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Related Experiment Video

Updated: Feb 25, 2026

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

Using phylogeny and functional traits for assessing community assembly along environmental gradients: A deterministic

Jinshi Xu^1,2, Yu Chen², Lixia Zhang^1,2

¹Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University) Ministry of Education Xi'an China.

Ecology and Evolution

|August 4, 2017

Summary

Elevation is a key driver of community assembly, influencing plant phylogeny and traits. Deterministic processes, particularly environmental filtering, dominate at large scales, with assembly mechanisms varying by altitude.

Keywords:

community assembly environmental gradients functional traits phylogenetic signal phylogeny

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Area of Science:

Community ecology
Plant ecology
Evolutionary ecology

Background:

Community assembly processes are central to community ecology.
Phylogenetic and functional trait-based methods are crucial for understanding assembly mechanisms along environmental gradients.
Environmental changes necessitate exploring how assembly mechanisms adapt.

Purpose of the Study:

To jointly investigate community assembly processes using phylogenetic and functional trait-based methods along environmental gradients.
To determine the primary environmental factors influencing phylogenetic and trait variation.
To explore assembly mechanisms across diverse elevations.

Main Methods:

Data collected from 40 plots across a 2,300m elevation gradient in Taibai Mountain, China.
Variance partitioning used to identify key environmental drivers of phylogenetic and trait changes.
Principal Component Analysis (PCA) applied to consolidate environmental factors.
Phylogenetic signal calculated to assess trait variation in relation to phylogeny along gradients.

Main Results:

Elevation demonstrated the highest explanatory power for phylogenetic and most trait variances.
Phylogenetic and functional structures clustered at high elevations, with some traits overdispersing.
Evidence of convergent evolution due to filtering or competition observed.
Leaf dry matter content (LDMC) showed the strongest phylogenetic signal, with patterns conflicting with elevation-based trends.

Conclusions:

Elevation is the most significant factor predicting phylogenetic and trait changes in plant communities.
Environmental filtering dominates community assembly in alpine regions, while middle- and low-altitude regions exhibit varied assembly processes.
Deterministic processes are key drivers of community assembly across large-scale environmental gradients.
Phylogenetic and trait performances along gradients may operate independently.