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Related Experiment Video

Updated: Nov 8, 2025

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning

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A multi-faceted comparative perspective on elevational beta-diversity: the patterns and their causes.

Yuanbao Du¹, Liqing Fan^2,3,4, Zhenghui Xu⁵

¹Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China.

Proceedings. Biological Sciences

|April 21, 2021

Summary

Species turnover drives elevational beta-diversity patterns, with nestedness influencing trait dissimilarity. Environmental filtering and limiting similarity jointly shape diversity dynamics across altitudes, especially for taxonomic groups.

Keywords:

Qinghai-Tibet plateau beta-diversity decomposing montane system multi-dimensional dissimilarity opposite niche-based processes turnover and nestedness

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Area of Science:

Ecology
Biodiversity Research
Evolutionary Biology

Background:

Elevational beta-diversity patterns and mechanisms are well-studied, but multi-dimensional comparative analyses are limited.
Understanding how different components and dimensions of beta-diversity vary across elevational gradients is crucial for ecological theory.

Purpose of the Study:

To develop a multi-faceted comparative framework to investigate general rules and underlying causes of elevational beta-diversity.
To compare beta-diversity patterns across distinct components, dimensions (taxonomic, phylogenetic, functional), and species groups along elevational gradients.

Main Methods:

Designed a multi-faceted comparative framework to analyze elevational beta-diversity.
Examined species beta-diversity (βsim, βsne) and functional trait dissimilarity (βfuncsim, βfuncsne) across elevational gradients.
Compared taxonomic, phylogenetic, and functional beta-diversity measures.

Main Results:

Species beta-diversity was dominated by turnover (βsim > βsne), while trait dissimilarity was more influenced by nestedness (βfuncsim < βfuncsne).
Taxonomic turnover exceeded phylogenetic and functional turnover (βsim > βphylosim/βfuncsim); functional nestedness dissimilarity was higher than taxonomic and phylogenetic measures (βfuncsne > βsne/βphylosne).
Environmental filtering and limiting similarity interactively shaped elevational beta-diversity, particularly at the taxonomic level, as elevation increased.

Conclusions:

Species turnover among phylogenetically related species with similar functional traits is a key driver of multi-dimensional elevational beta-diversity.
Distinguishing neutral from niche-based processes remains challenging due to methodological limitations.
This study provides insights into commonalities in elevational beta-diversity dynamics from a multi-dimensional perspective.