{"type": "FeatureCollection", "features": [{"id": "10.1111/j.1469-8137.2008.02643.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:20:56Z", "type": "Journal Article", "created": "2008-10-09", "title": "Precipitation Timing And Magnitude Differentially Affect Aboveground Annual Net Primary Productivity In Three Perennial Species In A Chihuahuan Desert Grassland", "description": "

DOI:10.1111/j.1469-8137.2008.02695.xCommentary p 5

", "keywords": ["0106 biological sciences", "aboveground annual net primary productivity (ANPP)", "desert grasslands", "Rain", "global climate change", "Chihuahuan desert", "Opuntia", "precipitation", "15. Life on land", "Poaceae", "Adaptation", " Physiological", "Texas", "01 natural sciences", "Soil", "XXXXXX - Unknown", "Liliaceae", "Biomass", "Desert Climate"]}, "links": [{"href": "https://doi.org/10.1111/j.1469-8137.2008.02643.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1469-8137.2008.02643.x", "name": "item", "description": "10.1111/j.1469-8137.2008.02643.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1469-8137.2008.02643.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-12-03T00:00:00Z"}}, {"id": "10.1111/nph.15123", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:05Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary

Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.

Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.

This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.

fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.

We present Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2), a gridded precipitation P dataset spanning 1979\uffe2\uff80\uff932017. MSWEP V2 is unique in several aspects: i) full global coverage (all land and oceans); ii) high spatial (0.1\uffc2\uffb0) and temporal (3 hourly) resolution; iii) optimal merging of P estimates based on gauges [WorldClim, Global Historical Climatology Network-Daily (GHCN-D), Global Summary of the Day (GSOD), Global Precipitation Climatology Centre (GPCC), and others], satellites [Climate Prediction Center morphing technique (CMORPH), Gridded Satellite (GridSat), Global Satellite Mapping of Precipitation (GSMaP), and Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42RT)], and reanalyses [European Centre for Medium-Range Weather Forecasts (ECMWF) interim reanalysis (ERA-Interim) and Japanese 55-year Reanalysis (JRA-55)]; iv) distributional bias corrections, mainly to improve the P frequency; v) correction of systematic terrestrial P biases using river discharge Q observations from 13,762 stations across the globe; vi) incorporation of daily observations from 76,747 gauges worldwide; and vii) correction for regional differences in gauge reporting times. MSWEP V2 compares substantially better with Stage IV gauge\uffe2\uff80\uff93radar P data than other state-of-the-art P datasets for the United States, demonstrating the effectiveness of the MSWEP V2 methodology. Global comparisons suggest that MSWEP V2 exhibits more realistic spatial patterns in mean, magnitude, and frequency. Long-term mean P estimates for the global, land, and ocean domains based on MSWEP V2 are 955, 781, and 1,025 mm yr\uffe2\uff88\uff921, respectively. Other P datasets consistently underestimate P amounts in mountainous regions. Using MSWEP V2, P was estimated to occur 15.5%, 12.3%, and 16.9% of the time on average for the global, land, and ocean domains, respectively. MSWEP V2 provides unique opportunities to explore spatiotemporal variations in P, improve our understanding of hydrological processes and their parameterization, and enhance hydrological model performance.

", "keywords": ["LAND", "SATELLITE-OBSERVATIONS", "EXTREME-PRECIPITATION", "GAUGE OBSERVATIONS", "TROPICAL RAINFALL", "PASSIVE MICROWAVE", "15. Life on land", "01 natural sciences", "6. Clean water", "MODEL", "ERA-INTERIM REANALYSIS", "DATA ASSIMILATION", "13. Climate action", "Earth and Environmental Sciences", "NETWORK", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://journals.ametsoc.org/downloadpdf/journals/bams/100/3/bams-d-17-0138.1.xml"}, {"href": "https://doi.org/10.1175/BAMS-D-17-0138.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20the%20American%20Meteorological%20Society", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1175/BAMS-D-17-0138.1", "name": "item", "description": "10.1175/BAMS-D-17-0138.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1175/BAMS-D-17-0138.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.3390/rs11080913", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:33Z", "type": "Journal Article", "created": "2019-04-15", "title": "Multispectral Contrast of Archaeological Features: A Quantitative Evaluation", "description": "

This study provides an evaluation of spectral responses of hollow ways in Upper Mesopotamia. Hollow ways were used for the transportation of animals, carts, and other moving agents for centuries. The aim is to show how the success of spectral indices varies in describing topologically simple features even in a seemingly homogeneous geographic unit. The variation is further highlighted under the changing precipitation regime. The methodology begins with an exploration of the relationship between the date of a multispectral scene and the visibility of hollow ways. The next step is to evaluate the impact of rainfall levels on numerous indices and to quantify spectral contrast. The contrast between a hollow way and its background is evaluated with Welch\uffe2\uff80\uff99s t-test and the association between precipitation regime and spectral responses of hollow ways are investigated with Correspondence Analysis and Fisher\uffe2\uff80\uff99s test. Results highlight an intrinsic relationship between the precipitation regime and the ways in which archaeological features reflects and/or emits electromagnetic energy. Next, the categorization of spectral indices based on different rainfall levels can be used as a guidance in future studies. Finally, the study suggests contrast becomes an even more fruitful concept as one moves from the spatial domain to the spectral domain.

", "keywords": ["Random Forests", "Lidar", "satellite remote sensing", "Science", "Q", "0211 other engineering and technologies", "Effectiveness of data fusion", "06 humanities and the arts", "02 engineering and technology", "Data fusion", "910", "15. Life on land", "archaeology of roads", "precipitation regime", "Imaging spectroscopy", "Precipitation regime", "spectral contrast", "Hollow ways", "Natura 2000 habitat", "13. Climate action", "Satellite remote sensing", "Upper Mesopotamia", "0601 history and archaeology", "Spectral contrast", "hollow ways"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/11/8/913/pdf"}, {"href": "https://iris.cnr.it/bitstream/20.500.14243/390208/1/prod_402195-doc_199283.pdf"}, {"href": "http://dro.dur.ac.uk/27994/1/27994.pdf"}, {"href": "http://dro.dur.ac.uk/27994/2/27994.pdf"}, {"href": "https://www.mdpi.com/2072-4292/11/8/913/pdf"}, {"href": "https://doi.org/10.3390/rs11080913"}, {"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/rs11080913", "name": "item", "description": "10.3390/rs11080913", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11080913"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-15T00:00:00Z"}}, {"id": "10.1890/10-2210.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:15Z", "type": "Journal Article", "created": "2011-07-26", "title": "Soil C And N Changes With Afforestation Of Grasslands Across Gradients Of Precipitation And Plantation Age", "description": "

Afforestation, the conversion of unforested lands to forests, is a tool for sequestering anthropogenic carbon dioxide into plant biomass. However, in addition to altering biomass, afforestation can have substantial effects on soil organic carbon (SOC) pools, some of which have much longer turnover times than plant biomass. An increasing body of evidence suggests that the effect of afforestation on SOC may depend on mean annual precipitation (MAP). The goal of this study was to test how labile and bulk pools of SOC and total soil nitrogen (TN) change with afforestation across a rainfall gradient of 600\uffe2\uff80\uff931500 mm in the Rio de la Plata grasslands of Argentina and Uruguay. The sites were all former grasslands planted withEucalyptusspp. Overall, we found that afforestation increased (up to 1012 kg C\uffc2\uffb7ha\uffe2\uff88\uff921\uffc2\uffb7yr\uffe2\uff88\uff921) or decreased (as much as 1294 kg C\uffc2\uffb7ha\uffe2\uff88\uff921\uffc2\uffb7yr\uffe2\uff88\uff921) SOC pools in this region and that these changes were significantly related to MAP. Drier sites gained, and wetter sites lost, SOC and TN (r2= 0.59,P= 0.003; andr2= 0.57,P= 0.004, respectively). Labile C and N in microbial biomass and extractable soil pools followed similar patterns to bulk SOC and TN. Interestingly, drier sites gained more SOC and TN as plantations aged, while losses reversed as plantations aged in wet sites, suggesting that plantation age in addition to precipitation is a critical driver of changes in soil organic matter with afforestation. This new evidence implies that longer intervals between harvests for plantations could improve SOC storage, ameliorating the negative trends found in humid sites. Our results suggest that the value of afforestation as a carbon sequestration tool should be considered in the context of precipitation and age of the forest stand.

", "keywords": ["Soil nitrogen", "Time Factors", "Terrestrial and Aquatic Ecology", "Nitrogen", "Rain", "soil nitrogen", "Argentina", "Precipitation", "precipitation", "Poaceae", "333", "Trees", "Soil", "afforestation", "https://purl.org/becyt/ford/1.6", "Afforestations", "https://purl.org/becyt/ford/1", "Biology", "Forest Sciences", "Ecosystem", "2. Zero hunger", "Soil organic carbon", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "soil organic carbon", "Uruguay", "0401 agriculture", " forestry", " and fisheries", "Eucalyptus plantation"]}, "links": [{"href": "https://doi.org/10.1890/10-2210.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1890/10-2210.1", "name": "item", "description": "10.1890/10-2210.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/10-2210.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-01T00:00:00Z"}}, {"id": "10.17221/817/2016-pse", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:07Z", "type": "Journal Article", "created": "2017-03-26", "title": "Organic Carbon Content And Its Liable Components In Paddy Soil Under Water-Saving Irrigation", "description": "Variation of soil organic carbon (SOC) and its liable fractions under non-flooding irrigation (NFI) were investigated. In NFI paddies, the soil microbial biomass carbon (SMBC) and water extractable organic carbon (SWEC) content in 0-40 cm soil increased by 1.73-21.74% and 1.44-30.63%, and SOC in NFI fields decreased by 0.90-18.14% than in flooding irrigation (FI) fields. As a result, the proportion of SMBC or SWEC to SOC increased remarkably. It is attributed to the different water and aeration conditions between FI and NFI irrigation. The non-flooding water-saving irrigation increased soil microbial activity and mineralization of SOC, which broke down more soil organic nutrients into soluble proportion and is beneficial for soil fertility, but might lead to more CO2 emission and degradation in carbon sequestration than FI paddies.", "keywords": ["soil carbon sequestration", "water management", "Plant culture", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "drying-wetting cycle", "precipitation", "soil respiration", "SB1-1110"], "contacts": [{"organization": "Wei Qi, Chen Suyan, Liao Qi, Yang Shihong, Xu JunZeng, Ma Yan, Liao Linxian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.17221/817/2016-pse"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Soil%20and%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17221/817/2016-pse", "name": "item", "description": "10.17221/817/2016-pse", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17221/817/2016-pse"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-31T00:00:00Z"}}, {"id": "10.1890/06-1187.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:13Z", "type": "Journal Article", "created": "2007-07-19", "title": "Soil Responses To Management, Increased Precipitation, And Added Nitrogen In Ponderosa Pine Forests", "description": "Forest management, climatic change, and atmospheric N deposition can affect soil biogeochemistry, but their combined effects are not well understood. We examined the effects of water and N amendments and forest thinning and burning on soil N pools and fluxes in ponderosa pine forests near Flagstaff, Arizona (USA). Using a 15N-depleted fertilizer, we also documented the distribution of added N into soil N pools. Because thinning and burning can increase soil water content and N availability, we hypothesized that these changes would alleviate water and N limitation of soil processes, causing smaller responses to added N and water in the restored stand. We found little support for this hypothesis. Responses of fine root biomass, potential net N mineralization, and the soil microbial N to water and N amendments were mostly unaffected by stand management. Most of the soil processes we examined were limited by N and water, and the increased N and soil water availability caused by forest restoration was insufficient to alleviate these limitations. For example, N addition caused a larger increase in potential net nitrification in the restored stand, and at a given level of soil N availability, N addition had a larger effect on soil microbial N in the restored stand. Possibly, forest restoration increased the availability of some other limiting resource, amplifying responses to added N and water. Tracer N recoveries in roots and in the forest floor were lower in the restored stand. Natural abundance delta15N of labile soil N pools were higher in the restored stand, consistent with a more open N cycle. We conclude that thinning and burning open up the N cycle, at least in the short-term, and that these changes are amplified by enhanced precipitation and N additions. Our results suggest that thinning and burning in ponderosa pine forests will not increase their resistance to changes in soil N dynamics resulting from increased atmospheric N deposition or increased precipitation due to climatic change. Restoration plans should consider the potential impact on long-term forest productivity of greater N losses from a more open N cycle, especially during the period immediately after thinning and burning.", "keywords": ["Time Factors", "Nitrogen", "Climate", "Arizona", "Water", "04 agricultural and veterinary sciences", "15. Life on land", "Fires", "Pinus ponderosa", "Soil", "13. Climate action", "Chemical Precipitation", "0401 agriculture", " forestry", " and fisheries", "Ecosystem", "Nitrites"]}, "links": [{"href": "https://doi.org/10.1890/06-1187.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1890/06-1187.1", "name": "item", "description": "10.1890/06-1187.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/06-1187.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-07-01T00:00:00Z"}}, {"id": "10.1890/08-0172.1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:14Z", "type": "Journal Article", "created": "2009-09-17", "title": "Effects Of Warming And Altered Precipitation On Plant And Nutrient Dynamics Of A New England Salt Marsh", "description": "

Salt marsh structure and function, and consequently ability to support a range of species and to provide ecosystem services, may be affected by climate change. To better understand how salt marshes will respond to warming and associated shifts in precipitation, we conducted a manipulative experiment in a tidal salt marsh in Massachusetts, USA. We exposed two plant communities (one dominated by Spartina patens\uffe2\uff80\uff93Distichlis spicata and one dominated by short form Spartina alterniflora) to five climate manipulations: warming via passive open\uffe2\uff80\uff90topped chambers, doubled precipitation, warming and doubled precipitation, extreme drought via rainout shelter, and ambient conditions. Modest daytime warming increased total aboveground biomass of the S. alterniflora community (24%), but not the S. patens\uffe2\uff80\uff93D. spicata community. Warming also increased maximum stem heights of S. alterniflora (8%), S. patens (8%), and D. spicata (15%). Decomposition was marginally accelerated by warming in the S. alterniflora community. Drought markedly increased total biomass of the S. alterniflora community (53%) and live S. patens (69%), perhaps by alleviating waterlogging of sediments. Decomposition was accelerated by increased precipitation and slowed by drought, particularly in the S. patens\uffe2\uff80\uff93D. spicata community. Flowering phenology responded minimally to the treatments, and pore water salinity, sulfide, ammonium, and phosphate concentrations showed no treatment effects in either plant community. Our results suggest that these salt marsh communities may be resilient to modest amounts of warming and large changes in precipitation. If production increases under climate change, marshes will have a greater ability to keep pace with sea\uffe2\uff80\uff90level rise, although an increase in decomposition could offset this. As long as marshes are not inundated by flooding due to sea\uffe2\uff80\uff90level rise, increases in aboveground biomass and stem heights suggest that marshes may continue to export carbon and nutrients to coastal waters and may be able to increase their carbon storage capability by increasing plant growth under future climate conditions.

", "keywords": ["Greenhouse Effect", "0106 biological sciences", "570", "Spartina patens", "Time Factors", "open-topped chamber", "Light", "Rain", "Plant Development", "Distichlis spicata", "Sodium Chloride", "01 natural sciences", "Spartina alterniflora", "Distichlis spicata;", "Spartina alterniflora;", "0105 earth and related environmental sciences", "2. Zero hunger", "decomposition", "Temperature", "Water", "nutrient cycling", "15. Life on land", "6. Clean water", "Circadian Rhythm", "salt marsh", "climate change", "Massachusetts", "13. Climate action", "Wetlands", "altered precipitation", "ecosystem services"]}, "links": [{"href": "https://doi.org/10.1890/08-0172.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1890/08-0172.1", "name": "item", "description": "10.1890/08-0172.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/08-0172.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-10-01T00:00:00Z"}}, {"id": "10.2136/sssaj2005.0413", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:41Z", "type": "Journal Article", "created": "2010-07-27", "description": "

Growing interest in the potential for agricultural soils to provide a sink for atmospheric C has prompted studies of effects of management on soil organic carbon (SOC) sequestration. We analyzed the impact on SOC of four N fertilization rates (0\uffe2\uff80\uff93270 kg N ha\uffe2\uff88\uff921) and four cropping systems: continuous corn (CC) (Zea mays L.); corn\uffe2\uff80\uff93soybean [Glycine max (L.) Merr.] (CS); corn\uffe2\uff80\uff93corn\uffe2\uff80\uff93oat\uffe2\uff80\uff93alfalfa (oat, Avena sativa L.; alfalfa, Medicago sativa L.) (CCOA), and corn\uffe2\uff80\uff93oat\uffe2\uff80\uff93alfalfa\uffe2\uff80\uff93alfalfa (COAA). Soils were sampled in 2002, Years 23 and 48 of the experiments located in northeast and north\uffe2\uff80\uff90central Iowa, respectively. The experiments were conducted using a replicated split\uffe2\uff80\uff90plot design under conventional tillage. A native prairie was sampled to provide a reference (for one site only). Cropping systems that contained alfalfa had the highest SOC stocks, whereas the CS system generally had the lowest SOC stocks. Concentrations of SOC increased significantly between 1990 and 2002 in only two of the nine systems for which historical data were available, the fertilized CC and COAA systems at one site. Soil quality indices such as particulate organic carbon (POC) were influenced by cropping system, with CS < CC < CCOA. In the native prairie, SOC, POC, and resistant C concentrations were 2.8, 2.6, and 3.9 times, respectively, the highest values in cropped soil, indicating that cultivated soils had not recovered to precultivation conditions. Although corn yields increased with N additions, N fertilization increased SOC stocks only in the CC system at one site. Considering the C cost for N fertilizer production, N fertilization generally had a net negative effect on C sequestration.

", "keywords": ["corn\u2013soybean MAP", "2. Zero hunger", "particulate organic carbon SIC", "soil organic carbon SOM", "soil organic matter TN", "corn\u2013corn\u2013oat\u2013alfalfa CE", "corn\u2013oat\u2013alfalfa\u2013alfalfa CS", "Natural Resources Management and Policy", "Carlo-Erba COAA", "Soil Science", "Walkley-Black", "soil inorganic carbon SOC", "04 agricultural and veterinary sciences", "15. Life on land", "CC", "630", "6. Clean water", "\u03c1b", "mean annual precipitation PMC", "total nitrogen WB", "Agronomy and Crop Sciences", "continuous corn CCOA", "0401 agriculture", " forestry", " and fisheries", "potential mineralization of carbon POC"]}, "links": [{"href": "https://doi.org/10.2136/sssaj2005.0413"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Science%20Society%20of%20America%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/sssaj2005.0413", "name": "item", "description": "10.2136/sssaj2005.0413", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/sssaj2005.0413"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-03-01T00:00:00Z"}}, {"id": "10.2166/wcc.2024.064", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:50Z", "type": "Journal Article", "created": "2024-09-20", "title": "Model-based analysis of the impact of climate change on hydrology in the Guayas River basin (Ecuador)", "description": "ABSTRACT

Worldwide climate change will most likely lead to drastic changes in hydrology and food production. In this study, the impact of climate change on the hydrological regime and the fate of pesticides in the Guayas River basin is investigated using the Soil and Water Assessment Tool. Four general circulation models and three representative concentration pathways (RCP 4.5, RCP 6.0 and RCP 8.5) for three future periods were used to assess impact of climate change. Future projections showed a maximum increase in the average monthly precipitation of 40% in June, as well as an increase in an average minimum temperature of 3.85\uffc2\uffb0C for July and an average maximum temperature of 4.5\uffc2\uffb0C for August in 2080s. The model simulations based on RCP 8.5 scenario predict an increase in potential evapotranspiration by 11%, surface runoff of 39% and water yield of 33% in 2080s. The pesticide simulation showed the highest water concentrations during the wet season. Projections of trends in pesticide concentration indicate a similar trend to the current situation given the application rate remains the same. The results can be beneficial for the management and planning of the basin to mitigate flood and water quality-related impacts of food production and climate change.

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.

", "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": "10.3389/fmicb.2013.00146", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:10Z", "type": "Journal Article", "created": "2013-06-11", "description": "The activities of extracellular enzymes, the proximate agents of decomposition in soils, are known to depend strongly on temperature, but less is known about how they respond to changes in precipitation patterns, and the interaction of these two components of climate change. Both enzyme production and turnover can be affected by changes in temperature and soil moisture, thus it is difficult to predict how enzyme pool size may respond to altered climate. Soils from the Boston-Area Climate Experiment (BACE), which is located in an old field (on abandoned farmland), were used to examine how climate variables affect enzyme activities and microbial biomass carbon (MBC) in different seasons and in soils exposed to a combination of three levels of precipitation treatments (ambient, 150% of ambient during growing season, and 50% of ambient year-round) and four levels of warming treatments (unwarmed to ~4\u00b0C above ambient) over the course of a year. Warming, precipitation and season had very little effect on potential enzyme activity. Most models assume that enzyme dynamics follow microbial biomass, because enzyme production should be directly controlled by the size and activity of microbial biomass. We observed differences among seasons and treatments in mass-specific potential enzyme activity, suggesting that this assumption is invalid. In June 2009, mass-specific potential enzyme activity, using chloroform fumigation-extraction MBC, increased with temperature, peaking under medium warming and then declining under the highest warming. This finding suggests that either enzyme production increased with temperature or turnover rates decreased. Increased maintenance costs associated with warming may have resulted in increased mass-specific enzyme activities due to increased nutrient demand. Our research suggests that allocation of resources to enzyme production could be affected by climate-induced changes in microbial efficiency and maintenance costs.", "keywords": ["2. Zero hunger", "570", "decomposition", "550", "microbial biomass", "Nitrogen", "carbon", "enzymes", "temperature", "04 agricultural and veterinary sciences", "precipitation", "15. Life on land", "Microbiology", "nitrogen", "Carbon", "QR1-502", "6. Clean water", "Enzymes", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2013.00146"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2013.00146", "name": "item", "description": "10.3389/fmicb.2013.00146", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2013.00146"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.3389/fmicb.2016.01032", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:10Z", "type": "Journal Article", "created": "2016-06-30", "title": "Effects Of Short-Term Warming And Altered Precipitation On Soil Microbial Communities In Alpine Grassland Of The Tibetan Plateau", "description": "Open AccessSoil microbial communities are influenced by climate change drivers such as warming and altered precipitation. These changes create abiotic stresses, including desiccation and nutrient limitation, which act on microbes. However, our understanding of the responses of microbial communities to co-occurring climate change drivers is limited. We surveyed soil bacterial and fungal diversity and composition after a 1-year warming and altered precipitation manipulation in the Tibetan plateau alpine grassland. In isolation, warming and decreased precipitation treatments each had no significant effects on soil bacterial community structure; however, in combination of both treatments altered bacterial community structure (p = 0.03). The main effect of altered precipitation specifically impacted the relative abundances of Bacteroidetes and Gammaproteobacteria compared to the control, while the main effect of warming impacted the relative abundance of Betaproteobacteria. In contrast, the fungal community had no significant response to the treatments after 1-year. Using structural equation modeling (SEM), we found bacterial community composition was positively related to soil moisture. Our results indicate that short-term climate change could cause changes in soil bacterial community through taxonomic shifts. Our work provides new insights into immediate soil microbial responses to short-term stressors acting on an ecosystem that is particularly sensitive to global climate change.", "keywords": ["Abiotic component", "Microbial population biology", "Climate Change", "Soil Science", "Precipitation", "soil microbial community structure", "Microbiology", "Mathematical analysis", "Environmental science", "Agricultural and Biological Sciences", "Meteorology", "11. Sustainability", "FOS: Mathematics", "Genetics", "Climate change", "alpine grassland", "Biology", "Ecosystem", "2. Zero hunger", "Plateau (mathematics)", "Ecology", "Geography", "Bacteria", "Global warming", "Marine Microbial Diversity and Biogeography", "Life Sciences", "Microbial Diversity in Antarctic Ecosystems", "15. Life on land", "Grassland", "Community structure", "climate change", "pyrosequencing", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "soil moisture", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Mathematics"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2016.01032"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2016.01032", "name": "item", "description": "10.3389/fmicb.2016.01032", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2016.01032"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-06-30T00:00:00Z"}}, {"id": "10.3390/foods9030322", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:24Z", "type": "Journal Article", "created": "2020-03-12", "title": "Comparison of Faba Bean Protein Ingredients Produced Using Dry Fractionation and Isoelectric Precipitation: Techno-Functional, Nutritional and Environmental Performance", "description": "

Dry fractionated faba bean protein-rich flour (FPR) produced by milling/air classification, and faba bean protein isolate (FPI) produced by acid extraction/isoelectric precipitation were compared in terms of composition, techno-functional properties, nutritional properties and environmental impacts. FPR had a lower protein content (64.1%, dry matter (DM)) compared to FPI (90.1%, DM), due to the inherent limitations of air classification. Of the two ingredients, FPR demonstrated superior functionality, including higher protein solubility (85%), compared to FPI (32%) at pH 7. Foaming capacity was higher for FPR, although foam stability was similar for both ingredients. FPR had greater gelling ability compared to FPI. The higher carbohydrate content of FPR may have contributed to this difference. An amino acid (AA) analysis revealed that both ingredients were low in sulfur-containing AAs, with FPR having a slightly higher level than FPI. The potential nutritional benefits of the aqueous process compared to the dry process used in this study were apparent in the higher in vitro protein digestibility (IVPD) and lower trypsin inhibitor activity (TIA) in FPI compared to FPR. Additionally, vicine/convicine were detected in FPR, but not in FPI. Furthermore, much lower levels of fermentable oligo-, di- and monosaccharides, and polyols (FODMAPs) were found in FPI compared to FPR. The life cycle assessment (LCA) revealed a lower environmental impact for FPR, partly due to the extra water and energy required for aqueous processing. However, in a comparison with cow\uffe2\uff80\uff99s milk protein, both FPR and FPI were shown to have considerably lower environmental impacts.

", "keywords": ["Isoelectric precipitation", "carbon footprint", "fodmaps", "TP1-1185", "faba bean", "Article", "Life cycle assessment", "0404 agricultural biotechnology", "life cycle assessment", "Faba bean", "isoelectric precipitation", "FODMAPs", "Nutrition", "Functional properties", "2. Zero hunger", "functional properties", "Protein", "Chemical technology", "dry fractionation", "04 agricultural and veterinary sciences", "Carbon footprint", "nutrition", "13. Climate action", "Dry fractionation", "antinutrients; carbon footprint; dry fractionation; Faba bean; FODMAPs; functional properties; isoelectric precipitation; life cycle assessment; nutrition; protein", "protein", "antinutrients", "0405 other agricultural sciences", "Antinutrients"]}, "links": [{"href": "http://www.mdpi.com/2304-8158/9/3/322/pdf"}, {"href": "https://iris.uniroma1.it/bitstream/11573/1661889/1/VogelsangO%e2%80%99Dwyer_Comparison-of-Faba_2022.pdf"}, {"href": "https://www.mdpi.com/2304-8158/9/3/322/pdf"}, {"href": "https://doi.org/10.3390/foods9030322"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Foods", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/foods9030322", "name": "item", "description": "10.3390/foods9030322", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/foods9030322"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-11T00:00:00Z"}}, {"id": "10.3390/geomatics1040024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:25Z", "type": "Journal Article", "created": "2021-10-29", "title": "Precipitation Data Retrieval and Quality Assurance from Different Data Sources for the Namoi Catchment in Australia", "description": "

Within the Horizon 2020 Project WaterSENSE a modular approach was developed to provide different stakeholders with the required precipitation information. An operational high-quality rainfall grid was set up for the Namoi catchment in Australia based on rain gauge adjusted radar data. Data availability and processing considerations make it necessary to explore alternative precipitation approaches. The gauge adjusted radar data will serve as a benchmark for the alternative precipitation data. The two well established satellite-based precipitation datasets IMERG and GSMaP will be analyzed with the temporal and spatial requirements of the applications envisioned in WaterSENSE in mind. While first results appear promising, these datasets will need further refinements to meet the criteria of WaterSENSE, especially with respect to the spatial resolution. Inferring information from soil moisture-derived from EO observations to increase the spatial detail of the existing satellite-based datasets is a promising approach that will be investigated along with other alternatives.

", "keywords": ["QE1-996.5", "0207 environmental engineering", "Geology", "02 engineering and technology", "15. Life on land", "01 natural sciences", "precipitation measurement", "6. Clean water", "13. Climate action", "GSMaP", "soil moisture", "IMERG", "radar", "GPM", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Strehz, Alexander, Einfalt, Thomas,", "roles": ["creator"]}]}, "links": [{"href": "https://www.mdpi.com/2673-7418/1/4/24/pdf"}, {"href": "https://doi.org/10.3390/geomatics1040024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geomatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/geomatics1040024", "name": "item", "description": "10.3390/geomatics1040024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/geomatics1040024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-28T00:00:00Z"}}, {"id": "10.3390/ijms222313161", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:26Z", "type": "Journal Article", "created": "2021-12-07", "title": "Oxidation of Various Kraft Lignins with a Bacterial Laccase Enzyme", "description": "

Modification of kraft lignin (KL), traditionally uses harsh and energy-demanding physical and chemical processes. In this study, the potential of the bacterial laccase CotA (spore coating protein A) for oxidation of KL under mild conditions was assessed. Thereby, the efficiency of CotA to oxidize both softwood and hardwood KL of varying purity at alkaline conditions was examined. For the respective type of wood, the highest oxidation activity by CotA was determined for the medium ash content softwood KL (MA_S) and the medium ash content hardwood KL (MA_H), respectively. By an up to 95% decrease in fluorescence and up to 65% in phenol content coupling of the structural lignin units was indicated. These results correlated with an increase in viscosity and molecular weight, which increased nearly 2 and 20-fold for MA_H and about 1.3 and 6.0-fold for MA_S, respectively. Thus, this study confirms that the CotA laccase can oxidize a variety of KL at alkaline conditions, while the origin and purity of KL were found to have a major impact on the efficiency of oxidation. Under the herein tested conditions, it was observed that the MA_H KL showed the highest susceptibility to CotA oxidation when compared to the other hardwood KLs and the softwood KLs. Therefore, this could be a viable method to produce sustainable resins and adhesives.

", "keywords": ["Molecular Weight", "0106 biological sciences", "0301 basic medicine", "03 medical and health sciences", "Bacteria", "Bacterial Proteins", "kraft lignin; lignosulfonate; CotA; laccase; oxidation; purity; isolation; precipitation", "Laccase", "Lignin", "Oxidation-Reduction", "01 natural sciences", "Article"]}, "links": [{"href": "http://www.mdpi.com/1422-0067/22/23/13161/pdf"}, {"href": "https://www.mdpi.com/1422-0067/22/23/13161/pdf"}, {"href": "https://doi.org/10.3390/ijms222313161"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Molecular%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijms222313161", "name": "item", "description": "10.3390/ijms222313161", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijms222313161"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-06T00:00:00Z"}}, {"id": "10.3390/rs11212557", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:33Z", "type": "Journal Article", "created": "2019-10-31", "title": "Correcting Position Error in Precipitation Data Using Image Morphing", "description": "

Rainfall estimates based on satellite data are subject to errors in the position of the rainfall events in addition to errors in their intensity. This is especially true for localized rainfall events such as the convective rainstorms that occur during the monsoon season in sub-Saharan Africa. Many satellite-based estimates use gauge information for bias correction. However, bias adjustment methods do not correct the position errors explicitly. We propose to gauge-adjust satellite-based estimates with respect to the position using a morphing method. Image morphing transforms an image, in our case a rainfall field, into another one, by applying a spatial transformation. A benefit of this approach is that it can take both the position and the intensity of a rain event into account. Its potential is investigated with two case studies. In the first case, the rain events are synthetic, represented by elliptic shapes, while the second case uses real data from a rainfall event occurring during the monsoon season in southern Ghana. In the second case, the satellite-based estimate IMERG-Late (Integrated Multi-Satellite Retrievals for GPM ) is adjusted to gauge data from the Trans-African Hydro-Meteorological Observatory (TAHMO) network. The results show that the position errors can be corrected, while preserving the higher spatial variability of the satellite-based estimate.

", "keywords": ["Morphing", "Satellite-based precipitation", "550", "Gauge data", "imerg", "Science", "Q", "tahmo", "Precipitation estimation", "morphing", "satellite-based precipitation", "01 natural sciences", "field displacement", "13. Climate action", "gauge data", "TAHMO", "IMERG", "precipitation estimation", "Field displacement", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/11/21/2557/pdf"}, {"href": "https://www.mdpi.com/2072-4292/11/21/2557/pdf"}, {"href": "https://doi.org/10.3390/rs11212557"}, {"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/rs11212557", "name": "item", "description": "10.3390/rs11212557", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11212557"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-31T00:00:00Z"}}, {"id": "10.3390/rs13234893", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:35Z", "type": "Journal Article", "created": "2021-12-06", "title": "In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model", "description": "

The inherent biases of different long-term gridded surface soil moisture (SSM) products, unconstrained by the in situ observations, implies different spatio-temporal patterns. In this study, the Random Forest (RF) model was trained to predict SSM from relevant land surface feature variables (i.e., land surface temperature, vegetation indices, soil texture, and geographical information) and precipitation, based on the in situ soil moisture data of the International Soil Moisture Network (ISMN.). The results of the RF model show an RMSE of 0.05 m3 m\u22123 and a correlation coefficient of 0.9. The calculated impurity-based feature importance indicates that the Antecedent Precipitation Index affects most of the predicted soil moisture. The geographical coordinates also significantly influence the prediction (i.e., RMSE was reduced to 0.03 m3 m\u22123 after considering geographical coordinates), followed by land surface temperature, vegetation indices, and soil texture. The spatio-temporal pattern of RF predicted SSM was compared with the European Space Agency Climate Change Initiative (ESA-CCI) soil moisture product, using both time-longitude and latitude diagrams. The results indicate that the RF SSM captures the spatial distribution and the daily, seasonal, and annual variabilities globally.

", "keywords": ["feature importance", "Science", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "antecedent precipitation index", "SDG 13 - Climate Action", "Global scale", "Antecedent precipitation index; Feature importance; Global scale; In situ constrained; Random forest; Soil moisture", "soil moisture; random forest; global scale; in situ constrained; feature importance; antecedent precipitation index", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "Antecedent precipitation index", "Q", "In situ constrained", "15. Life on land", "Feature importance", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Soil moisture", "soil moisture", "ITC-GOLD", "in situ constrained", "random forest", "Random forest"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/938135/1/2021_Ljie_Zeng_et_al_remotesensing.pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://doi.org/10.3390/rs13234893"}, {"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/rs13234893", "name": "item", "description": "10.3390/rs13234893", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13234893"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-02T00:00:00Z"}}, {"id": "10.5061/dryad.s4mw6m9bc", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:11Z", "type": "Dataset", "title": "Divergent responses of grassland productivity and plant diversity to intra-annual precipitation variability across climate regions: A global synthesis", "description": "Global warming intensifies the hydrological cycle and may result in changes in the frequency and intensity of precipitation events. Although the effects of changes in precipitation amount and inter-annual precipitation variability on terrestrial plant productivity and carbon sequestration have been well studied, how intra-annual precipitation variability affects terrestrial ecosystem function remains unclear. Here, we synthesized field manipulative experiments from 71 publications to quantify the effects of intra-annual precipitation variability increases (IPVI) on community biomass and plant diversity in grasslands worldwide. \u00a0At the global scale, we found that IPVI generally increased grassland community aboveground biomass (AGB) by 6%, and decreased grass biomass and soil ammonium nitrogen by 12% and 31%, respectively. IPVI stimulated AGB, belowground biomass, and plant species richness in arid regions, but not changed them in humid regions. Changes in AGB under IPVI were related to changes in the biomass of plant functional groups, species richness, and soil moisture. Structural equation modelling demonstrated that that climate conditions (mean annual temperature and mean annual precipitation) and background soil properties (soil sand content and soil organic carbon content) jointly regulated grassland AGB responses to IPVI across climate types. Synthesis: Overall, our study shows that grassland productivity and diversity may increase under IPVI in arid climates, and that humid grasslands may be highly resistant to the effects of IPVI. These findings have important implications for understanding ecosystem carbon cycling under global precipitation change scenarios.", "keywords": ["2. Zero hunger", "meta-analysis", "13. Climate action", "soil properties", "intra-annual precipitation variability increase", "15. Life on land", "grassland", "species richness", "aboveground biomass", "Soil water availability", "FOS: Natural sciences"], "contacts": [{"organization": "Su, Jishuai, Zhang, Yi, Xu, Fengwei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.s4mw6m9bc"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.s4mw6m9bc", "name": "item", "description": "10.5061/dryad.s4mw6m9bc", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.s4mw6m9bc"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-16T00:00:00Z"}}, {"id": "10.5194/hess-19-4201-2015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:34Z", "type": "Journal Article", "created": "2015-10-20", "title": "Multidecadal Change In Streamflow Associated With Anthropogenic Disturbances In The Tropical Andes", "description": "

Abstract. Andean headwater catchments are an important source of freshwater for downstream water users. However, few long-term studies exist on the relative importance of climate change and direct anthropogenic perturbations on flow regimes in these catchments. In this paper, we assess change in streamflow based on long time series of hydrometeorological data (1974\uffe2\uff80\uff932008) and land cover reconstructions (1963\uffe2\uff80\uff932009) in the Pangor catchment (282 km2) located in the tropical Andes. Three main land cover change trajectories can be distinguished during the period 1963\uffe2\uff80\uff932009: (1) expansion of agricultural land by an area equal to 14 % of the catchment area (or 39 km2) in 46 years' time, (2) deforestation of native forests by 11 % (or \uffe2\uff88\uff9231 km2) corresponding to a mean rate of 67 ha yr\uffe2\uff88\uff921, and (3) afforestation with exotic species in recent years by about 5 % (or 15 km2). Over the time period 1963\uffe2\uff80\uff932009, about 50 % of the 64 km2 of native forests was cleared and converted to agricultural land. Given the strong temporal variability of precipitation and streamflow data related to El Ni\uffc3\uffb1o\uffe2\uff80\uff93Southern Oscillation, we use empirical mode decomposition techniques to detrend the time series. The long-term increasing trend in rainfall is remarkably different from the observed changes in streamflow, which exhibit a decreasing trend. Hence, observed changes in streamflow are not the result of long-term change in precipitation but very likely result from anthropogenic disturbances associated with land cover change.

", "keywords": ["Technology", "Period (music)", "0208 environmental biotechnology", "Urban Flooding", "Precipitation", "02 engineering and technology", "Oceanography", "Environmental technology. Sanitary engineering", "land-use change", "Geography. Anthropology. Recreation", "Climate change", "GE1-350", "TD1-1066", "Water Science and Technology", "Climatology", "2. Zero hunger", "Global and Planetary Change", "Geography", "Ecology", "T", "Physics", "Hydrology (agriculture)", "Geology", "Programming language", "Hydrological Modeling and Water Resource Management", "Physical Sciences", "Cartography", "Land cover", "1443", "Hydrometeorology", "Drainage basin", "0207 environmental engineering", "Streamflow", "Environmental science", "G", "Global Flood Risk Assessment and Management", "Meteorology", "Afforestation", "Agroforestry", "Biology", "Land use", " land-use change and forestry", "FOS: Earth and related environmental sciences", "Acoustics", "15. Life on land", "Computer science", "Environmental sciences", "Geotechnical engineering", "Deforestation (computer science)", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Global Drought Monitoring and Assessment", "Land use"]}, "links": [{"href": "https://doi.org/10.5194/hess-19-4201-2015"}, {"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-19-4201-2015", "name": "item", "description": "10.5194/hess-19-4201-2015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-19-4201-2015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-20T00:00:00Z"}}, {"id": "10.5194/essd-12-753-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:29Z", "type": "Journal Article", "created": "2019-10-07", "title": "A pan-African high-resolution drought index dataset", "description": "

Abstract. Droughts in Africa cause severe problems such as crop failure, food shortages, famine, epidemics and even mass migration. To minimize the effects of drought on water and food security over Africa, a high-resolution drought dataset is essential to establish robust drought hazard probabilities and to assess drought vulnerability considering a multi- and cross-sectorial perspective that includes crops, hydrological systems, rangeland, and environmental systems. Such assessments are essential for policy makers, their advisors, and other stakeholders to respond to the pressing humanitarian issues caused by these environmental hazards. In this study, a high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset is presented to support these assessments. We compute historical SPEI data based on Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) precipitation estimates and Global Land Evaporation Amsterdam Model (GLEAM) potential evaporation estimates. The high resolution SPEI dataset (SPEI-HR) presented here spans from 1981 to 2016 (36 years) with 5\uffe2\uff80\uff89km spatial resolution over the whole Africa. To facilitate the diagnosis of droughts of different durations, accumulation periods from 1 to 48 months are provided. The quality of the resulting dataset was compared with coarse-resolution SPEI based on Climatic Research Unit (CRU) Time-Series (TS) datasets, and Normalized Difference Vegetation Index (NDVI) calculated from the Global Inventory Monitoring and Modeling System (GIMMS) project, as well as with root zone soil moisture modelled by GLEAM. Agreement found between coarse resolution SPEI from CRU TS (SPEI-CRU) and the developed SPEI-HR provides confidence in the estimation of temporal and spatial variability of droughts in Africa with SPEI-HR. In addition, agreement of SPEI-HR versus NDVI and root zone soil moisture \uffe2\uff80\uff93 with average correlation coefficient (R) of 0.54 and 0.77, respectively \uffe2\uff80\uff93 further implies that SPEI-HR can provide valuable information to study drought-related processes and societal impacts at sub-basin and district scales in Africa. The dataset is archived in Centre for Environmental Data Analysis (CEDA) with link: https://doi.org/10.5285/bbdfd09a04304158b366777eba0d2aeb (Peng et al., 2019a)

", "keywords": ["CALIFORNIA DROUGHT", "IMPACTS", "2. Zero hunger", "QE1-996.5", "EVAPOTRANSPIRATION", "GLOBAL ASSESSMENT", "WATER-RESOURCES", "DATA PRODUCTS", "0207 environmental engineering", "1. No poverty", "Geology", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "Environmental sciences", "PRECIPITATION CLIMATOLOGY CENTER", "DATA SETS", "13. Climate action", "Earth and Environmental Sciences", "GREATER HORN", "11. Sustainability", "GE1-350", "SATELLITE", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://essd.copernicus.org/articles/12/753/2020/essd-12-753-2020.pdf"}, {"href": "https://doi.org/10.5194/essd-12-753-2020"}, {"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-12-753-2020", "name": "item", "description": "10.5194/essd-12-753-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-12-753-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-07T00:00:00Z"}}, {"id": "10.5194/gmd-12-2139-2019", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:32Z", "type": "Journal Article", "created": "2019-05-29", "title": "Atmospheric boundary layer dynamics from balloon soundings worldwide: CLASS4GL v1.0", "description": "

Abstract. The coupling between soil, vegetation and atmosphere is thought to be crucial in the development and intensification of weather extremes, especially meteorological droughts, heat waves and severe storms. Therefore, understanding the evolution of the atmospheric boundary layer (ABL) and the role of land\uffe2\uff80\uff93atmosphere feedbacks is necessary for earlier warnings, better climate projection and timely societal adaptation. However, this understanding is hampered by the difficulties of attributing cause\uffe2\uff80\uff93effect relationships from complex coupled models and the irregular space\uffe2\uff80\uff93time distribution of in situ observations of the land\uffe2\uff80\uff93atmosphere system. As such, there is a need for simple deterministic appraisals that systematically discriminate land\uffe2\uff80\uff93atmosphere interactions from observed weather phenomena over large domains and climatological time spans. Here, we present a new interactive data platform to study the behavior of the ABL and land\uffe2\uff80\uff93atmosphere interactions based on worldwide weather balloon soundings and an ABL model. This software tool \uffe2\uff80\uff93 referred to as CLASS4GL (http://class4gl.eu, last access: 27\uffc2\uffa0May\uffc2\uffa02018) \uffe2\uff80\uff93 is developed with the objectives of (a)\uffc2\uffa0mining appropriate global observational data from \uffe2\uff88\uffbc15\uffc2\uffa0million weather balloon soundings since 1981 and combining them with satellite and reanalysis data and (b)\uffc2\uffa0constraining and initializing a numerical model of the daytime evolution of the ABL that serves as a tool to interpret these observations mechanistically and deterministically. As a result, it fully automizes extensive global model experiments to assess the effects of land and atmospheric conditions on the ABL evolution as observed in different climate regions around the world. The suitability of the set of observations, model formulations and global parameters employed by CLASS4GL is extensively validated. In most cases, the framework is able to realistically reproduce the observed daytime response of the mixed-layer height, potential temperature and specific humidity from the balloon soundings. In this extensive global validation exercise, a bias of 10.1\uffe2\uff80\uff89m\uffe2\uff80\uff89h\uffe2\uff88\uff921, \uffe2\uff88\uff920.036\uffe2\uff80\uff89K\uffe2\uff80\uff89h\uffe2\uff88\uff921 and 0.06\uffe2\uff80\uff89g\uffe2\uff80\uff89kg\uffe2\uff88\uff921\uffe2\uff80\uff89h\uffe2\uff88\uff921 is found for the morning-to-afternoon evolution of the mixed-layer height, potential temperature and specific humidity. The virtual tool is in continuous development and aims to foster a better process understanding of the drivers of the ABL evolution and their global distribution, particularly during the onset and amplification of weather extremes. Finally, it can also be used to scrutinize the representation of land\uffe2\uff80\uff93atmosphere feedbacks and ABL dynamics in Earth system models, numerical weather prediction models, atmospheric reanalysis and satellite retrievals, with the ultimate goal of improving local climate projections, providing earlier warning of extreme weather and fostering a more effective development of climate adaptation strategies. The tool can be easily downloaded via http://class4gl.eu (last access: 27\uffc2\uffa0May\uffc2\uffa02018) and is open source.

", "keywords": ["PARAMETRIZATION", "LAND", "PARAMETERIZATION", "QE1-996.5", "COUPLING EXPERIMENT", "Geology", "15. Life on land", "FOREST", "01 natural sciences", "PART I", "13. Climate action", "Earth and Environmental Sciences", "SURFACE EVAPORATION", "PRECIPITATION", "Life Science", "TEMPERATURE", "DROUGHT", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/12/2139/2019/gmd-12-2139-2019.pdf"}, {"href": "https://doi.org/10.5194/gmd-12-2139-2019"}, {"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-12-2139-2019", "name": "item", "description": "10.5194/gmd-12-2139-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-12-2139-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-06T00:00:00Z"}}, {"id": "10.5194/gmd-15-1875-2022", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:33Z", "type": "Journal Article", "created": "2022-03-07", "title": "A unified framework to estimate the origins of atmospheric moistureand heat using Lagrangian models", "description": "

Abstract. Despite the existing myriad of tools and models to assess atmospheric source\uffe2\uff80\uff93receptor relationships, their uncertainties remain largely unexplored and arguably stem from the scarcity of observations available for validation. Yet, Lagrangian models are increasingly used to determine the origin of precipitation and atmospheric heat by scrutinizing the changes in moisture and temperature along air parcel trajectories. Here, we present a unified framework for the process-based evaluation of atmospheric trajectories to infer source\uffe2\uff80\uff93receptor relationships of both moisture and heat. The framework comprises three steps: (i)\uffc2\uffa0diagnosing precipitation, surface evaporation, and sensible heat from the Lagrangian simulations and identifying the accuracy and reliability of flux detection criteria; (ii)\uffc2\uffa0establishing source\uffe2\uff80\uff93receptor relationships through the attribution of sources along multi-day backward trajectories; and (iii)\uffc2\uffa0performing a bias correction of source\uffe2\uff80\uff93receptor relationships. Applying this framework to simulations from the Lagrangian model FLEXPART, driven with ERA-Interim reanalysis data, allows us to quantify the errors and uncertainties associated with the resulting source\uffe2\uff80\uff93receptor relationships for three cities in different climates (Beijing, Denver, and Windhoek). Our results reveal large uncertainties inherent in the estimation of heat and precipitation origin with Lagrangian models, but they also demonstrate that a source and sink bias correction acts to reduce this uncertainty. The proposed framework paves the way for a cohesive assessment of the dependencies in source\uffe2\uff80\uff93receptor relationships.

", "keywords": ["QE1-996.5", "0207 environmental engineering", "ERA-INTERIM", "Geology", "02 engineering and technology", "HYDROLOGICAL CYCLE", "DIAGNOSTICS", "01 natural sciences", "VALIDATION", "EVOLUTION", "VARIABILITY", "REANALYSIS", "WATER-VAPOR", "13. Climate action", "Earth and Environmental Sciences", "PRECIPITATION", "RAINFALL", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/15/1875/2022/gmd-15-1875-2022.pdf"}, {"href": "https://doi.org/10.5194/gmd-15-1875-2022"}, {"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-15-1875-2022", "name": "item", "description": "10.5194/gmd-15-1875-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-15-1875-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-07T00:00:00Z"}}, {"id": "10.5281/zenodo.10624293", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:44Z", "type": "Dataset", "title": "Database of soil vulnerability to natural forest disturbances", "description": "The data in this repository relate to evidence synthesis projects which aim to assess the impacts of different natural disturbances, such as fire and precipitation changes on forest soils. This work was carried out as part of the Holisoils project funded by EU Horizon 2020 program (EU Horizon 2020 Grant Agreement No 101000289).", "keywords": ["forest", "precipitation reductions", "windthrow", "precipitation increases", "natural disturbances", "soil biodiversity", "drought", "precipitation change", "insect pest", "fire"], "contacts": [{"organization": "Martin, Philip", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10624293"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10624293", "name": "item", "description": "10.5281/zenodo.10624293", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10624293"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-06T00:00:00Z"}}, {"id": "10.5281/zenodo.14773242", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:25:40Z", "type": "Dataset", "title": "Covariate datasets used to predict soil property distribution in EJP Soil mapping", "description": "These datasets were prepared within the scope of the EJP SOIL programme. The datasets are extracted from different sources, clipped and reprojected to EPSG:3035. The sources are listed in the table below. The datasets were used as environmental layers to prodict soil property distribution (soil maps) at National and continental level within the EJP SOIL programme.\u00a0 Dataset sources: Copernicus Climate Data Store https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land-monthly-means?tab=overview RESOLVE Biodiversity and Wildlife Solutions https://ecoregions2017.appspot.com/ Copernicus Land Monitoring Service https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/ European Union/ESA/Copernicus https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/ GLiM - Global Lithological Map https://www.geo.uni-hamburg.de/en/geologie/forschung/aquatische-geochemie/glim.html", "keywords": ["Europe", "Soil sciences", "Land cover", "Lithology", "Altitude", "Solar radiation", "Temperature", "Atmospheric precipitation", "Surface runoff"], "contacts": [{"organization": "Poggio, Laura", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14773242"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14773242", "name": "item", "description": "10.5281/zenodo.14773242", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14773242"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-30T00:00:00Z"}}, {"id": "10.5281/zenodo.15396375", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-26T16:25:59Z", "type": "Dataset", "title": "Lateral Carbon and Water Chemistry Data from a Small Arctic Coastal Catchment near Churchill, Manitoba, Late Summer 2022", "description": "This dataset accompanies the study 'Lateral carbon flow in an Arctic coastal catchment in late summer.' It includes water chemistry and hydrological data collected in a small coastal catchment near Churchill, Manitoba, Canada (~10 km inland from Hudson Bay). The study focused on surface water and soil pore water sampling between August 12 and September 5, 2022. Parameters measured include pH, dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), particulate organic carbon (POC), SUVA254, spectral slope ratio (SR), stable carbon isotopes (\u03b4\u00b9\u00b3C-DIC, \u03b4\u00b9\u00b3C-DOC), specific conductivity, temperature, dissolved CO\u2082, and CH\u2084. The dataset also includes site coordinates and discharge measurements. The study aimed to assess the influence of a late summer rainfall event on lateral carbon fluxes across different landscape types (headwater peatland and coastal sandy heathland).", "keywords": ["Fresh Water/chemistry", "lateral carbon export", "Arctic catchment", "Precipitation event", "Churchill", "arctic carbon cycling", "arctic hydrology", "Hudson Bay Lowlands", "dissolved inorganic carbon", "dissolved organic carbon"], "contacts": [{"organization": "Martyn Rosco, Melanie, Hensgens, Geert, Weedon, James, Dean, Joshua,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15396375"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15396375", "name": "item", "description": "10.5281/zenodo.15396375", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15396375"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-15T00:00:00Z"}}, {"id": "10.5281/zenodo.3555120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:26:28Z", "type": "Dataset", "title": "Soil properties and crop yield in fruit orchards under Mediterranean conditions in terms of intercropping, tillage and fertilizer type", "description": "This data set contains a data-mining performed to assess the impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions by a further meta-analysis of the data. These data correspond to the open-access article 'The impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions: A meta-analysis of field studies' published in Agricultural Systems. (https://doi.org/10.1016/j.agsy.2019.102736), funded by he European Commission Horizon 2020 project Diverfarming [grant agreement 728003]. Ra\ufffd\ufffdl Zornoza acknowledges the financial support from the Spanish Ministry of Science, Innovation and Universities through the \ufffd\ufffd\ufffdRam\ufffd\ufffdn y Cajal\ufffd\ufffd\ufffd Program [RYC-2015-18758]..", "keywords": ["2. Zero hunger", "alley cropping", "Soil nitrogen", "Soil phosphorus", "Soil organic carbon", "temperature", "Olive", "15. Life on land", "Mediterranean", "crop yield", "precipitation", "fertilizer", "almond", "citrus", "orchard", "vineyards", "crop diversification", "tillage", "cover crops", "intercropping"], "contacts": [{"organization": "Morugan-Coronado, Alicia, Linares, Carlos, Zornoza, Ra\ufffd\ufffdl,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3555120"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3555120", "name": "item", "description": "10.5281/zenodo.3555120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3555120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-27T00:00:00Z"}}, {"id": "10.5281/zenodo.7025493", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:26:48Z", "type": "Dataset", "title": "Data and code from \"Water availability is a stronger driver of soil microbial processing of organic nitrogen than tree species composition\"", "description": "#### Data description
Data from large scale, long-term tree diversity experiment in southwestern France (ORPHEE), additionally manipulating water contraint. Variables presented are soil nitrogen cycling rates measured using isotope pool dilutions. Companion paper is found here: Maxwell TL, Augusto L, Tian Y, Wanek W & Fanin N (2023). Water availability is a stronger driver of soil microbial processing of organic nitrogen than tree species composition. European Journal of Soil Science. https://doi.org/10.1111/ejss.13350 #### Metadata
Soil sampling: July 2020
Maxwell_ShortComm_Data.csv data description ID: unique identifier per sample
Block: numbered 1-6. Blocks 1,3,6 are control (unirrigated), Blocks, 2,4,5 are irrigated
Plot: numbered plot according to the ORPHEE design. Plot 1 = BP, Plot 5 = PP, Plot 9 = BP_PP
Espece: species ID. BP = pure birch (Betula pendula), PP = pure pine (Pinus pinaster), BP_PP (50% mixed birch-pine)
Rep: sample replicate, 3 replicates per plot
Sample name: long unique identifier per sample. Concatenation of Block, Plot, and Espece
PD: gross protein depolymerization rates (micrograms nitrogen per grams dry soil per day = \u00b5g N g-1 d-1)
AAU: gross free amino acid uptake rates (\u00b5g N g-1 d-1)
Cmicrobial_ug_g: microbial biomass carbon (\u00b5g C g-1)
Nmicrobial_ug_g: microbial biomass nitrogen (\u00b5g N g-1)
MRT_FAA_hrs: mean residence time of free amino acids (hours)
FAA_ugN_g: free amino acids (\u00b5g N g-1)
Moisture_percent: soil moisture percent (%)
N_nonfumige_ug_g: nitrogen from non fumigated soils, i.e. extractable N (\u00b5g N g-1)
C_nonfumige_ug_g: nitrogen from non fumigated soils, i.e. extractableC (\u00b5g C g-1)", "keywords": ["2. Zero hunger", "TreeDivNet", "microbial biomass", "protein depolymerization", "amino acid uptake", "15. Life on land", "precipitation", "6. Clean water", "biodiversity"], "contacts": [{"organization": "Maxwell, Tania L., Augusto, Laurent, Tian, Ye, Wanek, Wolfgang, Fanin, Nicolas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7025493"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7025493", "name": "item", "description": "10.5281/zenodo.7025493", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7025493"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-10T00:00:00Z"}}, {"id": "10.5281/zenodo.8147623", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:03Z", "type": "Dataset", "title": "EJPSOIL CarboSeq agrometeorological datasets", "description": "Open AccessAbstract The gridded dataset includes the monthly time series of\u00a0the precipitation, temperature and reference evapotranspiration variables derived from AgERA5 daily and AgERA5_ET0 monthly data, with a spatial resolution of 10 kilometers, covering the area interested by the project, for the period\u00a01979-2022. Data is provided as .tif files with their corresponding .rts files (SpatRasterTS object in R). Attached content The following ZIP archives containing the spatial raster time series are provided: ag5_2m_temperature_rts_monthly_19792022_EPSG3035.zip ag5_precipitation_flux_rts_monthly_19792022_EPSG3035.zip ag5_et0_rts_monthly_19792022_EPSG3035.zip In addition a document with a short description of data processing is provided.", "keywords": ["http://vocab.nerc.ac.uk/standard_name/precipitation_amount/", "http://vocab.nerc.ac.uk/standard_name/air_temperature/", "evapotranspiration", "15. Life on land", "https://www.eea.europa.eu/data-and-maps/indicators/water-retention-3/allen-et-al-1998", "climate", "AgERA5", "agriculture"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8147623"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8147623", "name": "item", "description": "10.5281/zenodo.8147623", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8147623"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-15T00:00:00Z"}}, {"id": "10.5281/zenodo.8399180", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:06Z", "type": "Dataset", "title": "EJPSOIL CarboSeq agrometeorological datasets", "description": "Open AccessAbstract The gridded dataset includes the monthly time series of\u00a0the precipitation, temperature and reference evapotranspiration variables derived from AgERA5 daily and AgERA5_ET0 monthly data, with a spatial resolution of 10 kilometers, covering the area interested by the project, for the period\u00a01979-2022. Data is provided as .tif files with their corresponding .rts files (SpatRasterTS object in R). Attached content The following ZIP archives containing the spatial raster time series are provided: ag5_2m_temperature_rts_monthly_19792022_EPSG3035.zip ag5_precipitation_flux_rts_monthly_19792022_EPSG3035.zip ag5_et0_rts_monthly_19792022_EPSG3035.zip In addition a document with a short description of data processing is provided.", "keywords": ["http://vocab.nerc.ac.uk/standard_name/precipitation_amount/", "http://vocab.nerc.ac.uk/standard_name/air_temperature/", "evapotranspiration", "15. Life on land", "https://www.eea.europa.eu/data-and-maps/indicators/water-retention-3/allen-et-al-1998", "climate", "AgERA5", "agriculture"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8399180"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8399180", "name": "item", "description": "10.5281/zenodo.8399180", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8399180"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-15T00:00:00Z"}}, {"id": "10044/1/59029", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:03Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary

Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.

Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.

This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.

fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.

Understanding the mechanisms that underlie species assembly is a central concern in community ecology. Abiotic and biotic filters are probabilistic \uffe2\uff80\uff98sieves\uffe2\uff80\uff99 that allow species with certain functional traits to become a part of the community, or not. We manipulated natural plant assemblies in order to identify variations in the timings of biotic and abiotic filters that determine community trait assemblies.

We extracted soil portions when the investigated annual plant community was in its seed phase (\uffe2\uff80\uff98community monolith\uffe2\uff80\uff99), thereby maintaining the structure and similar soil characteristics to the field conditions. Community monoliths were subjected to experimental manipulation in terms of the rainfall timing and amount, and perturbations of the biological soil crust (BSC; intact vs. perturbed). We surveyed the experimental community assembly over time based on the functional diversity by considering important functional traits in different life stages.

We found that autumn droughts acted as abiotic filters by favouring the germination and establishment of species with greater investment in the root biomass. Under severe droughts (66% water reduction), the experimental assemblies were dominated by species with functional traits adapted to water shortage conditions: high leaf dry matter content, low specific leaf area, small individual size, low reproductive ratio and high root:shoot ratio. We identified two roles of BSCs in annual plant species assemblies: (a) as a biotic filter that limited the establishment of species based on seed size, and (b) as a buffer against water stress conditions by reducing soil evapotranspiration.

Synthesis. We demonstrated the importance of the timing and amount of rainfall for shaping annual plant communities, and identified germination filters as the main process that determined community assemblies. Our results suggest that the phenotypic integration of functional traits facilitates resistance to drought during the life cycle. The BSC\uffe2\uff80\uff93annual plant relationship shifted from negative, by acting as a germination filter, to positive, by acting as a buffer in later stages. Climatic fluctuations and fine scale biotic determinants of spatial heterogeneity emerged as sources of changes in the community assembly in time and space to possibly promote species coexistence and trait differences among the communities studied.

Manipulative experiments and observations along environmental gradients, the two most common approaches to evaluate the impacts of climate change on nutrient cycling, are generally assumed to produce similar results, but this assumption has rarely been tested. We did so by conducting a meta-analysis and found that soil nutrients responded differentially to drivers of climate change depending on the approach considered. Soil carbon, nitrogen, and phosphorus concentrations generally decreased with water addition in manipulative experiments but increased with annual precipitation along environmental gradients. Different patterns were also observed between warming experiments and temperature gradients. Our findings provide evidence of inconsistent results and suggest that manipulative experiments may be better predictors of the causal impacts of short-term (months to years) climate change on soil nutrients but environmental gradients may provide better information for long-term correlations (centuries to millennia) between these nutrients and climatic features. Ecosystem models should consequently incorporate both experimental and observational data to properly assess the impacts of climate change on nutrient cycling.

", "keywords": ["0106 biological sciences", "QH301-705.5", "Nitrogen", "Science", "Climate Change", "precipitation", "01 natural sciences", "nitrogen", "climatic changes", "Soil", "nutrients", "biogeochemistry", "XXXXXX - Unknown", "phosphorus", "Biology (General)", "soils", "Ecosystem", "2. Zero hunger", "soil nutrient", "Ecology", "carbon", "Q", "R", "Agriculture", "Phosphorus", "15. Life on land", "Carbon", "3. Good health", "climate change", "Food", "13. Climate action", "Medicine"]}, "links": [{"href": "https://doi.org/10.7554/elife.23255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/eLife", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7554/elife.23255", "name": "item", "description": "10.7554/elife.23255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7554/elife.23255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-06-01T00:00:00Z"}}, {"id": "10138/303695", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:06Z", "type": "Journal Article", "created": "2019-03-19", "title": "Uneven global distribution of food web studies under climate change", "description": "Abstract

Trophic interactions within food webs affect species distributions, coexistence, and provision of ecosystem services but can be strongly impacted by climatic changes. Understanding these impacts is therefore essential for managing ecosystems and sustaining human well\uffe2\uff80\uff90being. Here, we conducted a global synthesis of terrestrial, marine, and freshwater studies to identify key gaps in our knowledge of climate change impacts on food webs and determine whether the areas currently studied are those most likely to be impacted by climate change. We found research suffers from a strong geographic bias, with only 3.5% of studies occurring in the tropics. Importantly, the distribution of sites sampled under projected climate changes was biased\uffe2\uff80\uff94areas with decreases or large increases in precipitation and areas with low magnitudes of temperature change were under\uffe2\uff80\uff90represented. Our results suggest that understanding of climate change impacts on food webs could be broadened by considering more than two trophic levels, responses in addition to species abundance and biomass, impacts of a wider suite of climatic variables, and tropical ecosystems. Most importantly, to enable better forecasts of biodiversity responses to climate change, we identify critically under\uffe2\uff80\uff90represented geographic regions and climatic conditions which should be prioritized in future research.Unprecedented nitrogen (N) inputs into terrestrial ecosystems have profoundly altered soil N cycling. Ammonia oxidizers and denitrifiers are the main producers of nitrous oxide (N2O), but it remains unclear how ammonia oxidizer and denitrifier abundances will respond to N loading and whether their responses can predict N\uffe2\uff80\uff90induced changes in soil N2O emission. By synthesizing 101 field studies worldwide, we showed that N loading significantly increased ammonia oxidizer abundance by 107% and denitrifier abundance by 45%. The increases in both ammonia oxidizer and denitrifier abundances were primarily explained by N loading form, and more specifically, organic N loading had stronger effects on their abundances than mineral N loading. Nitrogen loading increased soil N2O emission by 261%, whereas there was no clear relationship between changes in soil N2O emission and shifts in ammonia oxidizer and denitrifier abundances. Our field\uffe2\uff80\uff90based results challenge the laboratory\uffe2\uff80\uff90based hypothesis that increased ammonia oxidizer and denitrifier abundances by N loading would directly cause higher soil N2O emission. Instead, key abiotic factors (mean annual precipitation, soil pH, soil C:N ratio, and ecosystem type) explained N\uffe2\uff80\uff90induced changes in soil N2O emission. Altogether, these findings highlight the need for considering the roles of key abiotic factors in regulating soil N transformations under N loading to better understand the microbially mediated soil N2O emission.This study analyses long\uffe2\uff80\uff90term changes in drought indices (Standardised Precipitation Index\uffe2\uff80\uff94SPI, Standardised Precipitation\uffe2\uff80\uff93Evapotranspiration Index\uffe2\uff80\uff94SPEI) at 1 and 3\uffe2\uff80\uff89months scales at 182 stations in 11 central and eastern European countries during 1949\uffe2\uff80\uff932018. For comparative purposes, the necessary atmospheric evaporative demand (AED) to obtain SPEI was calculated using two methods, Hargreaves\uffe2\uff80\uff90Samani (SPEIH) and Penman\uffe2\uff80\uff90Monteith (SPEIP). The results show some relevant changes and tendencies in the drought indices. Statistically significant increase in SPI and SPEI during the cold season (November\uffe2\uff80\uff93March), reflecting precipitation increase, was found in the northern part of the study region, in Estonia, Latvia, Lithuania, northern Belarus and northern Poland. In the rest of study domain, a weak and mostly insignificant decrease prevailed in winter. Summer season (June\uffe2\uff80\uff93August) is characterized by changes in the opposite sign. An increase was observed in the north, while a clear decrease in SPEI, reflecting a drying trend, was typical for the southern regions: the Czech Republic, Slovakia, Hungary, Romania, Moldova and southern Poland. A general drying tendency revealed also in April, which was statistically significant over a wide area in the Czech Republic and Poland. Increasing trends in SPI and SPEI for September and October were detected in Romania, Moldova and Hungary. The use of SPEI instead of SPI generally enhances drying trends.Understanding the role of soil moisture and other controls in runoff generation is important for predicting runoff across scales. This paper aims to identify the degree of non\uffe2\uff80\uff90linearity of the relationship between event peak runoff and potential controls for different runoff generation mechanisms in a small agricultural catchment. The study is set in the 66\uffe2\uff80\uff89ha Hydrological Open Air Laboratory, Austria, where discharge was measured at the catchment outlet and for 11 sub\uffe2\uff80\uff90catchments or hillslopes with different runoff generation mechanisms. Peak runoff of 73 events was related to three potential controls: event precipitation, soil moisture and groundwater levels. The results suggest that the hillslopes dominated by ephemeral overland flow exhibit the most non\uffe2\uff80\uff90linear runoff generation behaviour for its controls; runoff is only generated above a threshold of 95% of the maximum soil moisture. Runoff generation through tile drains and in wetlands is more linear. The largest winter and spring events at the catchment outlet are caused by runoff from hillslopes with shallow flow paths (ephemeral overland flow and tile drainage mechanisms), while the largest summer events are caused by other hillslopes, those with deeper flow paths or with saturation areas throughout the year. Therefore, the response of the entire catchment is a mix of the various mechanisms, and the groundwater contribution makes the response more linear. The implications for hydrological modelling are discussed.

The inherent biases of different long-term gridded surface soil moisture (SSM) products, unconstrained by the in situ observations, implies different spatio-temporal patterns. In this study, the Random Forest (RF) model was trained to predict SSM from relevant land surface feature variables (i.e., land surface temperature, vegetation indices, soil texture, and geographical information) and precipitation, based on the in situ soil moisture data of the International Soil Moisture Network (ISMN.). The results of the RF model show an RMSE of 0.05 m3 m\u22123 and a correlation coefficient of 0.9. The calculated impurity-based feature importance indicates that the Antecedent Precipitation Index affects most of the predicted soil moisture. The geographical coordinates also significantly influence the prediction (i.e., RMSE was reduced to 0.03 m3 m\u22123 after considering geographical coordinates), followed by land surface temperature, vegetation indices, and soil texture. The spatio-temporal pattern of RF predicted SSM was compared with the European Space Agency Climate Change Initiative (ESA-CCI) soil moisture product, using both time-longitude and latitude diagrams. The results indicate that the RF SSM captures the spatial distribution and the daily, seasonal, and annual variabilities globally.

", "keywords": ["feature importance", "Antecedent precipitation index", "Science", "Q", "0207 environmental engineering", "In situ constrained", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Feature importance", "antecedent precipitation index", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Global scale", "Antecedent precipitation index; Feature importance; Global scale; In situ constrained; Random forest; Soil moisture", "Soil moisture", "soil moisture", "ITC-GOLD", "in situ constrained", "soil moisture; random forest; global scale; in situ constrained; feature importance; antecedent precipitation index", "random forest", "Random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/938135/1/2021_Ljie_Zeng_et_al_remotesensing.pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://doi.org/11588/938135"}, {"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": "11588/938135", "name": "item", "description": "11588/938135", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11588/938135"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-02T00:00:00Z"}}, {"id": "1854/LU-01J9NQCTA3B39X0MAC0P804GF5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:58Z", "type": "Journal Article", "created": "2024-09-20", "title": "Model-based analysis of the impact of climate change on hydrology in the Guayas River basin (Ecuador)", "description": "ABSTRACT

Worldwide climate change will most likely lead to drastic changes in hydrology and food production. In this study, the impact of climate change on the hydrological regime and the fate of pesticides in the Guayas River basin is investigated using the Soil and Water Assessment Tool. Four general circulation models and three representative concentration pathways (RCP 4.5, RCP 6.0 and RCP 8.5) for three future periods were used to assess impact of climate change. Future projections showed a maximum increase in the average monthly precipitation of 40% in June, as well as an increase in an average minimum temperature of 3.85\uffc2\uffb0C for July and an average maximum temperature of 4.5\uffc2\uffb0C for August in 2080s. The model simulations based on RCP 8.5 scenario predict an increase in potential evapotranspiration by 11%, surface runoff of 39% and water yield of 33% in 2080s. The pesticide simulation showed the highest water concentrations during the wet season. Projections of trends in pesticide concentration indicate a similar trend to the current situation given the application rate remains the same. The results can be beneficial for the management and planning of the basin to mitigate flood and water quality-related impacts of food production and climate change.Anthropogenic climate change is altering precipitation regimes at a global scale. While precipitation changes have been linked to changes in the abundance and diversity of soil and litter invertebrate fauna in forests, general trends have remained elusive due to mixed results from primary studies. We used a meta\uffe2\uff80\uff90analysis based on 430 comparisons from 38 primary studies to address associated knowledge gaps, (i) quantifying impacts of precipitation change on forest soil and litter fauna abundance and diversity, (ii) exploring reasons for variation in impacts and (iii) examining biases affecting the realism and accuracy of experimental studies. Precipitation reductions led to a decrease of 39% in soil and litter fauna abundance, with a 35% increase in abundance under precipitation increases, while diversity impacts were smaller. A statistical model containing an interaction between body size and the magnitude of precipitation change showed that mesofauna (e.g. mites, collembola) responded most to changes in precipitation. Changes in taxonomic richness were related solely to the magnitude of precipitation change. Our results suggest that body size is related to the ability of a taxon to survive under drought conditions, or to benefit from high precipitation. We also found that most experiments manipulated precipitation in a way that aligns better with predicted extreme climatic events than with predicted average annual changes in precipitation and that the experimental plots used in experiments were likely too small to accurately capture changes for mobile taxa. The relationship between body size and response to precipitation found here has far\uffe2\uff80\uff90reaching implications for our ability to predict future responses of soil biodiversity to climate change and will help to produce more realistic mechanistic soil models which aim to simulate the responses of soils to global change.Past vegetation and climatic conditions are known to influence current biodiversity patterns. However, whether their legacy effects affect the provision of multiple ecosystem functions, that is, multifunctionality, remains largely unknown. Here we analyzed soil nutrient stocks and their transformation rates in 236 drylands from six continents to evaluate the associations between current levels of multifunctionality and legacy effects of the\uffc2\uffa0Last Glacial Maximum (LGM) desert biome distribution and climate. We found that past desert distribution and temperature legacy, defined as increasing temperature from LGM, were negatively correlated with contemporary multifunctionality even after accounting for predictors such as current climate, soil texture, plant species richness, and site topography. Ecosystems that have been deserts since the LGM had up to 30% lower contemporary multifunctionality compared with those that were nondeserts during the LGM. In addition, ecosystems that experienced higher warming rates since the LGM had lower contemporary multifunctionality than those suffering lower warming rates, with a ~9% reduction per extra degree Celsius. Past desert distribution and temperature legacies had direct negative effects, while temperature legacy also had indirect (via soil sand content) negative effects on multifunctionality. Our results indicate that past biome and climatic conditions have left a strong \uffe2\uff80\uff9cfunctionality debt\uffe2\uff80\uff9d in global drylands. They also suggest that ongoing warming and expansion of desert areas may leave a strong fingerprint in the future functioning of dryland ecosystems worldwide that needs to be considered when establishing management actions aiming to combat land degradation and desertification.Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.

The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.

A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.

The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359\u20134373).", "formats": [{"name": "HTML"}], "keywords": ["amenagement-antierosif", "aufbewahrungs-und-archivierungsplanung-aap-bund", "aumento-delle-precipitazioni", "bgdi-bundesgeodaten-infrastruktur", "boden", "bodenerosion", "ch", "conservation-and-archiving-planning-aap-confederation", "controllo-dellerosione", "e-geoch", "erosion", "erosion-control", "erosion-du-sol", "erosione", "erosione-del-suolo", "erosionsschutz", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "intensification-des-precipitations", "niederschlagserhohung", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "precipitation-enhancement", "soil", "soil-erosion", "sol", "suolo"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.niederschlagserosivitaet/items/niederschlagserosivitaet-jun"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.niederschlagserosivitaet-jun"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.researchgate.net/publication/309429881_Regionalization_of_monthly_rainfall_erosivity_patterns_in_Switzerland"}, {"href": "http://data.europa.eu/88u/dataset/1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu", "name": "item", "description": "1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/273667", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:22Z", "type": "Journal Article", "created": "2017-09-11", "title": "CO2 evasion from boreal lakes: Revised estimate, drivers of spatial variability, and future projections", "description": "Abstract

Lakes (including reservoirs) are an important component of the global carbon (C) cycle, as acknowledged by the fifth assessment report of the IPCC. In the context of lakes, the boreal region is disproportionately important contributing to 27% of the worldwide lake area, despite representing just 14% of global land surface area. In this study, we used a statistical approach to derive a prediction equation\uffc2\uffa0for the partial pressure of CO2 (pCO2) in lakes as a function of lake area, terrestrial net primary productivity (NPP), and precipitation (r2\uffc2\uffa0=\uffc2\uffa0.56), and to create the first high\uffe2\uff80\uff90resolution, circumboreal map (0.5\uffc2\uffb0) of lake pCO2. The map of\uffc2\uffa0pCO2 was combined with lake area from the recently published GLOWABO database and three different estimates of the gas transfer velocity k to produce a resulting map of CO2 evasion (FCO2). For the boreal region, we estimate an average, lake area weighted, pCO2 of 966 (678\uffe2\uff80\uff931,325) \uffce\uffbcatm and a total\uffc2\uffa0FCO2 of 189 (74\uffe2\uff80\uff93347) Tg\uffc2\uffa0C\uffc2\uffa0year\uffe2\uff88\uff921, and evaluate the corresponding uncertainties based on Monte Carlo simulation. Our estimate of FCO2 is approximately twofold greater than previous estimates, as a result of methodological and data source differences. We use our results along with published estimates of the other C fluxes through inland waters to derive a C budget for the boreal region, and find that FCO2 from lakes is the most significant flux of the land\uffe2\uff80\uff90ocean aquatic continuum, and of a similar magnitude as emissions from forest fires. Using the model and applying it to spatially resolved projections of terrestrial NPP and precipitation while keeping everything else constant, we predict a 107% increase in boreal lake FCO2 under emission scenario RCP8.5 by 2100. Our projections are largely driven by increases in terrestrial NPP over the same period, showing the very close connection between the terrestrial and aquatic C cycle.

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.

", "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/2283805478"}, {"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": "2283805478", "name": "item", "description": "2283805478", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2283805478"}, {"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": "2619197131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:42Z", "type": "Journal Article", "created": "2017-06-01", "title": "Experimental and observational studies find contrasting responses of soil nutrients to climate change", "description": "

Manipulative experiments and observations along environmental gradients, the two most common approaches to evaluate the impacts of climate change on nutrient cycling, are generally assumed to produce similar results, but this assumption has rarely been tested. We did so by conducting a meta-analysis and found that soil nutrients responded differentially to drivers of climate change depending on the approach considered. Soil carbon, nitrogen, and phosphorus concentrations generally decreased with water addition in manipulative experiments but increased with annual precipitation along environmental gradients. Different patterns were also observed between warming experiments and temperature gradients. Our findings provide evidence of inconsistent results and suggest that manipulative experiments may be better predictors of the causal impacts of short-term (months to years) climate change on soil nutrients but environmental gradients may provide better information for long-term correlations (centuries to millennia) between these nutrients and climatic features. Ecosystem models should consequently incorporate both experimental and observational data to properly assess the impacts of climate change on nutrient cycling.

", "keywords": ["0106 biological sciences", "QH301-705.5", "Nitrogen", "Science", "Climate Change", "precipitation", "01 natural sciences", "nitrogen", "climatic changes", "Soil", "nutrients", "biogeochemistry", "XXXXXX - Unknown", "phosphorus", "Biology (General)", "soils", "Ecosystem", "2. Zero hunger", "soil nutrient", "Ecology", "carbon", "Q", "R", "Agriculture", "Phosphorus", "15. Life on land", "Carbon", "3. Good health", "climate change", "Food", "13. Climate action", "Medicine"]}, "links": [{"href": "https://doi.org/2619197131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/eLife", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2619197131", "name": "item", "description": "2619197131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2619197131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-06-01T00:00:00Z"}}, {"id": "2945826721", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:29:53Z", "type": "Journal Article", "created": "2019-05-21", "title": "Evidence of functional species sorting by rainfall and biotic interactions: A community monolith experimental approach", "description": "Abstract

Understanding the mechanisms that underlie species assembly is a central concern in community ecology. Abiotic and biotic filters are probabilistic \uffe2\uff80\uff98sieves\uffe2\uff80\uff99 that allow species with certain functional traits to become a part of the community, or not. We manipulated natural plant assemblies in order to identify variations in the timings of biotic and abiotic filters that determine community trait assemblies.

We extracted soil portions when the investigated annual plant community was in its seed phase (\uffe2\uff80\uff98community monolith\uffe2\uff80\uff99), thereby maintaining the structure and similar soil characteristics to the field conditions. Community monoliths were subjected to experimental manipulation in terms of the rainfall timing and amount, and perturbations of the biological soil crust (BSC; intact vs. perturbed). We surveyed the experimental community assembly over time based on the functional diversity by considering important functional traits in different life stages.

We found that autumn droughts acted as abiotic filters by favouring the germination and establishment of species with greater investment in the root biomass. Under severe droughts (66% water reduction), the experimental assemblies were dominated by species with functional traits adapted to water shortage conditions: high leaf dry matter content, low specific leaf area, small individual size, low reproductive ratio and high root:shoot ratio. We identified two roles of BSCs in annual plant species assemblies: (a) as a biotic filter that limited the establishment of species based on seed size, and (b) as a buffer against water stress conditions by reducing soil evapotranspiration.

Synthesis. We demonstrated the importance of the timing and amount of rainfall for shaping annual plant communities, and identified germination filters as the main process that determined community assemblies. Our results suggest that the phenotypic integration of functional traits facilitates resistance to drought during the life cycle. The BSC\uffe2\uff80\uff93annual plant relationship shifted from negative, by acting as a germination filter, to positive, by acting as a buffer in later stages. Climatic fluctuations and fine scale biotic determinants of spatial heterogeneity emerged as sources of changes in the community assembly in time and space to possibly promote species coexistence and trait differences among the communities studied.

This study analyses long\uffe2\uff80\uff90term changes in drought indices (Standardised Precipitation Index\uffe2\uff80\uff94SPI, Standardised Precipitation\uffe2\uff80\uff93Evapotranspiration Index\uffe2\uff80\uff94SPEI) at 1 and 3\uffe2\uff80\uff89months scales at 182 stations in 11 central and eastern European countries during 1949\uffe2\uff80\uff932018. For comparative purposes, the necessary atmospheric evaporative demand (AED) to obtain SPEI was calculated using two methods, Hargreaves\uffe2\uff80\uff90Samani (SPEIH) and Penman\uffe2\uff80\uff90Monteith (SPEIP). The results show some relevant changes and tendencies in the drought indices. Statistically significant increase in SPI and SPEI during the cold season (November\uffe2\uff80\uff93March), reflecting precipitation increase, was found in the northern part of the study region, in Estonia, Latvia, Lithuania, northern Belarus and northern Poland. In the rest of study domain, a weak and mostly insignificant decrease prevailed in winter. Summer season (June\uffe2\uff80\uff93August) is characterized by changes in the opposite sign. An increase was observed in the north, while a clear decrease in SPEI, reflecting a drying trend, was typical for the southern regions: the Czech Republic, Slovakia, Hungary, Romania, Moldova and southern Poland. A general drying tendency revealed also in April, which was statistically significant over a wide area in the Czech Republic and Poland. Increasing trends in SPI and SPEI for September and October were detected in Romania, Moldova and Hungary. The use of SPEI instead of SPI generally enhances drying trends.

The inherent biases of different long-term gridded surface soil moisture (SSM) products, unconstrained by the in situ observations, implies different spatio-temporal patterns. In this study, the Random Forest (RF) model was trained to predict SSM from relevant land surface feature variables (i.e., land surface temperature, vegetation indices, soil texture, and geographical information) and precipitation, based on the in situ soil moisture data of the International Soil Moisture Network (ISMN.). The results of the RF model show an RMSE of 0.05 m3 m\u22123 and a correlation coefficient of 0.9. The calculated impurity-based feature importance indicates that the Antecedent Precipitation Index affects most of the predicted soil moisture. The geographical coordinates also significantly influence the prediction (i.e., RMSE was reduced to 0.03 m3 m\u22123 after considering geographical coordinates), followed by land surface temperature, vegetation indices, and soil texture. The spatio-temporal pattern of RF predicted SSM was compared with the European Space Agency Climate Change Initiative (ESA-CCI) soil moisture product, using both time-longitude and latitude diagrams. The results indicate that the RF SSM captures the spatial distribution and the daily, seasonal, and annual variabilities globally.

", "keywords": ["feature importance", "Science", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "antecedent precipitation index", "SDG 13 - Climate Action", "Global scale", "Antecedent precipitation index; Feature importance; Global scale; In situ constrained; Random forest; Soil moisture", "soil moisture; random forest; global scale; in situ constrained; feature importance; antecedent precipitation index", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "Antecedent precipitation index", "Q", "In situ constrained", "15. Life on land", "Feature importance", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Soil moisture", "soil moisture", "ITC-GOLD", "in situ constrained", "random forest", "Random forest"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/938135/1/2021_Ljie_Zeng_et_al_remotesensing.pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://doi.org/3216678516"}, {"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": "3216678516", "name": "item", "description": "3216678516", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3216678516"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-02T00:00:00Z"}}, {"id": "34418448", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-06-26T16:30:33Z", "type": "Journal Article", "created": "2021-08-18", "title": "Response of net reduction rate in vegetation carbon uptake to climate change across a unique gradient zone on the Tibetan Plateau", "description": "The Tibetan Plateau (TP) has a variety of vegetation types that range from alpine tundra to tropic evergreen forest, which play an important role in the global carbon (C) cycle and is extremely vulnerable to climate change. The vegetation C uptake is crucial to the ecosystem C sequestration. Moreover, net reduction in vegetation C uptake (NRVCU) will strongly affect the C balance of terrestrial ecosystem. Until now, there is limited knowledge on the recovery process of vegetation net C uptake and the spatial-temporal patterns of NRVCU after the disturbance that caused by climate change and human activities. Here, we used the MODIS-derived net primary production to characterize the spatial-temporal patterns of NRVCU. We further explored the influence factors of the net reduction rate in vegetation C uptake (NRRVCU) and recovery processes of vegetation net C uptake across a unique gradient zone on the TP. Results showed that the total net reduction amount of vegetation C uptake gradually decreased from 2000 to 2015 on the TP (Slope\u00a0=\u00a0-0.002, P\u00a0<\u00a00.05). Specifically, an increasing gradient zone of multi-year average of net reduction rate in vegetation carbon uptake (MYANRRVCU) from east to west was observed. In addition, we found that the recovery of vegetation net C uptake after the disturbance caused by climate change and anthropogenic disturbance in the gradient zone were primarily dominated by precipitation and temperature. The findings revealed that the effects of climate change on MYANRRVCU and vegetation net C uptake recovery differed significantly across geographical space and vegetation types. Our results highlight that the biogeographic characteristics of the TP should be considered for combating future climate change.", "keywords": ["DYNAMICS", "TREE MORTALITY", "Climate Change", "Tibet", "01 natural sciences", "FLUX TOWER", "Climate change", "Humans", "EXCHANGE", "TEMPERATURE", "DROUGHT", "Ecosystem", "Gradient zone", "0105 earth and related environmental sciences", "PRODUCTIVITY", "Net reduction rate", "Anthropogenic Effects", "Temperature", "04 agricultural and veterinary sciences", "15. Life on land", "Vegetation C uptake", "Carbon", "TERRESTRIAL ECOSYSTEMS", "Tibetan plateau", "ECOSYSTEM CARBON", "13. Climate action", "PRECIPITATION", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/34418448"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "34418448", "name": "item", "description": "34418448", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/34418448"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Precipitation&offset=50&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Precipitation&offset=50&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Precipitation&offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Precipitation&offset=100", "hreflang": "en-US"}], "numberMatched": 171, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-26T23:21:36.098019Z"}