences", "333", "social-ecological systems", "Cross-study comparison", "Land use", "Natural capital", "[SDE.ES] Environmental Sciences/Environment and Society", "Ecosystem services", "[SDE.ES]Environmental Sciences/Environment and Society", "ecosystem services", "French Alps", "trade-off", "biodiversity", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.soton.ac.uk/413028/1/Spake_et_alUnpacking_ecosystem_service_bundles_acceptedMS.pdf"}, {"href": "https://doi.org/10.1016/j.gloenvcha.2017.08.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Environmental%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gloenvcha.2017.08.004", "name": "item", "description": "10.1016/j.gloenvcha.2017.08.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gloenvcha.2017.08.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2014.06.105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:40Z", "type": "Journal Article", "created": "2014-07-10", "title": "Impact Of Long-Term Organic Residue Recycling In Agriculture On Soil Solution Composition And Trace Metal Leaching In Soils", "description": "Recycling composted organic residues in agriculture can reduce the need of mineral fertilizers and improve the physicochemical and biological properties of cultivated soils. However, some trace elements may accumulate in soils following repeated applications and impact other compartments of the agrosystems. This study aims at evaluating the long-term impact of such practices on the composition of soil leaching water, especially on trace metal concentrations. The field experiment QualiAgro started in 1998 on typical loess Luvisol of the Paris Basin, with a maize-wheat crop succession and five modalities: spreading of three different urban waste composts, farmyard manure (FYM), and no organic amendment (CTR). Inputs of trace metals have been close to regulatory limits, but supplies of organic matter and nitrogen overpassed common practices. Soil solutions were collected from wick lysimeters at 45 and 100 cm in one plot for each modality, during two drainage periods after the last spreading. Despite wide temporal variations, a significant effect of treatments on major solutes appears at 45 cm: DOC, Ca, K, Mg, Na, nitrate, sulphate and chloride concentrations were higher in most amended plots compared to CTR. Cu concentrations were also significantly higher in leachates of amended plots compared to CTR, whereas no clear effect emerged for Zn. The influence of amendments on solute concentrations appeared weaker at 1 m than at 45 cm, but still significant and positive for major anions and DOC. Average concentrations of Cu and Zn at 1m depth lied in the ranges [2.5; 3.8] and [2.5; 10.5 \u03bcg/L], respectively, with values slightly higher for plots amended with sewage sludge compost or FYM than for CTR. However, leaching of both metals was less than 1% of their respective inputs through organic amendments. For Cd, most values were <0.05 \u03bcg/L. So, metals added through spreading of compost or manure during 14 years may have increased metal concentrations in leachates of amended plots, in spite of increased soil organic matter, factor of metal retention. Indeed, DOC, also increased by amendments, favours the mobility of Cu; whereas pH variations, depending on treatments, influence negatively the solubility of Zn. Generic adsorption functions of these variables partly explain the variations of trace metal concentrations and helped to unravel the numerous processes induced by regular amendments with organic waste products.", "keywords": ["cultivated soil", "2. Zero hunger", "550", "trace element", "Agriculture", "heavy metal", "15. Life on land", "01 natural sciences", "630", "6. Clean water", "Refuse Disposal", "12. Responsible consumption", "Soil", "13. Climate action", "Metals", " Heavy", "11. Sustainability", "[SDE.ES] Environmental Sciences/Environment and Society", "Soil Pollutants", "Recycling", "[SDE.ES]Environmental Sciences/Environment and Society", "organic amendment", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2014.06.105"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2014.06.105", "name": "item", "description": "10.1016/j.scitotenv.2014.06.105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2014.06.105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-11-01T00:00:00Z"}}, {"id": "10.1111/1365-2664.13113", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:30Z", "type": "Journal Article", "created": "2018-01-30", "title": "Crop traits drive soil carbon sequestration under organic farming", "description": "Abstract
Organic farming (OF) enhances top soil organic carbon (SOC) stocks in croplands compared with conventional farming (CF), which can contribute to sequester C. As farming system differences in the amount of C inputs to soil (e.g. fertilization and crop residues) are not enough to explain such increase, shifts in crop residue traits important for soil C losses such as litter decomposition may also play a role.
To assess whether crop residue (leaf and root) traits determined SOC sequestration responses to OF, we coupled a global meta\uffe2\uff80\uff90analysis with field measurements across a European\uffe2\uff80\uff90wide network of sites. In the meta\uffe2\uff80\uff90analysis, we related crop species averages of leaf N, leaf\uffe2\uff80\uff90dry matter content, fine\uffe2\uff80\uff90root C and N, with SOC stocks and sequestration responses in OF vs. CF. Across six European sites, we measured the management\uffe2\uff80\uff90induced changes in SOC stocks and leaf litter traits after long\uffe2\uff80\uff90term ecological intensive (e.g. OF) vs. CF comparisons.
Our global meta\uffe2\uff80\uff90analysis showed that the positive OF\uffe2\uff80\uff90effects on soil respiration, SOC stocks, and SOC sequestration rates were significant even in organic farms with low manure application rates. Although fertilization intensity was the main driver of OF\uffe2\uff80\uff90effects on SOC, leaf and root N concentrations also played a significant role. Across the six European sites, changes towards higher leaf litter N in CF also promoted lower SOC stocks.
Our results highlight that crop species displaying traits indicative of resource\uffe2\uff80\uff90acquisitive strategies (e.g. high leaf and root N) increase the difference in SOC between OF and CF. Indeed, changes towards higher crop residue decomposability was related with decreased SOC stocks under CF across European sites.
Synthesis and applications. Our study emphasizes that, with management, changes in crop residue traits contribute to the positive effects of organic farming (OF) on soil carbon sequestration. These results provide a clear message to land managers: the choice of crop species, and more importantly their functional traits (e.g. leave and root nitrogen), should be considered in addition to management practices and climate, when evaluating the potential of OF for climate change mitigation.
", "keywords": ["SOC sequestration", "0301 basic medicine", "Organic farming", "Resource economics traits", "Soil Science", "Ecological intensification", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "Markvetenskap", "630", "Soil quality", "climate change mitigation", "Climate change mitigation", "03 medical and health sciences", "ecological intensification", "organic farming", "[SDE.ES] Environmental Sciences/Environment and Society", "Crop residue", "soil carbon stocks", "'Organics' in general", "[SDE.ES]Environmental Sciences/Environment and Society", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "580", "2. Zero hunger", "leaf nitrogen", "04 agricultural and veterinary sciences", "15. Life on land", "resource economics traits", "meta-analysis", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Meta-analysis", "crop residue", "13. Climate action", "crop traits", "0401 agriculture", " forestry", " and fisheries", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "Leaf nitrogen", "Soil carbon stocks"]}, "links": [{"href": "https://doi.org/10.1111/1365-2664.13113"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Applied%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/1365-2664.13113", "name": "item", "description": "10.1111/1365-2664.13113", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/1365-2664.13113"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-15T00:00:00Z"}}, {"id": "10.1177/0959683619826637", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:17Z", "type": "Journal Article", "created": "2019-02-15", "title": "Holocene demographic fluctuations, climate and erosion in the Mediterranean: A meta data-analysis", "description": "As part of the Changing the Face of the Mediterranean Project, we consider how human pressure and concomitant erosion has affected a range of Mediterranean landscapes between the Neolithic and, in some cases, the post-medieval period. Part of this assessment comprises an investigation of relationships among palaeodemographic data, evidence for vegetation change and some consideration of rapid climate change events. The erosion data include recent or hitherto unpublished work from the authors. Where possible, we consider summed probabilities of 14C dates as well as the first published synthesis of all known optically stimulated luminescence dated sequences. The results suggest that while there were some periods when erosion took place contemporaneously across a number of regions, possibly induced by climate changes, more often than not, we see a complex and heterogeneous interplay of demographic and environmental changes that result in a mixed pattern of erosional activity across the Mediterranean.
", "keywords": ["[SDE] Environmental Sciences", "demography", "human impact", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "[SDE.MCG]Environmental Sciences/Global Changes", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Mediterranean", "01 natural sciences", "[SDU] Sciences of the Universe [physics]", "[SDE.ES] Environmental Sciences/Environment and Society", "0601 history and archaeology", "[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "[SDE.ES]Environmental Sciences/Environment and Society", "demography; erosion; geoarchaeology; Holocene; human impact; Mediterranean", "0105 earth and related environmental sciences", "Holocene", "06 humanities and the arts", "15. Life on land", "erosion", "[SDE.MCG] Environmental Sciences/Global Changes", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "[SDE]Environmental Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "geoarchaeology"]}, "links": [{"href": "https://iris.unito.it/bitstream/2318/1858935/2/Walsh_etal_2019.pdf"}, {"href": "http://journals.sagepub.com/doi/pdf/10.1177/0959683619826637"}, {"href": "https://doi.org/10.1177/0959683619826637"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Holocene", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1177/0959683619826637", "name": "item", "description": "10.1177/0959683619826637", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1177/0959683619826637"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-14T00:00:00Z"}}, {"id": "10.1175/jhm-d-16-0280.1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:19:17Z", "type": "Journal Article", "created": "2017-12-01", "title": "Toward a Surface Soil Moisture Product at High Spatiotemporal Resolution: Temporally Interpolated, Spatially Disaggregated SMOS Data", "description": "AbstractHigh spatial and temporal resolution surface soil moisture is required for most hydrological and agricultural applications. The recently developed Disaggregation based on Physical and Theoretical Scale Change (DisPATCh) algorithm provides 1-km-resolution surface soil moisture by downscaling the 40-km Soil Moisture Ocean Salinity (SMOS) soil moisture using Moderate Resolution Imaging Spectroradiometer (MODIS) data. However, the temporal resolution of DisPATCh data is constrained by the temporal resolution of SMOS (a global coverage every 3 days) and further limited by gaps in MODIS images due to cloud cover. This paper proposes an approach to overcome these limitations based on the assimilation of the 1-km-resolution DisPATCh data into a simple dynamic soil model forced by (inaccurate) precipitation data. The performance of the approach was assessed using ground measurements of surface soil moisture in the Yanco area in Australia and the Tensift-Haouz region in Morocco during 2014. It was found that the analyzed daily 1-km-resolution surface soil moisture compared slightly better to in situ data for all sites than the original disaggregated soil moisture products. Over the entire year, assimilation increased the correlation coefficient between estimated soil moisture and ground measurements from 0.53 to 0.70, whereas the mean unbiased RMSE (ubRMSE) slightly decreased from 0.07 to 0.06 m3 m\uffe2\uff88\uff923 compared to the open-loop force\uffe2\uff80\uff93restore model. The proposed assimilation scheme has significant potential for large-scale applications over semiarid areas, since the method is based on data available at the global scale together with a parsimonious land surface model.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 (<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.
", "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/rs12101621", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:01Z", "type": "Journal Article", "created": "2020-05-20", "title": "Potential for the Detection of Irrigation Events on Maize Plots Using Sentinel-1 Soil Moisture Products", "description": "Although the real timing and flow rates used for crop irrigation are controlled at the scale of individual plots by the irrigator, they are not generally known by the farm upper management. This information is nevertheless essential, not only to compute the water balance of irrigated plots and to schedule irrigation, but also for the management of water resources at regional scales. The aim of the present study was to detect irrigation timing using time series of surface soil moisture (SSM) derived from Sentinel-1 radar observations. The method consisted of assessing the direction of change of surface soil moisture (SSM) between observations and a water balance model, and to use thresholds to be calibrated. The performance of the approach was assessed on the F-score quantifying the accuracy of the irrigation event detections and ranging from 0 (none of the irrigation timing is correct) to 100 (perfect irrigation detection). The study focused on five irrigated and one rainfed plot of maize in South-West France, where the approach was tested using in situ measurements and surface soil moisture (SSM) maps derived from Sentinel-1 radar data. The use of in situ data showed that (1) irrigation timing was detected with a good accuracy (F-score in the range (80\uffe2\uff80\uff9383) for all plots) and (2) the optimal revisit time between two SSM observations was 2\uffe2\uff80\uff934 days. The higher uncertainties of microwave SSM products, especially when the crop is well developed (normalized difference of vegetation index (NDVI) > 0.7), degraded the score (F-score = 69), but various possibilities of improvement were discussed. This paper opens perspectives for the irrigation detection at the plot scale over large areas and thus for the improvement of irrigation water management.
", "keywords": ["[SDE] Environmental Sciences", "FAO-56", "2. Zero hunger", "550", "Science", "Q", "sprinkler; corn; France; irrigation timing; FAO-56; surface soil moisture; SAR", "15. Life on land", "surface soil moisture", "630", "6. Clean water", "surface soil", "corn", "moisture", "irrigation timing", "[SDE]Environmental Sciences", "[SDE.ES] Environmental Sciences/Environment and Society", "sprinkler", "France", "[SDE.ES]Environmental Sciences/Environment and Society", "SAR"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/10/1621/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/10/1621/pdf"}, {"href": "https://doi.org/10.3390/rs12101621"}, {"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/rs12101621", "name": "item", "description": "10.3390/rs12101621", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12101621"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-19T00:00:00Z"}}, {"id": "2766086485", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:36Z", "type": "Journal Article", "created": "2017-10-24", "title": "Modified Penman\u2013Monteith equation for monitoring evapotranspiration of wheat crop: Relationship between the surface resistance and remotely sensed stress index", "description": "Evapotranspiration (ET) plays an essential role for detecting plant water status, estimating crop water needs and optimising irrigation management. Accurate estimates of ET at field scale are therefore critical. The present paper investigates a remote sensing and modelling coupled approach for monitoring actual ET of irrigated wheat crops in the semi-arid region of Tensift Al Haouz (Morocco). The ET modelling is based on a modified Penman\u2013Monteith equation obtained by introducing a simple empirical relationship between surface resistance (rc) and a stress index (SI). SI is estimated from Landsat-derived land surface temperature (LST) combined with the LST endmembers (in wet and dry conditions) simulated by a surface energy balance model driven by meteorological forcing and Landsat-derived fractional vegetation cover. The proposed model is first calibrated using eddy covariance measurements of ET during one growing season (2015\u20132016) over an experimental flood-irrigated wheat field located within the irrigated perimeter named R3. It is then validated during the same growing season over another drip-irrigated wheat field located in the same perimeter. Next, the proposed ET model is implemented over a 10\u00a0\u00d7\u00a010\u00a0km2 area in R3 using a time series of Landsat-7/8 reflectance and LST data. The comparison between modelled and measured ET fluxes indicates that the model works well. The Root Mean Square Error (RMSE) values over drip and flood sites were 13 and 12\u00a0W\u00a0m\u22122, respectively. The proposed approach has a great potential for detecting crop water stress and estimating crop water requirements over large areas along the agricultural season.", "keywords": ["0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "Penman-30", "Penman-Monteith", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "630", "Crop water stress", "6. Clean water", "Surface temperature", "[SDE.ES] Environmental Sciences/Environment and Society", "Bulk surface resistance", "[SDE.ES]Environmental Sciences/Environment and Society", "Landsat"]}, "links": [{"href": "https://doi.org/2766086485"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biosystems%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2766086485", "name": "item", "description": "2766086485", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2766086485"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "2775310052", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:25:37Z", "type": "Journal Article", "created": "2017-12-01", "title": "Toward a Surface Soil Moisture Product at High Spatiotemporal Resolution: Temporally Interpolated, Spatially Disaggregated SMOS Data", "description": "AbstractHigh spatial and temporal resolution surface soil moisture is required for most hydrological and agricultural applications. The recently developed Disaggregation based on Physical and Theoretical Scale Change (DisPATCh) algorithm provides 1-km-resolution surface soil moisture by downscaling the 40-km Soil Moisture Ocean Salinity (SMOS) soil moisture using Moderate Resolution Imaging Spectroradiometer (MODIS) data. However, the temporal resolution of DisPATCh data is constrained by the temporal resolution of SMOS (a global coverage every 3 days) and further limited by gaps in MODIS images due to cloud cover. This paper proposes an approach to overcome these limitations based on the assimilation of the 1-km-resolution DisPATCh data into a simple dynamic soil model forced by (inaccurate) precipitation data. The performance of the approach was assessed using ground measurements of surface soil moisture in the Yanco area in Australia and the Tensift-Haouz region in Morocco during 2014. It was found that the analyzed daily 1-km-resolution surface soil moisture compared slightly better to in situ data for all sites than the original disaggregated soil moisture products. Over the entire year, assimilation increased the correlation coefficient between estimated soil moisture and ground measurements from 0.53 to 0.70, whereas the mean unbiased RMSE (ubRMSE) slightly decreased from 0.07 to 0.06 m3 m\uffe2\uff88\uff923 compared to the open-loop force\uffe2\uff80\uff93restore model. The proposed assimilation scheme has significant potential for large-scale applications over semiarid areas, since the method is based on data available at the global scale together with a parsimonious land surface model.