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Exploring how functional traits modulate species distributions along topographic gradients in Baxian Mountain, North China.
Tang, Lili; Morris, William K; Zhang, Mei; Shi, Fuchen; Vesk, Peter A.
Afiliação
  • Tang L; College of Life Sciences, Nankai University, Tianjin, China.
  • Morris WK; School of BioSciences, The University of Melbourne, Melbourne, VIC, Australia.
  • Zhang M; School of BioSciences, The University of Melbourne, Melbourne, VIC, Australia.
  • Shi F; College of Life Sciences, Nankai University, Tianjin, China.
  • Vesk PA; College of Life Sciences, Nankai University, Tianjin, China. fcshi@nankai.edu.cn.
Sci Rep ; 12(1): 994, 2022 01 19.
Article em En | MEDLINE | ID: mdl-35046442
ABSTRACT
The associations between functional traits and species distributions across environments have attracted increasing interest from ecologists and can enhance knowledge about how plants respond to the environments. Here, we applied a hierarchical generalized linear model to quantifying the role of functional traits in plant occurrence across topographic gradients. Functional trait data, including specific leaf area, maximum height, seed mass and stem wood density, together with elevation, aspect and slope, were used in the model. In our results, species responses to elevation and aspect were modulated by maximum height and seed mass. Generally, shorter tree species showed positive responses to incremental elevation, while this trend became negative as the maximum height exceeded 22 m. Most trees with heavy seeds (> 1 mg) preferred more southerly aspects where the soil was drier, and those light-seed trees were opposite. In this study, the roles of maximum height and seed mass in determining species distribution along elevation and aspect gradients were highlighted where plants are confronted with low-temperature and soil moisture deficit conditions. This work contributes to the understanding of how traits may be associated with species occurrence along mesoscale environmental gradients.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article