Global monitoring of soil animal communities using a common methodology
Potapov, A. M., Sun, X., Barnes, A. D., Briones, M. J., Brown, G. G., Cameron, E. K., Chang, C.-H., Cortet, J., Eisenhauer, N., Franco, A. L., Fujii, S., Geisen, S., Guerra, C., Gongalsky, K., Haimi, J., Handa, I. T., Janion-Sheepers, C., Karaban, K., Lindo, Z., . . . Wall, D. (2022). Global monitoring of soil animal communities using a common methodology. Soil Organisms, 94(1), 55-68. https://doi.org/10.25674/so94iss1id178
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Soil OrganismsAuthors
Sun, Xin |
Date
2022Copyright
© Senckenberg Museum of Natural History Görlitz 2022
Here we introduce the Soil BON Foodweb Team, a cross-continental collaborative network that aims to monitor soil animal communities and food webs using consistent methodology at a global scale. Soil animals support vital soil processes via soil structure modification, consumption of dead organic matter, and interactions with microbial and plant communities. Soil animal effects on ecosystem functions have been demonstrated by correlative analyses as well as in laboratory and field experiments, but these studies typically focus on selected animal groups or species at one or few sites with limited variation in environmental conditions. The lack of comprehensive harmonised large-scale soil animal community data including microfauna, mesofauna, and macrofauna, in conjunction with related soil functions, microbial communities, and vegetation, limits our understanding of biological interactions in soil systems and how these interactions affect ecosystem functioning. To provide such data, the Soil BON Foodweb Team invites researchers worldwide to use a common methodology to address six long-term goals: (1) to collect globally representative harmonised data on soil micro-, meso-, and macrofauna communities, (2) to describe key environmental drivers of soil animal communities and food webs, (3) to assess the efficiency of conservation approaches for the protection of soil animal communities, (4) to describe soil food webs and their association with soil functioning globally, (5) to establish a global research network for soil biodiversity monitoring and collaborative projects in related topics, (6) to reinforce local collaboration networks and expertise and support capacity building for soil animal research around the world. In this paper, we describe the vision of the global research network and the common sampling protocol to assess soil animal communities and advocate for the use of standard methodologies across observational and experimental soil animal studies. We will use this protocol to conduct soil animal assessments and reconstruct soil food webs at sites associated with the global soil biodiversity monitoring network, Soil BON, allowing us to assess linkages among soil biodiversity, vegetation, soil physico-chemical properties, climate, and ecosystem functions. In the present paper, we call for researchers especially from countries and ecoregions that remain underrepresented in the majority of soil biodiversity assessments to join us. Together we will be able to provide science-based evidence to support soil biodiversity conservation and functioning of terrestrial ecosystems.
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Senckenberg Museum of Natural History GörlitzISSN Search the Publication Forum
1864-6417Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/150922016
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AP and SS acknowledge support of the German Research Foundation (DFG–SFB 990, 192626868 – collaborative German - Indonesian research project CRC990 - EFForTS). NE acknowledges support of iDiv funded by the German Research Foundation (DFG– FZT 118, 202548816). NE acknowledges funding by the by the DFG (Ei 862/29-1 and Ei 862/31-1) and European Research Council (ERC) under the European Union‘s Horizon 2020 research and innovation program (grant agreement no. 677232). GGB acknowledges support of CNPq (Process 310690/2017-0). XS acknowledges support of the National Natural Science Foundation of China (No. 42021005, 41571052), and the National Science and Technology Fundamental Resources Investigation Program of China (No. 2018FY100303). ...License
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