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 language | English |
|---|---|
| Pages (from-to) | 158-171 |
| Number of pages | 14 |
| Journal | Biological Reviews |
| Volume | 100 |
| Issue number | 1 |
| Early online date | 16 Sept 2024 |
| DOIs | |
| Publication status | Published - 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.
| Funders | Funder number |
|---|---|
| Xishuangbanna Tropical Botanical Garden | |
| European Commission | |
| Wuhan Botanical Garden | |
| Yunnan Province Government for Talents Program | E1YN101B01 |
| Zhi Hui Yunnan Program | 2019FYB0001, 202203AM140024 |
| National Science Foundation | DEB‐2149151, DEB‐1655759 |
| European Research Council | GA 101075426 |
| National Natural Science Foundation of China | 31850410488, W2432022 |
| Environmental Education Department | 2022020801010166 |
| Chinese Academy of Sciences | Y9559701 |
Keywords
- bark effect
- carbon cycle
- dead wood
- invertebrate effect
- meta-analysis
- woody debris