Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-4339-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4339-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Sep 2022
Data description paper |
| 22 Sep 2022
| 22 Sep 2022
The biogeography of relative abundance of soil fungi versus bacteria in surface topsoil
Kailiang Yu
CORRESPONDING AUTHOR
Institute of Integrative Biology, ETH Zürich, Zürich,
Switzerland
Johan van den Hoogen
Institute of Integrative Biology, ETH Zürich, Zürich,
Switzerland
Zhiqiang Wang
Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Institute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, China
Colin Averill
Institute of Integrative Biology, ETH Zürich, Zürich,
Switzerland
Devin Routh
Institute of Integrative Biology, ETH Zürich, Zürich,
Switzerland
Gabriel Reuben Smith
Department of Biology, Stanford University, Stanford, California, USA
Institute of Integrative Biology, ETH Zürich, Zürich,
Switzerland
Rebecca E. Drenovsky
Biology Department, John Carroll University, University Heights, Ohio, USA
Kate M. Scow
Department of Land, Air and Water Resources, University of California,
Davis, California, USA
Fei Mo
College of Agronomy, Northwest A&F University, Shaanxi, China
Mark P. Waldrop
U.S. Geological Survey, Geology, Minerals, Energy, and Geophysics
Science Center, Menlo Park, California, USA
Yuanhe Yang
State Key Laboratory of Vegetation and Environmental Change, Institute
of Botany, Chinese Academy of Sciences, Beijing, China
Weize Tang
South China Botanical Garden, University of Chinese Academy of Sciences, Beijing, China
Key Laboratory of Vegetation Restoration and Management of Degraded
Ecosystems, South China Botanical Garden, Chinese Academy of Sciences,
Guangzhou, China
Franciska T. De Vries
Institute of Biodiversity and Ecosystem Dynamics, University of
Amsterdam, Amsterdam, the Netherlands
Richard D. Bardgett
Department of Earth and Environmental Sciences, University of
Manchester, Oxford Road, Manchester, UK
Peter Manning
Department of Biological Sciences, University of Bergen, Bergen, Norway
Felipe Bastida
CEBAS-CSIC, Department of Soil and Water Conservation, Campus
Universitario de Espinardo, Murcia, Spain
Sara G. Baer
Kansas Biological Survey and Department of Ecology & Evolutionary
Biology, University of Kansas, Lawrence, Kansas, USA
Elizabeth M. Bach
The Nature Conservancy, Nachusa Grasslands, Franklin Grove, IL, USA
Carlos García
CEBAS-CSIC, Department of Soil and Water Conservation, Campus
Universitario de Espinardo, Murcia, Spain
Qingkui Wang
Huitong Experimental Station of Forest Ecology, CAS Key Laboratory of
Forest Ecology and Management, Institute of Applied Ecology, Shenyang,
China
Linna Ma
State Key Laboratory of Vegetation and Environmental Change, Institute
of Botany, Chinese Academy of Sciences, Beijing, China
Baodong Chen
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
Xianjing He
Key Laboratory of the Three Gorges Reservoir Region's
Eco-Environment, Ministry of Education, Chongqing University, Chongqing,
China
Sven Teurlincx
Department of Aquatic Ecology, Netherlands Institute of Ecology
(NIOO-KNAW), Wageningen, the Netherlands
Amber Heijboer
Biometris, Wageningen University & Research, Wageningen,
the Netherlands
Ecology and Biodiversity Group, Department of Biology, Institute of
Environmental Biology, Utrecht University, Padualaan, the Netherlands
James A. Bradley
School of Geography, Queen Mary University of London, London, E1 4NS,
UK
Thomas W. Crowther
CORRESPONDING AUTHOR
Institute of Integrative Biology, ETH Zürich, Zürich,
Switzerland
Data sets
A global map of relative abundance of soil fungi and bacteria in top surface soil Kailiang Yu https://doi.org/10.6084/m9.figshare.19556419.v1
Model code and software
Biogeography-of-soil-microbes Kailiang Yu https://github.com/KailiangYu/Biogeography-of-soil-microbes.git
Short summary
We used a global-scale dataset for the surface topsoil (>3000 distinct observations of abundance of soil fungi versus bacteria) to generate the first quantitative map of soil fungal proportion across terrestrial ecosystems. We reveal striking latitudinal trends. Fungi dominated in regions with low mean annual temperature (MAT) and net primary productivity (NPP) and bacteria dominated in regions with high MAT and NPP.
We used a global-scale dataset for the surface topsoil (>3000 distinct observations of abundance...
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