Energy drives multi-faceted diversity patterns of benthic macroinvertebrates in China with important conservation implications

Biodiversity patterns at large scales and their driving mechanisms are central topics in macroecology and biogeography. China is a global biodiversity hotspot and is one of the countries with the richest macroinvertebrate assemblages on Earth. However, national-scale studies on macroinvertebrates diversity and their driving mechanisms are still lacking. Here, we aimed to analyze the spatial patterns of species, functional and phylogenetic α and β diversity by assembling a comprehensive dataset on the distribution of Chinese macroinvertebrates. We also evaluated the explanatory power of three hypotheses, i.e., ‘environmental heterogeneity’, ‘energy’, and ‘dispersal’, in explaining macroinvertebrates diversity patterns. The spatial patterns in China revealed lower species, functional and phylogenetic α diversity of macroinvertebrates in the northwest regions and higher diversity in the southeast, with major biodiversity hotspots concentrated in the Heilongjiang River, middle and lower reaches of Yangtze River, and Pearl River basins. Species, functional and phylogenetic β diversity were higher in the Northwest Inland River, Yellow River, and upper reaches of Yangtze River basins compared to other basins. All diversity facets were best explained by the energy factors with strong unique effects (explaining 84% of the total variation), and the influence of environmental heterogeneity and dispersal-related factor was weak. The Yalong River, upper reach of Min River and headwaters of Yellow River basins were identified as priority protected areas for macroinvertebrates diversity, while threats to biodiversity in the middle and lower reaches of Huai River, Tai Lake, and Qiantang River basins require greater attention. This study provides important information for the conservation and management of biodiversity and freshwater ecosystems both in China and globally. • There are significant spatial patterns in multi-faceted diversity among the nine major river basins of China. • Energy factors play the most important role in explaining the patterns diversity of macroinvertebrates. • Three sub-watersheds are identified as priority protected areas, and three sub-watersheds are identified as key areas of concern for macroinvertebrates diversity, respectively.

Authors

Institutions

Publication Details

Journal
Global Ecology and Conservation
Published
2025-11-05
DOI
https://doi.org/10.1016/j.gecco.2025.e03951
Primary Topic
Freshwater macroinvertebrate diversity and ecology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy drives multi-faceted diversity patterns of benthic macroinvertebrates in China with important conservation implications

Zhengfei Li, Xiaoyan Liu, Xiongjun Liu, Ruiwen Wu et al.
Global Ecology and Conservation
Freshwater macroinvertebrate diversity and ecology
article

Energy drives multi-faceted diversity patterns of benthic macroinvertebrates in China with important conservation implications

Zhengfei Li, Xiaoyan Liu, Xiongjun Liu, Ruiwen Wu, Zhicai Xie
article en

Abstract

Biodiversity patterns at large scales and their driving mechanisms are central topics in macroecology and biogeography. China is a global biodiversity hotspot and is one of the countries with the richest macroinvertebrate assemblages on Earth. However, national-scale studies on macroinvertebrates diversity and their driving mechanisms are still lacking. Here, we aimed to analyze the spatial patterns of species, functional and phylogenetic α and β diversity by assembling a comprehensive dataset on the distribution of Chinese macroinvertebrates. We also evaluated the explanatory power of three hypotheses, i.e., ‘environmental heterogeneity’, ‘energy’, and ‘dispersal’, in explaining macroinvertebrates diversity patterns. The spatial patterns in China revealed lower species, functional and phylogenetic α diversity of macroinvertebrates in the northwest regions and higher diversity in the southeast, with major biodiversity hotspots concentrated in the Heilongjiang River, middle and lower reaches of Yangtze River, and Pearl River basins. Species, functional and phylogenetic β diversity were higher in the Northwest Inland River, Yellow River, and upper reaches of Yangtze River basins compared to other basins. All diversity facets were best explained by the energy factors with strong unique effects (explaining 84% of the total variation), and the influence of environmental heterogeneity and dispersal-related factor was weak. The Yalong River, upper reach of Min River and headwaters of Yellow River basins were identified as priority protected areas for macroinvertebrates diversity, while threats to biodiversity in the middle and lower reaches of Huai River, Tai Lake, and Qiantang River basins require greater attention. This study provides important information for the conservation and management of biodiversity and freshwater ecosystems both in China and globally. • There are significant spatial patterns in multi-faceted diversity among the nine major river basins of China. • Energy factors play the most important role in explaining the patterns diversity of macroinvertebrates. • Three sub-watersheds are identified as priority protected areas, and three sub-watersheds are identified as key areas of concern for macroinvertebrates diversity, respectively.

Global Ecology and ConservationVol. 64
Jiaying University (CN), Chinese Academy of Sciences (CN), Institute of Hydrobiology (CN), Shanxi Normal University (CN)
Openalex Percentile: Top 68%
Freshwater macroinvertebrate diversity and ecology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.