Downloads provided by UsageCounts
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Soil nematode abundance and functional group composition at a global scale
Soil organisms are a crucial part of the terrestrial biosphere. Despite their importance for ecosystem functioning, few quantitative, spatially explicit models of the active belowground community currently exist. In particular, nematodes are the most abundant animals on Earth, filling all trophic levels in the soil food web. Here we use 6,759 georeferenced samples to generate a mechanistic understanding of the patterns of the global abundance of nematodes in the soil and the composition of their functional groups. The resulting maps show that 4.4 ± 0.64 × 1020 nematodes (with a total biomass of approximately 0.3 gigatonnes) inhabit surface soils across the world, with higher abundances in sub-Arctic regions (38% of total) than in temperate (24%) or tropical (21%) regions. Regional variations in these global trends also provide insights into local patterns of soil fertility and functioning. These high-resolution models provide the first steps towards representing soil ecological processes in global biogeochemical models and will enable the prediction of elemental cycling under current and future climate scenarios.
- Institute of Applied Ecology China (People's Republic of)
- National Research Institute for Agriculture, Food and Environment France
- University of Göttingen Germany
- University of Helsinki Finland
- Russian Academy of Sciences Russian Federation
550, Nematoda, DIVERSITY, Geographic Mapping, Nematoda/chemistry, /dk/atira/pure/subjectarea/asjc/1000; name=General, BIOMASS, CARBON, Soil, name=General, /dk/atira/pure/subjectarea/asjc/1000, soil nematodes, Biomass, SDG 15 - Life on Land, name=SDG 15 - Life on Land, Uncertainty, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land, Phylogeography, machine learning, Biogeography, international, BACTERIA, Carbon/metabolism, ecological modelling, RIBOSOMAL-RNA, 570, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land, Soil/parasitology, XXXXXX - Unknown, Machine learning, Life Science, Animals, soils, biogeography, Ecological modelling, Reproducibility of Results, MATURITY INDEX, Carbon, OXYGEN-CONSUMPTION, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, nematodes, PATTERNS, BIODIVERSITY, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, COMMUNITIES
550, Nematoda, DIVERSITY, Geographic Mapping, Nematoda/chemistry, /dk/atira/pure/subjectarea/asjc/1000; name=General, BIOMASS, CARBON, Soil, name=General, /dk/atira/pure/subjectarea/asjc/1000, soil nematodes, Biomass, SDG 15 - Life on Land, name=SDG 15 - Life on Land, Uncertainty, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land, Phylogeography, machine learning, Biogeography, international, BACTERIA, Carbon/metabolism, ecological modelling, RIBOSOMAL-RNA, 570, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land, Soil/parasitology, XXXXXX - Unknown, Machine learning, Life Science, Animals, soils, biogeography, Ecological modelling, Reproducibility of Results, MATURITY INDEX, Carbon, OXYGEN-CONSUMPTION, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, nematodes, PATTERNS, BIODIVERSITY, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, COMMUNITIES
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).866 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.01% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.01% visibility views 99 download downloads 139 - 99views139downloads
Data source Views Downloads DIGITAL.CSIC 99 139

Views provided by UsageCounts
Downloads provided by UsageCounts