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

Authors :
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 Hao
Terese 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
Source :
Global change biology, vol 28, iss 9
Publication Year :
2022
Publisher :
Wiley, 2022.

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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Global change biology, vol 28, iss 9
Accession number :
edsair.doi.dedup.....494a24728925034a10bd8155e0df7f28
Full Text :
https://doi.org/10.1111/gcb.16100