Demographic composition, not demographic diversity, predicts biomass and turnover across temperate and tropical forests

Jessica F. Needham, Daniel J. Johnson, Kristina J. Anderson-Teixeira, Norman Bourg, Sarayudh Bunyavejchewin, Nathalie Butt, Min Cao, Dairon Cárdenas, Chia Hao Chang-Yang, Yu Yun Chen, George Chuyong, Handanakere S. Dattaraja, Stuart J. Davies, Alvaro Duque, Corneille E.N. Ewango, Edwino S. Fernando, Rosie Fisher, Christine D. Fletcher, Robin Foster, Zhanqing HaoTerese Hart, Chang Fu Hsieh, Stephen P. Hubbell, Akira Itoh, David Kenfack, Charles D. Koven, Andrew J. Larson, James A. Lutz, William McShea, Jean Remy Makana, Yadvinder Malhi, Toby Marthews, Mohizah Bt. Mohamad, Michael D. Morecroft, Natalia Norden, Geoffrey Parker, Ankur Shringi, Raman Sukumar, Hebbalalu S. Suresh, I. Fang Sun, Sylvester Tan, Duncan W. Thomas, Jill Thompson, Maria Uriarte, Renato Valencia, Tze Leong Yao, Sandra L. Yap, Zuoqiang Yuan, Hu Yuehua, Jess K. Zimmerman, Daniel Zuleta, Sean M. McMahon

    Research output: Contribution to journalArticlepeer-review

    18 Scopus citations

    Abstract

    The growth and survival of individual trees determine the physical structure of a forest with important consequences for forest function. However, given the diversity of tree species and forest biomes, quantifying the multitude of demographic strategies within and across forests and the way that they translate into forest structure and function remains a significant challenge. Here, we quantify the demographic rates of 1961 tree species from temperate and tropical forests and evaluate how demographic diversity (DD) and demographic composition (DC) differ across forests, and how these differences in demography relate to species richness, aboveground biomass (AGB), and carbon residence time. We find wide variation in DD and DC across forest plots, patterns that are not explained by species richness or climate variables alone. There is no evidence that DD has an effect on either AGB or carbon residence time. Rather, the DC of forests, specifically the relative abundance of large statured species, predicted both biomass and carbon residence time. Our results demonstrate the distinct DCs of globally distributed forests, reflecting biogeography, recent history, and current plot conditions. Linking the DC of forests to resilience or vulnerability to climate change, will improve the precision and accuracy of predictions of future forest composition, structure, and function.

    Original languageEnglish
    Pages (from-to)2895-2909
    Number of pages15
    JournalGlobal Change Biology
    Volume28
    Issue number9
    DOIs
    StatePublished - May 2022

    Funding

    SMM was partially funded by the USA National Science Foundation (NSF 640261 to SMM). This project began and was developed at ForestGEO workshops in 2016, 2017, and 2018 (NSF DEB‐1046113 to S.J. Davies). For individual plot acknowledgements see SI. We acknowledge the contributions of Dr. Perry Ong and Dr. Abdul Rahman to the Palanan and Pasoh projects respectively. This research was supported as part of the Next Generation Ecosystem Experiments‐Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. LBNL is managed and operated by the Regents of the University of California under prime contract num‐ ber DE‐AC02‐05CH11231. SMM was partially funded by the USA National Science Foundation (NSF 640261 to SMM). This project began and was developed at ForestGEO workshops in 2016, 2017, and 2018 (NSF DEB-1046113 to S.J. Davies). For individual plot acknowledgements see SI. We acknowledge the contributions of Dr. Perry Ong and Dr. Abdul Rahman to the Palanan and Pasoh projects respectively. This research was supported as part of the Next Generation Ecosystem Experiments-Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. LBNL is managed and operated by the Regents of the University of California under prime contract num- ber DE-AC02-05CH11231.

    FundersFunder number
    DEB-1046113, NSF 640261
    Biological and Environmental ResearchDE-AC02-05CH11231

      Keywords

      • ForestGEO
      • aboveground biomass
      • carbon residence time
      • forest dynamics
      • size-dependent survival
      • species richness
      • tree demography

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