{"type": "FeatureCollection", "features": [{"id": "10.1002/ecy.2199", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:13:58Z", "type": "Journal Article", "created": "2018-02-27", "title": "Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe", "description": "Abstract<p>The relationship between the spatial variability of soil multifunctionality (i.e., the capacity of soils to conduct multiple functions; SVM) and major climatic drivers, such as temperature and aridity, has never been assessed globally in terrestrial ecosystems. We surveyed 236 dryland ecosystems from six continents to evaluate the relative importance of aridity and mean annual temperature, and of other abiotic (e.g., texture) and biotic (e.g., plant cover) variables as drivers of SVM, calculated as the averaged coefficient of variation for multiple soil variables linked to nutrient stocks and cycling. We found that increases in temperature and aridity were globally correlated to increases in SVM. Some of these climatic effects on SVM were direct, but others were indirectly driven through reductions in the number of vegetation patches and increases in soil sand content. The predictive capacity of our structural equation\uffc2\uffa0modelling was clearly higher for the spatial variability of N\uffe2\uff80\uff90 than for C\uffe2\uff80\uff90 and P\uffe2\uff80\uff90related soil variables. In the case of N cycling, the effects of temperature and aridity were both direct and indirect via changes in soil properties. For C and P, the effect of climate was mainly indirect via changes in plant attributes. These results suggest that future changes in climate may decouple the spatial availability of these elements for plants and microbes in dryland soils. Our findings significantly advance our understanding of the patterns and mechanisms driving SVM in drylands across the globe, which is critical for predicting changes in ecosystem functioning in response to climate change.</p", "keywords": ["Abiotic component", "Atmospheric sciences", "Physical geography", "Arid", "Climate Change", "Soil Science", "Spatial variability", "Environmental science", "Agricultural and Biological Sciences", "Soil", "Biodiversity Conservation and Ecosystem Management", "Soil texture", "Aridity index", "XXXXXX - Unknown", "Soil water", "FOS: Mathematics", "Pathology", "Climate change", "Biology", "Ecosystem", "Nature and Landscape Conservation", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Soil Fertility", "Ecology", "Geography", "Global Forest Drought Response and Climate Change", "Statistics", "Temperature", "Life Sciences", "Cycling", "Geology", "FOS: Earth and related environmental sciences", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Ecosystem Functioning", "Vegetation (pathology)", "Mathematics", "carbon cycling; climate change; multifunctionality; nitrogen cycling; phosphorous cycling; spatial heterogeneity"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/128150/8/Dur-n_et_al-2018-Ecology.pdf"}, {"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2199"}, {"href": "https://doi.org/10.1002/ecy.2199"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ecy.2199", "name": "item", "description": "10.1002/ecy.2199", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ecy.2199"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-01T00:00:00Z"}}, {"id": "10.1002/eco.1508", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:13:58Z", "type": "Journal Article", "created": "2014-05-08", "title": "Spatial Heterogeneity Of Fine Root Biomass And Soil Carbon In A California Oak Savanna Illuminates Plant Functional Strategy Across Periods Of High And Low Resource Supply", "description": "Abstract<p>We sampled isolated trees and tree clusters from a blue oak, Quercus douglasii, savanna to determine the spatial heterogeneity of fine root biomass and soil carbon across the landscape as a function of tree size and configuration. We aimed to understand how fine root structure enables sustained ecosystem metabolism through a summer of limited moisture and high heat and facilitates resource acquisition during the short period of high resource supply. An additional goal was to provide a basis for upscaling root biomass and soil carbon to the landscape scale. We sampled trees of different size and tree clusters via a stratified sampling scheme that accounted for spatial heterogeneity in root biomass and soil carbon with lateral distance from the tree bole, or cluster centre, and soil depth. We upscaled these estimates using site\uffe2\uff80\uff90specific information from a lidar survey. We found that fine roots and soil carbon are spatially heterogeneous in their landscape distribution and greatly increase with tree size. We also found that Q.\uffe2\uff80\uff89douglasii possesses a dimorphic fine root architecture, uniquely suited to the region's climatic constraints and exhibits morphological plasticity among trees of different size and physical setting. Copyright \uffc2\uffa9 2014 John Wiley &amp; Sons, Ltd.</p>", "keywords": ["upscaling", "0106 biological sciences", "Agricultural", "Ecology", "Agricultural and Veterinary Sciences", "Forestry Sciences", "fine root biomass", "Quercus douglasii", "spatial heterogeneity", "Veterinary and Food Sciences", "oak savanna", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "01 natural sciences", "3. Good health", "Environmental sciences", "Biological sciences", "veterinary and food sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon", "precipitation change", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.1002/eco.1508"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecohydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eco.1508", "name": "item", "description": "10.1002/eco.1508", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eco.1508"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-06-04T00:00:00Z"}}, {"id": "10.1007/s10021-013-9731-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:14:29Z", "type": "Journal Article", "created": "2013-12-05", "title": "Optimizing Carbon Storage Within A Spatially Heterogeneous Upland Grassland Through Sheep Grazing Management", "description": "Livestock grazing is known to influence carbon (C) storage in vegetation and soil. Yet, for grazing management to be used to optimize C storage, large scale investigations that take into account the typically heterogeneous distribution of grazers and C across the landscape are required. In a landscape-scale grazing experiment in the Scottish uplands, we quantified C stored in swards dominated by the widespread tussock-forming grass species Molinia caerulea. The impact of three sheep stocking treatments (\u2018commercial\u2019 2.7\u00a0ewes\u00a0ha\u22121\u00a0y\u22121, \u2018low\u2019 0.9\u00a0ewes\u00a0ha\u22121\u00a0y\u22121 and no livestock) on plant C stocks was determined at three spatial scales; tussock, sward and landscape, and these data were used to predict long-term changes in soil organic carbon (SOC). We found that tussocks were particularly dense C stores (that is, high C mass per unit area) and that grazing reduced their abundance and thus influenced C stocks held in M. caerulea swards across the landscape; C stocks were 3.83, 5.01 and 6.85\u00a0Mg\u00a0C\u00a0ha\u22121 under commercial sheep grazing, low sheep grazing and no grazing, respectively. Measured vegetation C in the three grazing treatments provided annual C inputs to RothC, an organic matter turnover model, to predict changes in SOC over 100\u00a0years. RothC predicted SOC to decline under commercial sheep stocking and increase under low sheep grazing and no grazing. Our findings suggest that no sheep and low-intensity sheep grazing are better upland management practices for enhancing plant and soil C sequestration than commercial sheep grazing. This is evaluated in the context of other upland management objectives.", "keywords": ["0106 biological sciences", "2. Zero hunger", "330", "QH301 Biology", "spatial heterogeneity", "livestock grazing", "04 agricultural and veterinary sciences", "15. Life on land", "RothC", "01 natural sciences", "QH301", "Molinia caerulea", "upland", "Biotechnology and Biological Sciences Research Council (BBSRC)", "0401 agriculture", " forestry", " and fisheries", "soil carbon"]}, "links": [{"href": "https://doi.org/10.1007/s10021-013-9731-7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10021-013-9731-7", "name": "item", "description": "10.1007/s10021-013-9731-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-013-9731-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-12-06T00:00:00Z"}}, {"id": "10.1007/s10021-014-9764-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:14:29Z", "type": "Journal Article", "created": "2014-03-18", "title": "A Synthesis of Climate and Vegetation Cover Effects on Biogeochemical Cycling in Shrub-Dominated Drylands", "description": "Semi-arid and arid ecosystems dominated by shrubs (\u201cdry shrublands\u201d) are an important component of the global C cycle, but impacts of climate change and elevated atmospheric CO2 on biogeochemical cycling in these ecosystems have not been synthetically assessed. This study synthesizes data from manipulative studies and from studies contrasting ecosystem processes in different vegetation microsites (that is, shrub or herbaceous canopy versus intercanopy microsites), to assess how changes in climate and atmospheric CO2 affect biogeochemical cycles by altering plant and microbial physiology and ecosystem structure. Further, we explore how ecosystem structure impacts on biogeochemical cycles differ across a climate gradient. We found that: (1) our ability to project ecological responses to changes in climate and atmospheric CO2 is limited by a dearth of manipulative studies, and by a lack of measurements in those studies that can explain biogeochemical changes, (2) changes in ecosystem structure will impact biogeochemical cycling, with decreasing pools and fluxes of C and N if vegetation canopy microsites were to decline, and (3) differences in biogeochemical cycling between microsites are predictable with a simple aridity index (MAP/MAT), where the relative difference in pools and fluxes of C and N between vegetation canopy and intercanopy microsites is positively correlated with aridity. We conclude that if climate change alters ecosystem structure, it will strongly impact biogeochemical cycles, with increasing aridity leading to greater heterogeneity in biogeochemical cycling among microsites. Additional long-term manipulative experiments situated across dry shrublands are required to better predict climate change impacts on biogeochemical cycling in deserts.", "keywords": ["580", "0106 biological sciences", "550", "spatial heterogeneity", "biogeochemical cycles", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "elevated atmospheric CO2", "climate change", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "14. Life underwater", "semi-arid and arid ecosystems", "meta analysis"]}, "links": [{"href": "https://doi.org/10.1007/s10021-014-9764-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10021-014-9764-6", "name": "item", "description": "10.1007/s10021-014-9764-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-014-9764-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-03-18T00:00:00Z"}}, {"id": "10.1016/j.agee.2012.05.019", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-07-26T16:15:12Z", "type": "Journal Article", "created": "2012-06-20", "title": "Changes In Soil Carbon Of Pastures After Afforestation With Mixed Species: Sampling, Heterogeneity And Surrogates", "description": "Abstract   Accurate and efficient estimation of soil C is vital to understanding and monitoring the role of afforestation in C sequestration. Here, we focused on the potential of mixed-species plantings, for which there is negligible information but expanding investment due to their added environmental benefits. We surveyed soil C and N over a representative chronosequence (5\u201329 years old) of existing plantings, including measurements in the adjacent pastures to account for differences in soil type and land-use history among properties. Vegetation characteristics of the tree plantings were measured to identify potential surrogates for rapid assessment of soil C. Soil C was highly heterogeneous under the plantings and the adjacent pastures, with up to eight cores required to sample adequately a plot of 400\u00a0m2. Vegetation surrogates had limited success in predicting soil C after afforestation, with the only strong predictors being tree density and planting age. Three decades of afforestation with mixed species had not led to substantial changes in C concentration or content of the soil. The C:N ratio of soils increased with planting age suggesting that the C becomes more resistant to decomposition after afforestation. Over longer time scales, tree plantings are likely to have larger impacts on the amount and forms of soil C.", "keywords": ["2. Zero hunger", "Afforestation", "soil surrogates", "spatial heterogeneity", "mixed-species plantings", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "sampling size", "C:N ratio"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2012.05.019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2012.05.019", "name": "item", "description": "10.1016/j.agee.2012.05.019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2012.05.019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-09-01T00:00:00Z"}}, {"id": "10.1016/j.jclepro.2020.125466", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:16:19Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. Life on land", "Economics", " Econometrics and Finance", "Driving factors", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Spatial heterogeneity", "Common spatial pattern", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.jclepro.2020.125466"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jclepro.2020.125466", "name": "item", "description": "10.1016/j.jclepro.2020.125466", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jclepro.2020.125466"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2021.108357", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:16:50Z", "type": "Journal Article", "created": "2021-07-10", "title": "A critical perspective on interpreting amplicon sequencing data in soil ecological research", "description": "Abstract   Microbial community analysis via marker gene amplicon sequencing has become a routine method in the field of soil research. In this perspective, we discuss technical challenges and limitations of amplicon sequencing and present statistical and experimental approaches that can help addressing the spatio-temporal complexity of soil and the high diversity of organisms therein. We illustrate the impact of compositionality on the interpretation of relative abundance data and discuss effects of sample replication on the statistical power in soil community analysis. Additionally, we argue for the need of increased study reproducibility and data availability, as well as complementary techniques for generating deeper ecological insights into microbial roles and our understanding thereof in soil ecosystems. At this stage, we call upon researchers and specialized soil journals to consider the current state of data analysis, interpretation, and availability to improve the rigor of future studies.", "keywords": ["0301 basic medicine", "2. Zero hunger", "Soil microbial diversity", "0303 health sciences", "Soil metabarcoding", "DIVERSITY", "Ecology; Soil microbes; Amplicon sequencing", "Compositional data", "SCALE SPATIAL HETEROGENEITY", "15. Life on land", "BIOMASS", "03 medical and health sciences", "106026 \u00d6kosystemforschung", "Soil complexity", "CARBON-USE EFFICIENCY", "BACTERIA", "DNA EXTRACTION", "MICROORGANISMS", "MICROBIAL COMMUNITIES", "106026 Ecosystem research", "RIBOSOMAL-RNA", "Amplicon sequencing", "Soil microorganisms", "GENERATION"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2021.108357"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2021.108357", "name": "item", "description": "10.1016/j.soilbio.2021.108357", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2021.108357"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "10.3390/f13091456", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:20:45Z", "type": "Journal Article", "created": "2022-09-13", "title": "Knowledge about Plant Coexistence during Vegetation Succession for Forest Management on the Loess Plateau, China", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Coexistence between species within plant communities is a key issue in the practice of revegetation, forest management, and biodiversity conservation. Vegetation restoration is critical to control soil erosion and improve the ecological environment on the Loess Plateau. Here, we investigate the interspecific relationships of dominant plants during natural vegetation succession on the Loess Plateau. The results suggest that, under the ecological process of environmental filtering, species within communities can reduce interspecific competition and promote species coexistence via spatial heterogeneity and temporal asynchronous differences. The ecological niche overlap index (Oik) significantly and positively correlated with the strength of interspecific associations. Most species pairs had weak competition and more stable interspecific relationships. The results of the \u03c72 test showed that 317 species pairs were positively associated and 118 were negatively associated. The community is in a positive succession process, and the interaction relationship between species tends to be neutral. We should enhance the protection of positively associated species and pay attention to negatively associated species during forest management. Results revealed that Carex lanceolata Boott and Lespedeza bicolor Turcz coexisted easily with other species for mutual benefit, which could help build artificial forestland of native species to improve the ecological function.</p></article>", "keywords": ["Overlap", "2. Zero hunger", "0106 biological sciences", "Plant communities", "ecological niche; overlap; plant communities; interspecific relationship; biodiversity conservation; spatial heterogeneity", "Ecological niche", "http://metadata.un.org/sdg/15", "Spatial heterogeneity", "Interspecific relationship", "15. Life on land", "Biodiversity conservation", "Protect", " restore and promote sustainable use of terrestrial ecosystems", " sustainably manage forests", " combat\u00a0desertification", " and halt and reverse land degradation and halt biodiversity loss", "01 natural sciences"]}, "links": [{"href": "http://www.mdpi.com/1999-4907/13/9/1456/pdf"}, {"href": "https://www.mdpi.com/1999-4907/13/9/1456/pdf"}, {"href": "https://doi.org/10.3390/f13091456"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/f13091456", "name": "item", "description": "10.3390/f13091456", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/f13091456"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-10T00:00:00Z"}}, {"id": "10.5061/dryad.ns92q", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:29Z", "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": "10.60692/9nxrv-e7y75", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:24:12Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. Life on land", "Economics", " Econometrics and Finance", "Driving factors", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Spatial heterogeneity", "Common spatial pattern", "Mathematics"]}, "links": [{"href": "https://doi.org/10.60692/9nxrv-e7y75"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/9nxrv-e7y75", "name": "item", "description": "10.60692/9nxrv-e7y75", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/9nxrv-e7y75"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "10261/308712", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:24:38Z", "type": "Journal Article", "created": "2022-09-12", "title": "Knowledge about Plant Coexistence during Vegetation Succession for Forest Management on the Loess Plateau, China", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Coexistence between species within plant communities is a key issue in the practice of revegetation, forest management, and biodiversity conservation. Vegetation restoration is critical to control soil erosion and improve the ecological environment on the Loess Plateau. Here, we investigate the interspecific relationships of dominant plants during natural vegetation succession on the Loess Plateau. The results suggest that, under the ecological process of environmental filtering, species within communities can reduce interspecific competition and promote species coexistence via spatial heterogeneity and temporal asynchronous differences. The ecological niche overlap index (Oik) significantly and positively correlated with the strength of interspecific associations. Most species pairs had weak competition and more stable interspecific relationships. The results of the \u03c72 test showed that 317 species pairs were positively associated and 118 were negatively associated. The community is in a positive succession process, and the interaction relationship between species tends to be neutral. We should enhance the protection of positively associated species and pay attention to negatively associated species during forest management. Results revealed that Carex lanceolata Boott and Lespedeza bicolor Turcz coexisted easily with other species for mutual benefit, which could help build artificial forestland of native species to improve the ecological function.</p></article>", "keywords": ["Overlap", "2. Zero hunger", "0106 biological sciences", "Protect", " restore and promote sustainable use of terrestrial ecosystems", " sustainably manage forests", " combat desertification", " and halt and reverse land degradation and halt biodiversity loss", "Plant communities", "Ecological niche", "ecological niche; overlap; plant communities; interspecific relationship; biodiversity conservation; spatial heterogeneity", "http://metadata.un.org/sdg/15", "Spatial heterogeneity", "Interspecific relationship", "15. Life on land", "Biodiversity conservation", "01 natural sciences"]}, "links": [{"href": "http://www.mdpi.com/1999-4907/13/9/1456/pdf"}, {"href": "https://www.mdpi.com/1999-4907/13/9/1456/pdf"}, {"href": "https://doi.org/10261/308712"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/308712", "name": "item", "description": "10261/308712", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/308712"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-10T00:00:00Z"}}, {"id": "11585/996222", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:25:01Z", "type": "Journal Article", "created": "2021-07-10", "title": "A critical perspective on interpreting amplicon sequencing data in soil ecological research", "description": "Abstract   Microbial community analysis via marker gene amplicon sequencing has become a routine method in the field of soil research. In this perspective, we discuss technical challenges and limitations of amplicon sequencing and present statistical and experimental approaches that can help addressing the spatio-temporal complexity of soil and the high diversity of organisms therein. We illustrate the impact of compositionality on the interpretation of relative abundance data and discuss effects of sample replication on the statistical power in soil community analysis. Additionally, we argue for the need of increased study reproducibility and data availability, as well as complementary techniques for generating deeper ecological insights into microbial roles and our understanding thereof in soil ecosystems. At this stage, we call upon researchers and specialized soil journals to consider the current state of data analysis, interpretation, and availability to improve the rigor of future studies.", "keywords": ["0301 basic medicine", "2. Zero hunger", "Soil microbial diversity", "0303 health sciences", "Soil metabarcoding", "DIVERSITY", "Ecology; Soil microbes; Amplicon sequencing", "Compositional data", "SCALE SPATIAL HETEROGENEITY", "15. Life on land", "BIOMASS", "03 medical and health sciences", "106026 \u00d6kosystemforschung", "Soil complexity", "CARBON-USE EFFICIENCY", "BACTERIA", "DNA EXTRACTION", "MICROORGANISMS", "MICROBIAL COMMUNITIES", "106026 Ecosystem research", "RIBOSOMAL-RNA", "Amplicon sequencing", "Soil microorganisms", "GENERATION"]}, "links": [{"href": "https://doi.org/11585/996222"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/996222", "name": "item", "description": "11585/996222", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/996222"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "3111070593", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:26:09Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. 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