{"type": "FeatureCollection", "features": [{"id": "10.5061/dryad.b935c05", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:12Z", "type": "Dataset", "title": "Data from: Simplification of shade tree diversity reduces nutrient cycling resilience in coffee agroforestry", "description": "unspecified1. Agroforestry systems are refuges for biodiversity and provide multiple ecosystem functions and services. Diverse multispecies shade tree canopies are increasingly replaced by monospecific shade, often dominated by non-native tree species. The loss of tree diversity and the nature of the dominating tree can have strong implications for ecosystem functions, e.g. nutrient cycling ultimately reducing crop production. 2. To understand direct and indirect impacts of shade trees on nutrient cycling and crop production, we studied coffee agroforestry systems in India along a gradient from native multispecies canopies to Grevillea robusta (Proteaceae) -dominated canopy cover. We identified 25 agroforests, across a broad rainfall and management gradient and assessed litter quantity and quality, decomposition, nutrient release, soil fertility and coffee nutrient limitations. 3. Increasing G. robusta dominance affected nutrient cycling predominantly by; (1) changing of litter phenology, (2) reducing phosphorus (P), potassium (K), magnesium (Mg), boron (B), and zinc (Zn) inputs via litterfall, decelerated litter decomposition and immobilization of P and Zn due to low quality litter, (3) reducing soil carbon (C) and micronutrients (especially sulphur (S), Mg and B). Coffee plants were deficient in several nutrients (nitrogen (N), calcium (Ca), manganese (Mn), Mg and S in organic and B in conventional management). (4) Overall G. robusta dominated agroforests were characterized by a reduction of P cycling due to low inputs, strong immobilization while decomposition and antagonistic effects on its release in litter mixtures with coffee. 4. Synthesis and applications. The conversion of shade cover in coffee agroforestry systems from diverse tree canopies to canopies dominated by Grevillea robusta (Proteaceae) reduces the inputs and cycling of several micro- and macronutrients. Soil fertility is therefore expected to decline in G. robusta dominated systems, with likely impacts on coffee production. These negative effects might increase under the longer dry periods projected by regional climate change scenarios due to the pronounced litter phenology of G. robusta. Maintaining diverse shade canopies can more effectively sustain micro- and macronutrients in a more seasonal climate.", "keywords": ["2. Zero hunger", "Intensification", "Grevillea robusta", "Coffea canephora", "13. Climate action", "India", "15. Life on land", "shading", "rainfall gradient", "Nutrient cycle"], "contacts": [{"organization": "Nesper, Maike, Kueffer, Christoph, Krishnan, Smitha, Kushalappa, Cheppudira G., Ghazoul, Jaboury,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.b935c05"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.b935c05", "name": "item", "description": "10.5061/dryad.b935c05", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.b935c05"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-04T00:00:00Z"}}, {"id": "10.5061/dryad.bn7j3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:12Z", "type": "Dataset", "title": "Data from: Elevated CO2 and temperature increase soil C losses from a soybean-maize ecosystem", "description": "unspecifiedWarming temperatures and increasing CO2 are likely to have large effects on the amount of carbon stored in soil, but predictions of these effects are poorly constrained. We elevated temperature (canopy: +2.8 \u00b0C; soil growing season: +1.8 \u00b0C; soil fallow: +2.3 \u00b0C) for 3 years within the 9th\u201311th years of an elevated CO2 (+200 ppm) experiment on a maize\u2013soybean agroecosystem, measured respiration by roots and soil microbes, and then used a process-based ecosystem model (DayCent) to simulate the decadal effects of warming and CO2 enrichment on soil C. Both heating and elevated CO2 increased respiration from soil microbes by ~20%, but heating reduced respiration from roots and rhizosphere by ~25%. The effects were additive, with no heat \u00d7 CO2 interactions. Particulate organic matter and total soil C declined over time in all treatments and were lower in elevated CO2 plots than in ambient plots, but did not differ between heat treatments. We speculate that these declines indicate a priming effect, with increased C inputs under elevated CO2 fueling a loss of old soil carbon. Model simulations of heated plots agreed with our observations and predicted loss of ~15% of soil organic C after 100 years of heating, but simulations of elevated CO2 failed to predict the observed C losses and instead predicted a ~4% gain in soil organic C under any heating conditions. Despite model uncertainty, our empirical results suggest that combined, elevated CO2 and temperature will lead to long-term declines in the amount of carbon stored in agricultural soils.", "keywords": ["2. Zero hunger", "DayCent", "Glycine max", "13. Climate action", "SoyFACE", "Soil respiration", "15. Life on land", "priming", "Zea mays"]}, "links": [{"href": "https://doi.org/10.5061/dryad.bn7j3"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.bn7j3", "name": "item", "description": "10.5061/dryad.bn7j3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.bn7j3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-25T00:00:00Z"}}, {"id": "10.5061/dryad.c59zw3rf9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "created": "2023-09-28", "title": "Fungal necromass is reduced by intensive drought in subsoil but not in topsoil", "description": "unspecifiedFungal necromass is reduced by intensive drought in subsoil but not in topsoil [Access this dataset on Dryad] (DOI: 10.5061/dryad.c59zw3rf9) A drought simulation experiment was conducted on a poplar plantations in Jiangsu, China. In this study, the precipitation input was controlled by the rain canopy to simulate different drought conditions. We established three treatments, including a control without throughfall reduction (CK); moderate treatment with a 30% throughfall reduction (D30%); and intensive treatment with a 50% throughfall reduction (D50%). Each treatment was set up with three replicates for a total of nine plots. Soil samples were extracted from all nine plots in 2021 (January in Winter, April in Spring, July in Summer, and October in Autumn). The soil samples collected for each plot are divided into 0-15cm topsoil and 15-30cm subsoil. We measured the content of microbial necromass in these soil samples as well as soil properties. Based on these data, we analyzed the ecological correlations between soil depth, drought intensity, soil properties and microbial necromass. ## Description of the data and file structure This dataset showed the raw data we used in the manuscript. [Treatments] CK means soil samples without throughfall removal, D30% means soil samples with 30% throughfall removal, and D50% implies soil samples with 50% throughfall removal. [Variables] Temp means soil temperature, Mois means soil moisture, FNC means fungal necromass carbon , BNC means beterial necromass carbon and TNC means total necromass carbon. The TNC=FNC+BNC. [Seasons] Win: Winter (January, 2021); Spr: Spring (April, 2021); Sum: Summer (July, 2021); Aut: Auntumn (October, 2021). *These data is aggregated in an Excel file that can be accessed and observed in the corresponding tabs. ## Code/Software This data file can be opened and accessed using Microsoft Excel.", "keywords": ["2. Zero hunger", "soil organic carbon", "fungal necromass", "13. Climate action", "soil depth", "bacterial necromass", "15. Life on land", "throughfall removal", "6. Clean water", "FOS: Natural sciences"], "contacts": [{"organization": "Liu, Yuwei, Zou, Xiaoming, Chen, Han, Baquerizo, Manuel Delgado, Wang, Cuiting, Zhang, Chen, Ruan, Honghua,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.c59zw3rf9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.c59zw3rf9", "name": "item", "description": "10.5061/dryad.c59zw3rf9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.c59zw3rf9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-02T00:00:00Z"}}, {"id": "10.5061/dryad.c85gk", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "title": "Data from: Plant-soil interactions shape the identity and persistence of soil organic carbon in invaded ecosystems: implication for legacy effects", "description": "unspecified1. Introduced, invasive plants can alter local soil chemistry and microbial communities, but the underlying mechanisms and extent of these changes are largely unknown. Based on characteristics associated with invasiveness in plants, it was hypothesized that introduced species that produce large amounts of litter with distinctive secondary compounds can a) alter the chemistry of both extractable and bulk carbon in the soil, b) shift microbial communities towards microbes better able to metabolize the compounds in the litter, and c) cause soil carbon chemistry and microbial communities to shift to relatively uniform, novel states at multiple sites. 2. Composition of phenolics in senescent tissues (leaves and roots) of Polygonum cuspidatum was compared to the composition of extractable phenolics and non-extractable bulk organic carbon in soils under and adjacent to large, long-established stands of P. cuspidatum at four sites in the eastern U.S. Rates of degradation of phenolics, activities of enzymes associated with the breakdown of phenolics, and shifts in microbial community composition were also measured at the sites. 3. Soils under P. cuspidatum stands contained twice as much phenolics as adjacent soils, but the composition of phenolics differed greatly between soils under stands and senescent tissues of P. cuspidatum. Flavonoids and proanthocyanidins constituted >90% of the identified phenolics in P. cuspidatum tissues, whereas monophenolic compounds accounted for > 90% of the phenolics in soils under stands. Soils under and adjacent to stands also exhibited distinctive compositions of relatively persistent bulk organic carbon; composition differed less between soils under stands at different sites than between soils under and adjacent to stands at the same site. 4. Soils under P. cuspidatum had 2.8 times greater abundance of fungi than soils adjacent to stands, and fungal markers showed clear separation of soils under and adjacent to P. cuspidatum. However, the potential activity of enzymes that degrade polyphenols was lower in soils under stands. Exogenously applied chemically complex polyphenols persisted in both P. cuspidatum invaded and adjacent non-invaded soils, whereas less complex compounds rapidly disappeared from both soils. 5. Synthesis. Results suggest that interactions between plant inputs, abiotic reactions, and biotic transformations may create and maintain new states in invaded soils that are chemically and biologically less diverse. In the case of polyphenol rich, fast growing invasive species, these interactions may alter the composition of bulk soil organic matter that has slower turnover rates, resulting in legacy effects. Restoration could thus require, not just removal of the species, but also post-removal interventions such as soil amendments.", "keywords": ["Flavonoids", "Peroxidases", "Mass spectrometry", "tannins", "Fallopia japonica", "Japanese knotweed", "Reynoutria japonica", "Polyphenols", "home-field advantage", "Legacy effect", "15. Life on land", "soil enzymes"], "contacts": [{"organization": "Suseela, Vidya, Alpert, Peter, Nakatsu, Cindy H., Armstrong, Arthur, Tharayil, Nishanth,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.c85gk"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.c85gk", "name": "item", "description": "10.5061/dryad.c85gk", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.c85gk"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-24T00:00:00Z"}}, {"id": "10.5061/dryad.cb7tp6m", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "title": "Data from: Effects of aridity on soil microbial communities and functions across soil depths on the Mongolian Plateau", "description": "unspecified1. Arid and semi-arid grassland ecosystems cover about 15% of the global land surface and provide vital soil carbon (C) and nitrogen (N) sequestration. Although half of the soil C and N is stored in deep soils (below 30 cm), no regional-scale study of microbial properties and their functions through the soil profile has been conducted in these drylands. 2. To explore the distribution and determinants of microbial properties and C and N mineralization rates through soil profile along aridity gradient at a regional scale, we investigated these variables for four soil layers (0-20, 20-40, 40-60, and 60-100 cm) in 132 plots on the Mongolia Plateau. 3. Soil microbial properties (biomass and bacteria:fungi ratio) and C and N mineralization rates decreased with increasing soil depth and aridity at the regional scale. Aridity-induced declines in soil microbial properties mainly resulted from the negative effects of aridity on ANPP/root biomass and soil organic C (SOC) in the surface soil layers (0-20 and 20-40 cm) but from the direct and indirect (via SOC and soil C/N) negative effects of aridity in the deep soil layers (40-60 and 60-100 cm). 4. Aridity-induced declines in soil C mineralization rates mainly resulted from the negative indirect effect of aridity on SOC and microbial properties in each soil layer, with weaker effects of SOC and stronger effects of soil microbes in the deep soil layers. Aridity-induced declines in soil N mineralization rates mainly resulted from the negative indirect effect of aridity on SOC in the three soil layers above 60 cm and mainly resulted from the negative direct effect of aridity in the 60-100 cm soil layer. 5. Aridity via direct or indirect effects strongly determined the patterns of soil microbial properties and C and N mineralization throughout soil profiles on the Mongolian Plateau. These findings suggest that the increases in aridity are likely to induce changes in soil microorganisms and their associated functions across soil depths of semi-arid grasslands, and future models should consider the dynamic interactions between substrates and microbial properties across soil depths in global drylands.", "keywords": ["2. Zero hunger", "biogeographical patterns", "soil carbon mineralization", "13. Climate action", "microbial community structure", "semi-arid grasslands", "depth profile", "15. Life on land", "soil nitrogen mineralization"], "contacts": [{"organization": "Chen, Dima, Saleem, Muhammad, Cheng, Junhui, Mi, Jia, Chu, Pengfei, Tuvshintogtokh, Indree, Hu, Shuijin, Bai, Yongfei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.cb7tp6m"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.cb7tp6m", "name": "item", "description": "10.5061/dryad.cb7tp6m", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.cb7tp6m"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-14T00:00:00Z"}}, {"id": "10.5061/dryad.cjsxksncn", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "created": "2023-10-13", "title": "Tillage agriculture and afforestation threaten tropical savanna plant communities across a broad rainfall gradient in India", "description": "unspecifiedThe consequences of land-use change for savanna biodiversity remain undocumented in most regions of tropical Asia. One such region is western Maharashtra, India, where old-growth savannas occupy a broad rainfall gradient and are increasingly rare due to agricultural conversion and afforestation. To understand the consequences of land-use change, we sampled herbaceous plant communities of old-growth savannas and three alternative land-use types: tree plantations, tillage agriculture, and agricultural fallows (n=15 sites per type). Study sites spanned 457 to 1954 mm of mean annual precipitation\u2014corresponding to the typical rainfall range of mesic savannas globally. Across the rainfall gradient, we found consistent declines in old-growth savanna plant communities due to land-use change. Local-scale native species richness dropped from a mean of 12 species/m2 in old-growth savannas to 8, 6, and 3 species/m2 in tree plantations, fallows, and tillage agriculture, respectively. Cover of native plants declined from a mean of 49% in old-growth savannas to 27% in both tree plantations and fallows, and 4% in tillage agriculture. Reductions in native cover coincided with increased cover of invasive species in tree plantations (18%), fallows (18%), and tillage agriculture (3%). In analyses of community composition, tillage agriculture was most dissimilar to old-growth savannas, while tree plantations and fallows showed intermediate dissimilarity. These compositional changes were driven partly by the loss of characteristic savanna species: 65 species recorded in old-growth savannas were absent in other land uses. Indicator analysis revealed 21 old-growth species, comprised mostly of native savanna specialists. Indicators of tree plantations (9 species) and fallows (13 species) were both invasive and native species, while the 2 indicators of tillage agriculture were invasive. As reflective of declines in savanna communities, mean native perennial graminoid cover of 27% in old-growth savannas dropped to 9%, 7%, and 0.1% in tree plantations, fallows, and tillage agriculture, respectively. Synthesis: Agricultural conversion and afforestation of old-growth savannas in India destroys and degrades herbaceous plant communities that do not spontaneously recover on fallowed land. Efforts to conserve India\u2019s native biodiversity should encompass the country\u2019s widespread savanna biome and seek to limit conversion of irreplaceable old-growth savannas.", "keywords": ["2. Zero hunger", "land use change", "13. Climate action", "plant species richness", "India", "Biodiversity", "15. Life on land", "grassland", "herbivores", "fire", "FOS: Natural sciences"], "contacts": [{"organization": "Nerlekar, Ashish, Munje, Avishkar, Mhaisalkar, Pranav, Hiremath, Ankila, Veldman, Joseph,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.cjsxksncn"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.cjsxksncn", "name": "item", "description": "10.5061/dryad.cjsxksncn", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.cjsxksncn"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-17T00:00:00Z"}}, {"id": "10.5061/dryad.c866t1gfw", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "created": "2024-06-14", "title": "Data from: Arbuscular mycorrhizal communities respond to nutrient enrichment and plant invasion in phosphorus-limited eucalypt woodlands", "description": "unspecified# Arbuscular mycorrhizal communities respond to nutrient enrichment and plant invasion in phosphorus-limited eucalypt woodlands [https://doi.org/10.5061/dryad.c866t1gfw](https://doi.org/10.5061/dryad.c866t1gfw) This data was used to conduct all analyses of the linked article. It contains treatments allocated to each sample, as well as all soil chemistry, vegetation, and arbuscular mycorrhizal fungi (AMF) variables ## Description of the data and file structure Three data files are provided: a raw community matrix of AMF (i.e. prior rarefaction), a raw community matrix of plants, and a data frame with the other is the environmental data frame with\u00a0all soil chemistry, vegetation cover and richness, and AMF richness. Please refer to the published article for methodology on how these data were collected. All three data files are connected by the 'sample' column from each data file. Each data file is in excel form and has two sheets: one with the data, and one with the metadata that explains each column. Missing data code: NA", "keywords": ["nutrient enrichment", "Mucoromycotina", "FOS: Biological sciences", "Arbuscular mycorrhizal fungi", "Glomeromycotina", "Ecosystem degradation", "Ecological restoration", "Mediterranean-climate eucalypt woodlands", "plant invasion"], "contacts": [{"organization": "Albornoz, Felipe, Prober, Suzanne, Bissett, Andrew, Tibbett, Mark, Standish, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.c866t1gfw"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.c866t1gfw", "name": "item", "description": "10.5061/dryad.c866t1gfw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.c866t1gfw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-19T00:00:00Z"}}, {"id": "10.5061/dryad.crjdfn327", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "title": "Effect of soil carbon amendments in reversing the legacy effect of plant invasion", "description": "1. Invasive plant species are key drivers of global environmental changes leading to the disruption of ecosystems they invade. Many invasive species engage in novel niche construction through plant-soil feedbacks facilitated by the input of secondary compounds, which help their further spread and survival. These compounds can persist in soil even after the removal of the invader thus creating a legacy effect that inhibits the return of native flora and fauna. Thus, formulating active intervention strategies that can reverse niche construction is critical for the restoration of these invaded ecosystems. 2. We hypothesized that the management practices that can reverse the soil carbon and nutrient cycling in invaded ecosystems can facilitate the rapid restoration of the invaded sites. We predicted that adding soil C amendments such as activated carbon and biochar can alter the microbial functional activity and nutrient cycling leading to the restoration of invaded habitats. We tested this hypothesis in an old-field in Massachusetts that has been invaded by Japanese knotweed (Polygonum cuspidatum) for >20 years. 3. After two years of treatment application, the activated carbon and biochar amended plots had 80% more biomass of the prairie species than the control plots. The C amendments also altered soil nutrient cycling and fungal biomass and enzyme activity compared to the control plots. The nitrate content of C amended plots was 5 times higher than the non-amended control plots indicating an increased nitrogen mineralization in C amended plots potentially due to the sorption of phenolic compounds by activated carbon and biochar that makes them unavailable. This was further supported by the increased phenol oxidase activity which might have been less inhibited by tannins and led to increased organic matter decomposition. 4. Synthesis and conclusions: Our results thus reveal the potential of soil C amendments in reversing niche construction and legacy effects of polyphenol-rich invasive species and indicate that biochar could be a more economically feasible alternative to activated carbon in restoring invaded ecosystems. Our results also emphasize that understanding the mechanism through which invasive species engage in niche construction is vital in formulating suitable knowledge-based restoration practices for invaded ecosystems.", "keywords": ["2. Zero hunger", "13. Climate action", "Activated carbon", "Japanese knotweed", "biochar", "phenolic compounds", "Legacy effect", "15. Life on land"], "contacts": [{"organization": "Suseela, Vidya, Zhang, Ziliang, Bhowmik, Prasanta,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.crjdfn327"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.crjdfn327", "name": "item", "description": "10.5061/dryad.crjdfn327", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.crjdfn327"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-20T00:00:00Z"}}, {"id": "10.5061/dryad.djh9w0w67", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "created": "2023-11-08", "title": "Data for: Stabilisation of soil organic matter with rock dust partially counteracted by plants", "description": "unspecifiedIn this study, the effect of rock dust addition on both soil inorganic and organic carbon contents was investigated. Soil chemical changes were measured, including soil organic carbon (totals and fractions), soil inorganic carbon, pH, electric conductivity, and water-extractable and ammonium acetate-extractable ion levels (Ca, Mg, Al, Fe, Mn, Fe, Zn, Si). In addition, the effect of plants on soil chemistry and rocks on plant growth (biomass) and plant ion uptake was studied. The results demonstrated rock weathering during the 6 months incubation period and a stabilisation of organic carbon. Plants partially counteracted the stabilisation of soil organic carbon. This was attributed to interactions between soil chemical changes induced by rock dust, plant exudation, and subsequent soil organic carbon stabilisation mechanisms.", "keywords": ["2. Zero hunger", "soil organic carbon", "soil carbon sequestration", "13. Climate action", "Particulate organic matter", "aggregate carbon", "FOS: Earth and related environmental sciences", "15. Life on land", "enhanced rock weathering", "Basalt", "mineral associated organic matter", "6. Clean water", "inorganic carbon"], "contacts": [{"organization": "Buss, Wolfram, Hasemer, Heath, Ferguson, Scott, Borevitz, Justin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.djh9w0w67"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.djh9w0w67", "name": "item", "description": "10.5061/dryad.djh9w0w67", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.djh9w0w67"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-27T00:00:00Z"}}, {"id": "10.5061/dryad.dr7sqv9w9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "title": "Climate more important than soils for predicting forest biomass at the continental scale", "description": "unspecifiedAbove-ground biomass in forests is critical to the global carbon cycle as it stores and sequesters carbon from the atmosphere. Climate change will disrupt the carbon cycle hence understanding how climate and other abiotic variables determine forest biomass at broad spatial scales is important for validating and constraining Earth System models and predicting the impacts of climate change on forest carbon stores. We examined the importance of climate and soil variables to explaining above-ground biomass distribution across the Australian continent using publicly available biomass data from 3130 mature forest sites, in 6 broad ecoregions, encompassing tropical, subtropical, and temperate biomes. We used the Random Forest algorithm to test the explanatory power of 14 abiotic variables (8 climate, 6 soil) and to identify the best-performing models based on climate-only, soil-only, and climate plus soil. The best performing models explained ~50% of the variation (climate-only: R2 = 0.47 \u00b1 0.04, and climate plus soils: R2 = 0.49 \u00b1 0.04). Mean temperature of the driest quarter was the most important climate variable, and bulk density was the most important soil variable. Climate variables were consistently more important than soil variables in combined models, and model predictive performance was not substantively improved by the inclusion of soil variables. This result was also achieved when the analysis was repeated at the ecoregion scale. Predicted forest above-ground biomass ranged from 18 to 1066 Mg ha-1, often under-predicting measured above-ground biomass, which ranged from 7 to 1500 Mg ha-1. This suggested that other non-climate, non-edaphic variables impose a substantial influence on forest above-ground biomass, particularly in the high biomass range. We conclude that climate is a strong predictor of above-ground biomass at broad spatial scales and across large environmental gradients, yet to predict forest above-ground biomass distribution under future climates, other non-climatic factors must also be identified.", "keywords": ["13. Climate action", "Above-ground biomass", "continental scale", "15. Life on land"], "contacts": [{"organization": "Bennett, Alison, Penman, Trent, Arndt, Stefan, Roxburgh, Stephen, Bennett, Lauren,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.dr7sqv9w9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.dr7sqv9w9", "name": "item", "description": "10.5061/dryad.dr7sqv9w9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.dr7sqv9w9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-07T00:00:00Z"}}, {"id": "10.5061/dryad.f1b82", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:13Z", "type": "Dataset", "title": "Data from: Nitrogen fertilization challenges the climate benefit of cellulosic biofuels", "description": "unspecifiedCellulosic biofuels are intended to improve future energy and climate security. Nitrogen (N) fertilizer is commonly recommended to stimulate yields but can increase losses of the greenhouse gas nitrous oxide (N2O) and other forms of reactive N, including nitrate. We measured soil N2O emissions and nitrate leaching along a switchgrass (Panicum virgatum) high resolution N-fertilizer gradient for three years post-establishment. Results revealed an exponential increase in annual N2O emissions that each year became stronger (R 2 > 0.9, P < 0.001) and deviated further from the fixed percentage assumed for IPCC Tier 1 emission factors. Concomitantly, switchgrass yields became less responsive each year to N fertilizer. Nitrate leaching (and calculated indirect N2O emissions) also increased exponentially in response to N inputs, but neither methane (CH4) uptake nor soil organic carbon changed detectably. Overall, N fertilizer inputs at rates greater than crop need curtailed the climate benefit of ethanol production almost two-fold, from a maximum mitigation capacity of \u22125.71 \u00b1 0.22 Mg CO2e ha\u22121 yr\u22121 in switchgrass fertilized at 56 kg N ha\u22121 to only \u22122.97 \u00b1 0.18 Mg CO2e ha\u22121 yr\u22121 in switchgrass fertilized at 196 kg N ha\u22121. Minimizing N fertilizer use will be an important strategy for fully realizing the climate benefits of cellulosic biofuel production.", "keywords": ["2. Zero hunger", "Switchgrass", "Panicum virgatum", "13. Climate action", "nitrate leaching", "IPCC emission factor", "methane (CH4) oxidation", "15. Life on land", "7. Clean energy", "Life cycle analysis", "nitrous oxide (N2O)", "6. Clean water", "nitrogen fertilizer"], "contacts": [{"organization": "Ruan, Leilei, Bhardwaj, Ajay K., Hamilton, Stephen K., Robertson, G. Philip,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.f1b82"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.f1b82", "name": "item", "description": "10.5061/dryad.f1b82", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.f1b82"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-28T00:00:00Z"}}, {"id": "10.5061/dryad.ffbg79d23", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:14Z", "type": "Dataset", "created": "2024-01-08", "title": "An isotope study on Nitrogen and Phosphorus use efficiency and movement in soil in a mimicked vermicompost-based organo-mineral fertilizer", "description": "unspecifiedPot Experiment Setup To assess N and P uptake by Italian ryegrass, a pot experiment was carried out for 8 weeks. Vermicompost (VC), a 15N-labeled N solution (Nsol) and a 33P-labeled P solution (Psol) were used to fertilize the soil and create the different treatments. A commercial vermicompost of bovine manure produced in Northwestern Italy was used in this study (Fig. S1). The commercial vermicompost was air-dried and milled to <2 mm. The vermicompost was characterized using the official methods of the Regione-Piemonte (1998). The residual humidity content of the dry vermicompost was 432 g kg-1, the pH in a water suspension (1:10) was 9.9, the Corg value in dry matter was 198 g kg-1 DM , the total P was 9 g kg-1 DM , and the total N was 14.8 g kg-1 DM. Ammonium sulfate ((NH4)2SO4) and potassium phosphate (KH2PO4) were used to prepare separate aqueous solution of 80.3 \u00b5g N ml-1 and 28.5 \u00b5g P ml-1, respectively. The Nsol was prepared by dissolving 9.57 mg of (NH4)2SO4 and 9.53 mg of 10 atom% 15N((NH4)2SO4 into 50 ml of Milli-Q water, resulting in a N solution with 5.5 atom% 15N abundance. On the same day of sowing, the Psol was prepared by dissolving 625 mg of KH2PO4 into 50 ml of Milli-Q water, and labeled by adding carrier-free 33P orthophosphate (Hartmann Analytics) solution to reach a specific activity of 10.7 kBq mg-1 P. Although creating a granular or pelletized OMF would have been ideal for testing potential physical interactions between vermicompost and the mineral fertilizers, this effect was not addressed in this research because of the difficulties in producing and OMF labelled with a radioisotope P tracer. Therefore, the vermicompost and the fertilizer solutions were used to mimicking an OMF granule by mixing them together in the soil. Treatments included two mixtures of vermicompost with mineral fertilizers at a ratio between Corg \u2013 N \u2013 P205 ratio of 7.5 \u2013 20 \u2013 10 (OMF7.5C) and 15 \u2013 20 \u2013 10 (OMF15C). Controls included unfertilized soil (N0P0), soil fertilized with only mineral N (MFN), only mineral P (MFP), mineral N and P (MFNP), and vermicompost at the same rates as OMF7.5C (OF7.5C) and OMF15C (OF15C). With the Pmin fertilization (Fig. S2), soils from the pot experiment received an activity of 314 Bq g-1 soil. The soil for the experiment was collected from the experimental station of Tetto Frati of the University of Turin, in NW Italy (44\u00b0 53\u2032 N, 7\u00b0 41\u2032 E; elevation 245 m). Soil was collected from the first 0.2 m of the top layer of a plot managed with maize monoculture, regularly plowed and fertilized as the typical agronomic management of the area. The soil was sieved to 5 mm and air-dried for approximately four months prior to the start of the experiment. The soil chemical characteristics measured before the beginning of the experiment indicated a low content in both plant-available N and P. Before starting the pot experiment, the bulk soil was fertilized with nutrient solutions adding 300 mg K, 60 mg Ca, 50 mg Mg, 1 mg Zn, 0.1 mg Mo, 1 mg Fe, 1 mg B, 2 mg Mn, 2 mg Cu and 0.1 mg Co per kg-1 soil to avoid any possible complementary nutrient deficiency. After fertilization, the soil was humidified to 45 % of its water holding capacity (corresponding to 109 g per kg of dry soil) and pre-incubated during 10 days at 22 \u00b0C to boost soil microbial activity. After pre-incubation, the pots were filled with the equivalent of 1 kg of air-dried soil and fertilized according to treatments. For the fertilization, two holes of 2 cm of depth and 0.5 cm of diameter were made in each pot, and on day 0, each of them was fertilized. Immediately after fertilization, 0.75 g seeds of Italian ryegrass (Lolium multiflorum var. Gemini) were distributed uniformly over the soil and then covered with 100 g of pure sand. The pots were kept in a greenhouse at 24 and 20 \u00b0C, with 12 hours light, and 65% air humidity. Soils were irrigated daily based on weight loss. To satisfy the crop requirements, irrigation was increased to keep 60 % of field capacity during the first 2 weeks, and then up to 70 % of field capacity until the final harvest. The first harvest was made 4 weeks (Fig. S3) after sowing and a second harvest was made after 4 further weeks. The harvest consisted in cutting the whole biomass at approximately 1 cm above the soil surface. Each treatment had 4 replicates. Pots were completely randomized three times per week. Incubation Experiment Setup An incubation experiment was performed to assess the influence of the vermicompost on the nutrient availability and flow from the mineral fertilizers in the soil. Soil fertilizers used were the same as in the pot experiment, but no plants were sown. The treatments for the incubation were MFNP, OMF7.5C and OMF15C. The incubation set-up and soil sampling was adapted from Sica et al. (2023), and consisted in using plastic cylinders of 18 mm of height and 60 mm of diameter. Each experimental unit had two cylinders placed one above the another and was filled with 148.6 g of soil in total. The two cylinders were separated by a nylon net with 45 \u00b5m mesh size that allowed soil solution flow. The top cylinder was fertilized replicating vermicompost, Nsol, and Psol quantities and procedures as for one hole of the pot experiment. On the day of the Pmin fertilization, the Psol had a specific activity of 3.5 kBq mg-1 P.\u00a0 With the Pmin fertilization, soils from the incubation experiment received an activity of 313.5 Bq g-1 soil.\u00a0 The soil in cylinders was humidified to 70 % of field capacity. Experimental units were placed in a box covered with a plastic sheet that did not allow vapor and light flows and kept at the same temperature conditions as the pot experiment for 10 days. Each treatment had 6 experimental units and they were completely randomized. After the incubation, the soil from the top cylinder (topsoil) was collected entirely, while from the bottom cylinder additional soil was collected from the mesh to 6 mm depth (bottom soil). Soil from two randomly chosen experimental units was mixed to reach a higher amount of sample to be analyzed, thus leaving a total of 3 replicates per treatment. Measurements on Plants In the pot experiment, at each harvest, Italian ryegrass shoot biomass was cut and dried at 40 \u00b0C for 72 hours, and then weighted to calculate dry matter yield. Afterwards, all shoot biomass was milled in a rotational miller and stored until analysis. A chemical element analyzer (Vario Pyro cube, Elementar, Germany), coupled to a mass spectrometer (IsoPrime100 IRMS, Isoprime, United Kingdom) was used to analyze total C, total N and 15N/14N from shoot biomass. For determination of P concentrations in shoot tissues, 0.25 g of milled ryegrass shoot biomass were ashed at 450 \u00b0C during 100 min. Subsequently, ashes were dissolved in 3 ml of 15.6 M nitric acid and then the volume was brought up to 25 ml with Milli-Q water. Total P concentration in the extracts was analyzed by colorimetry with malachite green (Ohno & Zibilske, 1991). The 33P radioactivity in biomass was determined using a liquid scintillation counter (TRI CARB 2500 TR, Packard) by mixing 2 ml of extract or solution with 5 ml of a scintillation liquid (Ultima Gold AB, Packard). Values were corrected for quenching and for radioactive decay back to the day of pot fertilization. Measurements on Soil Soil samples of the incubation experiment were dried at 40\u00b0C for 3 days and then ball-milled and stored until analysis. Soil samples were analyzed for concentration of total N and 15N/14N ratio with the same method and instruments as for plant samples. The 15N enrichment of total soil N was then related to the 15N enrichment of the fertilizer and decreasing 15N enrichment of soil N interpreted as less fertilizer N having moved in the respective soil zone/layer (Frick et al., 2022). For determining P contained in soil, soil ashes were obtained similarly to plant biomass ashes. Soil ashes were dissolved into 50 ml of H2SO4 solution (0.5 M). Then, 5 to 10 ml of the solution was filtered with 0.2 \u03bcm syringe filters and stored at 4\u00b0C for 1 day until analysis of radioactivity. Values of 33P radioactivity in extracts were measured 32 days after fertilization following the same procedures as with biomass samples and corrected for radioactive decay by calculating back to day 0 of fertilization. The decrease of the specific activity of the soil P with distance from the fertilizer spot indicated decreasing presence of fertilizer P (as above explained for N). Statistical Analysis Both experiments had a completely randomized design. When testing for differences between treatments over the harvests, a repeated measures ANOVA was used. The incubation experiment was analyzed comparing treatments of each soil layer with a one-way ANOVA using treatment as factor. If significant differences between treatments were found a Tukey\u2019s HSD test was performed as a post hoc comparison. Some values were analyzed as the total production (sums or averages of both harvests, or both soil layers), in those cases data were analyzed by a one-way ANOVA using treatment as factor. All analyses were performed using the software R, version 4.0.5. Package multcompView was used to display post hoc results.", "keywords": ["vermicompost", "FOS: Agricultural sciences", "nutrient use efficiency", "double labeling", "organo-mineral fertilizer"], "contacts": [{"organization": "Sitzmann, Tomas Javier, Sica, Pietro, Zavattaro, Laura, Moretti, Barbara, Grignani, Carlo, Oberson, Astrid,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.ffbg79d23"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.ffbg79d23", "name": "item", "description": "10.5061/dryad.ffbg79d23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.ffbg79d23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-18T00:00:00Z"}}, {"id": "10.5061/dryad.fj6q573x9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:14Z", "type": "Dataset", "title": "A synthesis of nitric oxide emissions across global fertilized croplands from crop-specific emission factors", "description": "Nitrogen (N)-fertilizer application to agricultural soils results in substantial emissions of nitric oxide (NO), a key substance in tropospheric chemistry involved in climate forcing and air pollution. However, estimates of global cropland NO emissions remain uncertain due to a lack of information on direct NO emission factors (EFds) of applied N for variours cropping systems at seasonal or annual scales. Here we quantified the crop-specific seasonal and annual-scale NO EFds through synthesizing 1094 measurements from 125 field-based studies worldwide. The global mean crop-specific seasonal EFd was 0.53%, with the highest for vegetables (0.75%). Among cereal crops, the EFd of maize (0.45%) or wheat (0.47%) was about three-times higher than for rice (0.12%). At annual scale, the mean EFd across all cropping systems was 0.58%, with tea plantations having the highest (1.54%). For other cropping systems, the annual-scale EFds ranged from 0.02% to 1.07%. Besides crop type, also soil organic carbon, total N and pH as well as N fertilizer type were the main factors explaining the variations of NO EFds. Based on obtained specific EFds for each crop type, we estimated that NO emissions due to the use of synthetic fertilizers from global croplands are about 0.42\u20130.62 Tg N yr\u22121. Our budgets are relatively lower if compared to estimates derived by the use of IPCC defaults for NO emissions (0.72\u20131.66 Tg N yr\u22121) or reported elsewhere (0.67\u20131.04 Tg N yr\u22121). In our estimates, cash crops (vegetable, tea and orchard), which cover only 9% of the world cropland area, contributed about 31% to total NO emissions from global fertilized croplands. Overall, our meta-analysis provides improved crop-specific NO EFds reflecting current stage of knowledge. The work also highlights the relative importance of cash crop production as sources for atmospheric NO, i.e., agricultural systems on which mitigation efforts may focus.", "keywords": ["2. Zero hunger", "cropland NO emission", "13. Climate action", "Nitric oxide", "FOS: Earth and related environmental sciences", "15. Life on land", "7. Clean energy"], "contacts": [{"organization": "Wang, Yan, Yao, Zhisheng, Zheng, Xunhua, Subramaniam, Logapragasan, Butterbach-Bahl, Klaus,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.fj6q573x9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.fj6q573x9", "name": "item", "description": "10.5061/dryad.fj6q573x9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.fj6q573x9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-07T00:00:00Z"}}, {"id": "10.5061/dryad.fn2z34v2d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:14Z", "type": "Dataset", "created": "2023-12-05", "title": "Data from: Contrasting drivers of aboveground woody biomass and aboveground woody productivity in lowland forests of Colombia", "description": "unspecified# Contrasting drivers of aboveground woody biomass and aboveground woody productivity in lowland forests of Colombia Tree census data collected at 39 1-ha forest inventory plots situated in the Orinoquia region and Amazonia region of Colombia. Plots were censused between 2005 and 2021. We aim to assess the importance of abiotic and biotic factors in controlling the variation in aboveground biomass stocks and fluxes. In each plot, all stems of trees and palms (hereafter trees) with tree diameter at breast height (DBH; tree diameter at 1.3 m height) \u2265 10 cm were measured. The aboveground biomass (AGB) of each tree was estimated using the allometric equation proposed by Chave et al. (2014). All plots were censused at least twice (elapsed time ranged between 2 and 10 years), and the aboveground woody productivity (AWP in Mg ha-1 y-1), and aboveground woody residence time (AWRT in y) of each plot were estimated. To estimate soil fertility, samples of soil A horizon (i.e., the mineral soil after removing the organic layer) were collected from a minimum of five points in each plot at a depth of 10\u201330 cm. The five samples from each plot were then combined and analyzed. We calculated three metrics of phylogenetic diversity: phylogenetic diversity *sensu stricto* (PD), Net Relatedness Index (NRI) and the Nearest Taxon Index (NTI). NRI and NTI were weighted by abundance. The PD of each plot was calculated as the total sum of the phylogenetic branch lengths connecting the co-occurring species in each plot along the minimum spanning path to the root of the tree. The NRI and NTI are based on the mean pairwise distance and the mean nearest pairwise distance, respectively. We found there were significant differences between flooded and Tierra firme forests in Aboveground biomass and Aboveground Woody Residence Time. These forests are gaining carbon as shown by a positive Aboveground biomass net change. The difference in Aboveground biomass net change between flooded and Tierra firme forests was marginally significant, being negative and with higher variability in flooded than in Tierra firme forests. Diversity, forest structure, climate, and soils were independently correlated with the spatial variation of the Aboveground biomass. when we sequentially removed the variables representing each independent hypothesis, forest structure, here represented by the number of trees with DBH \u2265 70 cm (D70) and mean wood density, had a pure total explained variation of 40 % and the strongest effect in determining the Aboveground biomass All independent variables selected were correlated with the spatial variation of the Aboveground biomass in Tierra firme. The full models for all plots and Tierra firme employed to assess the drivers of Aboveground productivity included soils and forest structure as the most important factors. In both cases, P, Mg, and the number of big trees (D70) were selected as the key drivers of Aboveground productivity. File data set structure: ID plot number, Plot name, Longitude (\u25e6), Latitude (\u25e6), Flooded/Terra firme, Mean annual temperature (\u25e6C)(MAT), Total annual precipitation (mm y-1)(TAP), Precipitation seasonality (PS), Number of individuals (ha-1)(Density), Mean wood density (gr cm-3)( WD_mean), Aboveground biomass (Mg ha-1)(AGB), Aboveground productivity (Mg ha-1 y-1)(AWP), Net carbon change (Mg ha-1 y-1)(Net_change), Elapsed time between censuses (y)( Time (y-1)), Number of genus per plot (Genus), Number of species per plot (Sp), Inverse of Simpson index (Simpson_inv), Net Relatedness Index (NRI), Nearest Taxon Index (NTI), Phylogenetic Diversity (PD), soil pH (pH), Calcium (mg kg-1)(Ca), Potasium\u00a0 (mg kg-1)(K), Magnesium\u00a0 (mg kg-1)(Mg), Sodium\u00a0 (mg kg-1)(Na), Aluminium (mg kg-1)(Al), Cation Excahnge Capacity (CEC), Phosporous (mg kg-1)(P), Organic carbon (%)(CO), Number of trees with DBH \u2265 70 cm ha-1 (D70), Maximum DBH (cm)(Dmax) Note: Plot number in red are the two plots selected from the 25-ha Amacayacu plot with aboveground biomass maximum and minimum values. In blue those for aboveground woody productivity", "keywords": ["productivity-diversity relationship", "FOS: Biological sciences", "soil fertility", "Orinoquia", "phylogenetic diversity", "variance partitioning", "Amazon"], "contacts": [{"organization": "Casta\u00f1o, Nicolas, Pe\u00f1a, Miguel, Gonzalez-Caro, Sebastian, Aldana, Ana, Casas, Luisa, Correa, Diego, Gonz\u00e1lez-Abella, Juan, Pelaez, Natalia, Stevenson, Pablo, Sua, Sonia, Zuleta, Daniel, Duque, Alvaro,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.fn2z34v2d"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.fn2z34v2d", "name": "item", "description": "10.5061/dryad.fn2z34v2d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.fn2z34v2d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-24T00:00:00Z"}}, {"id": "10.5061/dryad.g1jwstqx5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:14Z", "type": "Dataset", "created": "2023-09-27", "title": "Microbial traits dictate soil neromass accumulation coefficient: A global synthesis", "description": "unspecified# Readme **Title** Microbial necromass carbon accumulation coefficients (NAC) dataset **Author** Bingbing Han, Yanzhong Yao, Yini Wang, Xiaoxuan Su, Lihua Ma, Xinping Chen, Zhaolei Li * **Corresponding author:** Zhaolei Li, Professor E-mail: lizhaolei@swu.edu.cn **Correspondence address:** College of Resources and Environment, and Academy of Agricultural Sciences, Southwest University, Chongqing 400715, China **Data abstract** The accumulation of microbial necromass carbon has drawn mounting attention due to the slow decomposition. However, it remains unclear what determines the microbial necromass carbon accumulation via reiterated community turnover on large spatial scales. This study aimed to explore the characteristics of soil necromass carbon accumulation in terrestrial ecosystems. A dataset was compiled with 993 observations on the coefficient of microbial carbon accumulation in the equilibrium from 82 peer-reviewed papers. The linear mixed-effect models and structural equation models were used to ascertain the controlling factors of NAC on a global scale. The average NAC was higher in croplands (28.2) and forests (26.8) than that in grasslands (21.1). Although the edaphic factors seemingly affect the NAC whereby the NAC lowered in soils with high levels of pH and clay content on a global scale, the biotic factors, particularly for the living microorganism abundance and microbial biomass nitrogen content, were the pivotal drivers of NAC that accounted for approximately 42.5% of the geographic variances in NAC. More organic carbon was likely to be preserved in soil with a higher NAC regardless of ecosystem types. Novel findings on the overriding controls from the living microorganism abundance and microbial biomass nitrogen in driving NAC raise an urgent need for viable strategies in manipulating microbial characteristics for carbon sequestrations. **Data collect** The NACs dataset was compiled from peer-reviewed papers. These peer-reviewed papers were obtained by means of two platforms: the Web of Science ([http://apps.webofkonwledge.com](http://apps.webofkonwledge.com)) and the China National Knowledge Infrastructure Database ([http://www.cnki.net](http://www.cnki.net)). At the same time, the papers were supplemented by Google Scholar. The keywords used to search papers are soil microbial biomass AND microbial necromass AND microbial residue * AND amino sugar * AND PLFAs. The publishing date for the peer-reviewed paper was up to January 20, 2023. The eligible peer-reviewed papers matched the following criteria: (1) Soil microbial necromass was measured using amino sugars as markers; (2) The living microorganisms were determined by phospholipid fatty acid (PLFAs). Finally, the NAC dataset was constructed based on the 82 peer-reviewed papers. The details of the experimental site were also extracted from papers, including the geographic information of the experiment site (i.e., latitude and longitude), climate conditions (i.e., mean annual temperature and mean annual precipitation), and ecosystem types (i.e., grasslands, forests, and croplands). Additionally, soil physicochemical properties [soil pH, the ratio of carbon to nitrogen (soil C: N), total nitrogen (TN), bulk density (BD), clay content, and ammonium content (NH4+)] and the number of replicates were also extracted from the articles. Additionally, in the NAC dataset, the empty cells are representing the data scarcity (i.e., NA values). You should know that not every article will contain all the metrics. **Data analysis** The content of fungal and bacterial necromass carbon was calculated based on the concentrations of amino sugar in microbial cell walls: glucosamine and muramic acid. The bacterial necromass carbon and fungal necromass carbon were calculated using equations (1) and (2). where, MurA is muramic acid and GlcN is glucosamine. In equation (1), 45 is the conversion factor from MurA to bacterial necromass carbon; in equation (2), 9 is the conversion factor from GlcN to fungal necromass carbon; while 179.17 and 251.23 are the molecule weights of GlcN and MurA, respectively. Total microbial necromass carbon was the sum of fungal necromass carbon and bacterial necromass carbon. For the absence of microbial biomass carbon (MBC) in some experimental sites. The NAC functions as the ratio of the microbial necromass carbon to microbial biomass carbon: where MBC is soil microbial biomass carbon. The linear mixed-effect models were used to test the bivariate relationship between the NAC and environmental factor by means of *lme4* packages in R (version 4.2.2., R Core Team). The equation (4) was: where NAC refers to the microbial necromass carbon accumulation coefficient, lnX is the logarithm of each edaphic and climatic factor (except for soil pH and fungi: bacteria ratio), refers to the intercept of this model, refers to the slope value, refers to the random effect of study, refers to the sampling error. **Document Type** We will upload it in data _NAC _2023.csv format to the Dryad database. The main variables collected in the data form were muramic acid (MurA) and glucosamine (GlcN). We perform the calculation of NAC based on equations 1, 2, and 3 above. Total biomass represents the abundance of living microorganisms. Fungal biomass represents the abundance of fungi. Bacterial biomass represents the abundance of bacteria. MBC is microbial biomass nitrogen. SOC is soil organic carbon. **Data processing software** We processed the entire set of data by utilizing the R language, version 4.2.2., R Core Team. **Contact Information** **Corresponding author:** Zhaolei Li, Professor **E-mail:** [lizhaolei@swu.edu.cn](mailto:lizhaolei@swu.edu.cn) **ORCID:** [https://orcid.org/0000-0001-8767-1277](https://orcid.org/0000-0001-8767-1277)", "keywords": ["2. Zero hunger", "microbial abundance", "soil carbon sequestration", "microbial necromass carbon", "living microbes", "FOS: Earth and related environmental sciences", "15. Life on land", "microbial carbon pump", "ecosystem type"], "contacts": [{"organization": "Han, Bingbing, Yao, Yan Zhong, Wang, Yini, Su, Xiaoxuan, Ma, Lihua, Chen, Xinping, Li, Zhaolei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.g1jwstqx5"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.g1jwstqx5", "name": "item", "description": "10.5061/dryad.g1jwstqx5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.g1jwstqx5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "10.5061/dryad.g79cnp5qt", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:14Z", "type": "Dataset", "title": "Positive associations of soil organic matter and crop yields across a regional network of working farms", "description": "unspecifiedThe amount of soil organic matter (SOM) is considered a key indicator of soil properties associated with higher fertility. Despite the ubiquity of assumptions surrounding SOM\u2019s contributions to soil functioning, we lack quantitative relationships between SOM and yield outcomes on working farms. We quantified the relationship between SOM and yields of corn (Zea mays L.) and silage for a dataset of 170 fields arrayed across 49 farms in a network of growers based in Wisconsin and Minnesota, USA. As SOM concentrations increase, so do yields, though gains start to level off around 4% SOM. When examining the relationship between yield and soil health indicators representative of biologically active carbon pools, we found that mineralizable carbon (min-C) has a stronger relationship with yield than permanganate oxidizable C (POXC). Mineral fertilizer, manure, and SOM had relationships of similar magnitude with yield, highlighting that SOM in combination with exogenous inputs likely plays an important role in driving agricultural productivity in this region. An SOM by crop rotation interaction indicated that the impact of SOM on crop yields varied depending on rotation (continuous corn versus corn in rotation). That is, continuous corn had lower yields than corn in rotation despite higher SOM concentrations. Our findings provide insight into the relationship between indicators of soil health, farm management, and crop yields for a set of working farms and lend support to the goals of soil health initiatives that rest on building SOM in agricultural soils to improve agricultural outcomes.", "keywords": ["2. Zero hunger", "soil health", "POXC", "soil organic matter", "sustainable intensification", "FOS: Agricultural sciences", "mineralizable carbon", "Sustainable agriculture", "soil quality", "15. Life on land", "crop productivity"], "contacts": [{"organization": "Oldfield, Emily, Bradford, Mark, Augarten, Abigail, Cooley, Eric, Radatz, Amber, Radatz, Timothy, Ruark, Matthew,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.g79cnp5qt"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.g79cnp5qt", "name": "item", "description": "10.5061/dryad.g79cnp5qt", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.g79cnp5qt"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-12T00:00:00Z"}}, {"id": "10.5061/dryad.h1123/1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:15Z", "type": "Dataset", "title": "Stable isotope abundance and nitrogen concentration data of adult orchids, orchid seedlings and autotrophic references.", "description": "Single and mean \u03b415N, \u03b413C, \u03b42H values, enrichment factors \u03b515N, \u03b513C, \u03b52H and total nitrogen concentration data of adult green leaves of 7 Orchidaceae species, fully mycoheterotrophic protocorms of 5 Orchidaceae species and 15 autotrophic reference plant species (n = 105).", "keywords": ["NE Bavaria", "Epipactis palustris", "Orchis militaris", "carbon (C)", "orchid seedlings", "hydrogen (H)", "stable isotopes", "orchid mycorrhiza", "Dactylorhiza majalis", "Ophrys insectifera", "mycoheterotrophy", "Platanthera bifolia", "Gymnadenia conopsea", "Neottia ovata", "Germany", "rhizoctonia", "fungi"], "contacts": [{"organization": "Schweiger, Julienne Marie-Isabelle, Bidartondo, Martin I., Gebauer, Gerhard,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.h1123/1"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.h1123/1", "name": "item", "description": "10.5061/dryad.h1123/1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.h1123/1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5194/acp-20-55-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:21Z", "type": "Journal Article", "created": "2020-01-03", "title": "Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land\u2013atmosphere model (GFDL AM4.0/LM4.0)", "description": "

Abstract. Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally. Here we use satellite products to characterize the frequency of dust events and land surface properties. By matching this frequency derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products with surface winds, we are able to retrieve a climatological monthly global distribution of the wind erosion threshold (Vthreshold) over dry and sparsely vegetated surfaces. This monthly two-dimensional threshold velocity is then implemented into the Geophysical Fluid Dynamics Laboratory coupled land\u2013atmosphere model (AM4.0/LM4.0). It is found that the climatology of dust optical depth (DOD) and total aerosol optical depth, surface PM10 dust concentrations, and the seasonal cycle of DOD are better captured over the \u201cdust belt\u201d (i.e., northern Africa and the Middle East) by simulations with the new wind erosion threshold than those using the default globally constant threshold. The most significant improvement is the frequency distribution of dust events, which is generally ignored in model evaluation. By using monthly rather than annual mean Vthreshold, all comparisons with observations are further improved. The monthly global threshold of wind erosion can be retrieved under different spatial resolutions to match the resolution of dust models and thus can help improve the simulations of dust climatology and seasonal cycles as well as dust forecasting.

", "keywords": ["[SDE] Environmental Sciences", "Climatology", "Mineral dusts", ":Desenvolupament hum\u00e0 i sostenible::Medi ambient [\u00c0rees tem\u00e0tiques de la UPC]", "550", "Erosi\u00f3 e\u00f2lica", "Physics", "QC1-999", "01 natural sciences", "Dust emission", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Medi ambient", "Chemistry", "Pols -- Control", "MODIS (Spectroradiometer)", "13. Climate action", "Climatologia", "Wind erosion", "Dust optical depth (DOD)", "QD1-999", "Dust control", "Geophysical Fluid Dynamics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/20/55/2020/acp-20-55-2020.pdf"}, {"href": "https://www.atmos-chem-phys.net/20/55/2020/acp-20-55-2020-supplement.pdf"}, {"href": "https://doi.org/10.5194/acp-20-55-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-20-55-2020", "name": "item", "description": "10.5194/acp-20-55-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-20-55-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-03T00:00:00Z"}}, {"id": "10.5061/dryad.gxd2547hz", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:15Z", "type": "Dataset", "title": "Data from: Chemical structure predicts the effect of plant-derived low-molecular weight compounds on soil microbiome structure and pathogen suppression", "description": "1. Plant-derived low molecular weight compounds play a crucial role in shaping soil microbiome functionality. While various compounds have been demonstrated to affect soil microbes, most data are case-specific and do not provide generalizable predictions on their effects. Here we show that the chemical structural affiliation of low molecular weight compounds typically secreted by plant roots \u2013 sugars, amino acids, organic acids and phenolic acids \u2013 can predictably affect microbiome diversity, composition and functioning in terms of plant disease suppression. 2. We amended soil with single or mixtures of representative compounds, mimicking carbon deposition by plants. We then assessed how different classes of compounds, or their combinations, affected microbiome composition and the protection of tomato plants from the soil-borne Ralstonia solanacearum bacterial pathogen. 3. We found that chemical class predicted well the changes in microbiome composition and diversity. Organic and amino acids generally decreased the microbiome diversity compared to sugars and phenolic acids. These changes were also linked to disease incidence, with amino acids and nitrogen-containing compound mixtures inducing more severe disease symptoms connected with a reduction in bacterial community diversity. 4. Together, our results demonstrate that low molecular weight compounds can predictably steer rhizosphere microbiome functioning providing guidelines to engineer microbiomes based on root exudation patterns by specific plant cultivars or crop regimes.", "keywords": ["2. Zero hunger", "Chemical structure", "13. Climate action", "Plant-derived low molecular weight compounds", "soil suppressiveness", "soil microbiome", "15. Life on land"], "contacts": [{"organization": "Gu, Yian, Wang, Xiaofang, Yang, Tianjie, Friman, Ville Petri, Geisen, Stefan, Wei, Zhong, Xu, Yangchun, Jousset, Alexandre, Shen, Qirong,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.gxd2547hz"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.gxd2547hz", "name": "item", "description": "10.5061/dryad.gxd2547hz", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.gxd2547hz"}, {"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": "10.5061/dryad.ht76hdrp8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:15Z", "type": "Dataset", "created": "2024-06-07", "title": "Total data for global pattern of organic carbon pools in forest soil", "description": "unspecified# Total _data [https://doi.org/10.5061/dryad.ht76hdrp8](https://doi.org/10.5061/dryad.ht76hdrp8) ## Description of the data and file structure Abbreviations and the units of the variables in the dataset (Total_data.xlsx) Filling these empty cells in the data file will interfere with a script used to analyze the data, it is necessary to leave these cells empty. MAT: mean annual temperature(C); MAP: mean annual precipitation(mm); PET: potential evapotranspiration; AI: Aridity Index,MAP/PET; Soil_order: USDA; NPP, gC/m\u00b2/year; Elevation: Altitude,(m); Forest type: Conifer, Broadleaf, mixed Tree; age, years Soil type: Soil order according to USDA; BD, bulk density,(g.cm-3); Sand,Silt,Clay, SC(Silt+Clay) (%); Fe,Al. Total Fe/Al,(g\u00b7kg-1soil); Fed. Ald: free Fe and Al oxides.(g kg-1soil); dithionite extractable Fe; Feo, Alo: amorphous Fe and Al oxides (g\u00b7kg-1soil); oxalate extractable Fe and Al; Fed-Feo: crystalline iron (Fed-Feo); Fep,Alp:organically-complexed Fe and Al (gkg-1soil), pyrophosphate extractable Fe and Al; CEC.Cation exchange capacity (cmol kg-1 Soil) pH; O-C/N/P, Organic layer,(g kg-1); SOC,TN,TP,(g-kg-1); CN,ratio of SOC to TN; POC, MOC(gkg-1soil); MOC/SOC (%); POCf, MOCf(gkg-1 fraction) DOC,(mg kg-1); LOC, Labile organic C,g/kg soil; ROC, recalcitrant organic C.g/kg soil; SOCt, measured values from various depth at < 30 cm down to 30 cm by using regression equations of the total SOC content with soil depth as described in Hansen et al. (2023); Soil depth, topsoil, (cm), TBF:Temperate broadleaf forests;TCF:Temperate conifer forests;TMF:Temperate mixed conifer-broadleaf forests SBF:Subtropical broadleaf forests;SCF:Subtropical conifer forests;SMF:Subtropical mixed conifer-broadleaf forests TrBF:Temperate broadleaf forests; MBF:Mediterranean broadleaf forests;MCF:Mediterranean conifer forests;MMF:Mediterranean mixed conifer-broadleaf for AGBC,The plant aboveground standing biomass C,Mg Cha-1; BGBC,belowground standing biomass C,Mg C ha-1 NPP,gC/m2/year normalised difference vegetation index (NDVI) enhanced vegetationindex (EVD). ## Code/Software All statistical analyses were performed in R 4.2.3 software (R Development Core Team, 2022) the R codes (R_code.txt) used to generate the results and figures reported in this study are available in supplementary materials of the paper.", "keywords": ["carbon pools", "clay minerals", "climate and vegetation effects", "FOS: Biological sciences", "soil organic matter", "forest ecosystems"], "contacts": [{"organization": "Zhang, Yuxue, Guo, Xiaowei, Chen, Longxue, Kuzyakov, Yakov, Wang, Ruzhen, Zhang, Haiyang, Han, Xingguo, Jiang, Yong, Sun, Osbert,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.ht76hdrp8"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.ht76hdrp8", "name": "item", "description": "10.5061/dryad.ht76hdrp8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.ht76hdrp8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-22T00:00:00Z"}}, {"id": "10.5061/dryad.m528023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:16Z", "type": "Dataset", "title": "Data from: Litter conversion into detritivore faeces reshuffles the quality control over C and N dynamics during decomposition", "description": "unspecifiedPhysical and chemical characteristicsThis data file contains physical and chemical characteristics of uningested leaf litter of seven tree species, and the characteristics of faecal pellets of pill millipedes (Glomeris marginata) feeding on the litter of each of these species separately. See Methods in the paper for measurement details, and the 'Metadata' sheet for variable description.Phys&Chem_characteristics.xlsxCarbon and Nitrogen dynamicsThis data file contains data used to compute the carbon and nitrogen losses of uningested leaf litter of seven tree species, and the C and N losses of faecal pellets of pill millipedes (Glomeris marginata) feeding on the litter of each of these species separately, after 100 days of incubation. See Methods in the paper for measurement details, and the 'Metadata' sheet for variable description.C&N_dynamics.xlsx", "keywords": ["Glomeris marginata", "Picea abies", "Castanea sativa", "Macroarthropod", "15. Life on land", "Acer pseudoplatanus", "Litter traits", "Soil fauna", "Faecal pellet", "Saprophagous invertebrate", "Ostrya carpinifolia", "13. Climate action", "Quercus ilex rotundifolia", "Quercus ilex ilex", "Anthropocene", "Nitrogen immobilization", "Litter transformer", "Quercus cerris"], "contacts": [{"organization": "Joly, Fran\u00e7ois-Xavier, Coq, Sylvain, Coulis, Mathieu, Nahmani, Johanne, Hattenschwiler, Stephan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.m528023"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.m528023", "name": "item", "description": "10.5061/dryad.m528023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.m528023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-05T00:00:00Z"}}, {"id": "10.5061/dryad.jwstqjqc0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:16Z", "type": "Dataset", "title": "More soil organic carbon is sequestered through the mycelium-pathway than through the root-pathway under nitrogen enrichment in an alpine forest", "description": "Open AccessPeer reviewed", "keywords": ["roots", "SOC sequestration", "ectomycorrhizal mycelia", "Alpine forests", "15. Life on land", "Roots", "alpine forests", "6. Clean water", "N deposition", "Ectomycorrhizal mycelia", "Natural sciences", "microbial C pump", "Microbial C pump", "FOS: Natural sciences"], "contacts": [{"organization": "Zhu, Xiaomin, Zhang, Ziliang, Wang, Qitong, Pe\u00f1uelas, Josep, Sardans, Jordi, Li, Na, Liu, Qing, Yin, Huajun, Liu, Zhanfeng, Lambers, Hans,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.jwstqjqc0"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.jwstqjqc0", "name": "item", "description": "10.5061/dryad.jwstqjqc0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.jwstqjqc0"}, {"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": "10.5061/dryad.k98sf7m9c", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:16Z", "type": "Dataset", "title": "Supplementary materials: Indirect effects of trophic interactions govern carbon circulation in two beech forest soil ecosystems", "description": "unspecifiedWe used R to perform the analysis.", "keywords": ["mass-balance models", "Carbon flows", "ecosystem stability", "Soil food webs", "FOS: Biological sciences", "transfer efficiency", "Network analysis", "15. Life on land", "micro-arthropods trophic groups", "indirect effects"], "contacts": [{"organization": "Lozano Fond\u00f3n, Carlos, Scotti, Marco, Innangi, Michele, Bondavalli, Cristina, De Marco, Anna, Virzo De Santo, Amalia, Fioretto, Antonietta, Menta, Cristina, Bodini, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.k98sf7m9c"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.k98sf7m9c", "name": "item", "description": "10.5061/dryad.k98sf7m9c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.k98sf7m9c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-08T00:00:00Z"}}, {"id": "10.5061/dryad.kf4t9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:16Z", "type": "Dataset", "title": "Data from: Litter microbial and soil faunal communities stimulated in the wake of a volcanic eruption in a semi-arid woodland in Patagonia, Argentina", "description": "unspecifiedSoil, litter, macrofauna and nematode data from Berenstecher et al. 2016This data file contains unanalysed data from soil and litter characteristics, macrofaunal abundance and composition, nematode abundance and decomposition, litter and soil enzymatic activities and litter decomposition at sampling points before and after the massive Puyehue volcanic eruption of June 2011 in Patagonia, ArgentinaBerenstecheretal_DRYAD_42016.xlsx", "keywords": ["13. Climate action", "Puyehue volcanic eruption", "ash deposition", "nematodes", "biogeochemical cycles", "15. Life on land", "ground-dwelling arthropods", "Soil fauna"], "contacts": [{"organization": "Berenstecher, Paula, Gangi, Daniela, Gonz\u00e1lez-Arzac, Adelia, Mart\u00ednez, M. Laura, Chaves, Eliseo J., Mondino, Eduardo A., Austin, Amy T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.kf4t9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.kf4t9", "name": "item", "description": "10.5061/dryad.kf4t9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.kf4t9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-02T00:00:00Z"}}, {"id": "10.5194/acp-2021-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:22Z", "type": "Journal Article", "created": "2021-01-18", "title": "Contribution of the world's main dust source regions to the global cycle of desert dust", "description": "

Abstract. Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the relative contributions of the world\u2019s major dust source regions to the global dust cycle remain poorly constrained. This problem hinders accounting for the potentially large impact of regional differences in dust properties on clouds, the Earth's energy balance, and terrestrial and marine biogeochemical cycles. Here, we constrain the contribution of each of the world\u2019s main dust source regions to the global dust cycle. We use an analytical framework that integrates an ensemble of global model simulations with observationally informed constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth. We obtain a data set that constrains the relative contribution of each of nine major source regions to size-resolved dust emission, atmospheric loading, optical depth, concentration, and deposition flux. We find that the 22\u201329\u2009Tg (one standard error range) global loading of dust with geometric diameter up to 20\u2009\u03bcm is partitioned as follows: North African source regions contribute ~50\u2009% (11\u201315\u2009Tg), Asian source regions contribute ~40\u2009% (8\u201313\u2009Tg), and North American and Southern Hemisphere regions contribute ~10\u2009% (1.8\u20133.2\u2009Tg). Current models might on average be overestimating the contribution of North African sources to atmospheric dust loading at ~65\u2009%, while underestimating the contribution of Asian dust at ~30\u2009%. However, both our results and current models could be affected by unquantified biases, such as due to errors in separating dust aerosol optical depth from that produced by other aerosol species in remote sensing retrievals in poorly observed desert regions. Our results further show that each source region's dust loading peaks in local spring and summer, which is partially driven by increased dust lifetime in those seasons. We also quantify the dust deposition flux to the Amazon rainforest to be ~10\u2009Tg/year, which is a factor of 2\u20133 less than inferred from satellite data by previous work that likely overestimated dust deposition by underestimating the dust mass extinction efficiency. The data obtained in this paper can be used to obtain improved constraints on dust impacts on clouds, climate, biogeochemical cycles, and other parts of the Earth system.

", "keywords": ["Atmospheric sciences", "550", "QC1-999", "Global dust cycle", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "01 natural sciences", "Atmospheric Sciences", "Atmospheric models", "Earth's atmosphere", "Simulaci\u00f3 per ordinador", "Meteorology & Atmospheric Sciences", "Dust; Aerosols; Climate Models; Earth System Models;", "14. Life underwater", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", " environment", "Life Below Water", "QD1-999", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "Atmosphere", "Climate change science", "ddc:550", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "Aerosol model simulations", "15. Life on land", "Atmosfera -- Aspectes ambientals", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Climate Action", "Earth sciences", "Chemistry", "13. Climate action", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida [\u00c0rees tem\u00e0tiques de la UPC]", "Air quality", "Earth Sciences", "Aerosols--Measurement", "Desert dust", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Astronomical and Space Sciences"]}, "links": [{"href": "https://boa.unimib.it/bitstream/10281/321610/1/Kok_2021_ACP_Dust-global.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8169/2021/acp-21-8169-2021.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8169/2021/acp-21-8169-2021-supplement.pdf"}, {"href": "https://escholarship.org/content/qt31s4c3tr/qt31s4c3tr.pdf"}, {"href": "https://escholarship.org/content/qt4f95b02f/qt4f95b02f.pdf"}, {"href": "https://doi.org/10.5194/acp-2021-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Goldschmidt2021%20abstracts", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-2021-4", "name": "item", "description": "10.5194/acp-2021-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-2021-4"}, {"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": "10.5061/dryad.mf3gd/9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:16Z", "type": "Dataset", "title": "real-model1", "description": "settings and output for migrate-N model 1", "keywords": ["Spitsbergen", "Sweden", "Speciation", "the Netherlands", "Greenland", "population genetics", "SNP", "admixture", "Branta leucopsis", "cultural evolution", "migration modelling", "Russia"], "contacts": [{"organization": "Jonker, Rudy M., Kraus, Robert H. S., Zhang, Qiong, Van Hooft, Pim, Larsson, Kjell, Van Der Jeugd, Henk P., Kurvers, Ralf H. J. M., Van Wieren, Sip E., Loonen, Maarten J. J. E., Crooijmans, Richard P. M. A., Ydenberg, Ronald C., Groenen, Martien A. M., Prins, Herbert H. T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.mf3gd/9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.mf3gd/9", "name": "item", "description": "10.5061/dryad.mf3gd/9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.mf3gd/9"}, {"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": "10.5281/zenodo.7827577", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:39Z", "type": "Dataset", "title": "Regional greenhouse gas net emission intensities by land cover category in Finland", "description": "Open Access{'references': ['Bastviken, D., Cole, J., Pace, M. and Tranvik, L. 2004. 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Suomen maannostietokanta: Maannoskartta 1:250 000 ja maaper u00e4n ominaisuuksia. MTT:n selvityksi u00e4 114. http://urn.fi/URN:ISBN:952-487-019-3', 'Lilja, H., Uusitalo, R., Yli-Halla, M., Nevalainen, R., V u00e4 u00e4n u00e4nen, T., Tamminen, P. and Tuhtar, J. 2017. Suomen maannostietokanta. K u00e4ytt u00f6opas. Luonnonvara- ja biotalouden tutkimus 6/2017 http://urn.fi/URN:ISBN:978-952-326-357-4', 'Liski, J., Palosuo, T., Peltoniemi, M., Siev u00e4nen, R. 2005. Carbon and decomposition model Yasso for forest soils. Ecological Modelling (189): 168-182. doi: 10.1016/j.ecolmodel.2005.03.005', 'Minkkinen, K., Ojanen, P. 2013. Pohjois-Pohjanmaan turvemaiden kasvihuonekaasutaseet. In: Metlan ty u00f6raportteja 258. Mets u00e4ntutkimuslaitos. pp. 75-111.', 'Minkkinen, K., Ojanen, P., Koskinen, M. and Penttil u00e4, T. 2020. Nitrous oxide emissions of undrained, forestry-drained, and rewetted boreal peatlands. Forest Ecology and Management: 478. doi:10.1016/j.foreco.2020.118494', 'Minunno, F., Peltoniemi, M., Launiainen, S., Aurela, M., Lindroth, A., Lohila, A., Mammarella, I., Minkkinen, K. and M u00e4kel u00e4, A. 2016. Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region. Ecological Modelling 341: 37-52. doi: 10.1016/j.ecolmodel.2016.09.020', 'Minunno, F., Peltoniemi, M., H u00e4rk u00f6nen, S., Kalliokoski, T., Makinen, H. and M u00e4kel u00e4, A. 2019. Bayesian calibration of a carbon balance model PREBAS using data from permanent growth experiments and national forest inventory. Forest Ecology and Management 440: 208-257. doi:10.1016/j.foreco.2019.02.041', 'Myhre, G., Shindell, D., Br u00e9on, F.-M., Collins, W., Fuglestvedt, J., Huang, J., Koch, D., Lamarque, J.-F., et al. 2013. Anthropogenic and natural radiative forcing. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.', 'M u00e4kel u00e4, A., Minunno, F., Kujala, H., Heikkinen, R.K., Kosenius, A.-K. 2023. Effect of forest management choices on carbon sequestration and biodiversity at a national scale. Ambio.', 'M u00e4kisara, K., Katila, M. and Per u00e4saari, J. 2022. The Multi-Source national forest inventory of Finland u2014 methods and results 2017 and 2019. Natural resources and bioeconomy studies 90/2022. Natural Resources Institute Finland, Helsinki. http://urn.fi/URN:ISBN:978-952-380-538-5', 'Natural Resources Institute Finland. 2023. Total roundwood removals and drain. https://www.luke.fi/en/statistics/total-roundwood-removals-and-drain', 'Ojanen, P., Minkkinen, K., Alm, J., Penttil u00e4, T. 2010. Soil u2013atmosphere CO2, CH4 and N2O fluxes in boreal forestry-drained peatlands. Forest Ecology and Management 260: 411-421. doi:10.1016/j.foreco.2010.04.036', 'Ojanen, P., Penttil u00e4, T., Tolvanen, A., Hotanen J.-P., Saarimaa, M., Nousiainen, H., Minkkinen, K. 2019. Long-term effect of fertilization on the greenhouse gas exchange of low-productive peatland forests. Forest Ecology and Management 432:786- 798. doi:10.1016/j.foreco.2018.10.015', 'Sallantaus, T. 1994. Response of leaching from mire ecosystems to changing climate. In: Kanninen, M. (ed.). The Finnish research programme on climate change. Second progress report. Academy of Finland. pp. 291 u2013296.', 'Statistics Finland. 2023a. NUTS regional classification. https://www.stat.fi/en/luokitukset/nuts/', 'Statistics Finland. 2023b. Greenhouse gas emissions in Finland 1990 to 2021. National Inventory Report under the UNFCCC and the Kyoto Protocol March 15, 2023. https://www.stat.fi/media/uploads/tup/khkinv/fi_nir_eu_2021_2023-03-15.pdf', 'Tuomi, M., Thum, T., J u00e4rvinen, H., Fronzek, S., Berg, B., Harmon, M., Trofymow, J.A., Sevanto, S., Liski, J. 2009. Leaf litter decomposition u2013 Estimates of global variability based on Yasso07 model. Ecological Modelling 220: 3362-3371. doi:10.1016/j.ecolmodel.2009.05.016', 'Turunen, J., Tomppo, E., Tolonen, K., Reinikainen, A. 2002. Estimating carbon accumulation rates of undrained mires in Finland u2013 application to boreal and subarctic regions. The Holocene 12: 69-80. doi:10.1191/0959683602hl522rp']}", "keywords": ["http://vocabs.lter-europe.net/EnvThes/21201", "13. Climate action", "11. Sustainability", "http://vocabs.lter-europe.net/EnvThes/21192", "15. Life on land", "http://vocabs.lter-europe.net/EnvThes/21177", "12. Responsible consumption"], "contacts": [{"organization": "Holmberg, Maria, Junttila, Virpi, Schulz, Torsti, Minunno, Francesco, Ojanen, Paavo, M\u00e4kel\u00e4, Annikki, Peltoniemi, Mikko, Forsius, Martin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7827577"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7827577", "name": "item", "description": "10.5281/zenodo.7827577", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7827577"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-22T00:00:00Z"}}, {"id": "10.5061/dryad.mpg4f4r3b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:16Z", "type": "Dataset", "title": "Changing plant species composition and richness benefit soil carbon sequestration under climate warming", "description": "Anthropogenic warming and land-use change are expected to accelerate global soil organic carbon (SOC) losses and change plant species composition and richness. However, how changes in plant composition and species richness mediate SOC responses to climate warming and land-use change remains poorly understood. Using data from a 7-year warming and clipping field experiment in an alpine meadow on the Qinghai-Tibetan Plateau, we examined the direct effects of warming and clipping on SOC storage versus their indirect effects mediated by plant functional type and species richness. We found that warming significantly increased SOC storage by 8.1% and clipping decreased it by 6.4%, which was closely correlated with the corresponding response of below-ground net primary productivity (BNPP). We also found a negative correlation between SOC storage and species richness, which was ascribed to the increased BNPP via enhancing the dominance of grasses and decreasing species richness under warming. The lower SOC storage under clipping was caused by the clipping-induced decrease in BNPP via weakening the dominance of grasses and increasing species richness. Our findings highlight that the SOC storage in this alpine meadow under climate warming and clipping was primarily governed by BNPP, which was mediated by changes in the dominance of grasses and species richness. Overall, our study demonstrates that shifting to the dominance of grasses and changing species richness would benefit soil C sequestration under climate warming, but this positive effect would be dampened by grazing or hay harvest.", "keywords": ["2. Zero hunger", "soil organic carbon", "dominant functional type", "13. Climate action", "Land-use change", "14. Life underwater", "15. Life on land", "species richness", "FOS: Natural sciences", "climate warming"], "contacts": [{"organization": "Yan, Yingjie, Niu, Shuli, He, Yicheng, Wang, Song, Song, Lei, Peng, Jinlong, Chen, Xinli, Quan, Quan, Meng, Cheng, Zhou, Qingping, Wang, Jinsong,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.mpg4f4r3b"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.mpg4f4r3b", "name": "item", "description": "10.5061/dryad.mpg4f4r3b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.mpg4f4r3b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-11T00:00:00Z"}}, {"id": "10.5061/dryad.n3s2m", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:16Z", "type": "Dataset", "created": "2025-10-02", "title": "Data from: Urban trees reduce nutrient leaching to groundwater", "description": "unspecifiedMany urban waterways suffer from excess nitrogen (N) and phosphorus (P) feeding algal blooms, which cause lower water clarity and oxygen levels, bad odor and taste, and the loss of desirable species. Nutrient movement from land to water is likely to be influenced by urban vegetation, but there are few empirical studies addressing this. In this study, we examined whether or not urban trees can reduce nutrient leaching to groundwater, an important nutrient export pathway that has received less attention than stormwater. We characterized leaching beneath thirty-three trees of fourteen species, and seven open turfgrass areas, across three city parks in Saint Paul, Minnesota. We installed lysimeters at 60 cm depth to collect soil water approximately biweekly from July 2011 through October 2013, except during winter and drought periods, measured dissolved organic carbon (C), N, and P in soil water, and modeled water fluxes using the BROOK90 hydrologic model. We also measured soil nutrient pools (bulk C and N, KCl-extractable inorganic N, Brays-P), tree tissue nutrient concentrations (C, N, and P of green leaves, leaf litter, and roots), and canopy size parameters (leaf biomass, leaf area index) to explore correlations with nutrient leaching. Trees had similar or lower N leaching than turfgrass in 2012 but higher N leaching in 2013; trees reduced P leaching compared with turfgrass in both 2012 and 2013, with lower leaching under deciduous than evergreen trees. Scaling up our measurements to an urban subwatershed of the Mississippi River (~17,400 ha, containing roughly 1.5 million trees), we estimated that trees reduced P leaching to groundwater by 533 kg in 2012 (0.031 kg/ha or 3.1 kg/km2) and 1201 kg in 2013 (0.069 kg/ha or 6.9 kg/km2). Removing these same amounts of P using stormwater infrastructure would cost $2.2 million and $5.0 million per year (2012 and 2013 removal amounts, respectively).", "keywords": ["13. Climate action", "nutrient pollution", "plant traits", "11. Sustainability", "Anthropocene", "groundwater", "nutrient leaching", "Phosphorus", "15. Life on land", "urban trees", "Urban ecosystems", "6. Clean water"], "contacts": [{"organization": "Nidzgorski, Daniel A., Hobbie, Sarah E.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.n3s2m"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.n3s2m", "name": "item", "description": "10.5061/dryad.n3s2m", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.n3s2m"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-04-05T00:00:00Z"}}, {"id": "10.5061/dryad.ncjsxksxj", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "title": "Data for: Cover crop functional types differentially alter the content and composition of soil organic carbon in particulate and mineral-associated fractions", "description": "Cover crops (CCs) can increase soil organic carbon (SOC) sequestration by providing additional OC residues, recruiting beneficial soil microbiota, and improving soil aggregation and structure. The various CC species that belong to distinct plant functional types (PFTs) may differentially impact SOC formation and stabilization. Biogeochemical theory suggests that selection of PFTs with distinct litter quality (C:N ratio) should influence the pathways and magnitude of SOC sequestration. Yet, we lack knowledge on the effect of CCs from different PFTs on the quantity and composition of physiochemical pools of SOC. We sampled soils under monocultures of three CC PFTs (legume [crimson clover]; grass [triticale]; and brassica [canola]) and a mixture of these three species, from a long-term CC experiment in Pennsylvania, USA. We measured C content in bulk soil and C content and composition in contrasting physical fractions: particulate organic matter, POM; and mineral-associated organic matter, MAOM. The bulk SOC content was higher in all CC treatments compared to the fallow. Compared to the legume, monocultures of grass and brassica with lower litter quality (wider C:N) had higher proportion of plant-derived C in POM, indicating selective preservation of complex structural plant compounds. In contrast, soils under legumes had greater accumulation of microbial-derived C in MAOM. Our results for the first time, revealed that the mixture contributed to a higher concentration of plant-derived compounds in POM relative to the legume, and a greater accumulation of microbial-derived C in MAOM compared to monocultures of grass and brassica. Mixtures with all three PFTs can thus increase the short- and long-term SOC persistence balancing the contrasting effects on the chemistries in POM and MAOM imposed by monoculture CC PFTs. Thus, despite different cumulative C inputs in CC treatments from different PFTs, the total SOC stocks did not vary between CC PFTs, rather PFTs impacted whether C accumulated in POM or MAOM fractions. This highlights that CCs of different PFTs may shift the dominant SOC formation pathways (POM vs. MAOM), subsequently impacting short- and long-term SOC stabilization and stocks. Our work provides a strong applied field test of biogeochemical theory linking litter quality to pathways of C accrual in soil.", "keywords": ["2. Zero hunger", "soil organic carbon", "Plant functional types", "Particulate organic matter", "FOS: Agricultural sciences", "Mineral-associated organic matter", "cover crops", "legume", "15. Life on land", "Biomarkers"], "contacts": [{"organization": "Suseela, Vidya, Zhang, Ziliang, Kaye, Jason, Bradley, Brosi, Amsili, Joseph,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.ncjsxksxj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.ncjsxksxj", "name": "item", "description": "10.5061/dryad.ncjsxksxj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.ncjsxksxj"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-17T00:00:00Z"}}, {"id": "10.5061/dryad.ns92q", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "title": "Data from: Soil carbon response to woody plant encroachment: Importance of spatial heterogeneity and deep soil storage", "description": "unspecified1. Recent global trends of increasing woody plant abundance in grass-dominated ecosystems may substantially enhance soil organic carbon (SOC) storage and could represent a strong carbon (C) sink in the terrestrial environment. However, few studies have quantitatively addressed the influence of spatial heterogeneity of vegetation and soil properties on SOC storage at the landscape scale. In addition, most studies assessing SOC response to woody encroachment consider only surface soils, and have not explicitly assessed the extent to which deeper portions of the soil profile may be sequestering C. 2. We quantified the direction, magnitude, and pattern of spatial heterogeneity of SOC in the upper 1.2 m of the profile following woody encroachment via spatially-specific intensive soil sampling across a landscape in a subtropical savanna in the Rio Grande Plains, USA, that has undergone woody proliferation during the past century. 3. Increased SOC accumulation following woody encroachment was observed to considerable depth, albeit at reduced magnitudes in deeper portions of the profile. Overall, woody clusters and groves accumulated 12.87 and 18.67 Mg C ha-1 more SOC compared to grasslands to a depth of 1.2 m. 4. Woody encroachment significantly altered the pattern of spatial heterogeneity of SOC to a depth of 5 cm, with marginal effect at 5-15 cm, and no significant impact on soils below 15 cm. Fine root density explained greater variability of SOC in the upper 15 cm, while a combination of fine root density and soil clay content accounted for more of the variation in SOC in soils below 15 cm across this landscape. 5. Synthesis: Substantial SOC sequestration can occur in deeper portions of the soil profile following woody encroachment. Furthermore, vegetation patterns and soil properties influenced the spatial heterogeneity and uncertainty of SOC in this landscape, highlighting the need for spatially specific sampling that can characterize this variability and enable scaling and modeling. Given the geographic extent of woody encroachment on a global scale, this undocumented deep soil C sequestration suggests this vegetation change may play a more significant role in regional and global C sequestration than previously thought.", "keywords": ["2. Zero hunger", "deep soil carbon", "13. Climate action", "\u03b413C value", "landscape scale", "woody plant encroachment", "15. Life on land", "pattern of spatial heterogeneity", "SOC storage", "subtropical savanna"], "contacts": [{"organization": "Zhou, Yong, Boutton, Thomas W., Wu, X. Ben,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.ns92q"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.ns92q", "name": "item", "description": "10.5061/dryad.ns92q", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.ns92q"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-10T00:00:00Z"}}, {"id": "10.5061/dryad.p83h7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "title": "Data from: Plant species richness promotes soil carbon and nitrogen stocks in grasslands without legumes", "description": "Open AccessPlant and soil data from the last year of the biodiversity experimentData from: Wen-feng Cong, Jasper van Ruijven, Liesje Mommer, Gerlinde De Deyn, Frank Berendse and Ellis Hoffland. (2014) Plant species richness promotes soil carbon and nitrogen stocks in grasslands without legumes. Data were collected in the 11-year grassland biodiversity experiment in Wageningen, the Netherlands, in 2010 and 2011. Abbreviated headlines are as follows: \u201c\u201dBLK\u201d= block; \u201cPT\u201d= plot; 'SR' = plant species richness; \u201cMI\u201d = monoculture identity (Ac = Agrostis capillaris; Ao = Anthoxanthum odoratum; Cj = Centaurea jacea; Fr = Festuca rubra; Hl = Holcus lanatus; Lv = Leucanthemum vulgare; Pl = Plantago lanceolata; Ra = Rumex acetosa); 'AAB' = average aboveground biomass from 2000 to 2010 (g m-2); 'RB' = standing root biomass (g fresh weight m-2) up to 50 cm depth in June 2010; 'CS' = soil carbon stocks (g C m-2) in April 2011; 'NS' = soil nitrogen stocks (g N m-2) in April 2011. 'CD' = soil organic carbon decomposition (mg CO2-C kg-1 soil) measured in soil collected in April 2011; 'NM' = potential net N mineralization rate (\u00b5g N kg-1 soil day-1) measured in soil collected in April 2011.data file.csv", "keywords": ["2. Zero hunger", "Agrostis capillaris", "decomposition", "Festuca rubra", "N mineralization", "15. Life on land", "Rumex acetosa", "carbon sequestration", "root biomass", "Holcus lanatus", "Plantago lanceolata", "ecosystem function", "Leucanthemum vulgare", "14. Life underwater", "plant productivity", "Centaurea jacea", "biodiversity", "Anthoxanthum odoratum"], "contacts": [{"organization": "Cong, Wen-feng, van Ruijven, Jasper, Mommer, Liesje, De Deyn, Gerlinde, Berendse, Frank, Hoffland, Ellis, De Deyn, Gerlinde B.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.p83h7"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.p83h7", "name": "item", "description": "10.5061/dryad.p83h7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.p83h7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-01-01T00:00:00Z"}}, {"id": "10.5061/dryad.p6s0407", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "title": "Data from: Litter type and termites regulate root decomposition across contrasting savanna land-uses", "description": "unspecifiedRoot litter mass loss in SerengetiRoot litter mass loss (undecomposed weights, ash contents and decomposed weights) for litter used in an experiment to determine the impact of land-use on belowground nutrient cycling inside and outside the Serengeti National Park, Tanzania from 2016 to 2017 as part of the AfricanBioServices project. Litter data includes the main land-use experiment and a supporting common garden experiment where several species of litter were buried in central Serengeti. The datafile also includes supporting data on tree allometrics (i.e. height, diameter at breast height) and soil properties (texture and organic carbon content).Root.decomp.Serengeti.landuse.common.garden.txtTermite cafeteria litter experiment in SerengetiRoot, leaf and stem mass loss (undecomposed weights, ashed contents and decomposed weights) for litter buried near termite mounds used to determine termite (non) preference for different litter types in Seronera, central Serengeti National Park, Tanzania during the wet season 2017 as part of the AfricanBioServices project.Termite.cafeteria.root.decomposition.txt", "keywords": ["2. Zero hunger", "Heteropogon contortus", "Cynodon dactylon", "Acacia gerrardii", "Microchloa kunthii", "leguminous trees", "Holocene", "Indigofera volkensii", "Pennisetum mezianum", "Themeda triandra", "15. Life on land", "termite ecology", "Zea mays", "Digitaria macroblephara", "Mariscus amourpus", "Acacia tortilis", "Chloris pycnothrix", "root traits", "root decomposition", "Crateostigma plantagineum", "Solanum incanum", "Balanites aegyptiaca", "Panicum maximum"], "contacts": [{"organization": "Smith, Stuart W., Speed, James D. M., Bukombe, John, Hassan, Shombe N., Lyamuya, Richard D., Mtweve, Philipo Jacob, Sundsdal, Anders, Graae, Bente J.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.p6s0407"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.p6s0407", "name": "item", "description": "10.5061/dryad.p6s0407", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.p6s0407"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-16T00:00:00Z"}}, {"id": "10.5281/zenodo.7828352", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:39Z", "type": "Journal Article", "title": "Initial approach to monitoring reporting and verification (MRV) of agroforestry carbon farming in the EU", "description": "Open AccessPolicy Briefing #20 (v4) is much shortened from version 3 (17.9.24) and responds to the draft carbon farming MRV methodologies made available in April/May 2025 to members of the Carbon Removals Expert Group.\u00a0 These outline proposed methodologies to monitor practices involving: a) agriculture and agroforestry on mineral soils, b) tree planting and c) rewetting of peatlands. EURAF is in broad agreement with the proposals apart from the pressing need to reword the \u201ctree planting\u201d methodology as \u201cafforestation, reforestation and settlement tree planting\u201d. This will avoid confusion with the tree planting in agroforestry systems.\u00a0 This Briefing provides comment on definitions, scope, baselines, additionality, sustainability, monitoring tools, permanence, parcel geolocation datasets and a typology of agroforestry.\u00a0\u00a0 It also suggests a \u201cstandard\u201d typology of 30 carbon farming practices, based on LULUCF land use categories, with an additional section for animal husbandry.\u00a0\u00a0 It is important that CRCF methodologies match those used by Member States in their annual reporting of greenhouse gas emissions to the UNFCCC, and use the most accurate parcel-based reporting possible. \u00a0 The Commission is therefore asked to urge\u00a0 Member States to meet their commitments to provide open access to anonymised IACS geospatial information on agricultural parcels and land use, and in particular to comply with the open API requirements of the High Values Dataset Implementing Regulation (2023).\u00a0 Member States should also move their GHG reporting to true \u201cwall to wall\u201d identification of both agricultural and forestry parcels: facilitating future exchange of information between LULUCF and CRCF carbon farming reporting. Backround and justification for the 'Standard List of Carbon Farming Practices' is provided here as Annex 1.", "keywords": ["2. Zero hunger", "13. Climate action", "11. Sustainability", "carbon farming", "DigitAF", "15. Life on land", "7. Clean energy", "12. Responsible consumption", "agroforestry"], "contacts": [{"organization": "LAWSON, Gerry, Monteleone, Daniel, Rocha, Ana, Dupraz, Christian, H\u00fcbner, Rico, Torres Guerrero, Carlos Alberto,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7828352"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/EURAF%20Policy%20Briefing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7828352", "name": "item", "description": "10.5281/zenodo.7828352", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7828352"}, {"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": "10.5061/dryad.pk5n1p4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "title": "Data from: Winter cover crop legacy effects on litter decomposition act through litter quality and microbial community changes", "description": "Open AccessDecomposition rates, litter traits, and abiotic and biotic soil propertiesData from field experiment on litter decomposition in crop rotation with cover crops (2014-2015), including chemical litter traits (C, N, lignin), mass loss en decomposition rates of winter cover crop litter and standard substrates (filter paper, bamboo, green tea, rooibos tea). Data presented by litterbag and by plot. Soil properties include: mineral N, potential N mineralisation, soil organic matter, soil pH, and also concentrations of PLFA markers and ergosterol. Daily averages of soil temperature and moisture present for limited number of plots. Names of cover crops abbreviated as follows: Lolium perenne (Lope), Trifolium repense (Trre), Raphanus sativus (Rasa), Vicia sativa (Visa). Main crops: Avena sativa (Avsa), Cichorium endivia (Cien).Barel-JAPPL-2017-01119.R3 data.xlsx", "keywords": ["2. Zero hunger", "decomposition", "ergosterol", "Lolium perenne", "Vicia sativa", "Verwerkte data", "Raphanus sativus", "Avena sativa", "microbial community composition", "carbon cycling", "Soil pH", "15. Life on land", "mineral nitrogen", "Cichorium endivia", "nitrogen cycling", "crop rotation", "standardised substrates", "13. Climate action", "soil organic matter", "PLFA", "Processed data", "winter cover crop", "Trifolium repens", "legacy effects"], "contacts": [{"organization": "Barel, J.M., Kuijper, T.W.M., Paul, Jos, de Boer, W., Cornelissen, Johannes H.C., de Deyn, G.B.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.pk5n1p4"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.pk5n1p4", "name": "item", "description": "10.5061/dryad.pk5n1p4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.pk5n1p4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5061/dryad.q21d0b9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "title": "Data from: Reduced tillage, but not organic matter input, increased nematode diversity and food web stability in European long-term field experiments", "description": "unspecifiedSoil nematode communities and food web indices can inform about the complexity, nutrient flows and decomposition pathways of soil food webs, reflecting soil quality. Relative abundance of nematode feeding and life-history groups are used for calculating food web indices, i.e. maturity index (MI), enrichment index (EI), structure index (SI) and channel index (CI). Molecular methods to study nematode communities potentially offer advantages compared to traditional methods in terms of resolution, throughput, cost and time. In spite of such advantages, molecular data have not often been adopted so far to assess the effects of soil management on nematode communities and to calculate these food web indices. Here, we used high-throughput amplicon sequencing to investigate the effects of tillage (conventional vs reduced) and organic matter addition (low vs high) on nematode communities and food web indices in ten European long-term field experiments and we assessed the relationship between nematode communities and soil parameters. We found that nematode communities were more strongly affected by tillage than by organic matter addition. Compared to conventional tillage, reduced tillage increased nematode diversity (23% higher Shannon diversity index), nematode community stability (12% higher MI), structure (24% higher SI), and the fungal decomposition channel (59% higher CI), and also the number of herbivorous nematodes (70% higher). Total and labile organic carbon, available K and microbial parameters explained nematode community structure. Our findings show that nematode communities are sensitive indicators of soil quality and that molecular profiling of nematode communities has the potential to reveal the effects of soil management on soil quality.", "keywords": ["2. Zero hunger", "organic matter addition", "nematode communities", "Anthropocene", "long-term field experiments", "15. Life on land", "food web indices.", "Tillage"], "contacts": [{"organization": "Bongiorno, Giulia, Bodenhaused, Natacha, B\u00fcnemann, Else. K., Lijbert, Brussaard, Geisen, Stefan, M\u00e4der, Paul, Quist, Casper, Walser, Jean-Claude, de Goede, Ron,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.q21d0b9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.q21d0b9", "name": "item", "description": "10.5061/dryad.q21d0b9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.q21d0b9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-22T00:00:00Z"}}, {"id": "10.5061/dryad.q428q", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "title": "Data from: Changes in plant, soil and microbes in a typical steppe from simulated grazing: explaining potential change in soil carbon", "description": "unspecifiedPlant parametersThe data were collected in the field. Excel was used to create the data. SE-standard error, Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing combined with the addition of dung and urine; M+T-mowing combined with trampling; DU+T-trampling combined with the addition of dung and urine; DU+M+T-mowing combined with trampling and the addition of dung and urineSoil parametersThe data were collected in the field. Excel was used to create the data. SE-standard error, MBC-soil microbial biomass carbon, MBN- soil microbial biomass nitrogen. Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing combined with the addition of dung and urine; M+T-mowing combined with trampling; DU+T-trampling combined with the addition of dung and urine; DU+M+T-mowing combined with trampling and the addition of dung and urineSoil microbes' parametersThe data were collected in the field. Excel was used to create the data. SE-standard error, Gram+-gram positive bacteria, Gram--gram negative bacteria, AMF- arbuscular mycorrhizal fungi, B/F-bacteria to fungi ratio. Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing combined with the addition of dung and urine; M+T-mowing combined with trampling; DU+T-trampling combined with the addition of dung and urine; DU+M+T-mowing combined with trampling and the addition of dung and urinePCA and RDA analysis data sheetThe data were collected in the field. Excel was used to create the data. Gram+-gram positive bacteria, Gram--gram negative bacteria, AMF- arbuscular mycorrhizal fungi, B/F-bacteria to fungi ratio, SOC- soil organic carbon, TN- soil total nitrogen, C/N-soil organic carbon to total nitrogen ratio. Treatment: C- control,DU-dung and urine return; M-mowing; T-trampling; DU+M-mowing combined with the addition of dung and urine; M+T-mowing combined with trampling; DU+T-trampling combined with the addition of dung and urine; DU+M+T-mowing combined with trampling and the addition of dung and urine", "keywords": ["2. Zero hunger", "Artemisia frigida", "15. Life on land", "Soil microbes' parameters", "6. Clean water", "13. Climate action", "Cleistogenes squarrosa", "Agropyron cristatum", "PCA and RDA analysis data sheet", "Plant parameters", "Potentilla acaulis", "Soil parameters", "Stipa krylovii", "Leymus chinensis"], "contacts": [{"organization": "Liu, Nan, Kan, Haiming, Yang, Gaowen, Zhang, Yingjun, Yang, G. W.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.q428q"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.q428q", "name": "item", "description": "10.5061/dryad.q428q", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.q428q"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-20T00:00:00Z"}}, {"id": "10.5061/dryad.qjq2bvqmv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "created": "2023-12-04", "title": "Effects of plant traits and ecosystem properties on wave attenuation and soil carbon content", "description": "unspecifiedMicrosoft Excel", "keywords": ["soil organic carbon", "Tidal marshes", "13. Climate action", "plant traits", "FOS: Biological sciences", "ecosystem properties", "estuarine vegetation", "15. Life on land", "ecosystem services", "wave attenuation"], "contacts": [{"organization": "Schulte Ostermann, Tilla, Heuner, Maike, Fuchs, Elmar, Temmerman, Stijn, Schoutens, Ken, Bouma, Tjeerd J., Minden, Vanessa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.qjq2bvqmv"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.qjq2bvqmv", "name": "item", "description": "10.5061/dryad.qjq2bvqmv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.qjq2bvqmv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-02T00:00:00Z"}}, {"id": "10.5061/dryad.qjq2bvqkn", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "title": "The contribution of Fe(III) reduction to soil carbon mineralization in montane meadows depends on soil chemistry, not parent material or microbial community", "description": "The long-term stability of soil carbon (C) is strongly influenced by organo-mineral interactions.\u00a0Iron (Fe)-oxides can both inhibit microbial decomposition by providing physicochemical protection for organic molecules and enhance rates of C mineralization by serving as a terminal electron acceptor, depending on redox conditions. Restoration of floodplain hydrology in montane meadows has been proposed as a method of sequestering C for climate change mitigation. However, dissimilatory microbial reduction of Fe(III) could lead to C losses under increased reducing conditions. In this study, we explored variations in Fe-C interactions over a range of redox conditions and in soils derived from two distinct parent materials to elucidate biochemical and microbial controls on soil C cycling in Sierra Nevada montane meadows. Differences in parent material were associated with different rates of Fe(III) reduction at increasing soil moisture levels, but not with differences in soil C mineralization. Known Fe(III)-reducing taxa were present in all samples but neither the relative abundance nor richness of Fe(III) reducers corresponded with measured rates of Fe(III) reduction. Under reducing conditions, our results suggest that Fe(III) reduction contributes to C mineralization only when Fe-bound C is present. However, Fe-bound C was not present in all of our soils and was below theoretical limits for C sorption onto Fe-oxides where it was found. Overall, our results suggest that meadow-specific soil chemistry drives Fe-C interactions and that the impact of Fe on C cycling in montane meadows may be smaller than in other ecosystems.", "keywords": ["montane meadows", "13. Climate action", "Wetlands", "meadow restoration", "Iron reduction", "FOS: Earth and related environmental sciences", "biogeochemical cycles", "Carbon cycle", "15. Life on land"], "contacts": [{"organization": "Reed, Cody C., Dunham\u2010Cheatham, Sarrah M., Castle, Sarah C., Vuono, David C., Sullivan, Benjamin W.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.qjq2bvqkn"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.qjq2bvqkn", "name": "item", "description": "10.5061/dryad.qjq2bvqkn", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.qjq2bvqkn"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-11T00:00:00Z"}}, {"id": "10.5061/dryad.qz612jmp3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "created": "2023-12-05", "title": "Soil organic carbon loss decreases biodiversity but stimulates multitrophic interactions that promote belowground metabolism", "description": "unspecified| README.txt file\u00a0 | | | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------- | | | | | GENERAL INFORMATION | | | | | | 1. Title of Dataset: Data from: Soil organic carbon loss decreases biodiversity but stimulates multitrophic interactions that promote belowground metabolism | | | | | | 2. Author Information: | | | First author 1 | | | Name: Ye Li | | | Institution: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China; University of Chinese Academy of Sciences, Beijing, China | | | | | | Corresponding author 2 | | | Name: Zengming Chen | | | Institution: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China | | | Email: zmchen @issas.ac.cn | | | | | | Co-author 3 | | | Name: Cameron Wagg | | | Institution: Fredericton Research and Development Centre, Agriculture and Agri-Food Canada, Fredericton, Canada | | | | | | Co-author 4 | | | Name: Michael J. Castellano | | | Institution: Department of Agronomy, Iowa State University, Ames, Iowa, USA | | | | | | Co-author 5 | | | Name: Nan Zhang | | | Institution: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China; School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, China | | | | | | Co-author 6 | | | Name: Weixin Ding | | | Institution: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China | | | | | | 3. Date of data collection: 2019-2023 | | | | | | 4. Geographic location of data collection: Baoqing county, in the east of Heilongjiang Province, northeast China (46\u00b020\u2019N, 132\u00b012\u2019E, elevation 70-75 m). | | | | | | 5. Funding sources that supported the collection of the data: National Key Research and Development Program of China (2022YFD1500303), Strategic Priority Research Program of Chinese Academy of Sciences (XDA28010302), Natural Science Foundation of Jiangsu Province (BK20211610), Natural Science Foundation of China (42077029, U1906220), Frontier Project from the Institute of Soil Science, Chinese Academy of Sciences (ISSASIP2212), and Youth Innovation Promotion Association of Chinese Academy of Sciences (2022313). | | | | | | 6. Recommended citation for this dataset: Li et al. (2024), Data from: Soil organic carbon loss decreases biodiversity but stimulates multitrophic interactions that promote belowground metabolism, Dryad, Dataset. | | | | | | | | | DATA FILES | | | | | | File: Belowground metabolism and SOC decomposition | | | Details: total enzyme activities, C and N/P limitations and SOC decomposition | | | | | | File: Biodiversity | | | Details: the richess, Shannon and Simpson indices | | | | | | File: Edaphic condition | | | Details: soil physicochemical factors | | | | | | File: Topological features | | | Details: Topological features of multitrophic networks | | | | | | VARIABLE LIST AND ABBREVIATION | | | | | | SOC | content of soil organic carbon | | C limitation | limitation of carbon in belowground metabolic activities calculated from vector length in enzymatic stochiometry | | P/N limitation | limitation of phosphorus or nitrogen\u00a0 in belowground metabolic activities calculated from vector angle in enzymatic stochiometry | | TN | content of total nitrogen | | TP | content oftotal phosphorus | | Zi | the sum of Z-score of enzyme activities | | C/N | ratio of soil organic matter to total nitrogen | | C/P | ratio of soil organic matter to total phosphorus | | AP | content of available phosphorus | | NH4+ | content of ammonium | | NO3- | content of nitrate | | nodes _num | the number of ASVs included in networks | | edge _number | the number of connections among all nodes | | neg _pos | the ratio of negative to positive connections | | average _degree | mean connections of all nodes with another unique node | | average _path _length | mean network distance between all paired nodes | | clustering _coefficient | the degree of nodes clumping | | betweenness _centralization | the times of a specific node acting as a bridge along the shortest path between another paired nodes | | closeness _centralization | inverse of the average distance of a specific node to any other nodes | | degree _centralization | evenness of connections among nodes in a network | | HC | samples with SOC content above 23 g C kg-1 | | LC | samples with SOC content below 23 g C kg-1 |", "keywords": ["soil organic carbon", "Mollisols", "agroecosystem", "FOS: Agricultural sciences", "multitrophic network", "Biodiversity", "carbon loss", "belowground metabolisms"], "contacts": [{"organization": "Chen, Zengming", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.qz612jmp3"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.qz612jmp3", "name": "item", "description": "10.5061/dryad.qz612jmp3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.qz612jmp3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-20T00:00:00Z"}}, {"id": "10.5061/dryad.r9n6hg4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "title": "Data from: Modeled and measured ecosystem respiration in maize\u2013soybean systems over 10 years", "description": "unspecifiedSOC modeling & Eddy covarianceThis excel file contains calculations for soil organic carbon modeling and comparison with eddy covariance measurements for three field sites, along with a number of other types of related data analysis.18-4-4. SOC modeling-Eddy C..xlsx", "keywords": ["2. Zero hunger", "Lincoln", "13. Climate action", "Adam Liska", "15. Life on land", "7. Clean energy"], "contacts": [{"organization": "Zhan, Ming, Liska, Adam J., Nguy-Robertson, Anthony L., Suyker, Andrew E., Pelton, Matthew P., Yang, Haishun,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.r9n6hg4"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.r9n6hg4", "name": "item", "description": "10.5061/dryad.r9n6hg4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.r9n6hg4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-22T00:00:00Z"}}, {"id": "10.5061/dryad.sbcc2frbh", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "title": "Root functional traits determine the magnitude of the rhizosphere priming effect among eight tree species", "description": "Rhizosphere priming effect\u00a0can accelerate or decelerate the decomposition of soil organic matter.\u00a0Using a natural abundance 13C tracer method allowing partitioning of native soil organic carbon (SOC) decomposition and plant rhizosphere respiration, we studied the effects of eight tree species on the strength of the rhizosphere priming. All tree species enhanced the rate of SOC decomposition, by 82% on average.\u00a0Mean diameter of first-order roots and root exudate-derived respiration were positively correlated with the RPE, together explaining a large part of the observed variation in the RPE (R2 = 0.72), whereas root branching density was negatively associated with the RPE. Path analyses further suggested that mean diameter of first-order roots was the main driver of the RPE owing to its positive direct effect on the RPE and its indirect effects via root exudate-derived respiration and root branching density. These results demonstrate that the magnitude of the RPE is regulated by complementary aspects of root morphology, architecture and physiology, implying that comprehensive approaches are needed to reveal the multiple mechanisms driving plant effects on the RPE.", "keywords": ["13C natural abundance", "Plant functional traits", "rhizosphere priming effect", "Fine roots", "15. Life on land", "FOS: Natural sciences"], "contacts": [{"organization": "Chao, Lin, Liu, Yanyan, Zhang, Weidong, Wang, Qingkui, Guan, Xin, Yang, Qingpeng, Chen, Longchi, Zhang, Jianbing, Hu, Baoqing, Liu, Zhanfeng, Wang, Silong, Freschet, Gr\u00e9goire T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.sbcc2frbh"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.sbcc2frbh", "name": "item", "description": "10.5061/dryad.sbcc2frbh", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.sbcc2frbh"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-20T00:00:00Z"}}, {"id": "10.5061/dryad.qz612jmnx", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:17Z", "type": "Dataset", "created": "2023-10-30", "title": "Hot spots and hot moments of greenhouse gas emissions in agricultural peatlands", "description": "unspecified# Hot spots and hot moments of greenhouse gas emissions in agricultural peatlands [https://doi.org/10.5061/dryad.qz612jmnx](https://doi.org/10.5061/dryad.qz612jmnx)
2017-2021 Automated chamber (Eosense eosAC) and Picarro G2508 GHG analyzer flux data for CO2, CH4, and N2O from corn, pasture, and alfalfa, and 2018-2021 continuous soil sensing data (oxygen, moisture, and temperature) from corn and alfalfa ## Description of the data and file structure Alfalfa _Chamber, Corn _chamber, and Pasture _chamber flux data tab: Alfalfa: Continuous soil flux measurements from January 2017-February 2021 Corn: Continuous soil flux measurements from July 2017-October 2021 Pasture: Continuous soil flux measurements from April 2019-July 2022 * Chamber * ChamberPressure (kPa) * ChamberTemperature (K) * CO2 flux: CO2 _umol/m2/s * CH4 flux: CH4 _nmol/m2/s * N2O flux: N2O _nmol/m2/s * Site Year Alfalfa, Corn, Soil Sensor Data tab: Measurements at 10, 30, and 50 cm soil depths from October 2018-February 2021 * Temp = Temperature in Celsius * VWC= volumetric water content in m3/m3 * O2 = Oxygen concentration in % * TIMESTAMP: Date and Time * Temp _10cm (C) * Temp _30cm (C) * Temp _50cm (C) * VWC _10cm (m3/m3) * VWC _30cm (m3/m3) * VWC _50cm (m3/m3) * O2 _10cm (%) * O2 _30cm (%) * O2 _50cm (%) NEE: Net Ecosystem Exchange (\u00b5molCO2 m-2 s-1) data can be found in Ameriflux datasets available at URLs below ## Sharing/Access information Links to other publicly accessible locations of the data: Was data derived from another source? All Eddy covariance data (Net Ecosystem Exchange (NEE)) from Ameriflux tower sites. If yes, list source(s): https://ameriflux.lbl.gov/sites/siteinfo/US-Bi1 https://ameriflux.lbl.gov/sites/siteinfo/US-Bi1 https://ameriflux.lbl.gov/sites/siteinfo/US-Snf", "keywords": ["2. Zero hunger", "nitrous oxide", "hot moments", "greenhouse gas fluxes", "FOS: Earth and related environmental sciences", "15. Life on land", "12. Responsible consumption", "hot spots", "agricultural peatlands", "Carbon dioxide", "13. Climate action", "11. Sustainability", "soil fluxes", "Methane", "peatlands"], "contacts": [{"organization": "Anthony, Tyler", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.qz612jmnx"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.qz612jmnx", "name": "item", "description": "10.5061/dryad.qz612jmnx", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.qz612jmnx"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-06T00:00:00Z"}}, {"id": "10.5061/dryad.rbnzs7hhn", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "created": "2023-07-28", "title": "Data from: Sorghum bicolor TX08001 nodal root tissue development gene expression profiling", "description": "unspecifiedBioenergy sorghum\u2019s large nodal root system enables deposition of soil organic carbon deep in soil profiles aiding production of low carbon intensity biofuels from this crop. During bioenergy sorghum\u2019s long growing season, plants produce ~175 nodal roots In review bearing lateral roots that take up water and nutrients from >2 m deep in soil profiles, and aerial roots that support a complex phyllosphere. In the current study, nodal root bud development, a slow process spanning ~40 days, was characterized using microscopy and transcriptome analysis. A first ring of 10-15 nodal root buds was initiated in the stem pulvinus of phytomer 7 near sub-epidermal vascular bundles. A second ring of buds formed above the first ring much later in phytomer development. Nascent nodal root buds from phytomer 7 exhibited relatively high expression of pericycle marker genes (PFA) and genes involved in auxin transport (ABCB19, PIN4, LAX2), cytokinin signaling (TSO, MYB3R1), and cell proliferation (CYCB2;4, CDKB2;1, REM1). Following initiation, expression of genes involved in cell proliferation and cytokinin-signaling decreased while expression of genes involved in proliferative arrest, ABA-signaling, dormancy and stress tolerance increased. Further bud development was correlated with increased expression of WOX11 and PLT5 followed by PLT2, PLT4 and genes encoding RGF peptides that regulate PLT-expression and bud development. Expression of the ARF7-regulated LBD29, a gene required for nodal root formation, increased in parallel with increasing bud size to a maximum late in NRB development. Appearance of the nodal root bud cap late in development coincided with expression of SMB and FEZ, whereas genes such as WOX5 and two MYB36 family members were expressed at higher levels in outgrowing aerial roots. Genes involved in gibberellin, brassinosteroid, strigolactone, ethylene, jasmonate, salicyclic acid, and eATP signaling showed complex patterns of expression during nodal root bud formation. Overall, this study provides a detailed description of bioenergy sorghum nodal root bud development and transcriptome information useful for molecular analysis of networks that regulate nodal root development.", "keywords": ["2. Zero hunger", "Bioenergy sorghum", "FOS: Agricultural biotechnology", "nodal root buds", "hormone signaling", "15. Life on land", "aerial roots", "7. Clean energy", "transcriptome"], "contacts": [{"organization": "Lamb, Austin, McKinley, Brian, Kurtz, Evan, Mullet, John,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.rbnzs7hhn"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rbnzs7hhn", "name": "item", "description": "10.5061/dryad.rbnzs7hhn", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rbnzs7hhn"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-31T00:00:00Z"}}, {"id": "10.5061/dryad.rbnzs7hm4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "created": "2024-05-30", "title": "Data from: Mycorrhizal symbiosis increases plant phylogenetic diversity and regulate community assembly", "description": "unspecifiedFiled survey and data collection This study utilized field survey data collected from 1315 sites across various grassland ecosystems in China. \u00a0Vegetation surveys were conducted during the peak plant growth season, specifically from mid-July to August in middle and high latitude regions, including the Qinghai-Tibetan Plateau, and from August to September in desert, subtropical, and tropical regions.\u00a0 At each site, plant community data was collected using ten 1m \u00d7 1m quadrats (reduced to 0.5m \u00d7 0.5m for meadow and alpine meadow) located randomly within a 100m \u00d7 100m area.\u00a0 \u00a0For shrubland ecosystems, five 5m \u00d7 5m quadrats were randomly placed within the same 100m \u00d7 100m area.\u00a0 Five of the ten quadrats (or all five quadrats in shrublands) were randomly selected for detailed vegetation analysis. Within these selected quadrats, plant species richness (SR) and species relative abundance were recorded.\u00a0 Soil samples were collected from each quadrat using a soil core method at a depth of 20 cm. \u00a0Soil organic carbon content (SOC) were measured for each sample.\u00a0 Total phosphorus (TP), total nitrogen (TN), and soil pH were interpolated from the Basic soil property dataset of high-resolution China Soil Information Grids (2010-2018). To facilitate analysis and interpretation, the 1315 field sites were classified into four distinct ecosystem types: meadow (further categorized into lowland meadows (LM), mountain meadows (MM), and alpine meadows (AM)), steppe (divided into temperate steppe (TS) and alpine steppe (AS)), shrubland (classified as warm shrubland (WG) and tropical shrubland (TG)), and desert (DS). \u00a0This classification was based on plant community composition, climate, and prevailing environmental conditions. Mean annual temperature (MAT, \u00b0C), mean annual precipitation (MAP, mm), and mean diurnal range (mean of monthly maximum temperature - minimum temperature, \u00b0C) for each site were obtained from the WorldClim data layers (specifically, bio_1 and bio_12) at a spatial resolution of 30 seconds \u00d7 30 seconds (approximately 1 km \u00d7 1 km at the equator) (http://www.worldclim.org/). Remote sensing data, including Fraction of Photosynthetically Active Radiation (Fpar) were obtained from MOD15A2H Version 6 data product, slope and elevation data was extracted from the STRM 90m dataset 171 in China, based on the SRTM V4.1 database (https://www.resdc.cn/data.aspx?DATAID=123).\u00a0 Fpar is defined as the fraction of incident photosynthetically active radiation, 400-700 nanometers (nm), absorbed by the green elements of a vegetation canopy. Plant mycorrhizal status and community mycorrhizal index To quantify the mycorrhizal status of each plant community, we calculated a mycorrhizal index representing the degree of potential mycorrhizal colonization within the community. \u00a0The mycorrhizal status of each plant species was determined using an established database of mycorrhizal associations. \u00a0To minimize potential errors during the matching process, species were matched based on their genus level (Brundrett & Tedersoo 2019). The dominant mycorrhizal status of each community was determined based on the mycorrhizal status exhibiting the highest abundance within that community. \u00a0This approach allowed us to differentiate communities based on the predominant mycorrhizal association of their constituent plant species. Construction of phylogenetic relationships and calculation of phylogenetic distances Phylogenetic relationships and distances between plant species were determined using the V. PhyloMaker package and picante package in R. V. PhyloMaker generated phylogenetic hypotheses for the 1235 plant species in our study by linking them to the 'GBOTB.extended' megatree. \u00a0This megatree encompasses 74,531 species, representing all families of extant vascular plants, and serves as the largest dated phylogeny for vascular plants.\u00a0 Phylogenetic distances within each community were calculated using the picante package. \u00a0We calculated two metrics: mean pairwise distance (MPD) and mean nearest taxon distance (MNTD). \u00a0To account for the relative abundance of each species within the community, species abundance was incorporated as a weighting factor in the phylogenetic distance calculations. To mitigate the influence of species richness on community phylogenetic distances, standardized effect size metrics for MPD (SESMPD) and MNTD (SESMNTD) were calculated. \u00a0This standardization involved generating a null distribution by randomly shuffling the distance matrix labels across all taxa 999 times. \u00a0The mean of the null distribution was then used to calculate the standardized effect size. \u00a0SES values less than 0 indicate phylogenetic clustering, where species within the community are more closely related than expected by chance. \u00a0Conversely, SES values greater than 0 indicate phylogenetic overdispersion, where species are more distantly related than expected. Statistical analyses Comparison of plant community composition.\u00a0 To compare plant community composition across different dominant mycorrhizal status, we first examined the relative abundance of different plant families within each of the community types.\u00a0 We then performed non-metric multidimensional scaling (NMDS) using the metaMDS function in the vegan package, based on a Bray-Curtis distance matrix.\u00a0 The stress function value was assessed to ensure model reliability.\u00a0 Significant differences between groups were determined using Adonis, with significance levels denoted as follows: n.s. (not significant), *p < 0.05, **p < 0.01, and ***p < 0.001. Assessing the influence of mycorrhizae on species richness and phylogenetic diversity.\u00a0 To evaluate the role of mycorrhizae in shaping community species richness and phylogenetic diversity, we constructed a set of predictor variables encompassing climate (MAT, MAP, MDR, Fpar), geographic factors (longitude, latitude, elevation, slope), mycorrhizal status (MI), and soil properties (TN, TP, SOC, pH). Multiple regression models were developed using the MuMIn package in R to assess the effects of these predictors on species richness and phylogenetic diversity.\u00a0 A full set of models incorporating all predictors was generated and ranked based on the Akaike information criterion (AIC) using maximum likelihood estimation.\u00a0 Models with \u0394AIC < 2 were retained, and model averaging was employed to calculate parameter estimates and p-values.\u00a0 The relative effect of each predictor was determined by calculating the ratio of its parameter estimate to the sum of all parameter estimates.\u00a0 To further emphasize the importance of mycorrhizae in predicting species richness and phylogenetic diversity, we constructed comparative models excluding the mycorrhizal index while retaining all other predictors.\u00a0 These reduced models were compared to their corresponding full models using AICc values, with lower AICc values indicating superior model performance. Quantifying the relative importance of stochastic and deterministic processes in community assembly.\u00a0 To assess the influence of mycorrhizae on community assembly processes, we utilized normalized stochasticity ratio (NST) analysis.\u00a0 NST, an extension of the Beta-diversity metric, quantifies the relative contribution of stochastic and deterministic processes in community assembly.\u00a0 NST values range from 0 to 1, with 0.5 representing an equal contribution of both processes.\u00a0 NST values predominantly above 0.5 indicate dominance of stochastic processes, while values below 0.5 suggest a greater influence of deterministic processes. We further investigated the impact of different mycorrhizal plant types on community assembly using phylogenetic bin-based null model analysis (iCAMP) (Ning et al. 2020). \u00a0This method, implemented using the iCAMP package in R, divides plant species into phylogenetic bins with significant phylogenetic signals and quantifies the contribution of each bin to deterministic (homogeneous selection (HoS), heterogeneous selection (HeS)) and stochastic (dispersal limitation (DL), homogenizing dispersal (HD), and drift (DR)) processes. \u00a0We selected the 300 most abundant plant species (representing 91.6% of total individuals), assigned them to phylogenetic bins, and determined the dominant mycorrhizal status within each bin. \u00a0The relative contribution of each bin to different assembly processes was then assessed to quantify the influence of different mycorrhizal plant types on ecological processes.", "keywords": ["deterministic processes vs. stochastic processes", "Community assembly", "phylogenetic dispersion", "FOS: Biological sciences", "phylogenetic diversity", "community composition"], "contacts": [{"organization": "Zhang, Entao, Wang, Yang, Chen, Shiping, Zhou, Daowei, Shangguan, Zhouping, Huang, Jianhui, He, Jin-Sheng, Wang, Yanfen, Sheng, Jiandong, Tang, Lisong, Li, Xinrong, Dong, Ming, Yan, Yan, Hu, Shuijin, Bai, Yongfei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.rbnzs7hm4"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rbnzs7hm4", "name": "item", "description": "10.5061/dryad.rbnzs7hm4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rbnzs7hm4"}, {"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": "10.5061/dryad.rn7c5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "title": "Data from: Shrubs as ecosystem engineers across an environmental gradient: effects on species richness and exotic plant invasion", "description": "unspecifiedEcosystem-engineering plants modify the physical environment and can increase species diversity and exotic species invasion. At the individual level, the effects of ecosystem engineers on other plants often become more positive in stressful environments. In this study, we investigated whether the community-level effects of ecosystem engineers also become stronger in more stressful environments. Using comparative and experimental approaches, we assessed the ability of a native shrub (Ericameria ericoides) to act as an ecosystem engineer across a stress gradient in a coastal dune in northern California, USA. We found increased coarse organic matter and lower wind speeds within shrub patches. Growth of a dominant invasive grass (Bromus diandrus) was facilitated both by aboveground shrub biomass and by growing in soil taken from shrub patches. Experimental removal of shrubs negatively affected species most associated with shrubs and positively affected species most often found outside of shrubs. Counter to the stress-gradient hypothesis, the effects of shrubs on the physical environment and individual plant growth did not increase across the established stress gradient at this site. At the community level, shrub patches increased beta diversity, and contained greater rarified richness and exotic plant cover than shrub-free patches. Shrub effects on rarified richness increased with environmental stress, but effects on exotic cover and beta diversity did not. Our study provides evidence for the community-level effects of shrubs as ecosystem engineers in this system, but shows that these effects do not necessarily become stronger in more stressful environments.", "keywords": ["ecosystem engineers", "Stress-gradient hypothesis", "Anthropocene", "Bromus diandrus", "15. Life on land", "exotic species", "Ericameria ericoides", "Coastal dunes"], "contacts": [{"organization": "Kleinhesselink, Andrew R., Magnoli, Susan M., Cushman, J. Hall,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.rn7c5"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rn7c5", "name": "item", "description": "10.5061/dryad.rn7c5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rn7c5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-27T00:00:00Z"}}, {"id": "10.5061/dryad.rn8pk0pm8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "created": "2024-06-28", "title": "Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass-based biofuel production", "description": "unspecifiedThis study investigates uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production in Michigan. Using three life cycle assessment (LCA) databases\u2014 US lifecycle inventory database (USLCI), GREET, and Ecoinvent\u2014each with multiple versions, we recalculated the global warming intensity (GWI) and GHG mitigation potential in a static calculation. Employing Monte Carlo simulations along with local and global sensitivity analyses, we assess uncertainties and pinpoint key parameters influencing GWI. The convergence of results across our previous study, static calculations, and Monte Carlo simulations enhances the credibility of estimated GWI values. Static calculations, validated by Monte Carlo simulations, offer reasonable central tendencies, providing a robust foundation for policy considerations. However, the wider range observed in Monte Carlo simulations underscores the importance of potential variations and uncertainties in real-world applications. Sensitivity analyses identify biofuel yield, GHG emissions of electricity, and soil organic carbon (SOC) change as pivotal parameters influencing GWI. Decreasing uncertainties in GWI may be achieved by making greater efforts to acquire more precise data on these parameters. Our study emphasizes the significance of considering diverse GHG factors and databases in GWI assessments and stresses the need for accurate electricity fuel mixes, crucial information for refining GWI assessments and informing strategies for sustainable biofuel production.", "keywords": ["Sensitivity Analysis", "Switchgrass", "FOS: Environmental engineering", "Cellulosic biofuel", "Global warming intensity", "Greenhouse gas emission factor", "LCA database", "uncertainty analysis"], "contacts": [{"organization": "Kim, Seungdo, Dale, Bruce, Basso, Bruno,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.rn8pk0pm8"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rn8pk0pm8", "name": "item", "description": "10.5061/dryad.rn8pk0pm8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rn8pk0pm8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-16T00:00:00Z"}}, {"id": "10.5061/dryad.s4mw6m9bc", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "title": "Divergent responses of grassland productivity and plant diversity to intra-annual precipitation variability across climate regions: A global synthesis", "description": "Global warming intensifies the hydrological cycle and may result in changes in the frequency and intensity of precipitation events. Although the effects of changes in precipitation amount and inter-annual precipitation variability on terrestrial plant productivity and carbon sequestration have been well studied, how intra-annual precipitation variability affects terrestrial ecosystem function remains unclear. Here, we synthesized field manipulative experiments from 71 publications to quantify the effects of intra-annual precipitation variability increases (IPVI) on community biomass and plant diversity in grasslands worldwide. \u00a0At the global scale, we found that IPVI generally increased grassland community aboveground biomass (AGB) by 6%, and decreased grass biomass and soil ammonium nitrogen by 12% and 31%, respectively. IPVI stimulated AGB, belowground biomass, and plant species richness in arid regions, but not changed them in humid regions. Changes in AGB under IPVI were related to changes in the biomass of plant functional groups, species richness, and soil moisture. Structural equation modelling demonstrated that that climate conditions (mean annual temperature and mean annual precipitation) and background soil properties (soil sand content and soil organic carbon content) jointly regulated grassland AGB responses to IPVI across climate types. Synthesis: Overall, our study shows that grassland productivity and diversity may increase under IPVI in arid climates, and that humid grasslands may be highly resistant to the effects of IPVI. These findings have important implications for understanding ecosystem carbon cycling under global precipitation change scenarios.", "keywords": ["2. Zero hunger", "meta-analysis", "13. Climate action", "soil properties", "intra-annual precipitation variability increase", "15. Life on land", "grassland", "species richness", "aboveground biomass", "Soil water availability", "FOS: Natural sciences"], "contacts": [{"organization": "Su, Jishuai, Zhang, Yi, Xu, Fengwei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.s4mw6m9bc"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.s4mw6m9bc", "name": "item", "description": "10.5061/dryad.s4mw6m9bc", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.s4mw6m9bc"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-16T00:00:00Z"}}, {"id": "10.5061/dryad.sq72d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "title": "Data from: Multiple stressors and the cause of amphibian abnormalities", "description": "unspecifiedThe repeated occurrence of abnormal amphibians in nature points to ecological imbalance, yet identifying causes of these abnormalities has proved complex. Multiple studies have linked amphibian abnormalities to chemically contaminated areas, but inference about causal mechanisms is lacking. Here we use a high incidence of abnormalities in Alaskan wood frogs to strengthen inference about the mechanism for these abnormalities. We suggest that limb abnormalities are caused by a combination of multiple stressors. Specifically, toxicants lead to increased predation, resulting in more injuries to developing limbs and subsequent developmental malformations. We evaluated a variety of putative causes of frog abnormalities at 21 wetlands on the Kenai National Wildlife Refuge, south-central Alaska, USA, between 2004 and 2006. Variables investigated were organic and inorganic contaminants, parasite infection, abundance of predatory invertebrates, UVB, and temperature. Logistic regression and model comparison using the Akaike information criterion (AIC) identified dragonflies and both organic and inorganic contaminants as predictors of the frequency of skeletal abnormalities. We suggest that both predators and contaminants alter ecosystem dynamics to increase the frequency of amphibian abnormalities in contaminated habitat. Future experiments should test the causal mechanisms by which toxicants and predators may interact to cause amphibian limb abnormalities.", "keywords": ["Lithobates sylvaticus", "metal", "Annelida", "lentic", "DOC", "2000-2012", "present", "Hemiptera", "Arachnida", "Amphipoda", "14. Life underwater", "Invertebrate", "Ephemeroptera", "Branchiopoda", "disease", "Trichoptera", "Diptera", "abnormality", "anion", "15. Life on land", "6. Clean water", "wetland", "frog", "malformation", "Water quality", "2010-2012", "amphibian"], "contacts": [{"organization": "Reeves, Mari K., Perdue, Margaret, Holyoak, Marcel, Hagedorn, Birgit, Rinella, Daniel, Bogan, Daniel, Munk, LeeAnn, Battaglin, William, Dolph, Christine L., Trust, Kimberly A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.sq72d"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.sq72d", "name": "item", "description": "10.5061/dryad.sq72d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.sq72d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-09-29T00:00:00Z"}}, {"id": "10.5061/dryad.sqv9s4n66", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:18Z", "type": "Dataset", "created": "2023-08-17", "title": "Drivers of nematode diversity in forest soils across climatic zones", "description": "Nematodes are the most abundant multi-cellular animals in soil, influencing key processes and functions in terrestrial ecosystems. Yet, little is known about the drivers of nematode abundance and diversity in forest soils across climatic zones. This is despite forests cover approximately 30% of the earth\u2019s land surface, provide many crucial ecosystem services but strongly vary in hydrothermal conditions and associated ecosystem properties across climatic zones. Here, we collected nematode samples from 13 forests across a latitudinal gradient. We divided this gradient in temperate, warm-temperate, and tropical climatic zones and found that across the gradient, nematode abundance and diversity were mainly influenced by soil organic carbon. However, mean annual temperature and total soil phosphorus in temperate zones, soil pH in warm-temperate zones, and mean annual precipitation in tropical zones were more important in driving nematode alpha-diversity, biomass and abundance. Additionally, nematode beta-diversity was higher in temperate than in warm-temperate and tropical zones. Together, our findings demonstrate that the drivers of nematode diversity in forested ecosystems are affected by the spatial scale and climatic conditions considered. This implies that high resolution studies are needed to accurately predict how soil functions respond if climate conditions move beyond the coping range of soil organisms.", "keywords": ["FOS: Biological sciences", "Forest", "15. Life on land", "nematode diversity"], "contacts": [{"organization": "Shao, Yuanhu", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.sqv9s4n66"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.sqv9s4n66", "name": "item", "description": "10.5061/dryad.sqv9s4n66", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.sqv9s4n66"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-24T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Ne&offset=4900&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=Ne&offset=4900&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=Ne&offset=4850", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Ne&offset=4950", "hreflang": "en-US"}], "numberMatched": 11182, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T11:00:16.250260Z"}