{"type": "FeatureCollection", "features": [{"id": "10.1002/2016WR020175", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:13:58Z", "type": "Journal Article", "created": "2017-03-11", "title": "The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources", "description": "Abstract

The fate of the terrestrial biosphere is highly uncertain given recent and projected changes in climate. This is especially acute for impacts associated with changes in drought frequency and intensity on the distribution and timing of water availability. The development of effective adaptation strategies for these emerging threats to food and water security are compromised by limitations in our understanding of how natural and managed ecosystems are responding to changing hydrological and climatological regimes. This information gap is exacerbated by insufficient monitoring capabilities from local to global scales. Here, we describe how evapotranspiration (ET) represents the key variable in linking ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources, and highlight both the outstanding science and applications questions and the actions, especially from a space\uffe2\uff80\uff90based perspective, necessary to advance them.

", "keywords": ["2. Zero hunger", "ecosystem", "biosphere", "changement climatique", "550", "[SDV]Life Sciences [q-bio]", "satellite", "evapotranspiration", "drought", "disponibilit\u00e9 en eau", "15. Life on land", "global", "water resources", "\u00e9cosyst\u00e8me", "01 natural sciences", "6. Clean water", "[SDV] Life Sciences [q-bio]", "13. Climate action", "Earth Sciences", "climate", "global change", "agriculture", "s\u00e9cheresse", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016WR020175"}, {"href": "https://doi.org/10.1002/2016WR020175"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2016WR020175", "name": "item", "description": "10.1002/2016WR020175", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016WR020175"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-01T00:00:00Z"}}, {"id": "10.1002/ldr.3080", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:09Z", "type": "Journal Article", "created": "2018-07-04", "title": "A framework for scaling sustainable land management options", "description": "Abstract

Improvements in land use and management are needed at a global scale to tackle interconnected global challenges of population growth, poverty, migration, climate change, biodiversity loss, and degrading land and water resources. There are hundreds of technical options for improving the sustainability of land management and preventing or reversing degradation, but there are many sociocultural, institutional, economic, and policy barriers hindering their adoption at large scale. To tackle this challenge, the Dryland Systems Program of the Consultative Group for International Agricultural Research and the UN Convention to Combat Desertification convened an expert group to consider barriers and incentives to scaling technologies, processes, policies, or institutional arrangements. The group reviewed existing frameworks for scaling sustainable land management (SLM) interventions across a range of contexts and identified eight critical actions for success: (a) plan iteratively; (b) consistently fund; (c) select SLM options for scaling based on best available evidence; (d) identify and engage with stakeholders at all scales; (e) build capacity for scaling; (f) foster institutional leadership and policy change to support scaling; (g) achieve early benefits and incentives for as many stakeholders as possible; and (h) monitor, evaluate, and communicate. Incentives for scaling were identified for the private sector, farmers and their communities, and policy makers. Based on these findings, a new action framework for scaling is presented that analyses the contexts where specific SLM interventions can be scaled, so that SLM options can be screened and adapted to these contexts, piloted and disseminated. The framework can help countries achieve land degradation neutrality.

", "keywords": ["330", "incentives", "private sector", "land; management; options; scaling; sustainable; Environmental Chemistry; Development3304 Education; 2300; Soil Science", "farmers", "water resources", "01 natural sciences", "stakeholders", "case studies", "630", "12. Responsible consumption", "economic aspects", "agricultural development", "Drylands Agriculture", "11. Sustainability", "policy making", "land; management; options; scaling; sustainable", "0105 earth and related environmental sciences", "2. Zero hunger", "land degradation", "capacity building", "land management", "1. No poverty", "land use", "15. Life on land", "sustainability", "Sustainable Agriculture", "6. Clean water", "communities", "climate change", "13. Climate action", "ecosystem services", "corporate culture"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/ldr.3080"}, {"href": "https://doi.org/10.1002/ldr.3080"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Degradation%20%26amp%3B%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ldr.3080", "name": "item", "description": "10.1002/ldr.3080", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ldr.3080"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-30T00:00:00Z"}}, {"id": "10.1002/lno.11606", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:10Z", "type": "Journal Article", "created": "2020-09-25", "title": "The relevance of environment vs. composition on dissolved organic matter degradation in freshwaters", "description": "Abstract

Dissolved organic matter (DOM) composition exerts a direct control on its degradation and subsequent persistence in aquatic ecosystems. Yet, under certain conditions, the degradation patterns of DOM cannot be solely explained by its composition, highlighting the relevance of environmental conditions for DOM degradation. Here, we experimentally assessed the relative influence of composition vs. environment on DOM degradation by performing degradation bioassays using three contrasting DOM sources inoculated with a standardized bacterial inoculum under five distinct environments. The DOM degradation kinetics modeled using reactivity continuum models showed that composition was more important than environment in determining the bulk DOM decay patterns. Changes in DOM composition resulted from the interaction between DOM source and environment. The role of environment was stronger on shaping the bacterial community composition, but the intrinsic nature of the DOM source exerted stronger control on the DOM degradation function.High\uffe2\uff80\uff90resolution mass spectrometry (HRMS) has become a vital tool for dissolved organic matter (DOM) characterization. The upward trend in HRMS analysis of DOM presents challenges in data comparison and interpretation among laboratories operating instruments with differing performance and user operating conditions. It is therefore essential that the community establishes metric ranges and compositional trends for data comparison with reference samples so that data can be robustly compared among research groups. To this end, four identically prepared DOM samples were each measured by 16 laboratories, using 17 commercially purchased instruments, using positive\uffe2\uff80\uff90ion and negative\uffe2\uff80\uff90ion mode electrospray ionization (ESI) HRMS analyses. The instruments identified ~1000 common ions in both negative\uffe2\uff80\uff90 and positive\uffe2\uff80\uff90ion modes over a wide range of m/z values and chemical space, as determined by van Krevelen diagrams. Calculated metrics of abundance\uffe2\uff80\uff90weighted average indices (H/C, O/C, aromaticity, and m/z) of the commonly detected ions showed that hydrogen saturation and aromaticity were consistent for each reference sample across the instruments, while average mass and oxygenation were more affected by differences in instrument type and settings. In this paper we present 32 metric values for future benchmarking. The metric values were obtained for the four different parameters from four samples in two ionization modes and can be used in future work to evaluate the performance of HRMS instruments.Photochemical degradation of dissolved organic matter (DOM) has been the subject of numerous studies; however, its regulation along the inland water continuum is still unclear. We aimed to unravel the DOM photoreactivity and concurrent DOM compositional changes across 30 boreal aquatic ecosystems including peat waters, streams, rivers, and lakes distributed along a water residence time (WRT) gradient. Samples were subjected to a standardized exposure of simulated sunlight. We measured the apparent quantum yield (AQY), which corresponds to DOM photomineralization per photon absorbed, and the compositional change in DOM at bulk and individual compound levels in the original samples and after irradiation. AQY increased with the abundance of terrestrially derived DOM and decreased at higher WRT. Additionally, the photochemical changes in both DOM optical properties and molecular composition resembled changes along the natural boreal WRT gradient at low WRT (<3\uffc2\uffa0years). Accordingly, mass spectrometry revealed that the abundance of photolabile and photoproduced molecules decreased with WRT along the boreal aquatic continuum. Our study highlights the tight link between DOM composition and DOM photodegradation. We suggest that photodegradation is an important driver of DOM composition change in waters with low WRT, where DOM is highly photoreactive.The present work aims to quantify the impact of climate change (CC) on the grain yields of irrigated cereals and their water requirements in the Tensift region of Morocco. The Med-CORDEX (MEDiterranean COordinated Regional Climate Downscaling EXperiment) ensemble runs under scenarios RCP4.5 (Representative Concentration Pathway) and RCP8.5 are first evaluated and disaggregated using the quantile-quantile approach. The impact of CC on the duration of the main wheat phenological stages based on the degree-day approach is then analyzed. The results show that the rise in air temperature causes a shortening of the development cycle of up to 50 days. The impacts of rising temperature and changes in precipitation on wheat yields are next evaluated, based on the AquaCrop model, both with and without taking into account the fertilizing effect of CO2. As expected, optimal wheat yields will decrease on the order of 7 to 30% if CO2 concentration rise is not considered. The fertilizing effect of CO2 can counterbalance yield losses, since optimal yields could increase by 7% and 13% respectively at mid-century for the RCP4.5 and RCP8.5 scenarios. Finally, water requirements are expected to decrease by 13 to 42%, mainly in response to the shortening of the cycle. This decrease is associated with a change in temporal patterns, with the requirement peak coming two months earlier than under current conditions.

", "keywords": ["Water resources", "Atmospheric sciences", "Agricultural Irrigation", "environment/Bioclimatology", "550", "Representative Concentration Pathways", "Adaptation to Climate Change in Agriculture", "Arid", "Rain", "[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy", "Climate Change and Variability Research", "Plant Science", "Precipitation", "02 engineering and technology", "01 natural sciences", "Agricultural and Biological Sciences", "Downscaling", "Climate change", "Quantile", "Triticum", "Climatology", "2. Zero hunger", "Global and Planetary Change", "Ecology", "Geography", "Temperature", "Life Sciences", "Geology", "Morocco", "Phenology", "[SDV.EE.BIO]Life Sciences [q-bio]/Ecology", "Seeds", "Physical Sciences", "Metallurgy", "Desert Climate", "Impacts of Elevated CO2 and Ozone on Plant Physiology", "Climate Change", "0207 environmental engineering", "Yield (engineering)", "Climate model", "Article", "Environmental science", "FOS: Economics and business", "Meteorology", "FOS: Mathematics", "Econometrics", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "0105 earth and related environmental sciences", "[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "Water", "FOS: Earth and related environmental sciences", "Carbon Dioxide", "15. Life on land", "Agronomy", "Materials science", "[SDV.EE.BIO] Life Sciences [q-bio]/Ecology", " environment/Bioclimatology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Crop Yield", "Mediterranean climate", "Mathematics", "Climate Modeling"]}, "links": [{"href": "https://www.nature.com/articles/s41598-019-55251-2.pdf"}, {"href": "https://doi.org/10.1038/s41598-019-55251-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41598-019-55251-2", "name": "item", "description": "10.1038/s41598-019-55251-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-019-55251-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-16T00:00:00Z"}}, {"id": "10.1038/s43247-021-00192-w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:18:46Z", "type": "Journal Article", "created": "2021-06-10", "title": "Carbon dioxide fluxes increase from day to night across European streams", "description": "Abstract

Globally, inland waters emit over 2 Pg of carbon per year as carbon dioxide, of which the majority originates from streams and rivers. Despite the global significance of fluvial carbon dioxide emissions, little is known about their diel dynamics. Here we present a large-scale assessment of day- and night-time carbon dioxide fluxes at the water-air interface across 34 European streams. We directly measured fluxes four times between October 2016 and July 2017 using drifting chambers. Median fluxes are 1.4 and 2.1\uffe2\uff80\uff89mmol\uffe2\uff80\uff89m\uffe2\uff88\uff922 h\uffe2\uff88\uff921 at midday and midnight, respectively, with night fluxes exceeding those during the day by 39%. We attribute diel carbon dioxide flux variability mainly to changes in the water partial pressure of carbon dioxide. However, no consistent drivers could be identified across sites. Our findings highlight widespread day-night changes in fluvial carbon dioxide fluxes and suggest that the time of day greatly influences measured carbon dioxide fluxes across European streams.

", "keywords": ["DYNAMICS", "0106 biological sciences", "DIURNAL-VARIATION", "550", "Naturgeografi", "PCO(2)", "Geography & travel", "Oceanografi", " hydrologi och vattenresurser", "910", "01 natural sciences", "Oceanography", " Hydrology and Water Resources", "105205 Klimawandel", "Limnology", "105304 Hydrologie", "SDG 13 - Climate Action", "info:eu-repo/classification/ddc/910", "106026 Ecosystem research", "1ST-ORDER STREAM", "106020 Limnology", "105205 Climate change", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "EVASION", "Carbon cycle", "ddc:910", "106020 Limnologie", "Climate Science", "ECOSYSTEM METABOLISM", "WATER-AIR", "Physical Geography", "106026 \u00d6kosystemforschung", "CO2 EMISSIONS", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Environmental chemistry", "DISSOLVED ORGANIC-MATTER", "Klimatvetenskap", "105304 Hydrology", "GAS-EXCHANGE"]}, "links": [{"href": "https://eprints.bournemouth.ac.uk/35763/1/s43247-021-00192-w.pdf"}, {"href": "https://iris.unito.it/bitstream/2318/1799544/1/106%20EURORUN.pdf"}, {"href": "https://www.nature.com/articles/s43247-021-00192-w.pdf"}, {"href": "https://doi.org/10.1038/s43247-021-00192-w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Communications%20Earth%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s43247-021-00192-w", "name": "item", "description": "10.1038/s43247-021-00192-w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s43247-021-00192-w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-22T00:00:00Z"}}, {"id": "10.1098/rstb.2020.0175", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:40Z", "type": "Journal Article", "created": "2021-08-08", "title": "The role of soils in regulation and provision of blue and green water", "description": "

The United Nations Sustainable Development Goal 6 aims for clean water and sanitation for all by 2030, through eight subgoals dealing with four themes: (i) water quantity and availability, (ii) water quality, (iii) finding sustainable solutions and (iv) policy and governance. In this opinion paper, we assess how soils and associated land and water management can help achieve this goal, considering soils at two scales: local soil health and healthy landscapes. The merging of these two viewpoints shows the interlinked importance of the two scales. Soil health reflects the capacity of a soil to provide ecosystem services at a specific location, taking into account local climate and soil conditions. Soil is also an important component of a healthy and sustainable landscape, and they are connected by the water that flows through the soil and the transported sediments. Soils are linked to water in two ways: through plant-available water in the soil (green water) and through water in surface bodies or available as groundwater (blue water). In addition, water connects the soil scale and the landscape scale by flowing through both. Nature-based solutions at both soil health and landscape-scale can help achieve sustainable future development but need to be embedded in good governance, social acceptance and economic viability.

This article is part of the theme issue \u2018The role of soils in delivering Nature's Contributions to People\u2019.

", "keywords": ["Climate", "Sustainable Development Goals", "01 natural sciences", "12. Responsible consumption", "Soil", "Water Quality", "11. Sustainability", "SDG 6", "nature-based solutions", "Ecosystem", "SDG 3", "0105 earth and related environmental sciences", "2. Zero hunger", "SDG 17", "Conservation of Water Resources", "soil health", "1. No poverty", "04 agricultural and veterinary sciences", "15. Life on land", "SDG 12", "6. Clean water", "13. Climate action", "Sustainable Development Goal 6", "connectivity", "blue and green water", "0401 agriculture", " forestry", " and fisheries", "ecosystem services"]}, "links": [{"href": "https://doi.org/10.1098/rstb.2020.0175"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rstb.2020.0175", "name": "item", "description": "10.1098/rstb.2020.0175", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rstb.2020.0175"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-04T00:00:00Z"}}, {"id": "10.1371/journal.pone.0204597", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:20:54Z", "type": "Journal Article", "created": "2018-10-16", "title": "Effect Of Straw Return On Soil Respiration And Nee Of Paddy Fields Under Water-Saving Irrigation", "description": "Open Access\u062a\u0624\u062b\u0631 \u0639\u0648\u062f\u0629 \u0627\u0644\u0642\u0634 (SR) \u0648\u0627\u0644\u0631\u064a \u0627\u0644\u0645\u0648\u0641\u0631 \u0644\u0645\u064a\u0627\u0647 \u0627\u0644\u0623\u0631\u0632 (WSI) \u0639\u0644\u0649 \u0627\u0646\u0628\u0639\u0627\u062b \u063a\u0627\u0632\u0627\u062a \u0627\u0644\u062f\u0641\u064a\u0626\u0629 \u0645\u0646 \u062d\u0642\u0648\u0644 \u0627\u0644\u0623\u0631\u0632. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u0641\u0625\u0646 \u0627\u0644\u062f\u0631\u0627\u0633\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u062a\u0628\u0627\u062f\u0644 \u062b\u0627\u0646\u064a \u0623\u0643\u0633\u064a\u062f 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\u0648\u0645\u0624\u0634\u0631 \u0633\u0644\u0627\u0645\u0629 \u0627\u0644\u062a\u0631\u0628\u0629 \u0647\u0648 \u0625\u062c\u0631\u0627\u0621 \u0641\u0639\u0627\u0644 \u0644\u0644\u062d\u0641\u0627\u0638 \u0639\u0644\u0649 \u0627\u0644\u063a\u0644\u0629\u060c \u0648\u0632\u064a\u0627\u062f\u0629 \u0643\u0641\u0627\u0621\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u064a\u0627\u0647 \u0627\u0644\u0631\u064a\u060c \u0648\u0627\u0644\u062a\u062e\u0641\u064a\u0641 \u0645\u0646 \u0627\u0646\u0628\u0639\u0627\u062b\u0627\u062a \u062b\u0627\u0646\u064a \u0623\u0643\u0633\u064a\u062f \u0627\u0644\u0643\u0631\u0628\u0648\u0646\u060c \u0648\u062a\u0639\u0632\u064a\u0632 \u062e\u0635\u0648\u0628\u0629 \u062a\u0631\u0628\u0629 \u0627\u0644\u0623\u0631\u0632.", "keywords": ["Agricultural Irrigation", "Ecosystem respiration", "Adaptation to Climate Change in Agriculture", "Agricultural and Biological Sciences", "Random Allocation", "Soil", "Soil water", "Paddy field", "2. Zero hunger", "Global and Planetary Change", "Primary production", "Ecology", "Respiration", "Q", "R", "Life Sciences", "Soil respiration", "04 agricultural and veterinary sciences", "Soil carbon", "Crop Production", "6. Clean water", "Physical Sciences", "Medicine", "Seasons", "Research Article", "Science", "Soil Science", "Environmental science", "12. Responsible consumption", "Greenhouse Gases", "Fertilizers", "Irrigation", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "Ecosystem", "Soil science", "Conservation of Water Resources", "Soil Fertility", "Global Forest Drought Response and Climate Change", "Botany", "Water", "Oryza", "Carbon Dioxide", "15. Life on land", "Carbon", "Agronomy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0204597"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0204597", "name": "item", "description": "10.1371/journal.pone.0204597", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0204597"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-16T00:00:00Z"}}, {"id": "50|od______1094::2b5089a48dbcec0b32f978e6cf3e0ef3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:20Z", "type": "Report", "title": "Regional targeting of purpose driven wetlands: success or failure?", "description": "In the past 30 years, Swedish EU Rural Development Programme (RDP) financing for constructed wetlands (CWs) had two goals: nutrient reduction and biodiversity conservation. Since 2007, at least 1,718 CWs have been implemented. However, their cost effectiveness has been difficult to assess as defined targets for improvements were lacking. In 2013, Sweden set up regional (county) targets for new CWs to mitigate eutrophication and conserve biodiversity as part of a 6-year plan under the RDP. Here, we investigate if the increase in targeting was effective, in particular if the 15 participating counties achieved their stated goals. We also compare CW characteristics during the regionally targeted period (2014\u20132020) with the preceding untargeted period (2007\u20132013). The results indicate that regional targets were not achieved. Most counties set lower targets for biodiversity conservation than for nutrient reduction. Hence, by 2020 more counties exceeded targets for the former than for the latter. Budget share allocated to the two goals was not decisive, instead the outcome could be attributed to prioritization, budget controls, timing consistency, decision criteria consistency and goal setting. During both periods half of the CWs were funded for each purpose, yet the number of wetlands constructed decreased by 82% in the second period. Landowners may have prioritized biodiversity CWs as construction costs were higher for nutrient retention CWs and costs were mostly not fully covered by the RDP. Furthermore, targets were not budget limited, which meant that county-level allocation of funds could be shifted to finance CWs that did not meet the intended purpose. To increase overall measure effectiveness, we suggest that the distribution of national funds for CWs should be divided between the two purposes identified at the regional level and that reallocation of funds only be permitted in accordance with redefinition at the county level.", "keywords": ["330", "Ecology", "Water Resources", "Oceanography", " Hydrology", " Water Resources", "Hydrology", "Oceanography"], "contacts": [{"organization": "Geranmayeh, Pia, Futter, Martyn, Collentine, Dennis,", "roles": ["creator"]}]}, "links": [{"href": "https://pub.epsilon.slu.se/36463/1/geranmayeh-p-et-al-20250211.pdf"}, {"href": "https://doi.org/50|od______1094::2b5089a48dbcec0b32f978e6cf3e0ef3"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______1094::2b5089a48dbcec0b32f978e6cf3e0ef3", "name": "item", "description": "50|od______1094::2b5089a48dbcec0b32f978e6cf3e0ef3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______1094::2b5089a48dbcec0b32f978e6cf3e0ef3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.1515/logos-2017-0021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:20:57Z", "type": "Journal Article", "created": "2018-01-23", "title": "Hydrogeological investigations of river bed clogging at a river bank filtration site along the River Warta, Poland", "description": "Abstract

River bank filtration (RBF) is a system that enriches groundwater resources by induced infiltration of river water to an aquifer. Problematic during operation of RBF systems is the deterioration of infiltration effectiveness caused by river bed clogging. This situation was observed in the Krajkowo well field which supplies fresh water to the city of Pozna\uffc5\uff84 (Poland) during and after the long hydrological drought between the years 1989 and 1992. The present note discusses results of specific hydrogeological research which included drilling of a net of boreholes to a depth of 10 m below river bottom (for sediment sampling as well as for hydrogeological measurements), analyses of grain size distribution and relative density studies. The results obtained have allowed the recognition of the origin of the clogging processes, as well as the documentation of the clogged parts of the river bottom designated for unclogging activities.

", "keywords": ["QE1-996.5", "cone of depression", "0208 environmental biotechnology", "dynamic water level changes", "0207 environmental engineering", "Geology", "groundwater resources", "02 engineering and technology", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1515/logos-2017-0021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geologos", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1515/logos-2017-0021", "name": "item", "description": "10.1515/logos-2017-0021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1515/logos-2017-0021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-20T00:00:00Z"}}, {"id": "10.15454/2zqkir", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "Science for policy 6: Urban planning: sealing the future of soil functions - datasets?", "description": "Open AccessThis dataset is part of Deliverable and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO6_BAU_NoZoning_50.shp PO6_BAU_NoZoning_100.shp PO6_BAU_Zoning_50.shp PO6_Sprawl_Zoning_50.shp PO6_BAU_NoZoning_50.shp PO6_Compact_Zoning_50.shp PO6_Compact_NoZoning_50.shp The metronamica Model was applied on six scenarios with combinations of business as usual, suburban sprawl or compact city development which build on the socio-economic projections and density assumptions of the ESPON-ET2050 project, and use the land use allocation parameters from the RECARE and SoilCare Integrated Assessment Models. Spatial development (zoning) was for some scenarios restricted in high productive fields. The model results give probabilities (0 \u2013 1) of urban development within the 1 km\u00b2 cells. Based on these probability percentages the different soil functions are reduced (100% of the probability and 50% of the probability) compared to the current soil functioning and, for the 50% scenarios, partly replaced by low productive grasslands as gardens and other public greenery. Z-scores are calculated from the spatial SF maps for each of the environmental zones. These environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Food Safety", "Food Safety and Toxicology", "Nutritional Sciences", "Social Sciences", "7. Clean energy", "Pathology and Forensic Medicine", "Health and Life Sciences", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "Agriculture", " Forestry", " Horticulture", "Human Health and Pathology", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "Hydrology and Hydrogeology", "15. Life on land", "Rural and Agricultural Sociology", "Human Nutrition and food security", "Farming Systems", "Medicine", " Health and Life Sciences", "Earth and Environmental Sciences", "Soil Sciences", "Medicine", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/2zqkir"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/2zqkir", "name": "item", "description": "10.15454/2zqkir", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/2zqkir"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/iw9cwa", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Science for policy 5: Strategic Plans: opportunities to maximise the supply of soil functions but beware trade-offs! \u2013 datasets.", "description": "Open AccessThis dataset is part of Deliverable 4.2, 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO5_Current_SFs_PrimaryProductivity.tiff PO5_Current_SFs_ClimateRegulation.tiff PO5_Current_SFs_WaterRegulation_Drought.tiff PO5_Current_SFs_WaterRegulation_WaterLoggging.tiff PO5_Current_SFs_WaterPurification.tiff PO5_Current_SFs_NutrientCycling.tiff PO5_Current_SFs_Biodiversity.tiff PO5_Current_SFs_EnvZone.shp PO5_Current_SFs_NUTS1.shp PO5_Maximization_ClimateRegulation.shp PO5_Maximization_Drought.shp PO5_Maximization_NCycling.shp PO5_Maximization_PrimaryProductivity.shp PO5_Maximization_Waterlogging.shp PO5_Maximization_Waterpurification.shp PO5_Maximization_Waterpurification.shp The tiff-files give the spatial variation in soil function performance for 6 soil functions in in agricultural soils across the EU. The soil functions were mapped by applying a number of crop specific Bayesian networks on a combination of spatial maps which describe soil properties, climate, land use and land management on agricultural soils throughout the European Union. PO5_Current_SFs_EnvZone.shp and PO5_Current_SFs_NUTS1.shp give the z-scores for both grasslands and cropland in 12 environmental zones for the six soil functions. The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. These values were extracted from the tiff-files provided in this dataset. The PO5_Maximization shapefiles give an estimation of the change in soil function performance across the EU when one soil function is maximized through changes in management. This spatial variation is represented in change in z-scores compared to the current SF supply. To develop the scenario, for each of the locations, the soil function was maximized in the underlying Bayesian networks, by allowing it to change different types of management (irrigation, fertilizer, etc.) for each location taking soil, climate and crop type into account. These changes also impact the performance of the other soil functions. For each of the soil functions a separate spatial map was created. Which was then used to calculate z-scores for each of the environmental zones. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., J. Staes, R. Schulte, L. O\u2019Sullivan, E. Lugato, A. Jones, A. Georgoulas and P. Meire (2018). Soil function supply maps. LANDMARK Report 4.2. Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Water resources", "Soils and soil sciences", "Ecology", "Agricultural Sciences", "Climate", "Hydrology and Hydrogeology", "15. Life on land", "Farming Systems", "Biodiversity and Ecology", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/iw9cwa"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/iw9cwa", "name": "item", "description": "10.15454/iw9cwa", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/iw9cwa"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/srhcuh", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Science for policy 1: FaST hidden benefits: needs based targeting of cleaner water through better use of nutrients - datasets", "description": "Open AccessThis dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefile: PO1_GAEC5.shp The shapefile gives an estimation of the change in soil function performance across the EU in agricultural soils after implementation of the GAEC5 under the proposed CAP. This spatial variation is represented in change in z-scores compared to the current supply on a NUTS1 level. To implement the scenario, for each crop within each environmental zone the 20% area with the lowest values of the N Cycling indicator are selected from the current SF supply map and this indicator is increased to the lowest values in the other 80% of the same crop \u2013 environmental zone combination. In a second step, for each crop within each environmental zone the 20% area with the lowest values of the water purification indicator from the current SF supply map are selected and this indicator is increased to the lowest values in the other 80% of the crop \u2013 environmental zone combination, while maintaining the N Cycling improvements. This simulates potential improvements in both N Cycling and water purification due to the implementation of the Farm Sustainability Tool for Nutrients (GAEC 5) Z-scores are calculated from the spatial SF maps for each of the NUTS1 zones. The z-scores give the signed fractional number of standard deviations by which SF means for a NUTS1 zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["2. Zero hunger", "Water resources", "Soils and soil sciences", "Agricultural Sciences", "6. Clean water", "Hydrology and Hydrogeology", "15. Life on land", "Farming Systems", "12. Responsible consumption", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, O\u2019Sullivan, Lilian, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, Wall, David,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/srhcuh"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/srhcuh", "name": "item", "description": "10.15454/srhcuh", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/srhcuh"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1659/mrd.00007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:13Z", "type": "Journal Article", "created": "2009-12-11", "title": "The Hydrology Of Tropical Andean Ecosystems: Importance, Knowledge Status, And Perspectives", "description": "Open AccessCet article met en \u00e9vidence la valeur \u00e9conomique et \u00e9cologique des syst\u00e8mes de ressources en eau de la r\u00e9gion foresti\u00e8re de p\u00e1ramo et de montagne de l'\u00c9quateur et donne une description, bas\u00e9e sur une enqu\u00eate de la litt\u00e9rature r\u00e9cente, des m\u00e9canismes contr\u00f4lant le processus de ruissellement des pr\u00e9cipitations et de la fa\u00e7on dont les changements dans l'utilisation des terres modifient la transformation. L'examen r\u00e9v\u00e8le que la compr\u00e9hension disponible est partielle, le r\u00e9sultat d'efforts de recherche individuels et isol\u00e9s, et est entrav\u00e9e par un manque d'ensembles de donn\u00e9es complets et coh\u00e9rents \u00e0 long terme. Les connaissances disponibles ne permettent pas encore d'augmenter ou de r\u00e9duire l'\u00e9chelle des r\u00e9sultats. L'article conclut en (1) citant certaines des principales lacunes qui entravent la compr\u00e9hension hydrologique des \u00e9cosyst\u00e8mes andins tropicaux et (2) proposant des recommandations pour acc\u00e9l\u00e9rer la compr\u00e9hension et l'\u00e9laboration de politiques et de mesures visant \u00e0 garantir un d\u00e9veloppement \u00e9cologiquement s\u00fbr et durable des \u00e9cosyst\u00e8mes aquatiques fragiles de la r\u00e9gion andine tropicale de l'\u00c9quateur.", "keywords": ["Resource (disambiguation)", "0207 environmental engineering", "Optimal Operation of Water Resources Systems", "Ocean Engineering", "02 engineering and technology", "Environmental science", "Engineering", "Tropical forest", "Downscaling", "Climate change", "Hydro-Economic Models", "Environmental resource management", "Biology", "Ecosystem", "Water Science and Technology", "Computer network", "Geography", "Ecology", "15. Life on land", "Computer science", "6. Clean water", "Hydrological Modeling and Water Resource Management", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences"]}, "links": [{"href": "https://doi.org/10.1659/mrd.00007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mountain%20Research%20and%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1659/mrd.00007", "name": "item", "description": "10.1659/mrd.00007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1659/mrd.00007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-11-01T00:00:00Z"}}, {"id": "10568/97603", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:01Z", "type": "Journal Article", "created": "2018-07-04", "title": "A framework for scaling sustainable land management options", "description": "Abstract

Improvements in land use and management are needed at a global scale to tackle interconnected global challenges of population growth, poverty, migration, climate change, biodiversity loss, and degrading land and water resources. There are hundreds of technical options for improving the sustainability of land management and preventing or reversing degradation, but there are many sociocultural, institutional, economic, and policy barriers hindering their adoption at large scale. To tackle this challenge, the Dryland Systems Program of the Consultative Group for International Agricultural Research and the UN Convention to Combat Desertification convened an expert group to consider barriers and incentives to scaling technologies, processes, policies, or institutional arrangements. The group reviewed existing frameworks for scaling sustainable land management (SLM) interventions across a range of contexts and identified eight critical actions for success: (a) plan iteratively; (b) consistently fund; (c) select SLM options for scaling based on best available evidence; (d) identify and engage with stakeholders at all scales; (e) build capacity for scaling; (f) foster institutional leadership and policy change to support scaling; (g) achieve early benefits and incentives for as many stakeholders as possible; and (h) monitor, evaluate, and communicate. Incentives for scaling were identified for the private sector, farmers and their communities, and policy makers. Based on these findings, a new action framework for scaling is presented that analyses the contexts where specific SLM interventions can be scaled, so that SLM options can be screened and adapted to these contexts, piloted and disseminated. The framework can help countries achieve land degradation neutrality.

Chengde city is located in the agro\u2013pastoral transitional zone in northern China near the capital city of Beijing, which has experienced large-scale ecological construction in the past three decades. This study quantitatively assessed the environmental changes in Chengde through observation records of water resources, water environment, atmospheric environment, and vegetation activity and investigated the possible causes. From the late 1950s to 2002, the streamflow presented a downward trend induced by climate variability and human activities, with contribution ratios of 33.2% and 66.8%, respectively. During 2001\u20132012, the days of levels I and II air quality presented clear upward trends. Moreover, the air pollutant concentration was relatively low compared with that in the adjacent areas, which means the air quality has improved more than that in the neighboring areas. The water quality, which deteriorated during 1993\u20132000, began to improve in 2002. The air and water quality changes were closely related to pollutant emissions induced by anthropogenic activities. During 1982\u20132012, the vegetation in the southeastern and central regions presented restoration trends, whereas that in the northwestern area showed degradation trends. The pixels with obvious degradation trends correlated significantly with annual mean temperature and annual precipitation. Ecological engineering also played a positive role in vegetation restoration. This analysis can be beneficial to environment managers in the active response and adaptation to the possible effects of future climate change, population growth, and industrial development and can be used to ensure sustainable development and environmental safety.

", "keywords": ["China", "Conservation of Natural Resources", "Climate", "Climate Change", "0207 environmental engineering", "Agriculture", "Environmental Exposure", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Article", "6. Clean water", "12. Responsible consumption", "Soil", "agro\u2013pastoral transitional zone; water resource; water environment; atmospheric environment; vegetation activity", "13. Climate action", "Air Pollution", "11. Sustainability", "Water Resources", "Humans", "Policy Making", "Public Health Administration", "Ecosystem", "Environmental Monitoring", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Fei Wang, Fei Wang, Chong Jiang, Chong Jiang, Chong Jiang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/13/2/165/pdf"}, {"href": "https://doi.org/10.3390/ijerph13020165"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijerph13020165", "name": "item", "description": "10.3390/ijerph13020165", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijerph13020165"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-28T00:00:00Z"}}, {"id": "10.3390/rs13183789", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:22:43Z", "type": "Journal Article", "created": "2021-09-22", "title": "Optimizing the Sowing Date to Improve Water Management and Wheat Yield in a Large Irrigation Scheme, through a Remote Sensing and an Evolution Strategy-Based Approach", "description": "

This study aims to investigate the effects of an optimized sowing calendar for wheat over a surface irrigation scheme in the semi-arid region of Haouz (Morocco) on irrigation water requirements, crop growth and development and on yield. For that, a scenario-based simulation approach based on the covariance matrix adaptation\uffe2\uff80\uff93evolution strategy (CMA-ES) was proposed to optimize both the spatiotemporal distribution of sowing dates and the irrigation schedules, and then evaluate wheat crop using the 2011\uffe2\uff80\uff932012 growing season dataset. Six sowing scenarios were simulated and compared to identify the most optimal spatiotemporal sowing calendar. The obtained results showed that with reference to the existing sowing patterns, early sowing of wheat leads to higher yields compared to late sowing (from 7.40 to 5.32 t/ha). Compared with actual conditions in the study area, the spatial heterogeneity is highly reduced, which increased equity between farmers. The results also showed that the proportion of plots irrigated in time can be increased (from 40% to 82%) compared to both the actual irrigation schedules and to previous results of irrigation optimization, which did not take into consideration sowing dates optimization. Furthermore, considerable reduction of more than 40% of applied irrigation water can be achieved by optimizing sowing dates. Thus, the proposed approach in this study is relevant for irrigation managers and farmers since it provides an insight on the consequences of their agricultural practices regarding the wheat sowing calendar and irrigation scheduling and can be implemented to recommend the best practices to adopt.

", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "0106 biological sciences", "evolutionary algorithm", "grain yield", "Science", "Q", "04 agricultural and veterinary sciences", "seeding date", "15. Life on land", "water resources", "01 natural sciences", "630", "6. Clean water", "irrigation scheduling", "wheat", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "seeding date; irrigation scheduling; evolutionary algorithm; optimization; water resources; wheat; grain yield", "optimization", "water re- sources"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/18/3789/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/18/3789/pdf"}, {"href": "https://doi.org/10.3390/rs13183789"}, {"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/rs13183789", "name": "item", "description": "10.3390/rs13183789", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13183789"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-21T00:00:00Z"}}, {"id": "10.3390/w14081188", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:22:49Z", "type": "Journal Article", "created": "2022-04-10", "title": "Estimating Yield from NDVI, Weather Data, and Soil Water Depletion for Sugar Beet and Potato in Northern Belgium", "description": "

Crop-yield models based on vegetation indices such as the normalized difference vegetation index (NDVI) have been developed to monitor crop yield at higher spatial and temporal resolutions compared to agricultural statistical data. We evaluated the model performance of NDVI-based random forest models for sugar beet and potato farm yields in northern Belgium during 2016\u20132018. We also evaluated whether weather variables and root-zone soil water depletion during the growing season improved the model performance. The NDVI integral did not explain early and late potato yield variability and only partly explained sugar-beet yield variability. The NDVI series of early and late potato crops were not sensitive enough to yield affecting weather and soil water conditions. We found that water-saturated conditions early in the growing season and elevated temperatures late in the growing season explained a large part of the sugar-beet and late-potato yield variability. The NDVI integral in combination with monthly precipitation, maximum temperature, and root-zone soil water depletion during the growing season explained farm-scale sugar beet (R2 = 0.84, MSE = 48.8) and late potato (R2 = 0.56, MSE = 57.3) yield variability well from 2016 to 2018 in northern Belgium.

", "keywords": ["AquaCrop-OSPy", "STRESS", "root-zone soil water depletion; AquaCrop-OSPy; sugar beet; potato; crop yield; NDVI; Belgium; weather impact; random forest", "NDVI", "Environmental Sciences & Ecology", "root-zone soil water depletion", "01 natural sciences", "Belgium", "INDEX", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "PRODUCTIVITY", "CROP", "sugar beet", "weather impact", "04 agricultural and veterinary sciences", "crop yield", "WINTER-WHEAT", "15. Life on land", "MODEL", "Physical Sciences", "Water Resources", "potato", "0401 agriculture", " forestry", " and fisheries", "Life Sciences & Biomedicine", "Environmental Sciences", "random forest"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/14/8/1188/pdf"}, {"href": "https://www.mdpi.com/2073-4441/14/8/1188/pdf"}, {"href": "https://doi.org/10.3390/w14081188"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w14081188", "name": "item", "description": "10.3390/w14081188", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w14081188"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:46Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "

Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.

", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8"}, {"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": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "name": "item", "description": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10261/277923", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "

Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.

", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://biblio.vub.ac.be/vubirfiles/86261359/Busschaert_etal_2022_HESS.pdf"}, {"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/10261/277923"}, {"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": "10261/277923", "name": "item", "description": "10261/277923", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277923"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10261/220255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:46Z", "type": "Journal Article", "created": "2020-01-09", "title": "SHui, an EU-Chinese cooperative project to optimize soil and water management in agricultural areas in the XXI century", "description": "Open AccessThis work has been supported by Project SHui which is co-funded by the European Union Project GA 773903 and the Chinese MOST. This work has been supported by P12-AGR-0931 (Andalusian Government), RTA2014-00063- C04-03 (Spanish government), SHui (European Commission Grant Agreement number: 773903) and EU\u2012FEDER funds", "keywords": ["Yield", "550", "EROSION", "FLOW", "Cropping", "SIMULATE YIELD RESPONSE", "Soil Science", "Environmental Sciences & Ecology", "RICE YIELDS", "01 natural sciences", "630", "12. Responsible consumption", "4104 Environmental management", "4105 Pollution and contamination", "DRYING IRRIGATION", "11. Sustainability", "FAO CROP MODEL", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "1. No poverty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Engineering (General). Civil engineering (General)", "6. Clean water", "4106 Soil sciences", "Cooperation", "Sustainability", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Life Sciences & Biomedicine", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/10261/220255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/220255", "name": "item", "description": "10261/220255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/220255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "10261/350658", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:51Z", "type": "Journal Article", "created": "2024-03-07", "title": "Decreasing Photoreactivity and Concurrent Change in Dissolved Organic Matter Composition With Increasing Inland Water Residence Time", "description": "Abstract

Photochemical degradation of dissolved organic matter (DOM) has been the subject of numerous studies; however, its regulation along the inland water continuum is still unclear. We aimed to unravel the DOM photoreactivity and concurrent DOM compositional changes across 30 boreal aquatic ecosystems including peat waters, streams, rivers, and lakes distributed along a water residence time (WRT) gradient. Samples were subjected to a standardized exposure of simulated sunlight. We measured the apparent quantum yield (AQY), which corresponds to DOM photomineralization per photon absorbed, and the compositional change in DOM at bulk and individual compound levels in the original samples and after irradiation. AQY increased with the abundance of terrestrially derived DOM and decreased at higher WRT. Additionally, the photochemical changes in both DOM optical properties and molecular composition resembled changes along the natural boreal WRT gradient at low WRT (<3\uffc2\uffa0years). Accordingly, mass spectrometry revealed that the abundance of photolabile and photoproduced molecules decreased with WRT along the boreal aquatic continuum. Our study highlights the tight link between DOM composition and DOM photodegradation. We suggest that photodegradation is an important driver of DOM composition change in waters with low WRT, where DOM is highly photoreactive.Dissolved organic matter (DOM) composition exerts a direct control on its degradation and subsequent persistence in aquatic ecosystems. Yet, under certain conditions, the degradation patterns of DOM cannot be solely explained by its composition, highlighting the relevance of environmental conditions for DOM degradation. Here, we experimentally assessed the relative influence of composition vs. environment on DOM degradation by performing degradation bioassays using three contrasting DOM sources inoculated with a standardized bacterial inoculum under five distinct environments. The DOM degradation kinetics modeled using reactivity continuum models showed that composition was more important than environment in determining the bulk DOM decay patterns. Changes in DOM composition resulted from the interaction between DOM source and environment. The role of environment was stronger on shaping the bacterial community composition, but the intrinsic nature of the DOM source exerted stronger control on the DOM degradation function.

The United Nations Sustainable Development Goal 6 aims for clean water and sanitation for all by 2030, through eight subgoals dealing with four themes: (i) water quantity and availability, (ii) water quality, (iii) finding sustainable solutions and (iv) policy and governance. In this opinion paper, we assess how soils and associated land and water management can help achieve this goal, considering soils at two scales: local soil health and healthy landscapes. The merging of these two viewpoints shows the interlinked importance of the two scales. Soil health reflects the capacity of a soil to provide ecosystem services at a specific location, taking into account local climate and soil conditions. Soil is also an important component of a healthy and sustainable landscape, and they are connected by the water that flows through the soil and the transported sediments. Soils are linked to water in two ways: through plant-available water in the soil (green water) and through water in surface bodies or available as groundwater (blue water). In addition, water connects the soil scale and the landscape scale by flowing through both. Nature-based solutions at both soil health and landscape-scale can help achieve sustainable future development but need to be embedded in good governance, social acceptance and economic viability.

This article is part of the theme issue \u2018The role of soils in delivering Nature's Contributions to People\u2019.

", "keywords": ["Climate", "Sustainable Development Goals", "01 natural sciences", "12. Responsible consumption", "Soil", "Water Quality", "11. Sustainability", "SDG 6", "nature-based solutions", "Ecosystem", "SDG 3", "0105 earth and related environmental sciences", "2. Zero hunger", "SDG 17", "Conservation of Water Resources", "soil health", "1. No poverty", "04 agricultural and veterinary sciences", "15. Life on land", "SDG 12", "6. Clean water", "13. Climate action", "Sustainable Development Goal 6", "connectivity", "blue and green water", "0401 agriculture", " forestry", " and fisheries", "ecosystem services"]}, "links": [{"href": "https://doi.org/1959.13/1492918"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.13/1492918", "name": "item", "description": "1959.13/1492918", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.13/1492918"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-04T00:00:00Z"}}, {"id": "11579/142540", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:14Z", "type": "Journal Article", "created": "2021-06-10", "title": "Carbon dioxide fluxes increase from day to night across European streams", "description": "Abstract

Globally, inland waters emit over 2 Pg of carbon per year as carbon dioxide, of which the majority originates from streams and rivers. Despite the global significance of fluvial carbon dioxide emissions, little is known about their diel dynamics. Here we present a large-scale assessment of day- and night-time carbon dioxide fluxes at the water-air interface across 34 European streams. We directly measured fluxes four times between October 2016 and July 2017 using drifting chambers. Median fluxes are 1.4 and 2.1\uffe2\uff80\uff89mmol\uffe2\uff80\uff89m\uffe2\uff88\uff922 h\uffe2\uff88\uff921 at midday and midnight, respectively, with night fluxes exceeding those during the day by 39%. We attribute diel carbon dioxide flux variability mainly to changes in the water partial pressure of carbon dioxide. However, no consistent drivers could be identified across sites. Our findings highlight widespread day-night changes in fluvial carbon dioxide fluxes and suggest that the time of day greatly influences measured carbon dioxide fluxes across European streams.

Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.

", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "SMOS BRIGHTNESS TEMPERATURE", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Geology", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "HEIHE RIVER-BASIN", "Earth and Planetary Sciences", "Physical Sciences", "Water Resources", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "0406 Physical Geography and Environmental Geoscience", "name=Earth and Planetary Sciences (miscellaneous)", "3709 Physical geography and environmental geoscience", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "SPATIAL VARIABILITY", "IN-SITU MEASUREMENTS", "0207 environmental engineering", "Epistemology", "0905 Civil Engineering", "Environmental science", "G", "Database", "LAND DATA ASSIMILATION", "Soil Moisture; network", "WIRELESS SENSOR NETWORK", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Consecutive dry days", "LEAF-AREA INDEX", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "ANTECEDENT WETNESS CONDITIONS", "Globe", "Computer science", "Environmental sciences", "QE Geology", "0907 Environmental Engineering", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "4013 Geomatic engineering", "soil moisture", "CONSECUTIVE DRY DAYS", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/11585/910145"}, {"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": "11585/910145", "name": "item", "description": "11585/910145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/910145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "11590/469721", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:17Z", "type": "Journal Article", "created": "2023-08-03", "title": "Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland", "description": "Soil erosion is a complex process involving multiple natural and anthropic agents, causing the deterioration of multiple components comprising soil health. Here, we provide an estimate of the spatial patterns of cropland susceptibility to erosion by sheet and rill, gully, wind, tillage, and root crops harvesting and report the co-occurrence of these processes using a multi-model approach. In addition, to give a global overview of potential future changes, we identify the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56\u00a0B\u00a0ha (\u223c36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27\u00a0B\u00a0ha (\u223c18% of the total area) to two processes and 0.02\u00a0B\u00a0ha (1.4% of the total area) to three or more processes. An estimated 0.82\u00a0B\u00a0ha of croplands are susceptible to possible increases in water (0.68\u00a0B\u00a0ha) and wind (0.14\u00a0B\u00a0ha) erosion. We contend that the presented set of estimates represents a basis for enhancing our foundational knowledge on the geography of soil erosion at the global scale. The generated insight on multiple erosion processes can be a useful starting point for decision-makers working with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 (Life on Land) activities. Scientifically, this work provides the hitherto most comprehensive assessment of soil erosion risks at the global scale, based on state-of-the-art models.", "keywords": ["550", "IMPACT", "[SDV]Life Sciences [q-bio]", "multi-model approach", "Wind", "SEDIMENT", "Gully", "11. Sustainability", "info:eu-repo/classification/udc/631.4", "2. Zero hunger", "Multi-model approach", "Modelling; Multi-model approach; Water; Wind; Gully; Tillage; Crop harvesting", "Agriculture", "multi-modelski pristop", "Engineering (General). Civil engineering (General)", "4106 Soil sciences", "[SDV] Life Sciences [q-bio]", "gully", "veter", "Physical Sciences", "Water Resources", "tillage", "TA1-2040", "Life Sciences & Biomedicine", "pobiranje pridelka", "water", "Soil Science", "Environmental Sciences & Ecology", "Modelling", "Tillage", "modelling", "4104 Environmental management", "4105 Pollution and contamination", "EUROPEAN-UNION", "modeliranje", "jarkovna erozija", "wind", "AGRICULTURAL SOIL-EROSION", "Science & Technology", "WATER EROSION", "500", "Water", "15. Life on land", "Crop harvesting", "13. Climate action", "voda", "crop harvesting", "Environmental Sciences", "erozija zaradi obdelave tal", "WIND EROSION"]}, "links": [{"href": "https://doi.org/11590/469721"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11590/469721", "name": "item", "description": "11590/469721", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11590/469721"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "1854/LU-01JKX2FJKXN38WB8P6CAQC7AEH", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:26Z", "type": "Journal Article", "created": "2022-09-16", "title": "Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication", "description": "

The beginning of the 21st century is marked by a rapid growth of land surface satellite data and model sophistication. This offers new opportunities to estimate multiple components of the water cycle via satellite-based land data assimilation (DA) across multiple scales. By resolving more processes in land surface models and by coupling the land, the atmosphere, and other Earth system compartments, the observed information can be propagated to constrain additional unobserved variables. Furthermore, access to more satellite observations enables the direct constraint of more and more components of the water cycle that are of interest to end users. However, the finer level of detail in models and data is also often accompanied by an increase in dimensions, with more state variables, parameters, or boundary conditions to estimate, and more observations to assimilate. This requires advanced DA methods and efficient solutions. One solution is to target specific observations for assimilation based on a sensitivity study or coupling strength analysis, because not all observations are equally effective in improving subsequent forecasts of hydrological variables, weather, agricultural production, or hazards through DA. This paper offers a perspective on current and future land DA development, and suggestions to optimally exploit advances in observing and modeling systems.

Abstract. The Canadian Fire Weather Index (FWI) system, even though originally developed and calibrated for an upland Jack pine forest, is used globally to estimate fire danger for any fire environment. However, for some environments, such as peatlands, the applicability of the FWI in its current form, is often questioned. In this study, we replaced the original moisture codes of the FWI with hydrological estimates resulting from the assimilation of satellite-based L-band passive microwave observations into a peatland-specific land surface model. In a conservative approach that maintains the integrity of the original FWI structure, the distributions of the hydrological estimates were first matched to those of the corresponding original moisture codes before replacement. The resulting adapted FWI, hereafter called FWIpeat, was evaluated using satellite-based information on fire presence over boreal peatlands from 2010 through 2018. Adapting the FWI with model- and satellite-based hydrological information was found to be beneficial in estimating fire danger, especially when replacing the deeper moisture codes of the FWI. For late-season fires, further adaptations of the fine fuel moisture code show even more improvement due to the fact that late-season fires are more hydrologically driven. The proposed FWIpeat should enable improved monitoring of fire risk in boreal peatlands.

", "keywords": ["CARBON SINK", "Environmental technology. Sanitary engineering", "01 natural sciences", "G", "4406 Human geography", "Geography. Anthropology. Recreation", "Meteorology & Atmospheric Sciences", "GE1-350", "ALGORITHM", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "QE1-996.5", "Science & Technology", "CLIMATE-CHANGE", "Strategic", " Defence & Security Studies", "CONSUMPTION", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "Environmental sciences", "SEVERITY", "0403 Geology", "0911 Maritime Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://nhess.copernicus.org/articles/24/445/2024/nhess-24-445-2024.pdf"}, {"href": "https://doi.org/1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Natural%20Hazards%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "name": "item", "description": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-09T00:00:00Z"}}, {"id": "20.500.11769/552491", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:40Z", "type": "Journal Article", "created": "2022-08-18", "title": "Assessing almond response to irrigation and soil management practices using vegetation indexes time-series and plant water status measurements", "description": "Current water scarcity scenario has led to the implementation of sustainable agricultural practices intended to improve water use efficiency. The present work evaluates during three agricultural campaigns (2018-2020) the response of a young almond orchard to two management practices in terms by combining remote sensing indexes (Normalized Difference Vegetation Index, NDVI; and Soil Adjusted Vegetation Indexes, SAVI) and physiological/ morphological measurement (stem water potential, \u03a8stem; trunk perimeter and canopy diameter). The management practices included (I) sustained deficit irrigation and (II) soil management. Severe deficit irrigation resulted in lower vegetation indexes (VI) values, \u03a8stem and tree dimensions (13 %, 23 % and 14 % lower, respectively) than those obtained for full irrigation strategy; whereas moderate deficit irrigation did not affect any of the parameters analysed. The presence of vegetation cover in the inter-row resulted in a VIs increase (19-42 %) and in lower tree dimensions (reductions of 7-8 % for trunk perimeter and 0.34-0.37 m for canopy diameter) when compared to bare soil treatment, but did not have any influence on \u03a8stem. The present study proves the suitability of remote sensing and physiological measurements for assessing almond response to the different management practices.", "keywords": ["0106 biological sciences", "Soil management", "Almonds", "F06 Irrigation", "01 natural sciences", "12. Responsible consumption", "Vegetation index", "Sentinel 2", "Remote sensing sustainable agriculture", "P33 Soil chemistry and physics", "F40 Plant ecology", "2. Zero hunger", "precision agriculture", "Precision agriculture", "Sustainable agriculture", "Water use efficiency", "Vegetation cover", "F07 Soil cultivation", "04 agricultural and veterinary sciences", "Remote sensing", "15. Life on land", "Tree canopy", "F60 Plant physiology and biochemistry", "6. Clean water", "Water management", "P30 Soil science and management", "P10 Water resources and management", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/552491/2/Agriculture%2c%20ecosystems%20and%20environment%202022.pdf"}, {"href": "https://doi.org/20.500.11769/552491"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11769/552491", "name": "item", "description": "20.500.11769/552491", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11769/552491"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-01T00:00:00Z"}}, {"id": "20.500.11850/688246", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:44Z", "type": "Journal Article", "created": "2024-07-29", "title": "Hydro-pedotransfer functions: a roadmap for future development", "description": "

Abstract. Hydro-pedotransfer functions\u00a0(PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties\u00a0(SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards\u2013Richardson equation are mostly limited to predicting parameters of the van\u00a0Genuchten\u2013Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium\u00a0(ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research.

", "keywords": ["Technology", "550", "Bodenanalyse", "Modell", "SPHAGNUM MOSS", "Environmental technology. Sanitary engineering", "630", "Ing\u00e9nierie", " informatique & technologie", "Biogeochemical process", "Earth and Planetary Sciences (miscellaneous)", "Geography. Anthropology. Recreation", "GE1-350", "SATURATED HYDRAULIC CONDUCTIVITY", "Geosciences", " Multidisciplinary", "TD1-1066", "Water Science and Technology", "2. Zero hunger", "T", "Geology", "Hydraulics effects", "Agriculture & agronomy", "Life sciences", "Daten", "Pedo-transfer functions", "6. Clean water", "Soil hydraulics", "REFLECTANCE SPECTROSCOPY", "Roadmap", "Physical Sciences", "Sciences du vivant", "Water Resources", "SOIL-WATER-RETENTION", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience", "Process-based modeling", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "PHYSICAL-PROPERTIES", "SENSITIVITY-ANALYSIS", "Soil hydraulic properties", "0905 Civil Engineering", "333", "G", "Physical", " chemical", " mathematical & earth Sciences", "Empirical model", "Agriculture & agronomie", "Life Science", "UNSATURATED CONDUCTIVITY", "SEASONAL-CHANGES", "Pedotransfer functions", "HYSTERETIC MOISTURE PROPERTIES", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Physikochemische Bodeneigenschaft", "500", "15. Life on land", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "Earth sciences & physical geography", "HETEROGENEOUS SOILS", "4013 Geomatic engineering", "ITC-GOLD", "Hydrological process"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/321088/1/hess-28-3391-2024.pdf"}, {"href": "https://hess.copernicus.org/articles/28/3391/2024/hess-28-3391-2024.pdf"}, {"href": "https://doi.org/20.500.11850/688246"}, {"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": "20.500.11850/688246", "name": "item", "description": "20.500.11850/688246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/688246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-29T00:00:00Z"}}, {"id": "21.11116/0000-0006-8251-B", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:52Z", "type": "Journal Article", "created": "2020-06-05", "title": "An international laboratory comparison of dissolved organic matter composition by high resolution mass spectrometry: Are we getting the same answer?", "description": "Abstract

High\uffe2\uff80\uff90resolution mass spectrometry (HRMS) has become a vital tool for dissolved organic matter (DOM) characterization. The upward trend in HRMS analysis of DOM presents challenges in data comparison and interpretation among laboratories operating instruments with differing performance and user operating conditions. It is therefore essential that the community establishes metric ranges and compositional trends for data comparison with reference samples so that data can be robustly compared among research groups. To this end, four identically prepared DOM samples were each measured by 16 laboratories, using 17 commercially purchased instruments, using positive\uffe2\uff80\uff90ion and negative\uffe2\uff80\uff90ion mode electrospray ionization (ESI) HRMS analyses. The instruments identified ~1000 common ions in both negative\uffe2\uff80\uff90 and positive\uffe2\uff80\uff90ion modes over a wide range of m/z values and chemical space, as determined by van Krevelen diagrams. Calculated metrics of abundance\uffe2\uff80\uff90weighted average indices (H/C, O/C, aromaticity, and m/z) of the commonly detected ions showed that hydrogen saturation and aromaticity were consistent for each reference sample across the instruments, while average mass and oxygenation were more affected by differences in instrument type and settings. In this paper we present 32 metric values for future benchmarking. The metric values were obtained for the four different parameters from four samples in two ionization modes and can be used in future work to evaluate the performance of HRMS instruments.

A community effort is needed to move soil modeling forward.

Establishing an international soil modeling consortium is key in this respect.

There is a need to better integrate existing knowledge in soil models.

Integration of data and models is a key challenge in soil modeling.

The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.

", "keywords": ["organic-matter dynamics", "550", "Sciences de l\u2019environnement & \u00e9cologie", "QH301 Biology", "Knowledge management", "0208 environmental biotechnology", "ECOSYSTEM SERVICES", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "Biological process", "ANZSRC::3707 Hydrology", "DROUGHT SEVERITY INDEX", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "Climate change", "0503 Soil Sciences", "GROUND-PENETRATING RADAR", "Integration of knowledge", "Life sciences", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "Physical Sciences", "Water Resources", "Knowledge and experience", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Scientific discipline", "0703 Crop and Pasture Production", "0207 environmental engineering", "Soil Science", "soil science", "ORGANIC-MATTER DYNAMICS", "DATA ASSIMILATION", "Physical", " chemical", " mathematical & earth Sciences", "ANZSRC::0503 Soil Sciences", "Science disciplines", "PEDOTRANSFER FUNCTIONS", "Feedback mechanisms", "mod\u00e9lisation", "ground-penetrating radar", "Science & Technology", "ANZSRC::080110 Simulation and Modelling", "15. Life on land", "Sciences de la terre & g\u00e9ographie physique", "multiple ecosystem services", "root water-uptake", "Observation and measurement", "DIGITAL ELEVATION MODEL", "Quality of predictions", "SATURATED-UNSATURATED FLOW", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "HYDRAULIC-PROPERTIES", "2. Zero hunger", "Agriculture", "diffuse-reflectance spectroscopy", "4106 Soil sciences", "ORGANIC-MATTER", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Sciences du vivant", "Uncertainty analysis", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Crop and Pasture Production", "101028 Mathematical modelling", "international soil modeling consortium", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences & Ecology", "arbuscular mycorrhizal fungi", "Ecosystems", "Climate models", "QH301", "Environmental sciences & ecology", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "3707 Hydrology", "soil modeling", "ROOT WATER-UPTAKE", "SOLUTE TRANSPORT", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "Earth sciences & physical geography", "Soils", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "Environmental Sciences", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics."]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/263634/1/Vereecken%20VZJ%202016.pdf"}, {"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/2164/6134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/6134", "name": "item", "description": "2164/6134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/6134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "2283178374", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:01Z", "type": "Journal Article", "created": "2016-01-28", "title": "Environmental Change in the Agro-Pastoral Transitional Zone, Northern China: Patterns, Drivers, and Implications", "description": "

Chengde city is located in the agro\u2013pastoral transitional zone in northern China near the capital city of Beijing, which has experienced large-scale ecological construction in the past three decades. This study quantitatively assessed the environmental changes in Chengde through observation records of water resources, water environment, atmospheric environment, and vegetation activity and investigated the possible causes. From the late 1950s to 2002, the streamflow presented a downward trend induced by climate variability and human activities, with contribution ratios of 33.2% and 66.8%, respectively. During 2001\u20132012, the days of levels I and II air quality presented clear upward trends. Moreover, the air pollutant concentration was relatively low compared with that in the adjacent areas, which means the air quality has improved more than that in the neighboring areas. The water quality, which deteriorated during 1993\u20132000, began to improve in 2002. The air and water quality changes were closely related to pollutant emissions induced by anthropogenic activities. During 1982\u20132012, the vegetation in the southeastern and central regions presented restoration trends, whereas that in the northwestern area showed degradation trends. The pixels with obvious degradation trends correlated significantly with annual mean temperature and annual precipitation. Ecological engineering also played a positive role in vegetation restoration. This analysis can be beneficial to environment managers in the active response and adaptation to the possible effects of future climate change, population growth, and industrial development and can be used to ensure sustainable development and environmental safety.

", "keywords": ["China", "Conservation of Natural Resources", "Climate", "Climate Change", "0207 environmental engineering", "Agriculture", "Environmental Exposure", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Article", "6. Clean water", "12. Responsible consumption", "Soil", "agro\u2013pastoral transitional zone; water resource; water environment; atmospheric environment; vegetation activity", "13. Climate action", "Air Pollution", "11. Sustainability", "Water Resources", "Humans", "Policy Making", "Public Health Administration", "Ecosystem", "Environmental Monitoring", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Fei Wang, Fei Wang, Chong Jiang, Chong Jiang, Chong Jiang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/13/2/165/pdf"}, {"href": "https://doi.org/2283178374"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2283178374", "name": "item", "description": "2283178374", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2283178374"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-28T00:00:00Z"}}, {"id": "3000130041", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:27Z", "type": "Journal Article", "created": "2020-01-10", "title": "SHui, an EU-Chinese cooperative project to optimize soil and water management in agricultural areas in the XXI century", "description": "Open AccessThis work has been supported by Project SHui which is co-funded by the European Union Project GA 773903 and the Chinese MOST. This work has been supported by P12-AGR-0931 (Andalusian Government), RTA2014-00063- C04-03 (Spanish government), SHui (European Commission Grant Agreement number: 773903) and EU\u2012FEDER funds", "keywords": ["Yield", "550", "EROSION", "FLOW", "Cropping", "SIMULATE YIELD RESPONSE", "Soil Science", "Environmental Sciences & Ecology", "RICE YIELDS", "01 natural sciences", "630", "12. Responsible consumption", "4104 Environmental management", "4105 Pollution and contamination", "DRYING IRRIGATION", "11. Sustainability", "FAO CROP MODEL", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "1. No poverty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Engineering (General). Civil engineering (General)", "6. Clean water", "4106 Soil sciences", "Cooperation", "Sustainability", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Life Sciences & Biomedicine", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/3000130041"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3000130041", "name": "item", "description": "3000130041", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3000130041"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "3114970092", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:35Z", "type": "Dataset", "title": "Science for policy 6: Urban planning: sealing the future of soil functions - datasets?", "description": "Open AccessThis dataset is part of Deliverable and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO6_BAU_NoZoning_50.shp PO6_BAU_NoZoning_100.shp PO6_BAU_Zoning_50.shp PO6_Sprawl_Zoning_50.shp PO6_BAU_NoZoning_50.shp PO6_Compact_Zoning_50.shp PO6_Compact_NoZoning_50.shp The metronamica Model was applied on six scenarios with combinations of business as usual, suburban sprawl or compact city development which build on the socio-economic projections and density assumptions of the ESPON-ET2050 project, and use the land use allocation parameters from the RECARE and SoilCare Integrated Assessment Models. Spatial development (zoning) was for some scenarios restricted in high productive fields. The model results give probabilities (0 \u2013 1) of urban development within the 1 km\u00b2 cells. Based on these probability percentages the different soil functions are reduced (100% of the probability and 50% of the probability) compared to the current soil functioning and, for the 50% scenarios, partly replaced by low productive grasslands as gardens and other public greenery. Z-scores are calculated from the spatial SF maps for each of the environmental zones. These environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Food Safety", "Food Safety and Toxicology", "Nutritional Sciences", "Social Sciences", "7. Clean energy", "Pathology and Forensic Medicine", "Health and Life Sciences", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "Agriculture", " Forestry", " Horticulture", "Human Health and Pathology", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "Hydrology and Hydrogeology", "15. Life on land", "Rural and Agricultural Sociology", "Human Nutrition and food security", "Farming Systems", "Medicine", " Health and Life Sciences", "Earth and Environmental Sciences", "Soil Sciences", "Medicine", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/3114970092"}, {"rel": "self", "type": "application/geo+json", "title": "3114970092", "name": "item", "description": "3114970092", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3114970092"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "389c003f24135035b4136d7c1658b237", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:01Z", "type": "Dataset", "title": "Science for policy 4: Manure: spreading the load? \u2013 datasets.", "description": "Open AccessThis dataset is part of Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following tiffs and shapefiles: PO4_35km_Borders.shp PO4_35km_NoBorders.shp PO4_100km_Borders.shp PO4_100km_NoBorders.shp PO4_Max_Borders.shp PO4_Max_NoBorders.shp These shapefiles give an estimation of the change in soil function performance across the EU in agricultural soils after nitrogen surplus redistribution within a 35km, 100km and no limited range, with and without limitation in cross-border transport. The spatial variation is represented in change in z-scores compared to the current SF supply. To develop the scenario, current nutrient applications in areas where concentrations in ground water are above 50 mg nitrates per liter (mg/L), were decreased in order to reach the 50 mg /L level. The excess organic nutrient surplus was then redistributed on other fields within a range of 35km, 100km or no distance limitation, which can receive additional nutrients without exceeding the 50 mg N /L threshold for each location. Excess nutrient surpluses were allowed or not to cross borders and no increases in N application were allowed in Natura 2000 sites. Z-scores are calculated from the spatial SF maps. Environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Soils and soil sciences", "Agricultural Sciences", "Social Sciences", "Hydrology and Hydrogeology", "Rural and Agricultural Sociology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/389c003f24135035b4136d7c1658b237"}, {"rel": "self", "type": "application/geo+json", "title": "389c003f24135035b4136d7c1658b237", "name": "item", "description": "389c003f24135035b4136d7c1658b237", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/389c003f24135035b4136d7c1658b237"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "37951108", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:58Z", "type": "Journal Article", "created": "2023-11-10", "title": "Water quality in a large complex catchment: Significant effects of land use and soil type but limited ability to detect trends", "description": "Globally, significant societal resources are devoted to mitigating negative effects of eutrophication from excessive phosphorus (P) and nitrogen (N) loading. Potential effectiveness of mitigation measures and possible confounding factors are often assessed using studies conducted in headwater catchments. However, success is often evaluated based on trends in river mouth water chemistry. It is not clear how transferrable insights from headwater catchments are to larger rivers. Here, relationships between P and suspended solids (SS) identified in small agricultural headwater catchments were applied to 30 larger, mixed land use catchments draining into M\u00e4laren, a Swedish great lake. Relationships identified in headwater streams between SS concentration, catchment agricultural land percentage and arable land clay content were corroborated for the larger catchments (R2\u00a0=\u00a00.59, p-value<0.001. The same was true for connections between SS and particulate P (R2\u00a0=\u00a00.74, p-value<0.001). This study highlights the importance of agricultural land, clay content and SS for P transport, on both smaller headwater as well as larger catchment scales, supporting the use of headwater findings on larger, management relevant scales. Consequently, these relationships should be used to target mitigation measures to reduce SS and P losses. To explore the effectiveness of mitigation measures on water quality, we assessed long-term (20 year) trends in tributary water quality and compared these trends to the amount of mitigation measures implemented in the catchment. Overall improving trends were detected using regional Mann Kendall tests, but few decreasing trends in nutrient concentrations were found for individual sites using Generalized Additive Models (GAM). The lack of significant trends and identifiable connections to amount of mitigation measures implemented could be due to several reasons, e.g. insufficient time for recently implemented measures to have an effect, ongoing release of legacy P as well as low areal coverage and poor spatial placement of implemented measures. In addition, trend detection requires large amounts of data and the results should be carefully interpreted and communicated.", "keywords": ["Environmental Sciences (social aspects to be 507)", "Agriculture", "Phosphorus", "Oceanography", " Hydrology", " Water Resources", "15. Life on land", "Oceanography", "6. Clean water", "Soil", "Lakes", "Rivers", "13. Climate action", "Water Quality", "Water Resources", "Clay", "Hydrology", "Environmental Monitoring"]}, "links": [{"href": "https://pub.epsilon.slu.se/32300/1/sandstr%C3%B6m-s-et-al-20231212.pdf"}, {"href": "https://doi.org/37951108"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "37951108", "name": "item", "description": "37951108", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/37951108"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "4417a3789a8f521f04e520915c7d3bfb", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:10Z", "type": "Dataset", "title": "Science for policy 3: Climate change: no winners when it comes to soil functions \u2013 datasets.", "description": "Open Access

This dataset is part of both Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles:

 

 These shapefiles give estimations of the change in soil function performance across the EU in agricultural soils by 2050 under an RCP2.6", "keywords": ["Earth and Environmental Science", "Water resources", "Soils and soil sciences", "Agricultural Sciences", "Climate", "6. Clean water", "Hydrology and Hydrogeology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "11. Sustainability", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/4417a3789a8f521f04e520915c7d3bfb"}, {"rel": "self", "type": "application/geo+json", "title": "4417a3789a8f521f04e520915c7d3bfb", "name": "item", "description": "4417a3789a8f521f04e520915c7d3bfb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4417a3789a8f521f04e520915c7d3bfb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "50|userclaim___::389c003f24135035b4136d7c1658b237", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:26Z", "type": "Dataset", "title": "Science for policy 4: Manure: spreading the load? \u2013 datasets.", "description": "Open AccessThis dataset is part of Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following tiffs and shapefiles: PO4_35km_Borders.shp PO4_35km_NoBorders.shp PO4_100km_Borders.shp PO4_100km_NoBorders.shp PO4_Max_Borders.shp PO4_Max_NoBorders.shp These shapefiles give an estimation of the change in soil function performance across the EU in agricultural soils after nitrogen surplus redistribution within a 35km, 100km and no limited range, with and without limitation in cross-border transport. The spatial variation is represented in change in z-scores compared to the current SF supply. To develop the scenario, current nutrient applications in areas where concentrations in ground water are above 50 mg nitrates per liter (mg/L), were decreased in order to reach the 50 mg /L level. The excess organic nutrient surplus was then redistributed on other fields within a range of 35km, 100km or no distance limitation, which can receive additional nutrients without exceeding the 50 mg N /L threshold for each location. Excess nutrient surpluses were allowed or not to cross borders and no increases in N application were allowed in Natura 2000 sites. Z-scores are calculated from the spatial SF maps. Environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Soils and soil sciences", "Agricultural Sciences", "Social Sciences", "Hydrology and Hydrogeology", "Rural and Agricultural Sociology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|userclaim___::389c003f24135035b4136d7c1658b237"}, {"rel": "self", "type": "application/geo+json", "title": "50|userclaim___::389c003f24135035b4136d7c1658b237", "name": "item", "description": "50|userclaim___::389c003f24135035b4136d7c1658b237", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|userclaim___::389c003f24135035b4136d7c1658b237"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "50|userclaim___::4417a3789a8f521f04e520915c7d3bfb", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:26Z", "type": "Dataset", "title": "Science for policy 3: Climate change: no winners when it comes to soil functions \u2013 datasets.", "description": "Open Access

This dataset is part of both Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles:

 

 These shapefiles give estimations of the change in soil function performance across the EU in agricultural soils by 2050 under an RCP2.6", "keywords": ["Earth and Environmental Science", "Water resources", "Soils and soil sciences", "Agricultural Sciences", "Climate", "6. Clean water", "Hydrology and Hydrogeology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "11. Sustainability", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|userclaim___::4417a3789a8f521f04e520915c7d3bfb"}, {"rel": "self", "type": "application/geo+json", "title": "50|userclaim___::4417a3789a8f521f04e520915c7d3bfb", "name": "item", "description": "50|userclaim___::4417a3789a8f521f04e520915c7d3bfb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|userclaim___::4417a3789a8f521f04e520915c7d3bfb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "50|userclaim___::89e2857f08624cf89672a348e38806c7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:29:26Z", "type": "Dataset", "title": "Science for policy 2: Leaving land alone: soil functions under GAEC 9 \u2013 datasets", "description": "Open AccessThis dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO2_GAEC9_05.shp PO2_GAEC9_10.shp Both shapefiles give an estimation of the change in six soil function performance across the EU in agricultural soils after implementation of the GAEC9 under the proposed CAP to reach 5% or 10% fallow land. This spatial variation is represented in change in z-scores compared to the current supply. The presence of fallow land is evaluated on a NUTS1 level. In the regions where the target of fallow land is not reached, productive arable land is converted into low-productive grassland to reach the 5% or 10% goal. This scenario allows us to evaluate the effect of GAEC5 on the different soil functions. The soil functions are then mapped by applying a number of crop specific Bayesian networks on a combination of spatial maps which describe soil properties, climate, adapted land use and land management on agricultural soils throughout the European Union. Z-scores are calculated from the spatial SF maps for each of the NUTS1 zones. The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Soils and soil sciences", "Agricultural Sciences", "Social Sciences", "Hydrology and Hydrogeology", "Rural and Agricultural Sociology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|userclaim___::89e2857f08624cf89672a348e38806c7"}, {"rel": "self", "type": "application/geo+json", "title": "50|userclaim___::89e2857f08624cf89672a348e38806c7", "name": "item", "description": "50|userclaim___::89e2857f08624cf89672a348e38806c7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|userclaim___::89e2857f08624cf89672a348e38806c7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "PMC4772185", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:31:03Z", "type": "Journal Article", "created": "2016-01-28", "title": "Environmental Change in the Agro-Pastoral Transitional Zone, Northern China: Patterns, Drivers, and Implications", "description": "

Chengde city is located in the agro\u2013pastoral transitional zone in northern China near the capital city of Beijing, which has experienced large-scale ecological construction in the past three decades. This study quantitatively assessed the environmental changes in Chengde through observation records of water resources, water environment, atmospheric environment, and vegetation activity and investigated the possible causes. From the late 1950s to 2002, the streamflow presented a downward trend induced by climate variability and human activities, with contribution ratios of 33.2% and 66.8%, respectively. During 2001\u20132012, the days of levels I and II air quality presented clear upward trends. Moreover, the air pollutant concentration was relatively low compared with that in the adjacent areas, which means the air quality has improved more than that in the neighboring areas. The water quality, which deteriorated during 1993\u20132000, began to improve in 2002. The air and water quality changes were closely related to pollutant emissions induced by anthropogenic activities. During 1982\u20132012, the vegetation in the southeastern and central regions presented restoration trends, whereas that in the northwestern area showed degradation trends. The pixels with obvious degradation trends correlated significantly with annual mean temperature and annual precipitation. Ecological engineering also played a positive role in vegetation restoration. This analysis can be beneficial to environment managers in the active response and adaptation to the possible effects of future climate change, population growth, and industrial development and can be used to ensure sustainable development and environmental safety.

", "keywords": ["China", "Conservation of Natural Resources", "Climate", "Climate Change", "0207 environmental engineering", "Agriculture", "Environmental Exposure", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Article", "6. Clean water", "12. Responsible consumption", "Soil", "agro\u2013pastoral transitional zone; water resource; water environment; atmospheric environment; vegetation activity", "13. Climate action", "Air Pollution", "11. Sustainability", "Water Resources", "Humans", "Policy Making", "Public Health Administration", "Ecosystem", "Environmental Monitoring", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Chong Jiang, Fei Wang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/13/2/165/pdf"}, {"href": "https://doi.org/PMC4772185"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC4772185", "name": "item", "description": "PMC4772185", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC4772185"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-28T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Water+resources&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=Water+resources&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": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Water+resources&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Water+resources&offset=50", "hreflang": "en-US"}], "numberMatched": 60, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T13:54:08.827214Z"}