The effects of invertebrates on wood decomposition across the world

Denis M. Njoroge, Gbadamassi G.O. Dossa*, Douglas Schaefer, Juan Zuo*, Michael D. Ulyshen, Sebastian Seibold, Amy E. Zanne, Brad Oberle, Rhett D. Harrison, Shengjie Liu, Xiaobo Li, Tone Birkemoe, Melanie K. Taylor, Philip J. Burton, David B. Lindenmayer, Jari Kouki, Yagya Adhikari, Johannes H.C. Cornelissen

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Invertebrates and microorganisms are important but climate-dependent agents of wood decomposition globally. In this meta-analysis, we investigated what drives the invertebrate effect on wood decomposition worldwide. Globally, we found wood decomposition rates were on average approximately 40% higher when invertebrates were present compared to when they were excluded. This effect was most pronounced in the tropics, owing mainly to the activities of termites. The invertebrate effect was stronger for woody debris without bark as well as for that of larger diameter, possibly reflecting bark- and diameter-mediated differences in fungal colonisation or activity rates relative to those of invertebrates. Our meta-analysis shows similar overall invertebrate effect sizes on decomposition of woody debris derived from angiosperms and gymnosperms globally. Our results suggest the existence of critical interactions between microorganism colonisation and the invertebrate contribution to wood decomposition. To improve biogeochemical models, a better quantification of invertebrate contributions to wood decomposition is needed.

Original languageEnglish
Pages (from-to)158-171
Number of pages14
JournalBiological Reviews
Volume100
Issue number1
Early online date16 Sept 2024
DOIs
Publication statusPublished - Feb 2025

Bibliographical note

Publisher Copyright:
© 2024 Cambridge Philosophical Society.

Funding

G. G. O. D. is grateful to Xishuangbanna Tropical Botanical Garden, the Environmental Education Department, for organising the first meta-analysis course taught by Shuang Zhang and Sichong Chen in 2016 at which the idea for this manuscript emerged. D. M. N. and J. Z. acknowledge the Knowledge Innovation Program of Wuhan – Basic Research (2022020801010166) and a research grant from Wuhan Botanical Garden, Chinese Academy of Sciences (Y9559701). This work was also funded by National Natural Science Foundation of China (NSFC) (W2432022, 31850410488), Yunnan Province Government for Talents Program (E1YN101B01), Zhi Hui Yunnan Program (202203AM140024), and young international staff Chinese Academy of Sciences (CAS) president international fellowship initiative (PIFI) grant (2019FYB0001) to G. G. O. D. S. S. received funding from the European Union (ERC, BIOCOMP, GA 101075426), A. E. Z. was supported by National Science Foundation grants number DEB-1655759 and DEB-2149151. All authors declare no conflicts of interest. G. G. O. D. is grateful to Xishuangbanna Tropical Botanical Garden, the Environmental Education Department, for organising the first meta‐analysis course taught by Shuang Zhang and Sichong Chen in 2016 at which the idea for this manuscript emerged. D. M. N. and J. Z. acknowledge the Knowledge Innovation Program of Wuhan – Basic Research (2022020801010166) and a research grant from Wuhan Botanical Garden, Chinese Academy of Sciences (Y9559701). This work was also funded by National Natural Science Foundation of China (NSFC) (W2432022, 31850410488), Yunnan Province Government for Talents Program (E1YN101B01), Zhi Hui Yunnan Program (202203AM140024), and young international staff Chinese Academy of Sciences (CAS) president international fellowship initiative (PIFI) grant (2019FYB0001) to G. G. O. D. S. S. received funding from the European Union (ERC, BIOCOMP, GA 101075426), A. E. Z. was supported by National Science Foundation grants number DEB‐1655759 and DEB‐2149151. All authors declare no conflicts of interest.

FundersFunder number
Xishuangbanna Tropical Botanical Garden
European Commission
Wuhan Botanical Garden
Yunnan Province Government for Talents ProgramE1YN101B01
Zhi Hui Yunnan Program2019FYB0001, 202203AM140024
National Science FoundationDEB‐2149151, DEB‐1655759
European Research CouncilGA 101075426
National Natural Science Foundation of China31850410488, W2432022
Environmental Education Department2022020801010166
Chinese Academy of SciencesY9559701

    Keywords

    • bark effect
    • carbon cycle
    • dead wood
    • invertebrate effect
    • meta-analysis
    • woody debris

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