Site-Specific Nutrient Data Reveal the Importance of Soils in Driving the Mycorrhizal Make-Up of Woody Vegetation Worldwide

  • Xiaobin Hua*
  • , Christopher H. Lusk
  • , Ian A. Dickie
  • , Stephen Adu-Bredu
  • , Kathryn J. Allen
  • , Viviana Araus
  • , Laurent Augusto
  • , Pavel Barsukov
  • , David Bauman
  • , Félix Brédoire
  • , David F.R.P. Burslem
  • , James W. Dalling
  • , Leen Depauw
  • , Kyle G. Dexter
  • , Thomas Drouet
  • , John L. Godlee
  • , Roberto Godoy
  • , Rodrigo A. Gutiérrez
  • , Jonathan Ilunga Muledi
  • , Arnaud Jacobs
  • Robert Kooyman, Claudio Latorre, Jesús López Angulo, Sébastien Macé, Sybryn L. Maes, Francisco Maiato Pedro Gonçalves, Ben Hur Marimon Junior, Manuel Nicolas, Reuben Nilus, Michael O'Brien, Imma Oliveras Menor, Frida I. Piper, Jennifer Read, Glen Reynolds, Alfredo Saldaña, Beatriz Schwantes Marimon, Kris Verheyen, Mark Westoby, Benjamin Wigley, Ian J. Wright
*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    Aim: Arbuscular mycorrhizas (AM) and ectomycorrhizas (ECM) have different impacts on nutrient cycling, carbon storage, community dynamics and enhancement of photosynthesis by rising CO2. Recent global analyses have concluded that patterns of AM/ECM dominance in forests worldwide are shaped by climate, with soil nutrients contributing negligible additional explanatory power. However, their reliance on nutrient data from GIS surfaces masks important local influences of parent material, topography and soil age on soil nutrient status. We asked if use of site-specific nutrient data reveals a more important role for nutrients. 

    Time Period: Present day. 

    Location: Global dataset comprising 703 sites, encompassing forests, savanna/woodlands, shrublands and deserts on all continents except Antarctica. 

    Taxa Studied: Arborescent plants, including angiosperms, gymnosperms and tree ferns. 

    Methods: Generalised Additive Models for Location, Scale and Shape (GAMLSS) to determine the effects of climate variables, soil nitrogen and soil phosphorus on the proportional representation of ECM and of non-mycorrhizal species (NM) in woody vegetation. 

    Results: GAMLSS showed a strong negative relationship of ECM representation with mean annual temperature (MAT), and a strong negative relationship with soil total nitrogen. NM representation was highest on dry sites and phosphorus-poor sites. Reanalysis showed that GIS-derived soil nutrient data had less explanatory power than site-specific nutrient data, and resulted in poorer model fits. 

    Conclusions: Our results support the long-held belief that soil nutrients as well as climate influence the relative fitness of different mycorrhizal syndromes worldwide, and demonstrate the value of using site-specific nutrient data. Soil nutrients should be considered when predicting the impact of climate change on the mycorrhizal composition of vegetation and resulting shifts in ecosystem processes.

    Original languageEnglish
    Article numbere13936
    Number of pages13
    JournalGlobal Ecology and Biogeography
    Volume34
    Issue number1
    Early online date13 Dec 2024
    DOIs
    Publication statusPublished - Jan 2025

    Bibliographical note

    We thank The Royal Society of New Zealand for funding through Marsden grant 20-UOW-041 to CHL and IAD, and the referees for their constructive comments. Fifty-seven Chinese sites were provided by National Ecosystem Science Data Centre, National Science & Technology Infrastructure of China (http://www.nesdc.org.cn). Another 45 sites from five European countries were extracted from the ICP Forests database (level 1). The evaluation was based on data that was collected by partners of the official UNECE ICP Forests Network (http://icp-forests.net/contributors).

    Data Availability Statement

    Our data set is available at figshare: https://doi.org/10.6084/m9.figshare.27184413.v1. Our R code is also available at figshare: https://doi.org/10.6084/m9.figshare.27184338.v1.

    Funding

    Funding: This work was supported by The Royal Society of New Zealand, Marsden 20-UOW-041. Part of the data collection was co-financed by the European Commission (Data accessed on 15/06/2022). Data collection in Angola and Democratic Republic of Congo was funded by NERC grants NE/T01279X/1 and NE/P008755/1, and by National Geographic Society Grant EC-51464R-18.

    FundersFunder number
    Natural Environment Research CouncilNE/T01279X/1, NE/P008755/1
    European Commission15/06/2022
    National Geographic SocietyEC‐51464R‐18
    Royal Society Te Apārangi20‐UOW‐041

      Keywords

      • aridity
      • ectomycorrhiza
      • non-mycorrhizal plants
      • soil nitrogen
      • soil phosphorus
      • temperature

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