{"type": "FeatureCollection", "features": [{"id": "10.7185/geochemlet.1831", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2018-12-13", "title": "Bridging the depleted MORB mantle and the continental crust using titanium isotopes", "description": "The mechanisms driving the chemical complementarity between depleted MORB mantle (DMM) and continental crust (with an average 'andesitic' composition) remain unclear. By investigating Archean komatiites, and modern enriched (E) and normal (N) MORB samples, we demonstrate that partial melting of the mantle does not fractionate Ti isotopes, whereas intracrustal differentiation causes significant Ti isotopic fractionation between melts and minerals, specifically Fe-Ti oxides. Thus, Ti isotope ratios are tracers of these two magmatic regimes. N-MORB and late Archean (2.9-2.7 Ga) komatiites are depleted in the heavier Ti isotopes compared to E-MORB and middle Archean (3.5-3.3 Ga) komatiites. We show that the depletion in the heavier Ti isotopes of the DMM is due to mantle recycling of the isotopically light residues from the generation of felsic continental crust over 3.5-2.7 Ga. This process must have reached a steady state by \u2248 2.5 Ga, based on the uniform Ti isotopic composition of contemporary N-MORBs and late Archean komatiites. This change is likely due to a decrease in the mantle potential temperature related to the emergence of plate tectonics.", "keywords": ["13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.7185/geochemlet.1831"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochemical%20Perspectives%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7185/geochemlet.1831", "name": "item", "description": "10.7185/geochemlet.1831", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7185/geochemlet.1831"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.7185/geochemlet.2511", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2025-04-01", "title": "Lengthening of biogeochemical processes during winter in degraded permafrost soils", "description": "The consequences of permafrost thaw for organic carbon release are mainly studied in summer, considering the frozen soil is inert in winter. Here, we show that biogeochemical processes also occur during early winter. We combine Si isotopes and Ge/Si with Fe and dissolved organic carbon (DOC) concentrations in soil porewater along a natural gradient of permafrost degradation (palsa, intermediate and degraded palsa sites) and in river water (Stordalen, Sweden) collected during late autumn and early winter. The data support: (i) the occurrence of early winter snowmelt water infiltration in soils diluting more extensively the soil porewater in dry well-drained palsa soils; (ii) the decrease of the redox potential (by 30 %) induced by snowmelt water infiltration and water table rise at the intermediate site, favouring Fe-oxides dissolution and the release of the associated DOC in soil porewater; (iii) the contribution of snowmelt water infiltration to the Fe and DOC lateral export from permafrost degrading soils to rivers.", "keywords": ["Ekologi", "Geochemistry", "Ecology", "Geokemi", "Milj\u00f6vetenskap", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.7185/geochemlet.2511"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochemical%20Perspectives%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7185/geochemlet.2511", "name": "item", "description": "10.7185/geochemlet.2511", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7185/geochemlet.2511"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-01T00:00:00Z"}}, {"id": "10261/279272", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-02-21", "title": "How Socio-Economic Drivers Explain Landscape Soil Erosion Regulation Services in Polish Catchments", "description": "

Most studies that address the relationship between socio-economic characteristics and soil erosion focus on the effects of soil erosion on socio-economic conditions at different levels, from global to smallholder. Few, if any, efforts are made to address the influence of socio-economic variables on the soil erosion rate as an indicator of landscape degradation. The present study was carried out using spatial data from 402 catchments that cover Poland, to find out how socio-economic variables, which include area-weighted average income per capita (PLN km\u22122), area-weighted average gross domestic product (PLN km\u22122), population density (person km\u22122), and human development index can drive the soil erosion rate (kg ha\u22121 yr\u22121), along with annual precipitation, soil and geomorphological variables that include soil organic carbon content, soil water content, clay ratio, stream gradient, and terrain slope. The results showed that the soil erosion rate is indirectly driven by the socio-economic variables in the study catchments, as it is alleviated by increasing population density, the area-weighted average gross domestic product, and the human development index. Furthermore, analyzing the incremental relationship between soil erosion rate and the area-weighted average of socio-economic variables revealed that no uniform change can be observed in the relationship between the area-weighted average socio-economic variables and soil erosion in the study catchments.

", "keywords": ["HDI", "2. Zero hunger", "Conservation of Natural Resources", "landscape; ecosystem services; soil erosion regulation; area-weighted average income per capita; area-weighted average GDP; HDI", "04 agricultural and veterinary sciences", "15. Life on land", "Area-weighted average income per capita", "01 natural sciences", "Article", "Carbon", "Area-weighted average GDP", "Soil erosion regulation", "Soil", "Socioeconomic Factors", "13. Climate action", "11. Sustainability", "Ecosystem services", "Humans", "0401 agriculture", " forestry", " and fisheries", "Landscape", "Poland", "Environmental Monitoring", "Soil Erosion", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/1660-4601/19/4/2372/pdf"}, {"href": "https://www.mdpi.com/1660-4601/19/4/2372/pdf"}, {"href": "https://doi.org/10261/279272"}, {"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": "10261/279272", "name": "item", "description": "10261/279272", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/279272"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-18T00:00:00Z"}}, {"id": "10.7185/geochemlet.1710", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2016-11-03", "title": "Late accretion history of the terrestrial planets inferred from platinum stable isotopes", "description": "Late accretion of chondritic material to differentiated planetary bodies is thought to have been common in the early solar system. However, the timing and scale of admixing this material to terrestrial planets are poorly constrained. Using platinum (Pt) stable isotope data in a range of solar system bodies, we show that Earth's post-Archean mantle has chondritic 198Pt/194Pt, consistent with addition of a chondritic late-veneer after core formation. Conversely, terrestrial Archean samples record non-chondritic, heavy, 198Pt/194Pt, indicating preservation of early mantle components that escaped complete mixing with the late-veneer. These data suggest admixing of \u226450 % of the eventual full late-veneer inventory. Such effective mixing within Earth's mantle by 3.85 Ga is most consistent with modern-style plate tectonics. ; SCOPUS: ar.j ; info:eu-repo/semantics/published", "keywords": ["13. Climate action", "G\u00e9n\u00e9ralit\u00e9s", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Creech, J.B., Baker, J.A., Handler, M.R., Lorand, J.-P., Storey, M., Wainwright, A.N., Luget, A., Moynier, F., Bizzarro, M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7185/geochemlet.1710"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochemical%20Perspectives%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7185/geochemlet.1710", "name": "item", "description": "10.7185/geochemlet.1710", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7185/geochemlet.1710"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-11-01T00:00:00Z"}}, {"id": "10.7185/geochemlet.2014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2020-04-16", "title": "Moderately volatile element behaviour at high temperature determined from nuclear detonation", "description": "Open AccessThe first nuclear detonation, at the Trinity test site, is an analogue for high temperature volatile loss during planet formation processes. We report Cu isotope and abundance data, comparing them with Zn and K isotopes in trinitite glasses sampled with distance from the detonation centre. Copper concentrations drop, and isotopic compositions become ~0.3 \u2030 higher with proximity to the detonation. Relative sensitivity to high temperature evaporative isotopic fractionation processes occur in the order: Zn > Cu >> K. Lower volatility of K relative to Cu and Zn results from its low activity coefficient in silicate melts. Lunar mare basalt and some tektite Cu, Zn and K isotope compositions can be modelled using empirical fractionation factors (\u03b1) derived from trinitite. Combined with isotopic variations measured in mare basalts, the results support volatile loss during a magma ocean phase for the Moon.", "keywords": ["13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.7185/geochemlet.2014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochemical%20Perspectives%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7185/geochemlet.2014", "name": "item", "description": "10.7185/geochemlet.2014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7185/geochemlet.2014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "10.7185/gold2021.7214", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2021-11-08", "title": "Radium inputs into the Arctic Ocean from rivers: a basin-wide estimate", "description": "Abstract

Radium isotopes have been used to trace nutrient, carbon, and trace metal fluxes inputs from ocean margins. However, these approaches require a full accounting of radium sources to the coastal ocean including rivers. Here, we aim to quantify river radium inputs into the Arctic Ocean for the first time for 226Ra and to refine the estimates for 228Ra. Using new and existing data, we find that the estimated combined (dissolved plus desorbed) annual 226Ra and 228Ra fluxes to the Arctic Ocean are [7.0\uffe2\uff80\uff939.4] \uffc3\uff97 1014 dpm y\uffe2\uff88\uff921 and [15\uffe2\uff80\uff9318] \uffc3\uff97 1014 dpm y\uffe2\uff88\uff921, respectively. Of these totals, 44% and 60% of the river 226Ra and 228Ra, respectively are from suspended sediment desorption, which were estimated from laboratory incubation experiments. Using Ra isotope data from 20 major rivers around the world, we derived global annual 226Ra and 228Ra fluxes of [7.4\uffe2\uff80\uff9317] \uffc3\uff97 1015 and [15\uffe2\uff80\uff9327] \uffc3\uff97 1015 dpm y\uffe2\uff88\uff921, respectively. As climate change spurs rapid Arctic warming, hydrological cycles are intensifying and coastal ice cover and permafrost are diminishing. These river radium inputs to the Arctic Ocean will serve as a valuable baseline as we attempt to understand the changes that warming temperatures are having on fluxes of biogeochemically important elements to the Arctic coastal zone.Inappropriate disposal of the plastic mulching debris could create macroplastics (MaPs) and microplastics (MiPs) pollution in agricultural soil.

Methods

To study the effects of farming systems on accumulation and distribution of agricultural plastic debris, research was carried out on two farming systems in Northwest China. Farming in Wutong Village (S1) is characterized by small plots and low-intensity machine tillage while farming in Shihezi (S2) is characterized by large plots and high-intensity machine tillage. In September 2017, we selected six fields in S1, three fields with 6\uffe2\uff80\uff938 years of continuous plastic mulching (CM) as well as three fields with over 30 years of intermittent mulching (IM). In S2, we selected five cotton fields with 6, 7, 8, 15 and 18 years of continuous mulching. In both regions, MaPs and MiPs from soil surface to 30 cm depth (0\uffe2\uff80\uff9330 cm) were sampled.

Results

The results showed that in S1, MaPs mass in fields with 6\uffe2\uff80\uff938 years CM (i.e., 97.4kg\uffc2\uffb7ha\uffe2\uff88\uff921) were significantly higher than in fields with 30 years IM (i.e., 53.7 kg\uffc2\uffb7ha\uffe2\uff88\uff921). MaPs in size category of 10\uffe2\uff80\uff9350 cm2 accounted for 46.9% in fields of CM and 44.5% in fields of IM of total collected MaPs number. In S2, MaPs mass ranged from 43.5 kg\uffc2\uffb7ha\uffe2\uff88\uff921 to 148 kg\uffc2\uffb7ha\uffe2\uff88\uff921. MaPs in size category of 2\uffe2\uff80\uff9310 cm2 account for 41.1% of total collected MaPs number while 0.25\uffe2\uff80\uff932 cm2 accounted for 40.6%. MiPs in S1 were mainly detected in fields with over 30 years of intermittent mulching (up to 2,200 particles\uffc2\uffb7kg\uffe2\uff88\uff921 soil), whereas in S2 were detected in all fields (up to 900 particles\uffc2\uffb7kg\uffe2\uff88\uff921 soil). The results indicated farming systems could substantially affect the accumulation and distribution of agricultural plastic debris. Continuous plastic mulching could accumulate higher amount of MaPs than intermittent plastic mulching. High-intensity machine tillage could lead to higher fragmentation of MaPs and more severe MiPs pollution. These results suggest that agricultural plastic regulations are needed.

The concept of ecosystem services, especially in combination with economic valuation, can illuminate trade-offs involved in soil management, policy and governance, and thus support decision making. In this paper, we investigate and highlight the potential and limitations of the economic valuation of soil-based ecosystem services to inform sustainable soil management and policy. We formulate a definition of soil-based ecosystem services as basis for conducting a review of existing soil valuation studies with a focus on the inclusion of ecosystem services and the choice of valuation methods. We find that, so far, the economic valuation of soil-based ecosystem services has covered only a small number of such services and most studies have employed cost-based methods rather than state-of-the-art preference-based valuation methods, even though the latter would better acknowledge the public good character of soil related services. Therefore, the relevance of existing valuation studies for political processes is low. Broadening the spectrum of analyzed ecosystem services as well as using preference-based methods would likely increase the informational quality and policy relevance of valuation results. We point out options for improvement based on recent advances in economic valuation theory and practice. We conclude by investigating the specific roles economic valuation results can play in different phases of the policy-making process, and the specific requirements for its usefulness in this context.

", "keywords": ["Literature review", "2. Zero hunger", "QH301-705.5", "R", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "12. Responsible consumption", "Multifunctionality", "Ecosystem services", "Economic valuation", "Medicine", "Policy cycle", "Biology (General)", "Agricultural Science", "10. No inequality", "Agri-environmental policy"]}, "links": [{"href": "https://doi.org/10.7717/peerj.8749"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.8749", "name": "item", "description": "10.7717/peerj.8749", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.8749"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-24T00:00:00Z"}}, {"id": "10.7818/ECOS.2017.26-1.15", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2017-04-29", "title": "3\u00aa edici\u00f3n de la Escuela de Ecolog\u00eda de Verano UPNA (2017)", "description": "Visconti, F., de Paz, J.M. 2017. Estimation of the potential CO 2 sequestration and emission capacity of the agricultural soils of the Valencian Community. Ecosistemas 26(1): 91-100. Doi.: 10.7818/ECOS.2017.26-1.15 Agricultural soils have capacity to sequester CO 2 in the form of organic matter. However, this capacity has hardly been quantified and mapped for large territories and with a wide variety of crops, such as the Valencian Community. This task is required to properly size the role of agriculture in any strategy to mitigate climate change. In this paper a first estimate of the potential CO 2 sequestration and emission capacity of the agricultural soils of the Valencian Community down to 20 cm depth has been made. This estimate has been carried out based on the average and spatial variability of the agricultural soil organic matter content in homogeneous agro-ecological zones in climate, soil class and land use, and using GIS, geostatistics and map algebra techniques. The sequestration and emission capacities were found to be 24.0 and 22.0 Mt of carbon, respectively. These values are equivalent to roughly \u00b1 8 years of carbon emissions by use of fossil fuels in the Community itself. This sequestering capacity, which could be reached in 15 to 100 years with the global adoption of management practices that foster soil organic matter accumulation, has an important but insufficient effect compared to the current emission rate. In any case, increasing carbon sequestration in soils, either through management improvement or through organic matter incorporation programs, is very important both to improve sequestration capacity and even more to adapt agroecosystems to climate change.", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.7818/ECOS.2017.26-1.15"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosistemas", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7818/ECOS.2017.26-1.15", "name": "item", "description": "10.7818/ECOS.2017.26-1.15", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7818/ECOS.2017.26-1.15"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-16T00:00:00Z"}}, {"id": "10.7717/peerj.9750", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2020-09-09", "title": "KEYLINK: towards a more integrative soil representation for inclusion in ecosystem scale models. I. review and model concept", "description": "

The relatively poor simulation of the below-ground processes is a severe drawback for many ecosystem models, especially when predicting responses to climate change and management. For a meaningful estimation of ecosystem production and the cycling of water, energy, nutrients and carbon, the integration of soil processes and the exchanges at the surface is crucial. It is increasingly recognized that soil biota play an important role in soil organic carbon and nutrient cycling, shaping soil structure and hydrological properties through their activity, and in water and nutrient uptake by plants through mycorrhizal processes. In this article, we review the main soil biological actors (microbiota, fauna and roots) and their effects on soil functioning. We review to what extent they have been included in soil models and propose which of them could be included in ecosystem models. We show that the model representation of the soil food web, the impact of soil ecosystem engineers on soil structure and the related effects on hydrology and soil organic matter (SOM) stabilization are key issues in improving ecosystem-scale soil representation in models. Finally, we describe a new core model concept (KEYLINK) that integrates insights from SOM models, structural models and food web models to simulate the living soil at an ecosystem scale.

", "keywords": ["[SDE] Environmental Sciences", "550", "Root system", "talna biota", "hydrology", "2511.06 Conservaci\u00f3n de Suelos", "Soil Organic Matter", "11. Sustainability", "Soil biota", "Biology (General)", "PSD", "info:eu-repo/classification/ddc/610", "2. Zero hunger", "Ecology", "General Neuroscience", "R", "velikosti por", "General Medicine", "04 agricultural and veterinary sciences", "2511 Ciencias del Suelo (Edafolog\u00eda)", "Root water uptake", "Pore size distribution (PSD)", "[SDE]Environmental Sciences", "8. Economic growth", "Medicine", "pedofavna", "General Agricultural and Biological Sciences", "soil fauna", "Engineering sciences. Technology", "570", "QH301-705.5", "distribucija", "Soil Science", "Genetics and Molecular Biology", "soil biota", "Soil fauna", "pore size distribution", "hidrologija", "info:eu-repo/classification/udc/630*1", "Ecosystem", "ecosystem", "ekosistem", "model", "Soil organic matter (SOM)", "15. Life on land", "SOM", "13. Climate action", "General Biochemistry", "0401 agriculture", " forestry", " and fisheries", "2508 Hidrolog\u00eda", "Hydrology", "Model"]}, "links": [{"href": "http://pure.iiasa.ac.at/id/eprint/16685/1/peerj-9750.pdf"}, {"href": "https://peerj.com/articles/9750.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/16685/1/peerj-9750.pdf"}, {"href": "https://pub.epsilon.slu.se/17599/1/deckmyn_g_et_al_200925.pdf"}, {"href": "https://doi.org/10.7717/peerj.9750"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.9750", "name": "item", "description": "10.7717/peerj.9750", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.9750"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-09T00:00:00Z"}}, {"id": "10.7717/peerj.9876", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2020-09-21", "title": "A laboratory comparison of the interactions between three plastic mulch types and 38 active substances found in pesticides", "description": "Background

In semi-arid regions, the use of plastic mulch and pesticides in conventional agriculture is nearly ubiquitous. Although the sorption of pesticides on Low Density Polyethylene (LDPE) has been previously studied, no data are available for other plastics such as Pro-oxidant Additive Containing (PAC) plastics or \uffe2\uff80\uff9cbiodegradable\uffe2\uff80\uff9d (Bio) plastics. The aim of this research was to measure the sorption pattern of active substances from pesticides on LDPE, PAC and Bio plastic mulches and to compare the decay of the active substances in the presence and absence of plastic debris.

Methods

For this purpose, 38 active substances from 17 insecticides, 15 fungicides and six herbicides commonly applied with plastic mulching in South-east Spain were incubated with a 3 \uffc3\uff97 3 cm2 piece of plastic mulch (LDPE, PAC and Bio). The incubation was done in a solution of 10% acetonitrile and 90% distilled water at 35 \uffc2\uffb0C for 15 days in the dark. The Quick Easy Cheap Effective Rugged Safe approach was adapted to extract the pesticides.

Results

The sorption behavior depended on both the pesticide and the plastic mulch type. On average, the sorption percentage was ~23% on LDPE and PAC and ~50% on Bio. The decay of active substances in the presence of plastic was ~30% lesser than the decay of active substances in solution alone. This study is the first attempt at assessing the behavior of a diversity of plastic mulches and pesticides to further define research needs.The HC27 soil profile database consists of generic soil profiles developed by John Dimes and Jawoo Koo. The 27 soil profiles were generated based on three criteria that crop models are most responsive to: texture, rooting depth (proxy of water availability), and organic carbon content (proxy of fertility). Three levels for each category were classified using the boundary conditions based on the meta-analysis of WISE 1.1 soil profiles measured at crop land areas in Sub-Saharan Africa.

< p>There are multiple ways to utilize these generic soil profiles in crop modeling applications, especially when soil measurement data is not available for the study site. For example, (1) users can choose the one that best matches the soil typically found in the study area by following the decision tree of three multiple-choice questions and use it as a starting point, or (2) users can run models with all 27 soil profiles for a given study site to create a possible range of simulation results, which can be narrowed down later as more site-specific information becomes available.

These generic soil profiles does not replace existing soil mapping efforts nor site-specific soil measurements. Instead this approach addresses the need for a set of reasonably representative and prototypical soil profiles in certain types of crop modeling applications (e.g., global-scale modeling studies). Due to the nature of being 'generic,' there will be applications for which the use of HC27 is not desirable, especially where detailed soil property dynamics beyond the three criter ia are emphasized.

", "keywords": ["Earth and Environmental Sciences", "Generic Soil Profile; Prototypical Soil Profile; Crop Modeling; DSSAT; Texture; Rooting Depth; Organic Carbon Content", "Soil Profile"], "contacts": [{"organization": "Koo, Jawoo, Dimes, John,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/90WJ9W"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/90WJ9W", "name": "item", "description": "10.7910/DVN/90WJ9W", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/90WJ9W"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/ESK6BB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:34Z", "type": "Dataset", "title": "Current and future forage suitability maps for Rwanda and Tanzania", "description": "This data was produced using Targeting Tools \u2013 a web-based GIS tool, which matches a suitability criteria that include climate and environmental requirements for each of the forage varieties with a spatial database that\u2019s comprises organic carbon, soil PH, annual precipitation, mean temperature, growing days and elevation data to characterize the suitability.", "keywords": ["rwanda", "kenya", "Forage", "Agricultural Sciences", "Forage suitability", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Maps", "Africa", "Rwanda", "forage", "Agroecosystems and Sustainable Landscapes - ASL", "Kenya"], "contacts": [{"organization": "Mutua, John, Notenbaert, An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/ESK6BB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/ESK6BB", "name": "item", "description": "10.7910/DVN/ESK6BB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/ESK6BB"}, {"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": "10.7910/DVN/FNEGDP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:34Z", "type": "Dataset", "title": "Current and future forage suitability maps for Ethiopia and Kenya", "description": "This data was produced using Targeting Tools \u2013 a web-based GIS tool, which matches a suitability criteria that include climate and environmental requirements for each of the forage varieties with a spatial database that\u2019s comprises organic carbon, soil PH, annual precipitation, mean temperature, growing days and elevation data to characterize the suitability.", "keywords": ["Forage", "Agricultural Sciences", "Forage suitability", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Maps", "Africa", "forage", "Ethiopia", "Agroecosystems and Sustainable Landscapes - ASL", "Kenya"], "contacts": [{"organization": "Mutua, John, Notenbaert, An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/FNEGDP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/FNEGDP", "name": "item", "description": "10.7910/DVN/FNEGDP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/FNEGDP"}, {"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": "10.7910/DVN/DRS5NH", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:34Z", "type": "Dataset", "title": "A dataset for soil organic carbon in agricultural systems for the Southeast Asia region", "description": "Dataset includes the following files: 1- \u201cSOC_database.xlsx\u201d includes the data. The 'SOC' sheet included data collected on soil organic carbon, while the 'Biomass' sheet included data collected on biomass or yield of harvestable organs of different crops. 2- \u201cMetadata.docx' includes a summary defining each column, trait collected in the data and the units for each variable. 3- \u201cReferences.docx\u201d contains all the references of the articles included in the dataset. 4- \u201cCode.zip\u201d includes additional datasets ('soc_tillage_fertilization.xlsx' and \u2018rice_soc.xlsx\u2019) and the scripts to produce the figures presented in this study. \u201cSOC_database.xlsx\u201d contains information systematically collected from selected published articles (see materials and methods). The data presented in sheet 'SOC' can be divided into three sections: The first section referred to information inherent to the published article (id, authors, year of publication). The second section included information inherent to the experiment (location, experimental design, number of replications, name of treatments applied, length of SOC assessment). The third section presented the information collected on soil organic carbon and organic matter content, and soil bulk density (values, units, and laboratory method used to determine carbon). Finally, the crops that were present during the experiment were shown and comments were added to clarify some specific aspects of the experiment. The data presented in sheet 'Biomass' can be divided into three sections: The first section in which information inherent to the published article was reported (id, authors, year of publication). The second section presented information related to the experiment (year of experimentation, number of replications, name of the treatments applied, and the crop evaluated in the experimentation). The third section presented the information collected on aboveground biomass, harvestable organ yield, and crop residues (values, units, and laboratory method used to determine soil organic carbon). Finally, comments were made clarifying the moisture content of the harvestable organ yield in those published articles that reported this variable.", "keywords": ["Agricultural Sciences", "Earth and Environmental Sciences"], "contacts": [{"organization": "Carcedo, Ana Julia Paula", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/DRS5NH"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/DRS5NH", "name": "item", "description": "10.7910/DVN/DRS5NH", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/DRS5NH"}, {"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": "10.7910/DVN/FA3ZJS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:34Z", "type": "Dataset", "created": "2016-11-30", "title": "Pilot Project Land Degradation Neutrality (LDN), Namibia: Establishment of a baseline for land degradation in the region of Otjozondjupa", "description": "Soil and vegetation data collected to develop LDN baselines in Otjozondjupa region of Namibia. The baselines include: land cover change, land productivity, soil organic carbon, and bush encroachment.", "keywords": ["SDG 15.3", "Land cover", "sustainable development", "UNCCD", "Land degradation neutrality", "Agricultural Sciences", "land degradation", "carbon", "Soil Carbon", "Namibia", "Carbon", "soil", "Soil", "land cover", "Earth and Environmental Sciences", "Sustainable development", "Africa", "Soils", "Land degradation", "degradaci\u00f3n de tierras", "desarrollo sostenible", "Otjozondjupa"], "contacts": [{"organization": "Nijbroek, Ravic, Mutua, John, S\u00f6derstr\u00f6m, Mats, Piikki, Kristin, Kempen, Bas, Hengari, Simeon,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/FA3ZJS"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/FA3ZJS", "name": "item", "description": "10.7910/DVN/FA3ZJS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/FA3ZJS"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/GM2YV0", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:34Z", "type": "Dataset", "title": "Soil properties of 40 farmer fields in Haleku Gulenta and Dodicha kebeles of Adamitullu woreda, Ethiopia", "description": "Open AccessSOil analysis was conducted by JIJE analytical testing service laboratory, POBox 70077, Addis Ababa, Ethiopia. The samples were collected during 1-5 June 2015 and analysis was done between 22 June and 14 July 2015.", "keywords": ["Earth and Environmental Sciences"], "contacts": [{"organization": "K.P.C Rao, Kedir Wako, Alemayehu Eshete,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/GM2YV0"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/GM2YV0", "name": "item", "description": "10.7910/DVN/GM2YV0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/GM2YV0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/GXUNAZ", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:34Z", "type": "Dataset", "title": "Non-responsiveness of crops to fertilizers under some soils in sub-Saharan Africa", "description": "Open AccessLow productivity of agriculture observed in different parts of sub-Saharan Africa is threatening food security in the region. Decades of production with mostly application of small amounts of inorganic fertilizers (mostly macronutrients) and scarce organic resources in the context of integrated soil fertility management (ISFM) result in nutrient mining of secondary and micronutrients in majority of smallholder farms. With the last decade, crop non-responsiveness to nutrient application has become an important issue requiring scientific understanding. We provide data focused on identifying the extent of non-responsiveness of crops to nutrient application and the associated factors. Data contains crop yield response to secondary and micronutrient (SMN), manure and lime application relative to yields of only NP/K application.", "keywords": ["Nutrient response", "carbono organico del suelo", "Agricultural Sciences", "Soil organic carbon", "CGIAR Research Program on Water", " Land and Ecosystems", "Inorganic fertilisers", "abonos inorganicos", "Multifunctional Landscapes", "micronutrients fertilizers", "Soil fertility", "Micronutrient fertilizers", "soil organic carbon", "Manure", "Earth and Environmental Sciences", "Africa", "inorganic fertilizers", "fertilizantes de oligoelementos"], "contacts": [{"organization": "Kihara, Job Maguta, Okeyo, Jeremiah, Bolo, Peter Omondi, Kinyua, Michael,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/GXUNAZ"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/GXUNAZ", "name": "item", "description": "10.7910/DVN/GXUNAZ", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/GXUNAZ"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HE6CEM", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, specifically Western Kenya", "description": "The survey data on soil carbon enhancing practices in western Kenya is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, practices implemented, yield, inputs, livestock ownership, social capital, access to credit, access to extension services and sources of income.", "keywords": ["Land Management", "Agricultural Sciences", "Soil carbon enhancing practices", "land management", "Low soil fertility", "Kenya", "soil", "Soil", "Earth and Environmental Sciences", "Natural Resources", "Africa", "agricultural economics", "Decision and Policy Analysis - DAPA", "Western Kenya", "natural resources", "Agricultural Economics"], "contacts": [{"organization": "Ng\u2019ang\u2019a, Stanley Karanja, George Magambo, Kanyenji, Jalang'o, Dorcas Anyango, Nguru, Wilson Maina, Girvetz, Evan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HE6CEM"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HE6CEM", "name": "item", "description": "10.7910/DVN/HE6CEM", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HE6CEM"}, {"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": "10.7910/DVN/HXAH87", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Arbuscular and ectomycorrhizal fungi diversity in the Indian subcontinent", "description": "Mycorrhizal fungi (MF) are below-ground organisms playing a key role in terrestrial ecosystems as they regulate nutrient and carbon cycles, and influence soil structure and ecosystem multifunctionality. Arbuscular and ectomycorrhizal fungi are the two mycorrhizal types most relevant to worldwide ecosystems, but areas like the Indian sub-continent remain under-represented in global maps. The dataset presented here reports the available information regarding arbuscular and ectomycorrhizal fungi diversity in cultivated and natural ecosystems of the Indian subcontinent. We have selected studies published in English in ISI Web of Science during the years 2005 - 2020 that provided a taxonomic classification of MF and their associated abundance in terms of percentage of root colonization or number of spores per quantity of soil. From the screening of 74 studies, we have recorded: i. the scientific or common name of the plant or the generic habitat sampled for MF identification; ii the MF genus and species; iii. the location of the study with associated altitude and geographic coordinates; iv. main soil physico-chemical properties (soil pH, texture, organic Carbon, Total Nitrogen, available Phosphorus); climatic variables such as mean annual precipitation and temperature.<br><br>", "keywords": ["ecosystem management", "Asia", "Agricultural Sciences", "CGIAR Research Program on Water", " Land and Ecosystems", "Multifunctional Landscapes", "gesti\u00f3n de ecosistemas", "soil biology", "MYCORRHIZAE", "CGIAR Research Program", "Earth and Environmental Sciences", "SOIL BIOLOGY", "BIODIVERSITY", "mycorrhizae", "biolog\u00eda del suelo"], "contacts": [{"organization": "Beggi, Francesca, Dasgupta, Debarshi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HXAH87"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HXAH87", "name": "item", "description": "10.7910/DVN/HXAH87", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HXAH87"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/IPZGLB", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "What Happens After Phragmites Is Killed; Effect of Variable Tidal Flooding on Plant Growth and Carbon Allocation: A Marsh Organ Experiment", "description": "This dataset is from a mesocosm experiment where different native wetland species and the invasive species Phragmites australis were planted at different flooding levels in a tidal creek along the Rhode River, a subestuary of the Chesapeake Bay in Edgewater, Maryland. This dataset includes plant growth metrics (height, basal diameter, and stem counts), aboveground and belowground plant biomass, soil oxidation reduction potential, soil carbon, flooding levels, and salinity.", "keywords": ["native wetland planting; Phragmites; marsh elevation; flooding levels", "Earth and Environmental Sciences"], "contacts": [{"organization": "Jacobson, Sylvia, Whigham, Dennis, Brooks, Hope, Baldwin, Andrew H., McCormick, Melissa, Kettenring, Karin, Buehl, Eric,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/IPZGLB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/IPZGLB", "name": "item", "description": "10.7910/DVN/IPZGLB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/IPZGLB"}, {"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": "10.7910/DVN/HSV1ET", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Supplemental Table 1.", "description": "Open AccessSupplemental Table 1. Stats in Excel for cross-country comparison.", "keywords": ["Earth and Environmental Sciences", "Area", "Mangrove", "GIS", "Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HSV1ET"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HSV1ET", "name": "item", "description": "10.7910/DVN/HSV1ET", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HSV1ET"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HYFICT", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Replication Data for: Global Sequestration Potential of Increased Organic Carbon in Cropland Soils", "description": "These datasets were developed as part of an analysis of the carbon sequestration potential of increasing soil organic carbon on croplands in the top 30cm of soil. The analysis estimates the carbon sequestration in tons per hectare after 20 years under improved management, with both a \u201cmedium\u201d and a \u201chigh\u201d scenario on the model presented in Sommer and Bossio (2014). This analysis is described in the paper cited below: Zomer, R.J., Bossio, D.A., Sommer, R., Verchot, L.V., 2017. Global Sequestration Potential of Increased Organic Carbon in Cropland Soils. Scientific Reports 7: http://dx.doi.org/10.1038/s41598-017-15794-8 The methodology is described in detail in the Supplementary Materials", "keywords": ["agroecology", "Carbon sequestration", "Agricultural Sciences", "Earth and Environmental Sciences", "Africa", "Soils", "ecological modelling", "ecosystem services", "climate change mitigation"]}, "links": [{"href": "https://doi.org/10.7910/DVN/HYFICT"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HYFICT", "name": "item", "description": "10.7910/DVN/HYFICT", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HYFICT"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/QQQM8V", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Soil carbon profile data from paired land use comparisons", "description": "Harmonized compilation of mostly georeferenced soil carbon stock data with a focus on finding soil organic carbon stocks under patches of native remnant vegetation within large agricultural regions. For most native sites, paired agricultural land uses were also sampled and are reported in this database. Full project documentation, R code and spatial products can be found at: https://github.com/whrc/Soil-Carbon-Debt", "keywords": ["climate change", "Agricultural Sciences", "Earth and Environmental Sciences", "land use", "soil carbon", "carbon sequestration"], "contacts": [{"organization": "Sanderman, Jonathan", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/QQQM8V"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/QQQM8V", "name": "item", "description": "10.7910/DVN/QQQM8V", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/QQQM8V"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/KJNQ7Z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Soil analysis for selected forage on-farm demonstration plots in Western Kenya", "description": "The data contains results for soil organic carbon and texture for selected forage treatments in 6 on-farm demonstration plots located in Bungoma, Kakamega, Siaya and Busia counties in Western Kenya. The soils were analyzed in 2022, 3 years after the planting of the forages. The 6 demonstration plots were set up within the Grass2cash project. The data will be used for calibrating and evaluating the DSSAT CROPGRO Perennial Forage Model.<br><br> Metodology:Laboratory analysis", "keywords": ["soil organic carbon", "Crops for Nutrition and Health", "Agricultural Sciences", "Earth and Environmental Sciences", "Africa", "CGIAR Research Program on Livestock", "forage", "soil texture"], "contacts": [{"organization": "Nyawira, Sylvia Sarah, Jebet, Mercy Korir, Notenbaert, An Maria Omer,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/KJNQ7Z"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/KJNQ7Z", "name": "item", "description": "10.7910/DVN/KJNQ7Z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/KJNQ7Z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/M4MWOI", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "GMCSD-4. AGMB, Mangrove Cover, 1 m, 2 m, 3 m soil, 2000 \u2013 2012, 1 Arc-Second.", "description": "Open AccessMangrove forests store high densities of organic carbon, which, when coupled with high rates of deforestation, means that mangroves have the potential to contribute substantially to carbon emissions. Consequently, mangroves are strong candidates for inclusion in nationally determined contributions (NDCs) to the United Nations Framework Convention on Climate Change (UNFCCC), and payments for ecosystem services (PES) programmes that financially incentivize the conservation of forested carbon stocks. This study quantifies annual mangrove carbon stocks from 2000 to 2012 at the global, national and sub-national levels, and global carbon emissions resulting from deforestation over the same time period. Globally, mangroves stored 4.19\u2009Pg of carbon in 2012, with Indonesia, Brazil, Malaysia and Papua New Guinea accounting for more than 50% of the global stock. 2.96\u2009Pg of the global carbon stock is contained within the soil and 1.23\u2009Pg in the living biomass. Two percent of global mangrove carbon was lost between 2000 and 2012, equivalent to a maximum potential of 316,996,250\u2009t of CO2 emissions.", "keywords": ["Earth and Environmental Sciences", "CSV Table", "Global Mangrove AGMB and Soil"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/M4MWOI"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/M4MWOI", "name": "item", "description": "10.7910/DVN/M4MWOI", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/M4MWOI"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/NW8K2P", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Soil carbon fractions for Great Plains Ecoregion of the United States", "description": "GPmeasuredfractions contains data on measured soil carbon fractions for 100 soil samples from the Great Plains ecoregion. Also included are mid infrared spectra for these samples. Fraction protocol followed Baldock et al (2013) Soil Research 1(8):561\u2013576 (https://doi.org/10.1071/SR12374). GPsoilcarbonfraction file contains a dataset of approximately 1550 soil profiles with ~8000 individual horizons from the Great Plains ecoregion. Soil data include total organic carbon content, particulate organic carbon, mineral-associated (or humus) organic carbon, and resistant (or pyrogenic) organic carbon content, bulk density of the fine earth fraction, clay content, pH. GPS coordinates and a host of covariate data are included. Carbon fractions were estimated from mid infrared spectral models. Five stacked GeoTiff files contain 250 m resolution maps of soil organic carbon (SOC), particulate organic carbon (POC), mineral-associated organic carbon (MAOC), pyrogenic carbon (PyC) and bulk density of the fine earth fraction (BD) projected at six standard depths (1, 3.5, 7.5, 15, 25, 37.5, and 67.5 cm). Spatial data are from a quantile random forest model and the median estimate for each property is given. Methodological details can be found in the accompanying Biogeochemistry publication.", "keywords": ["Agricultural Sciences", "Earth and Environmental Sciences", "soil carbon", "soil science", "predictive soil mapping"], "contacts": [{"organization": "Sanderman, Jonathan, Dangal, Shree, Savage, Kathleen, Potter, Stefano, Rivard, Charlotte, Ludwig, Sarah, Baldock, Jeffrey,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/NW8K2P"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/NW8K2P", "name": "item", "description": "10.7910/DVN/NW8K2P", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/NW8K2P"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/SQI3IR", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "GMCSD-1. Global Mangrove Carbon, 2000 and 2012, 1 Arc-second, 1 m soil.", "description": "Open AccessGlobal Mangrove Carbon, 2000 and 2012, 1 Arc-Second, 1 m Soil, low, mid, high, EQ1, EQ2, EQ3, EQ4, EQ5.

These are large file and we needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no Tiffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/SQI3IR"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/SQI3IR", "name": "item", "description": "10.7910/DVN/SQI3IR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/SQI3IR"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/QTACSN", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, Kenya and Ethiopia.", "description": "The survey data on soil carbon enhancing practices in Ethiopia is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, crops grown, yield, practices implemented, inputs, livestock ownership, social capital, access to credit, access to extension services.", "keywords": ["Agricultural economics", "Agricultural Sciences", "Soil carbon enhancing practices", "Land management", "Earth and Environmental Sciences", "Africa", "land management", "agricultural economics", "Decision and Policy Analysis - DAPA", "Ethiopia", "Natural resources", "natural resources", "Low soil fertility"], "contacts": [{"organization": "Ng\u2019ang\u2019a, Stanley Karanja, Gelaw, Fekadu, Nguru, Wilson Maina, Magambo Kanyenji, George, Girvetz, Evan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/QTACSN"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/QTACSN", "name": "item", "description": "10.7910/DVN/QTACSN", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/QTACSN"}, {"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": "10.7910/DVN/T8CMAT", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "created": "2016-02-28", "title": "GMCSD-2. Global Mangrove Carbon, 2000 to 2012, 1 Arc-second, 1 m soil.", "description": "Open AccessGlobal Mangrove Carbon, 2000 to 2012, 1 Arc-Second, 1 m Soil, mid, EQ5.

Annual stocks.

Each of these 13 years is 3TB when extracted. So that is 39 TB as a tif.

We needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no TIffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/T8CMAT"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/T8CMAT", "name": "item", "description": "10.7910/DVN/T8CMAT", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/T8CMAT"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/UE20WE", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "GMCSD-3. Global Mangrove Carbon, 2012, Country Carbon Levels, 1 m Soil", "description": "Open Access

Global Mangrove Carbon, 2012, Country Carbon Levels, 1 m Soil, mid, EQ5.

all 104 countries mangrove C stocks (t)

Value is ISO 3 digit country code

", "keywords": ["Excel Table", "Earth and Environmental Sciences", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/UE20WE"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/UE20WE", "name": "item", "description": "10.7910/DVN/UE20WE", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/UE20WE"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/UNLRGC", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:36Z", "type": "Dataset", "title": "Replication Data for: Maize response to macronutrients and potential for profitability in sub-Saharan Africa", "description": "Sub-Saharan Africa (SSA) is plagued by low productivity and little research is available on the attainable responses and profitability to applied nutrients under variable environments. The objective of this study was to determine the attainable maize grain response to and potential of profitability of N, P and K application in SSA using boundary line approaches. Data from experiments conducted in SSA under AfSIS project (2009\u20132012) and from FAO trials database (1969\u20131996) in 15 countries and constituting over 375 different experimental locations and 6600 data points are used. Both response to fertilizer and value cost ratio (VCR) are highly variable and no more than 61 % cases for N, 43 % for P and 25 % for K attain VCR of 2 or more. Also, based on the recent AfSIS data, VCR exceeds 1 in just 67 % (N), 57 % (P) and 40 % (K) of the cases, even when best management practices are applied on a research farm, and interest rates are zero. Chances for profitability are highest when soil organic carbon is 1\u20132 % and control maize grain yield is 1\u20133 t ha\u22121 but also depends on relatively static soil properties (primarily texture and mineralogy) that are not under farmer control. We conclude that return on investment of macronutrient fertilizer is highly variable and can be substantially increased by helping farmers decide where to apply the fertilizers. Consequently, farmers need access to information on factors influencing economic returns of fertilizer use in order to make the right decisions.", "keywords": ["soil fertility", "Earth and Environmental Sciences", "Africa", "Soils", "Soil fertility", "soil"], "contacts": [{"organization": "Kihara, Job", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/UNLRGC"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/UNLRGC", "name": "item", "description": "10.7910/DVN/UNLRGC", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/UNLRGC"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/UEICXE", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:36Z", "type": "Dataset", "title": "Variation of soil organic carbon and its major constraints in East Central Asia", "description": "Variation of soil organic carbon and its major constraints in East Central Asia", "keywords": ["Earth and Environmental Sciences"], "contacts": [{"organization": "Xinqing, Lee", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/UEICXE"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/UEICXE", "name": "item", "description": "10.7910/DVN/UEICXE", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/UEICXE"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/V2ISRH", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:36Z", "type": "Dataset", "title": "Forest carbon dioxide gross removals (sequestration)", "description": "Displays gross carbon dioxide removals (sequestration) by standing and new forests globally from 2001 onwards. Geospatial data are in 10x10 degree geotifs. The northwest corner of each geotif is noted in the file name, e.g., 50N_030E has its northwest corner at (50 deg N, 30 deg E) and has its southeast corner at (40 deg N, 40 deg E). Use the shapefile in GFW_Hansen_tile_footprints.zip to determine which 10x10 degree geotifs cover your area(s) of interest.

Description (adapted from GFW Open Data Portal, https://data.globalforestwatch.org/datasets/gfw::forest-carbon-removals/about):

This carbon removals layer is part of the forest carbon flux model described in\u202fHarris et al. (2021). This paper introduces a geospatial monitoring framework for estimating global forest carbon fluxes which can assist a variety of actors and organizations with tracking greenhouse gas fluxes from forests and in decreasing emissions or increasing removals by forests. Forest carbon removals from the atmosphere (sequestration) by forest sinks represent the cumulative carbon captured (megagrams CO2/ha) by the growth of established and newly regrowing forests during the model period between 2001-2023. Removals include accumulation of carbon in both aboveground and belowground live tree biomass. Following IPCC Tier 1 assumptions for forests remaining forests, removals by dead wood, litter, and soil carbon pools are assumed to be zero. In each pixel, carbon removals are calculated following IPCC Guidelines for\u202fnational greenhouse gas inventories\u202fwhere forests existed in 2000 or were established between 2000 and 2020 according to Potapov et al. 2022. Atmospheric carbon removed in each pixel is based on maps of forest type (e.g., mangrove, plantation), ecozone (e.g., humid Neotropics), forest age (e.g., primary, old secondary), and number of years of carbon removal. This layer reflects the cumulative removals during the model period (2001-2023) and must be divided by 23 to obtain an annual average during the model duration; removal rates cannot be assigned to individual years of the model. All input layers were resampled to a common resolution of 0.00025 x 0.00025 degrees each to match\u202fHansen et al. (2013). Removals are available for download in megagrams of CO2/ha from 2001 onwards. It is appropriate for visualizing (mapping) removals because it represents the density of removals per hectare from 2001 onwards.

Each year, the tree cover loss, drivers of tree cover loss, and burned area are updated. In 2023 and 2024, a few model input data sets and constants were changed as well, as described below. Please refer to https://www.globalforestwatch.org/blog/data/whats-new-carbon-flux-monitoring/ for more information.

1. The source of the ratio between belowground carbon and aboveground carbon. Previously used one global constant; now uses map from Huang et al. 2021 2. The years of tree cover gain. Previously used 2000-2012; now uses 2000-2020 from Potapov et al. 2022.

3. The source of fire data. Previously used MODIS burned area; now uses tree cover loss from fires from Tyukavina et al. 2022.

4. The source of peat maps. New tropical data sets have been included and the data set above 40 degrees north has been changed.

5. Global warming potential (GWP) constants for CH4 and N2O. Previously used GWPs from IPCC Fifth Assessment Report; now uses GWPs from IPCC Sixth Assessment Report.

6. Removal factors for older (>20 years) secondary temperate forests and their associated uncertainties. Previously used removal factors published in Table 4.9 of the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories; now uses corrected removal factors and uncertainties from the 4th Corrigenda to the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories.

7. Planted tree extent and removal factors. Previously used Spatial Database of Planted Trees (SDPT) Version 1.0; now uses SDPT Version 2.0 and associated removal factors.

Cautions:

1. Data are the product of modeling and thus have an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use.

2. Values are applicable to forest areas (canopy cover >30 percent and >5 m height or areas with tree cover gain). See Harris et al. (2021) for further information on the forest definition used in the analysis.

3. Carbon removals reflect the total removals over the model period of 2001-2023, not an annual time series from which a trend can be derived. Thus, values must be divided by 23 to calculate average annual removals.

4. Uncertainty is higher in gross removals than emissions, particularly driven by uncertainty in removal factors.

5. Carbon removals reflect a gross estimate, i.e., carbon emissions from previous or subsequent loss of tree cover are not included. Instead, gross carbon emissions are accounted for in the companion forest carbon emissions layer.

6. Removals data contain temporal inconsistencies because tree cover gain represents a cumulative total from 2000-2020, rather than annual gains as estimated through 2023.

7. Forest carbon removals reflect those occurring only within forest ecosystems and do not reflect carbon stock increases in the harvested wood products (HWP) pool.

8. Large jumps in removals along some boundaries are due to the use of ecozone-specific removal factors. The changes in removals occur at ecozone boundaries, where different removal factors are applied on each side.

9. This dataset has been updated since its original publication. See Overview for more information.", "keywords": ["Carbon dioxide", "Earth and Environmental Sciences", "Sink", "Sequestration", "Forest", "Growth"], "contacts": [{"organization": "Gibbs, David, Rose, Melissa, Harris, Nancy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/V2ISRH"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/V2ISRH", "name": "item", "description": "10.7910/DVN/V2ISRH", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/V2ISRH"}, {"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": "10.7910/DVN/VXPUK8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:36Z", "type": "Dataset", "title": "Cave Subterranean Estuaries: Geological Distribution and Biogeochemical Significance - Jesse Dugan MSc Dissertation", "description": "Raw data for the database 'Cave Subterranean Estuaries: Geological Distribution and Biogeochemical Significance'. Completed in partial fulfillment of the requirements for the degree of Master of Science from the University of Liverpool", "keywords": ["Biogeochemical Cycles", "Estuarine", "Estuary", "Cave", "Volcanic Tube", "Coastal Geology", "Karst", "Coastal Cave", "Conservation", "Chemistry", "Siliciclastic Caves", "Subterranean Estuary", "Earth and Environmental Sciences", "Submarine Groundwater Discharge", "Volcanic Caves"], "contacts": [{"organization": "Dugan, Jesse", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/VXPUK8"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/VXPUK8", "name": "item", "description": "10.7910/DVN/VXPUK8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/VXPUK8"}, {"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": "10.7910/DVN/WNQBBP", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:36Z", "type": "Dataset", "title": "Replication Data for: Cross-validation data for Hamilton et al. North Ecuador Estuaries.", "description": "Open AccessData includes the study areas from Hamilton et al. 2007 with the AGMB processed according to the data in the Global Mangrove Carbon Stocks Database, excluding soil.", "keywords": ["Earth and Environmental Sciences", "Mangrove", "Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/WNQBBP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/WNQBBP", "name": "item", "description": "10.7910/DVN/WNQBBP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/WNQBBP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10033/622632", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:38Z", "type": "Journal Article", "created": "2020-03-02", "title": "Impact of process temperature and organic loading rate on cellulolytic / hydrolytic biofilm microbiomes during biomethanation of ryegrass silage revealed by genome-centered metagenomics and metatranscriptomics", "description": "Abstract Background

Anaerobic digestion (AD) of protein-rich grass silage was performed in experimental two-stage two-phase biogas reactor systems at low vs. increased organic loading rates (OLRs) under mesophilic (37\uffe2\uff80\uff89\uffc2\uffb0C) and thermophilic (55\uffe2\uff80\uff89\uffc2\uffb0C) temperatures. To follow the adaptive response of the biomass-attached cellulolytic/hydrolytic biofilms at increasing ammonium/ammonia contents, genome-centered metagenomics and transcriptional profiling based on metagenome assembled genomes (MAGs) were conducted.

Results

In total, 78 bacterial and archaeal MAGs representing the most abundant members of the communities, and featuring defined quality criteria were selected and characterized in detail. Determination of MAG abundances under the tested conditions by mapping of the obtained metagenome sequence reads to the MAGs revealed that MAG abundance profiles were mainly shaped by the temperature but also by the OLR. However, the OLR effect was more pronounced for the mesophilic systems as compared to the thermophilic ones. In contrast, metatranscriptome mapping to MAGs subsequently normalized to MAG abundances showed that under thermophilic conditions, MAGs respond to increased OLRs by shifting their transcriptional activities mainly without adjusting their proliferation rates. This is a clear difference compared to the behavior of the microbiome under mesophilic conditions. Here, the response to increased OLRs involved adjusting of proliferation rates and corresponding transcriptional activities. The analysis led to the identification of MAGs positively responding to increased OLRs. The most outstanding MAGs in this regard, obviously well adapted to higher OLRs and/or associated conditions, were assigned to the order Clostridiales (Acetivibrio sp.) for the mesophilic biofilm and the orders Bacteroidales (Prevotella sp. and an unknown species), Lachnospirales (Herbinix sp. and Kineothrix sp.) and Clostridiales (Clostridium sp.) for the thermophilic biofilm. Genome-based metabolic reconstruction and transcriptional profiling revealed that positively responding MAGs mainly are involved in hydrolysis of grass silage, acidogenesis and / or\uffc2\uffa0acetogenesis.

Conclusions

An integrated -omics approach enabled the identification of new AD biofilm keystone species featuring outstanding performance under stress conditions such as increased OLRs. Genome-based knowledge on the metabolic potential and transcriptional activity of responsive microbiome members will contribute to the development of improved microbiological AD management strategies for biomethanation of renewable biomass.

", "keywords": ["Integrated -omics", "Bioconversion", "0301 basic medicine", "2. Zero hunger", "570", "0303 health sciences", "Polyomics", "Integrated-omics", "Metagenome assembled genomes", "Biogas", "Microbial community structure", "15. Life on land", "Microbiology", "7. Clean energy", "QR1-502", "6. Clean water", "3. Good health", "Environmental sciences", "03 medical and health sciences", "13. Climate action", "Anaerobic digestion", "Metabolic activity", "GE1-350", "Methane", "Research Article"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1186/s40793-020-00354-x.pdf"}, {"href": "https://doi.org/10033/622632"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Microbiome", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10033/622632", "name": "item", "description": "10033/622632", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10033/622632"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-02T00:00:00Z"}}, {"id": "10.7910/DVN/XC7UPO", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:36Z", "type": "Dataset", "created": "2016-01-01", "title": "A database for multi-dimensional effects of tropical forage technologies in Sub-Saharan Africa", "description": "Small-scale livestock productivity in Sub-Saharan Africa (SSA) has been limited mainly by the lack of adequate quality feeds. This database contains data on effects of tropical forage technologies from 72 pre-selected experimental studies from across SSA. The experimental studies were selected and compiled following a well-defined systematic literature search of peer-reviewed articles in Scopus conducted in June 2016. The systematic search of studies was complemented with references cited in the primary literature including unpublished studies from the authors\u2019 personal networks. The database contains data from four technology clusters (improved feed regime, improved germplasm, improvement management, improved cropping system integration), and includes effects on quality and quantity of forage, livestock productivity, soil quality, economic performance, and food crop productivity.", "keywords": ["integrated crop-livestock systems", "sistemas pecuarios", "HERBACEOUS PLANTS", "CROPPING SYSTEMS", "MULTI-DIMENSIONAL IMPACTS", "SOIL ORGANIC CARBON", "feed grasses", "herbaceous plants", "HERBACEOUS LEGUME", "livestock productivity", "FORAGE", "CROP-LIVESTOCK SYSTEMS", "LIVESTOCK PRODUCTIVITY", "FORAGE AGRONOMY", "FORAGE GRASS", "2. Zero hunger", "FEED GRASSES", "Crops for Nutrition and Health", "agronomy", "Agricultural Sciences", "forage grass", "sustainable intensification", "agricultural productivity", "livestock systems", "cropping systems", "15. Life on land", "SUSTAINABLE INTENSIFICATION", "AGRICULTURAL PRODUCTIVITY", "soil organic carbon", "multi-dimensional impacts", "plantas herb\u00e1ceas", "Earth and Environmental Sciences", "forage agronomy", "LIVESTOCK SYSTEMS", "Africa", "sistemas integrados de producci\u00f3n agropecuaria", "CGIAR Research Program on Livestock", "crop-livestock systems", "herbaceous legume", "AGRONOMY", "INTEGRATED CROP-LIVESTOCK SYSTEMS"], "contacts": [{"organization": "Paul, Birthe, Koge, Jessica, Nderi, Alex N., Maass, Brigitte L., Notenbaert, An Maria Omer, Groot, Jeroen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/XC7UPO"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/XC7UPO", "name": "item", "description": "10.7910/DVN/XC7UPO", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/XC7UPO"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environment&offset=4550&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=Environment&offset=4550&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environment&offset=4500", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environment&offset=4600", "hreflang": "en-US"}], "numberMatched": 6706, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T10:17:18.095138Z"}