Climate and topographic drivers of species and functional diversity in subtropical shrublands of Guangdong, China

• Species and functional diversity vary with latitude and longitude in subtropical shrublands. • Precipitation is the primary driver of biodiversity patterns across Guangdong Province. • Soil nutrients and topography also shape community structure and functional traits. • MaxEnt models accurately predicted species distributions based on environmental variables. • Results support trait-based conservation and land-use strategies in changing climates. Subtropical shrubland ecosystems in southern China are increasingly threatened by degradation under global climate change. However, the mechanisms by which environmental gradients shape species and functional diversity remain poorly understood. In this study, we examined spatial patterns of biodiversity across 15 shrubland communities in Guangdong Province using taxonomic and functional diversity indices, regression analysis, Pearson correlation, Redundancy analysis (RDA), and MaxEnt modeling. We found that species and functional diversity declined significantly along the longitudinal gradient, while species diversity increased and functional diversity decreased with increasing latitude. Precipitation during the wettest month explained 55.2 % of the variation in species diversity ( p < 0.05). For functional diversity, precipitation during the driest month and the minimum temperature of the coldest month accounted for 55.2 % and 10.2 % of the variance, respectively ( p < 0.05). Soil nutrients and topographic variables also contributed to spatial heterogeneity in diversity patterns. MaxEnt models predicted species distributions with high accuracy (mean AUC > 0.96). These findings highlight the dominant roles of climatic and edaphic factors in structuring shrubland biodiversity, providing a robust foundation for conservation planning and sustainable ecosystem management in subtropical regions.

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Publication Details

Journal
Ecological Indicators
Published
2025-06-03
DOI
https://doi.org/10.1016/j.ecolind.2025.113641
Citations
4
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
9.25

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article

Climate and topographic drivers of species and functional diversity in subtropical shrublands of Guangdong, China

Feiyong Liao, Muhammad Sadiq Khan, Shizhong Liu, Yuelin Li et al.
4 citations
Ecological Indicators
Ecology and Vegetation Dynamics Studies
9.25
article

Climate and topographic drivers of species and functional diversity in subtropical shrublands of Guangdong, China

Feiyong Liao, Muhammad Sadiq Khan, Shizhong Liu, Yuelin Li, Wanxuan Huang, Xuan Luo, Mengmeng Yang
article en
4 citations

Abstract

• Species and functional diversity vary with latitude and longitude in subtropical shrublands. • Precipitation is the primary driver of biodiversity patterns across Guangdong Province. • Soil nutrients and topography also shape community structure and functional traits. • MaxEnt models accurately predicted species distributions based on environmental variables. • Results support trait-based conservation and land-use strategies in changing climates. Subtropical shrubland ecosystems in southern China are increasingly threatened by degradation under global climate change. However, the mechanisms by which environmental gradients shape species and functional diversity remain poorly understood. In this study, we examined spatial patterns of biodiversity across 15 shrubland communities in Guangdong Province using taxonomic and functional diversity indices, regression analysis, Pearson correlation, Redundancy analysis (RDA), and MaxEnt modeling. We found that species and functional diversity declined significantly along the longitudinal gradient, while species diversity increased and functional diversity decreased with increasing latitude. Precipitation during the wettest month explained 55.2 % of the variation in species diversity ( p < 0.05). For functional diversity, precipitation during the driest month and the minimum temperature of the coldest month accounted for 55.2 % and 10.2 % of the variance, respectively ( p < 0.05). Soil nutrients and topographic variables also contributed to spatial heterogeneity in diversity patterns. MaxEnt models predicted species distributions with high accuracy (mean AUC > 0.96). These findings highlight the dominant roles of climatic and edaphic factors in structuring shrubland biodiversity, providing a robust foundation for conservation planning and sustainable ecosystem management in subtropical regions.

Ecological IndicatorsVol. 176
Central South University of Forestry and Technology (CN), Central South University (CN), South China Botanical Garden (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 2%
Ecology and Vegetation Dynamics Studies
9.25
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