{"type": "FeatureCollection", "features": [{"id": "10.1016/j.scca.2023.100033", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:03Z", "type": "Journal Article", "created": "2023-08-18", "title": "Understanding the future of bio-based fertilisers: The EU's policy and implementation", "description": "Bio-based fertilisers (BBFs) aim to reduce the European Union's (EU) dependence on imported mineral fertilisers by recycling and reusing nutrient-rich by-streams. However, implementation can be very complex, and the right policies must be delivered to optimize BBFs' production-consumption flows. This study seeks a new perspective for policymakers by understanding current policies and reviewing previous studies on BBFs' implementation. Data collection from the researchers' database plus additional information from the ''EU-Lex'' platform and Member States' Government websites were obtained to fulfil the critical analysis. Our reviews indicate that policies related to BBFs are still under development to comply with some appropriate laws and regulations for their implementation. The current policies, implemented among others by the new EU Fertilising Products Regulation (FPR), are structured by component material categories (CMC) and product function categories (PFC) that govern the specific function of the product and the raw material utilization. For farmers and Small and Medium Enterprises (SMEs), compliance with the FPR may be challenging. Yet, for regional use, farmers and producers can still rely on BBFs in compliance with national regulations. In addition, attention from policymakers is needed to increase the level of public acceptance, farmer's adoption, and availability of BBF with acceptable prices. Finally, this study provides prospective research opportunities to help the development of BBFs.", "keywords": ["2. Zero hunger", "Chemistry", "Fertiliser regulation", "13. Climate action", "TD169-171.8", "Future fertiliser", "Circular economy framework", "QD1-999", "Environmental protection", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.1016/j.scca.2023.100033"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainable%20Chemistry%20for%20Climate%20Action", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scca.2023.100033", "name": "item", "description": "10.1016/j.scca.2023.100033", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scca.2023.100033"}, {"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": "10.1016/j.tplants.2023.01.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:41Z", "type": "Journal Article", "created": "2023-02-27", "title": "Heritage genetics for adaptation to marginal soils in barley", "description": "Future crops need to be sustainable in the face of climate change. Modern barley varieties have been bred for high productivity and quality; however, they have suffered considerable genetic erosion, losing crucial genetic diversity. This renders modern cultivars vulnerable to climate change and stressful environments. We highlight the potential to tailor crops to a specific environment by utilising diversity inherent in an adapted landrace population. Tapping into natural biodiversity, while incorporating information about local environmental and climatic conditions, allows targeting of key traits and genotypes, enabling crop production in marginal soils. We outline future directions for the utilisation of genetic resources maintained in landrace collections to support sustainable agriculture through germplasm development via the use of genomics technologies and big data.", "keywords": ["Crops", " Agricultural", "0301 basic medicine", "EFFICIENCY", "genetic resilience", "IMPACT", "/dk/atira/pure/subjectarea/asjc/1100/1110", "630", "12. Responsible consumption", "diversity", "Soil", "03 medical and health sciences", "FUTURE", "MANGANESE DEFICIENCY", "PLANTS", "2. Zero hunger", "580", "0303 health sciences", "barley landraces", "Hordeum", "Agriculture", "15. Life on land", "LANDRACES", "Adaptation", " Physiological", "CULTIVARS", "CLIMATE", "Plant Breeding", "climate change", "marginal soil", "13. Climate action", "name=Plant Science", "local adaptation", "RESISTANCE"]}, "links": [{"href": "https://doi.org/10.1016/j.tplants.2023.01.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Trends%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.tplants.2023.01.008", "name": "item", "description": "10.1016/j.tplants.2023.01.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.tplants.2023.01.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-01T00:00:00Z"}}, {"id": "10.1038/s41467-021-27031-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:12Z", "type": "Journal Article", "created": "2021-11-30", "title": "New climate models reveal faster and larger increases in Arctic precipitation than previously projected", "description": "Abstract

As the Arctic continues to warm faster than the rest of the planet, evidence mounts that the region is experiencing unprecedented environmental change. The hydrological cycle is projected to intensify throughout the twenty-first century, with increased evaporation from expanding open water areas and more precipitation. The latest projections from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) point to more rapid Arctic warming and sea-ice loss by the year 2100 than in previous projections, and consequently, larger and faster changes in the hydrological cycle. Arctic precipitation (rainfall) increases more rapidly in CMIP6 than in CMIP5 due to greater global warming and poleward moisture transport, greater Arctic amplification and sea-ice loss and increased sensitivity of precipitation to Arctic warming. The transition from a snow- to rain-dominated Arctic in the summer and autumn is projected to occur decades earlier and at a lower level of global warming, potentially under 1.5\uffe2\uff80\uff89\uffc2\uffb0C, with profound climatic, ecosystem and socio-economic impacts.

", "keywords": ["Science & Technology", "Science", "Q", "0207 environmental engineering", "FUTURE CHANGES", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Article", "Multidisciplinary Sciences", "OCEAN", "SNOW", "13. Climate action", "Science & Technology - Other Topics", "TEMPERATURE", "CMIP6", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41467-021-27031-y.pdf"}, {"href": "https://doi.org/10.1038/s41467-021-27031-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-021-27031-y", "name": "item", "description": "10.1038/s41467-021-27031-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-021-27031-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "10.1038/s41558-022-01499-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:13Z", "type": "Journal Article", "created": "2022-11-07", "title": "Dryland productivity under a changing climate", "description": "Understanding dryland dynamics is essential to predict future climate trajectories. However, there remains large uncertainty on the extent to which drylands are expanding or greening, the drivers of dryland vegetation shifts, the relative importance of different hydrological processes regulating ecosystem functioning, and the role of land-use changes and climate variability in shaping ecosystem productivity. We review recent advances in the study of dryland productivity and ecosystem function and examine major outstanding debates on dryland responses to environmental changes. We highlight often-neglected uncertainties in the observation and prediction of dryland productivity and elucidate the complexity of dryland dynamics. We suggest prioritizing holistic approaches to dryland management, accounting for the increasing climatic and anthropogenic pressures and the associated uncertainties.", "keywords": ["2. Zero hunger", "0301 basic medicine", "15. Life on land", "ecosystem productivity", "01 natural sciences", "dryland management", "03 medical and health sciences", "Geovetenskap och relaterad milj\u00f6vetenskap", "13. Climate action", "Annan samh\u00e4llsvetenskap", "Earth and Related Environmental Sciences", "dryland dynamics", "future prediction trajectory", "Other Social Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://re.public.polimi.it/bitstream/11311/1231799/1/2022_NatClimChange_Wang%20et%20al.pdf"}, {"href": "https://www.nature.com/articles/s41558-022-01499-y.pdf"}, {"href": "https://doi.org/10.1038/s41558-022-01499-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41558-022-01499-y", "name": "item", "description": "10.1038/s41558-022-01499-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41558-022-01499-y"}, {"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": "10.1111/gcb.13902", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:21Z", "type": "Journal Article", "created": "2017-09-11", "title": "CO2 evasion from boreal lakes: Revised estimate, drivers of spatial variability, and future projections", "description": "Abstract

Lakes (including reservoirs) are an important component of the global carbon (C) cycle, as acknowledged by the fifth assessment report of the IPCC. In the context of lakes, the boreal region is disproportionately important contributing to 27% of the worldwide lake area, despite representing just 14% of global land surface area. In this study, we used a statistical approach to derive a prediction equation\uffc2\uffa0for the partial pressure of CO2 (pCO2) in lakes as a function of lake area, terrestrial net primary productivity (NPP), and precipitation (r2\uffc2\uffa0=\uffc2\uffa0.56), and to create the first high\uffe2\uff80\uff90resolution, circumboreal map (0.5\uffc2\uffb0) of lake pCO2. The map of\uffc2\uffa0pCO2 was combined with lake area from the recently published GLOWABO database and three different estimates of the gas transfer velocity k to produce a resulting map of CO2 evasion (FCO2). For the boreal region, we estimate an average, lake area weighted, pCO2 of 966 (678\uffe2\uff80\uff931,325) \uffce\uffbcatm and a total\uffc2\uffa0FCO2 of 189 (74\uffe2\uff80\uff93347) Tg\uffc2\uffa0C\uffc2\uffa0year\uffe2\uff88\uff921, and evaluate the corresponding uncertainties based on Monte Carlo simulation. Our estimate of FCO2 is approximately twofold greater than previous estimates, as a result of methodological and data source differences. We use our results along with published estimates of the other C fluxes through inland waters to derive a C budget for the boreal region, and find that FCO2 from lakes is the most significant flux of the land\uffe2\uff80\uff90ocean aquatic continuum, and of a similar magnitude as emissions from forest fires. Using the model and applying it to spatially resolved projections of terrestrial NPP and precipitation while keeping everything else constant, we predict a 107% increase in boreal lake FCO2 under emission scenario RCP8.5 by 2100. Our projections are largely driven by increases in terrestrial NPP over the same period, showing the very close connection between the terrestrial and aquatic C cycle.Soil microbes are essential for maintenance of life\uffe2\uff80\uff90supporting ecosystem services, but projections of how these microbes will be affected by global change scenarios are lacking. Therefore, our aim was to provide projections of future soil microbial distribution using several scenarios of global change.

Location

Global.

Time period

1950\uffe2\uff80\uff932090.

Major taxa studied

Bacteria and fungi.

Methods

We used a global database of soil microbial communities across six continents to estimate past and future trends of the soil microbiome. To do so, we used structural equation models to include the direct and indirect effects of changes in climate and land use in our predictions, using current climate (temperature and precipitation) and land\uffe2\uff80\uff90use projections between 1950 and 2090.

Results

Local bacterial richness will increase in all scenarios of change in climate and land use considered, although this increase will be followed by a generalized community homogenization process affecting >\uffc2\uffa085% of terrestrial ecosystems. Changes in the relative abundance of functional genes associated with the increases in bacterial richness are also expected. Based on an ecological cluster analysis, our results suggest that phylotypes such asGeodermatophilusspp. (typical desert bacteria),Mycobacteriumsp. (which are known to include important human pathogens),Streptomyces mirabilis(major producers of antibiotic resistance genes) or potential fungal soil\uffe2\uff80\uff90borne plant pathogens belonging to Ascomycota fungi (Venturiaspp.,Devriesiaspp.) will become more abundant in their communities.

Main conclusions

Our results provide evidence that climate change has a stronger influence on soil microbial communities than change in land use (often including deforestation and agricultural expansion), although most of the effects of climate are indirect, through other environmental variables (e.g., changes in soil pH). The same was found for microbial functions such as the prevalence of phosphate transport genes. We provide reliable predictions about the changes in the global distribution of microbial communities, showing an increase in alpha diversity and a homogenization of soil microbial communities in the Anthropocene.

Soil microbial communities are fundamental to maintaining key soil processes associated with litter decomposition, nutrient cycling, and plant productivity and are thus integral to human well-being. Recent technological advances have exponentially increased our knowledge concerning the global ecological distributions of microbial communities across space and time and have provided evidence for their contribution to ecosystem functions. However, major knowledge gaps in soil biogeography remain to be addressed over the coming years as technology and research questions continue to evolve.

", "keywords": ["0301 basic medicine", "2. Zero hunger", "future perspectives", "0303 health sciences", "soil microbial biogeography", "recent advances", "15. Life on land", "Microbiology", "QR1-502", "3. Good health", "03 medical and health sciences", "13. Climate action", "XXXXXX - Unknown", "Minireview"]}, "links": [{"href": "https://doi.org/10.1128/msystems.00803-19"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/mSystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1128/msystems.00803-19", "name": "item", "description": "10.1128/msystems.00803-19", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1128/msystems.00803-19"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-28T00:00:00Z"}}, {"id": "10.3390/su12051962", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:07Z", "type": "Journal Article", "created": "2020-03-04", "title": "Transitioning European Protein-Rich Food Consumption and Production towards More Sustainable Patterns\u2014Strategies and Policy Suggestions", "description": "

Global and European diets have shifted towards greater consumption of animal proteins. Recent studies urge reversals of these trends and call for a rapid transition towards adoption of more plant-based diets. This paper explored mechanisms to increase the production and consumption of plant-proteins in Europe by 2030, using participatory backcasting. We identified pathways to the future (strategies), as well as interim milestones, barriers, opportunities and actions, with key European stakeholders in the agri-food chain. Results show that four strategies could be implemented to achieve the desired future: increased research and development, enriched consumer education and awareness, improved and connected supply and value chains and public policy supports. Actions needed to reach milestones were required immediately, reinforcing the need for urgent actions to tackle the protein challenge. This study concretely detailed how idealized dietary futures can be achieved in a real-world context. It can support EU protein transition by informing policy makers and the broader public on potential ways to move towards a more sustainable plant-based future. The outputs of this analysis have the potential to be combined with dietary scenarios to develop more temporally explicit models of future dietary changes and how to reach them.

", "keywords": ["future", "2. Zero hunger", "Agricultura", "pathways", "food security", "01 natural sciences", "stakeholders", "Econom\u00eda", "12. Responsible consumption", "sustainable agriculture", "meat substitutes", "Medio Ambiente", "plant protein", "13. Climate action", "backcasting", "value chain", "meat substitution", "europe", "diet", "plant proteins", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/5/1962/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/5/1962/pdf"}, {"href": "https://doi.org/10.3390/su12051962"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su12051962", "name": "item", "description": "10.3390/su12051962", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12051962"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-04T00:00:00Z"}}, {"id": "10.5194/bg-19-3505-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:45Z", "type": "Journal Article", "created": "2022-07-28", "title": "Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential", "description": "

Abstract. In the age of big data, soil data are more available and richer than ever, but \u2013 outside of a few large soil survey resources \u2013 they remain largely unusable for informing soil management and understanding Earth system processes beyond the original study. Data science has promised a fully reusable research pipeline where data from past studies are used to contextualize new findings and reanalyzed for new insight. Yet synthesis projects encounter challenges at all steps of the data reuse pipeline, including unavailable data, labor-intensive transcription of datasets, incomplete metadata, and a lack of communication between collaborators. Here, using insights from a diversity of soil, data, and climate scientists, we summarize current practices in soil data synthesis across all stages of database creation: availability, input, harmonization, curation, and publication. We then suggest new soil-focused semantic tools to improve existing data pipelines, such as ontologies, vocabulary lists, and community practices. Our goal is to provide the soil data community with an overview of current practices in soil data and where we need to go to fully leverage big data to solve soil problems in the next century.

", "keywords": ["FOS: Computer and information sciences", "0301 basic medicine", "Data Sharing", "Information Systems and Management", "literature review", "1904 Earth-Surface Processes", "Social Sciences", "data set", "01 natural sciences", "Decision Sciences", "Data science", "Life", "QH501-531", "910 Geography & travel", "soil analysis", "database", "QH540-549.5", "2. 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Life on land", "Computer science", "1105 Ecology", " Evolution", " Behavior and Systematics", "Surface Processes", "Harmonization", "FOS: Biological sciences", "Computer Science", "Environmental Science", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil management", "Research Data", "Environmental DNA in Biodiversity Monitoring"]}, "links": [{"href": "https://doi.org/10.5194/bg-19-3505-2022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-19-3505-2022", "name": "item", "description": "10.5194/bg-19-3505-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-19-3505-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-28T00:00:00Z"}}, {"id": "10.5281/zenodo.11421746", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:21Z", "type": "Software", "title": "ConFire: State of Wildfires 2023/24", "description": "Project Overview: This is the first release of our Bayesian-based fire models, designed for fire prediction and analysis using Bayesian inference and simple fire models. The release here is the base code and information used in the 'State of Wildfire's report 2023/24'. https://doi.org/10.5194/essd-2024-218 Key Features: ConFire fire model now implemented with zero-inflated logistic link distribution Configuration files for near real-time, attribution and future projections for Greece, Canada, and NW Amazon. Utilizes various environmental and climatic data for isimip and Copernicus data store Robust statistical analysis now uses PyMC at version 5 and ArviZ. Installation and Usage: For detailed installation and usage instructions, please refer to the README, also in this repository archive. Acknowledgments: Special thanks to all contributors and the developers of the dependencies used in this project. Particularly Maria Lucia Ferreira Barbosa, Douglas Kelley, Chantelle Burton Full Changelog: https://github.com/douglask3/Bayesian_fire_models/compare/v0.1...SoW23_v0.1", "keywords": ["Canada", "Attribution", "Greece", "Amazonia", "Wildfire", "Climatic changes", "Fire", "Bayesian statistics", "Future projections"], "contacts": [{"organization": "Barbosa, Maria Lucia Ferreira, Kelley, Douglas, Burton, Chantelle, Anderson, Liana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.11421746"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.11421746", "name": "item", "description": "10.5281/zenodo.11421746", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.11421746"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-03T00:00:00Z"}}, {"id": "10.5281/zenodo.11460232", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:22Z", "type": "Software", "title": "ConFire: State of Wildfires 2023/24", "description": "Project Overview: This is the first release of our Bayesian-based fire models, designed for fire prediction and analysis using Bayesian inference and simple fire models. The release here is the base code and information used in the 'State of Wildfire's report 2023/24'. https://doi.org/10.5194/essd-2024-218 Key Features: ConFire fire model now implemented with zero-inflated logistic link distribution Configuration files for near real-time, attribution and future projections for Greece, Canada, and NW Amazon. Utilizes various environmental and climatic data for isimip and Copernicus data store Robust statistical analysis now uses PyMC at version 5 and ArviZ. Installation and Usage: For detailed installation and usage instructions, please refer to the README, also in this repository archive. Acknowledgments: Special thanks to all contributors and the developers of the dependencies used in this project. Particularly Maria Lucia Ferreira Barbosa, Douglas Kelley, Chantelle Burton Full Changelog: https://github.com/douglask3/Bayesian_fire_models/compare/v0.1...SoW23_v0.1", "keywords": ["Canada", "Attribution", "Greece", "Amazonia", "Wildfire", "Climatic changes", "Fire", "Bayesian statistics", "Future projections"], "contacts": [{"organization": "Barbosa, Maria Lucia Ferreira, Kelley, Douglas, Burton, Chantelle, Anderson, Liana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.11460232"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.11460232", "name": "item", "description": "10.5281/zenodo.11460232", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.11460232"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-03T00:00:00Z"}}, {"id": "10.7554/elife.54749", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:44Z", "type": "Journal Article", "created": "2020-07-28", "title": "Climate change and intensive land use reduce soil animal biomass via dissimilar pathways", "description": "

Global change drivers, such as climate change and land use, may profoundly influence body size, density, and biomass of soil organisms. However, it is still unclear how these concurrent drivers interact in affecting ecological communities. Here, we present the results of an experimental field study assessing the interactive effects of climate change and land-use intensification on body size, density, and biomass of soil microarthropods. We found that the projected climate change and intensive land use decreased their total biomass. Strikingly, this reduction was realized via two dissimilar pathways: climate change reduced mean body size and intensive land use decreased density. These findings highlight that two of the most pervasive global change drivers operate via different pathways when decreasing soil animal biomass. These shifts in soil communities may threaten essential ecosystem functions like organic matter turnover and nutrient cycling in future ecosystems.

", "keywords": ["QH301-705.5", "Science", "Climate Change", "land-use intensification", "Soil", "Germany", "Animals", "Biomass", "Biology (General)", "Arthropods", "global change", "Ecosystem", "2. Zero hunger", "Ecology", "Q", "R", "Biodiversity", "04 agricultural and veterinary sciences", "15. Life on land", "Biota", "future climate", "13. Climate action", "Medicine", "0401 agriculture", " forestry", " and fisheries", "body size", "soil fauna"]}, "links": [{"href": "https://doi.org/10.7554/elife.54749"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/eLife", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7554/elife.54749", "name": "item", "description": "10.7554/elife.54749", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7554/elife.54749"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-28T00:00:00Z"}}, {"id": "10.7941/D1432P", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:48Z", "type": "Dataset", "title": "Continental United States may lose 1.8 petagrams of soil organic carbon under climate change by 2100", "description": "unspecifiedAims: High-resolution information on soils\u2019 vulnerability to climate-induced soil organic carbon (SOC) loss can enable environmental scientists, land managers, and policy makers to develop targeted mitigation strategies. This study aims to estimate baseline and decadal changes in continental US surface SOC stocks under future emission scenarios. \u00a0 Location: Continental United States \u00a0 Time Period: 2014-2100 \u00a0 Results: Baseline SOC projections from ML approaches captured more than 50% of variability in SOC observations, whereas ESMs represented only 6-16% of observed SOC variability. ML estimates showed a mean total loss of 1.8 Pg C from US surface soils under the high-emission scenario by 2100, whereas ESMs showed no significant change in SOC stocks with wide variation among ESMs. Both ML and ESM predictions agree on the direction of SOC change (net emissions or sequestration) across 46%\u201351% of continental US land area. These differences are attributable to the high-resolution site-specific data used in ML model compared to the relatively coarse grid represented in CMIP6 ESMs. \u00a0 Main conclusions: Our high-resolution estimates of baseline SOC stocks, identification of key environmental controllers, and projection of SOC changes from US land cover types under future climate scenarios suggest the need for high-resolution simulations of SOC in ESMs to represent the heterogeneity of SOC. We found that the SOC change is sensitive to key soil related factors (e.g. soil drainage and soil order) that have not been historically considered as input parameters in ESMs, because currently more than 95% variability in the SOC of CMIP6 ESMs are controlled by net primary productivity, temperature, and precipitation. Using additional environmental factors to estimate the baseline SOC stocks and predict the future trajectory of SOC change can provide more accurate results.", "keywords": ["soil organic carbon", "earth system model", "13. Climate action", "environmental factors", "future projection", "FOS: Earth and related environmental sciences", "15. Life on land", "climate"], "contacts": [{"organization": "Gautam, Sagar", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7941/D1432P"}, {"rel": "self", "type": "application/geo+json", "title": "10.7941/D1432P", "name": "item", "description": "10.7941/D1432P", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7941/D1432P"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-31T00:00:00Z"}}, {"id": "1805/38282", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:31Z", "type": "Journal Article", "created": "2022-11-07", "title": "Dryland productivity under a changing climate", "description": "Understanding dryland dynamics is essential to predict future climate trajectories. However, there remains large uncertainty on the extent to which drylands are expanding or greening, the drivers of dryland vegetation shifts, the relative importance of different hydrological processes regulating ecosystem functioning, and the role of land-use changes and climate variability in shaping ecosystem productivity. We review recent advances in the study of dryland productivity and ecosystem function and examine major outstanding debates on dryland responses to environmental changes. We highlight often-neglected uncertainties in the observation and prediction of dryland productivity and elucidate the complexity of dryland dynamics. We suggest prioritizing holistic approaches to dryland management, accounting for the increasing climatic and anthropogenic pressures and the associated uncertainties.", "keywords": ["2. Zero hunger", "0301 basic medicine", "15. Life on land", "ecosystem productivity", "01 natural sciences", "dryland management", "03 medical and health sciences", "Geovetenskap och relaterad milj\u00f6vetenskap", "13. Climate action", "Annan samh\u00e4llsvetenskap", "Earth and Related Environmental Sciences", "dryland dynamics", "future prediction trajectory", "Other Social Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://re.public.polimi.it/bitstream/11311/1231799/1/2022_NatClimChange_Wang%20et%20al.pdf"}, {"href": "https://www.nature.com/articles/s41558-022-01499-y.pdf"}, {"href": "https://doi.org/1805/38282"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1805/38282", "name": "item", "description": "1805/38282", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1805/38282"}, {"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": "1959.7/uws:64812", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:39Z", "type": "Journal Article", "created": "2021-02-21", "title": "Global projections of the soil microbiome in the Anthropocene", "description": "AbstractAim

Soil microbes are essential for maintenance of life\uffe2\uff80\uff90supporting ecosystem services, but projections of how these microbes will be affected by global change scenarios are lacking. Therefore, our aim was to provide projections of future soil microbial distribution using several scenarios of global change.

Location

Global.

Time period

1950\uffe2\uff80\uff932090.

Major taxa studied

Bacteria and fungi.

Methods

We used a global database of soil microbial communities across six continents to estimate past and future trends of the soil microbiome. To do so, we used structural equation models to include the direct and indirect effects of changes in climate and land use in our predictions, using current climate (temperature and precipitation) and land\uffe2\uff80\uff90use projections between 1950 and 2090.

Results

Local bacterial richness will increase in all scenarios of change in climate and land use considered, although this increase will be followed by a generalized community homogenization process affecting >\uffc2\uffa085% of terrestrial ecosystems. Changes in the relative abundance of functional genes associated with the increases in bacterial richness are also expected. Based on an ecological cluster analysis, our results suggest that phylotypes such asGeodermatophilusspp. (typical desert bacteria),Mycobacteriumsp. (which are known to include important human pathogens),Streptomyces mirabilis(major producers of antibiotic resistance genes) or potential fungal soil\uffe2\uff80\uff90borne plant pathogens belonging to Ascomycota fungi (Venturiaspp.,Devriesiaspp.) will become more abundant in their communities.

Main conclusions

Our results provide evidence that climate change has a stronger influence on soil microbial communities than change in land use (often including deforestation and agricultural expansion), although most of the effects of climate are indirect, through other environmental variables (e.g., changes in soil pH). The same was found for microbial functions such as the prevalence of phosphate transport genes. We provide reliable predictions about the changes in the global distribution of microbial communities, showing an increase in alpha diversity and a homogenization of soil microbial communities in the Anthropocene.

Soil microbial communities are fundamental to maintaining key soil processes associated with litter decomposition, nutrient cycling, and plant productivity and are thus integral to human well-being. Recent technological advances have exponentially increased our knowledge concerning the global ecological distributions of microbial communities across space and time and have provided evidence for their contribution to ecosystem functions. However, major knowledge gaps in soil biogeography remain to be addressed over the coming years as technology and research questions continue to evolve.

", "keywords": ["0301 basic medicine", "2. Zero hunger", "future perspectives", "0303 health sciences", "soil microbial biogeography", "recent advances", "15. Life on land", "Microbiology", "QR1-502", "3. Good health", "03 medical and health sciences", "13. Climate action", "XXXXXX - Unknown", "Minireview"]}, "links": [{"href": "https://doi.org/1959.7/uws:77768"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/mSystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.7/uws:77768", "name": "item", "description": "1959.7/uws:77768", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.7/uws:77768"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-28T00:00:00Z"}}, {"id": "20.500.11850/562259", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:48Z", "type": "Journal Article", "created": "2022-07-28", "title": "Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential", "description": "

Abstract. In the age of big data, soil data are more available and richer than ever, but \u2013 outside of a few large soil survey resources \u2013 they remain largely unusable for informing soil management and understanding Earth system processes beyond the original study. Data science has promised a fully reusable research pipeline where data from past studies are used to contextualize new findings and reanalyzed for new insight. Yet synthesis projects encounter challenges at all steps of the data reuse pipeline, including unavailable data, labor-intensive transcription of datasets, incomplete metadata, and a lack of communication between collaborators. Here, using insights from a diversity of soil, data, and climate scientists, we summarize current practices in soil data synthesis across all stages of database creation: availability, input, harmonization, curation, and publication. We then suggest new soil-focused semantic tools to improve existing data pipelines, such as ontologies, vocabulary lists, and community practices. Our goal is to provide the soil data community with an overview of current practices in soil data and where we need to go to fully leverage big data to solve soil problems in the next century.

", "keywords": ["FOS: Computer and information sciences", "0301 basic medicine", "Data Sharing", "Information Systems and Management", "literature review", "1904 Earth-Surface Processes", "Social Sciences", "data set", "01 natural sciences", "Decision Sciences", "Data science", "Life", "QH501-531", "910 Geography & travel", "soil analysis", "database", "QH540-549.5", "2. Zero hunger", "QE1-996.5", "000", "Ecology", "communication", "Physics", "Earth", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "World Wide Web", "10122 Institute of Geography", "soil survey", "Physical Sciences", "Data Reuse", "environment", "Information Systems", "Evolution", "future prospect", "Data management", "Data Sharing and Stewardship in Science", "Database", "Big data", "03 medical and health sciences", "Behavior and Systematics", "Data mining", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Management and Reproducibility of Scientific Workflows", "Metadata", "Data curation", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Acoustics", "15. Life on land", "Computer science", "1105 Ecology", " Evolution", " Behavior and Systematics", "Surface Processes", "Harmonization", "FOS: Biological sciences", "Computer Science", "Environmental Science", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil management", "Research Data", "Environmental DNA in Biodiversity Monitoring"]}, "links": [{"href": "https://doi.org/20.500.11850/562259"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/562259", "name": "item", "description": "20.500.11850/562259", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/562259"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-28T00:00:00Z"}}, {"id": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/273667", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:54Z", "type": "Journal Article", "created": "2017-09-11", "title": "CO2 evasion from boreal lakes: Revised estimate, drivers of spatial variability, and future projections", "description": "Abstract

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