Functional traits mediate the elevational patterns of functional diversity and community structure of mosses in a tropical mountain area

Functional diversity refers to the value, range, and distribution of functional traits within a community, such as the morphological, physiological and behavioral characteristics of species that determine the role a species plays in an ecosystem. Assessing the drivers of elevational pattern of functional diversity is crucial to predict the effects of global change on functional diversity and community structure. In our research, we collected mosses species data from 65 sampling sites and measured 11 functional traits that are related to their ecological functions. We applied double canonical correspondence analysis (DCCA) to analyze species responses to environmental conditions based on their traits. We applied generalized additive models with a Gaussian function of variance to determine the elevational patterns of functional trait composition, diversity and community structure. We applied and compared boosted regression trees (BRT) without considering functional traits and piecewise structural equation modelling (SEM) mediated with functional traits to relate environmental variables with functional diversity and functional community structure, respectively. We found the first DCCA axis accounted for the largest dissimilarities between the two groups of species and correlated mainly with the water-utilization traits. Although both functional diversity and community structure displayed negatively skewed pattern along the elevational gradient, habitat complexity and climatic variables contributed differently to their respective patterns. The SEM approach consistently outperformed the BRT approach in explaining the variations in both functional diversity and community structure. Our findings highlight the important role of functional traits in mediating the relationship between the environment and functional diversity metrics. Both biotic and abiotic processes play a significant role in shaping the community assemblages, with environmental variables having distinct impacts. Traits related to structure maintenance, water absorption, cell hydration, and nutrient acquisition were found to be key drivers of functional diversity, while water-utilization traits were mainly responsible for regulating functional community structure. • We explored the elevational patterns of functional diversity and community structure. • The traits-mediated approach performed always better at explaining these patterns. • Biotic and abiotic processes may play equal role in shaping the elevational patterns. • Functional community structure is regulated by the water-utilization traits.

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Publication Details

Journal
Global Ecology and Conservation
Published
2024-10-18
DOI
https://doi.org/10.1016/j.gecco.2024.e03259
Citations
2
Primary Topic
Lichen and fungal ecology
Type
article
Field-Weighted Citation Impact
2.06

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article

Functional traits mediate the elevational patterns of functional diversity and community structure of mosses in a tropical mountain area

Shikai Song, Chengxiu Zhan, Liqin Fu, Peng Xu et al.
2 citations
Global Ecology and Conservation
Lichen and fungal ecology
2.06
article

Functional traits mediate the elevational patterns of functional diversity and community structure of mosses in a tropical mountain area

Shikai Song, Chengxiu Zhan, Liqin Fu, Peng Xu, De Gao, Lina Zhang, Haozhe Wang, Jiancheng Zhao
article en
2 citations

Abstract

Functional diversity refers to the value, range, and distribution of functional traits within a community, such as the morphological, physiological and behavioral characteristics of species that determine the role a species plays in an ecosystem. Assessing the drivers of elevational pattern of functional diversity is crucial to predict the effects of global change on functional diversity and community structure. In our research, we collected mosses species data from 65 sampling sites and measured 11 functional traits that are related to their ecological functions. We applied double canonical correspondence analysis (DCCA) to analyze species responses to environmental conditions based on their traits. We applied generalized additive models with a Gaussian function of variance to determine the elevational patterns of functional trait composition, diversity and community structure. We applied and compared boosted regression trees (BRT) without considering functional traits and piecewise structural equation modelling (SEM) mediated with functional traits to relate environmental variables with functional diversity and functional community structure, respectively. We found the first DCCA axis accounted for the largest dissimilarities between the two groups of species and correlated mainly with the water-utilization traits. Although both functional diversity and community structure displayed negatively skewed pattern along the elevational gradient, habitat complexity and climatic variables contributed differently to their respective patterns. The SEM approach consistently outperformed the BRT approach in explaining the variations in both functional diversity and community structure. Our findings highlight the important role of functional traits in mediating the relationship between the environment and functional diversity metrics. Both biotic and abiotic processes play a significant role in shaping the community assemblages, with environmental variables having distinct impacts. Traits related to structure maintenance, water absorption, cell hydration, and nutrient acquisition were found to be key drivers of functional diversity, while water-utilization traits were mainly responsible for regulating functional community structure. • We explored the elevational patterns of functional diversity and community structure. • The traits-mediated approach performed always better at explaining these patterns. • Biotic and abiotic processes may play equal role in shaping the elevational patterns. • Functional community structure is regulated by the water-utilization traits.

Global Ecology and ConservationVol. 55
Eastern Michigan University (US), Nanjing Normal University (CN), Hainan University (CN), Hebei Normal University (CN)
National Natural Science Foundation of China, Hebei Normal University
Life in Land
Openalex Percentile: Top 11%
Lichen and fungal ecology
2.06
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