Needham, JF and Johnson, DJ and Anderson-Teixeira, KJ and Bourg, N and Bunyavejchewin, S and Butt, N and Cao, M and Cárdenas, D and Chang-Yang, C-H and Chen, Y-Y and Chuyong, G and Dattaraja, HS and Davies, SJ and Duque, A and Ewango, CEN and Fernando, ES and Fisher, R and Fletcher, CD and Foster, R and Hao, Z and Hart, T and Hsieh, C-F and Hubbell, SP and Itoh, A and Kenfack, D and Koven, CD and Larson, AJ and Lutz, JA and McShea, W and Makana, J-R and Malhi, Y and Marthews, T and Bt Mohamad, M and Morecroft, MD and Norden, N and Parker, G and Shringi, A and Sukumar, R and Suresh, HS and Sun, I-F and Tan, S and Thomas, DW and Thompson, J and Uriarte, M and Valencia, R and Yao, TL and Yap, SL and Yuan, Z and Yuehua, H and Zimmerman, JK and Zuleta, D and McMahon, SM (2022) Demographic composition, not demographic diversity, predicts biomass and turnover across temperate and tropical forests. In: Global Change Biology .
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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. © 2022 John Wiley & Sons Ltd
| Item Type: | Journal Article |
|---|---|
| Publication: | Global Change Biology |
| Publisher: | John Wiley and Sons Inc |
| Additional Information: | The copyright for this article belongs to Authors |
| Department/Centre: | Division of Biological Sciences > Centre for Ecological Sciences |
| Date Deposited: | 10 Mar 2022 07:31 |
| Last Modified: | 10 Mar 2022 07:31 |
| URI: | http://eprints.iisc.ac.in/id/eprint/71517 |
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