| Literature DB >> 33941904 |
Thorsten Wiegand1,2, Xugao Wang3, Kristina J Anderson-Teixeira4,5, Norman A Bourg4, Min Cao6, Xiuqin Ci7,8, Stuart J Davies5, Zhanqing Hao9,10, Robert W Howe11, W John Kress12, Juyu Lian13, Jie Li7,8, Luxiang Lin6, Yiching Lin14, Keping Ma15, William McShea4, Xiangcheng Mi15, Sheng-Hsin Su16, I-Fang Sun17, Amy Wolf11, Wanhui Ye13, Andreas Huth18,19,20.
Abstract
Ecology cannot yet fully explain why so many tree species coexist in natural communities such as tropical forests. A major difficulty is linking individual-level processes to community dynamics. We propose a combination of tree spatial data, spatial statistics and dynamical theory to reveal the relationship between spatial patterns and population-level interaction coefficients and their consequences for multispecies dynamics and coexistence. Here we show that the emerging population-level interaction coefficients have, for a broad range of circumstances, a simpler structure than their individual-level counterparts, which allows for an analytical treatment of equilibrium and stability conditions. Mechanisms such as animal seed dispersal, which result in clustering of recruits that is decoupled from parent locations, lead to a rare-species advantage and coexistence of otherwise neutral competitors. Linking spatial statistics with theories of community dynamics offers new avenues for explaining species coexistence and calls for rethinking community ecology through a spatial lens.Entities:
Year: 2021 PMID: 33941904 DOI: 10.1038/s41559-021-01440-0
Source DB: PubMed Journal: Nat Ecol Evol ISSN: 2397-334X Impact factor: 15.460