Global monitoring of soil animal communities using a common methodology

Anton M Potapov (1) , Xin Sun , Andrew D Barnes , Maria J I Briones , George G Brown , Erin K Cameron , Chih-Han Chang , Jérôme Cortet , Nico Eisenhauer (2) , André L C Franco , Saori Fujii , Stefan Geisen , Konstantin B Gongalsky , Carlos Guerra , Jari Haimi , I Tanya Handa , Charlene Janion-Scheepers , Kamil Karaban , Zoë Lindo , Jérôme Mathieu (3) , Laura Moreno , Maka Murvanidze , Uffe N Nielsen , Stefan Scheu , Olaf Schmidt , Clement Schneider , Julia Seeber , Maria A Tsiafouli , Jiri Tuma , Alexei V Tiunov , Andrey S Zaitsev , Frank Ashwood , Mac Callaham , Diana H Wall

1 Georg-August-University = Georg-August-Universität Göttingen
2 Leipzig University / Universität Leipzig
3 SU - Sorbonne Université

et al. 2016), or facilitate litter decomposition by up to 50 %, depending on climatic conditions (García-Palacios et al. 2013). These effects largely emerge from biological interactions within and among functional groups of soil animals, microbes, and plants (Bonkowski et al. 2009, Coulibaly et al. 2019, Potapov 2021). Local variations in animal communities may sum up to considerable effects on ecosystem processes at the biosphere level (Handa et al. 2014, Seibold et al. 2021). There have been several calls to include explicitly soil animal effects in global biogeochemical (Filser et al. 2016, Soong & Nielsen 2016, Deckmyn et al. 2020) and soil erosion models (Orgiazzi & Panagos 2018), but the required large-scale

Mots clés: Biogeography; ecosystem functioning; macroecology; soil fauna; soil biodiversity

Domaines: Sciences du Vivant [q-bio]

Anton M Potapov, Xin Sun, Andrew D Barnes, Maria J I Briones, George G Brown, et al.. Global monitoring of soil animal communities using a common methodology. soil organisms, 2022, ⟨10.25674/so94iss1id178⟩. ⟨hal-03798850⟩