Exploring the Drivers Influencing Multidimensional Alpha and Beta Diversity of Macroinvertebrates in Mountain Streams

• Published in: Water (Basel) Vol. 16; no. 20; p. 2915
• Main Authors: Li, Shudan, Wang, Xingzhong, Tan, Lu, Cai, Qinghua
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2024
• Subjects: alpha diversity; beta diversity; Biodiversity; Biological diversity; Biological diversity conservation; Chemical oxygen demand; community assembly; Comparative analysis; Ecology; Ecosystems; Eigenvalues; Eigenvectors; Environmental protection; functional diversity; Geospatial data; Habitats; Hypotheses; Land use; macroinvertebrate; Mountain ecology; Nitrogen; Phylogenetics; Phylogeny; Taxonomy; turnover and nestedness; China; Hubei China
• ISSN: 2073-4441; 2073-4441
• DOI: 10.3390/w16202915

Understanding the driving mechanisms of diversity across multiple dimensions is a fundamental task in biodiversity conservation. Here, we examined the alpha and beta diversity of macroinvertebrates in the taxonomic, functional, and phylogenetic dimensions in mountain streams of northwestern Hubei Province, China. We also assessed how much local environmental, land use, climatic, and spatial variables affected these diversities. We found that (1) there were generally weak or no correlations of alpha and beta diversity between taxonomic, functional, and phylogenetic dimensions; (2) compared to both functional and phylogenetic beta diversity, which was mainly determined by nestedness, taxonomic beta diversity was mostly molded by turnover and was much higher; and (3) local environmental variables predominantly influenced taxonomic and functional dimensions of alpha and beta diversity, while spatial factors primarily drove phylogenetic dimension. These results suggest that regulating local habitats is crucial for lotic biodiversity conservation efforts, though spatial processes cannot be overlooked. Furthermore, our findings verify the supplemental role of functional and phylogenetic data in enriching insights provided by taxonomic data alone. This underscores the importance of a multidimensional approach for a more nuanced understanding of community assembly mechanisms, which is crucial for efficient ecosystem management and biodiversity conservation.