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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.
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
| selected citations These citations are derived from selected sources. 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). | 963 | |
| 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% |
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