Interactive and unimodal relationships between plant biomass, abiotic factors, and plant diversity in global grasslands

  • Marie Spohn*
  • , Sumanta Bagchi
  • , Jonathan D Bakker
  • , Elizabeth T Borer
  • , Clinton Carbutt
  • , Jane A Catford
  • , Christopher R Dickman
  • , Nico Eisenhauer
  • , Anu Eskelinen
  • , Nicole Hagenah
  • , Yann Hautier
  • , Sally E Koerner
  • , Kimberly J Komatsu
  • , Lauri Laanisto
  • , Ylva Lekberg
  • , Jason P Martina
  • , Holly Martinson
  • , Meelis Pärtel
  • , Pablo L Peri
  • , Anita C Risch
  • Nicholas G Smith, Carly Stevens, G F Ciska Veen, Risto Virtanen, Laura Yahdjian, Alyssa L Young, Hillary S Young, Eric W Seabloom
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Grasslands cover approximately a third of the Earth's land surface and account for about a third of terrestrial carbon storage. Yet, we lack strong predictive models of grassland plant biomass, the primary source of carbon in grasslands. This lack of predictive ability may arise from the assumption of linear relationships between plant biomass and the environment and an underestimation of interactions of environmental variables. Using data from 116 grasslands on six continents, we show unimodal relationships between plant biomass and ecosystem characteristics, such as mean annual precipitation and soil nitrogen. Further, we found that soil nitrogen and plant diversity interacted in their relationships with plant biomass, such that plant diversity and biomass were positively related at low levels of nitrogen and negatively at elevated levels of nitrogen. Our results show that it is critical to account for the interactive and unimodal relationships between plant biomass and several environmental variables to accurately include plant biomass in global vegetation and carbon models.

Original languageEnglish
Article number97
Number of pages1
JournalCommunications Biology
Volume8
Issue number1
DOIs
Publication statusPublished - 21 Jan 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Funding

This work was generated using data from the Nutrient Network experiment, funded at the site-scale by individual researchers. Coordination and data management have been supported by funding to E.T.B. and E.W.S. from the National Science Foundation Research Coordination Network (NSF-DEB-1042132) and Long Term Ecological Research (NSF-DEB-1234162 to Cedar Creek LTER) programs, and the Institute on the Environment (DG-0001-13). We also thank the Minnesota Supercomputer Institute for hosting project data and the Institute on the Environment for hosting Network meetings. Soil analyses were supported by funds from Oregon State University and University of Minnesota to E.T.B. and E.W.S. and by USDA-ARS grant 58-3098-7-007 to ETB. M.S. acknowledges funding from the European Research Council (ERC) (grant number 101043387). J.A.C. acknowledges funding from the ERC under the European Union's Horizon 2020 research and innovation program (grant agreement No. [101002987]). N.E. acknowledges the support of iDiv, which is funded by the German Research Foundation (DFG - FZT 118, 202548816), as well as by the DFG (Ei 862/29-1; Ei 862/31-1). A.E. acknowledges the Finnish Academy (project no 351089). Y.L. acknowledges MPG Ranch for funding establishment, maintenance and data collection of NutNet sites. L.L. acknowledges the Estonian Academy of Sciences (research professorship for Arctic studies) and Adam Mickiewicz University Polar Station (Petuniabukta). K.J.K. acknowledges Konza Prairie LTER funding from NSF 2025849, NSF 1440484, NSF 0823341, NSF 0218210. M.P. acknowledges the Estonian Research Council (PRG609) and the Centre of Excellence AgroCropFuture. N.G.S. acknowledges support from Texas Tech University and the US National Science Foundation (DEB-2045968).

FundersFunder number
Konza Prairie LTER
University of Minnesota
Centre of Excellence AgroCropFuture
Eesti Teaduste Akadeemia
Adam Mickiewicz University Polar Station
Oregon State University
Institute on the EnvironmentDG-0001-13
Deutsche ForschungsgemeinschaftEi 862/29-1, 202548816, Ei 862/31-1, FZT 118
National Science Foundation1440484, 0218210, 0823341, 2025849, NSF-DEB-1042132
Eesti TeadusagentuurPRG609
Agricultural Research Service58-3098-7-007
Horizon 2020 Framework Programme101002987
European Research Council101043387
Texas Tech UniversityDEB-2045968
Research Council of Finland351089
Long Term Ecological ResearchNSF-DEB-1234162

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 15 - Life on Land
      SDG 15 Life on Land

    Keywords

    • Biodiversity
    • Biomass
    • Ecosystem
    • Grassland
    • Nitrogen/metabolism
    • Plants/metabolism
    • Poaceae/metabolism
    • Soil/chemistry

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