Back to Search
Start Over
Demographic composition, not demographic diversity, predicts biomass and turnover across temperate and tropical forests
- 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.
- Subjects :
- forest dynamics
Global and Planetary Change
Tropical Climate
Ecology
carbon residence time
Climate Change
Biological Sciences
Ecology and Environment
Environmental Chemistry
Biomass
species richness
aboveground biomass
ForestGEO
size-dependent survival
tree demography
Environmental Sciences
Ecosystem
General Environmental Science
Demography
Subjects
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