Literature DB >> 31207511

Local and regional drivers of turnover and nestedness components of species and functional beta diversity in lake macrophyte communities in China.

Hui Fu1, Guixiang Yuan2, Erik Jeppesen3, Dabing Ge4, Wei Li5, Dongsheng Zou4, Zhenrong Huang6, Aiping Wu4, Qiaolin Liu4.   

Abstract

Beta diversity describes the variation in species composition between sites and is often influenced by both local and regional processes. Partitioning beta diversity into turnover (species replacement between sites) and nestedness (richness difference between sites) components may enhance our understanding of the mechanisms behind the local and regional drivers determining species composition across spatial scales. We sampled macrophyte communities in 24 lakes in two regions (Yangtze River basin and Yunnan-Guizhou plateau) of China covering broad climate and nutrient gradients. Based on both species and functional approaches, we calculated multiple-site beta diversity using the Sørensen dissimilarity index and partitioned it into turnover and nestedness coefficients crossed with two nested spatial scales: among depths within transects (transect scale) and among transects within lakes (lake scale). The overall species beta diversity and functional beta diversity (i.e. Sørensen coefficient) were significantly lower and thus more homogeneous at lake scale. Across spatial scales, species beta diversity was mainly explained by turnover patterns (56-61%) and functional beta diversity primarily by nestedness patterns (58-65%). Both local and regional drivers contributed to structuring species and functional beta diversity patterns, largely through changes in species turnover and functional nestedness, respectively. Overall, we observed a significant increase in species beta diversity and its turnover component while a decreasing trend in functional beta diversity and its nestedness component at high altitude. Our results further emphasized that the species beta diversity and its turnover component decreased at high total phosphorus concentration (TP) across the two spatial scales, while the functional beta diversity and its nestedness component decreased at high TP at the transect scale. We conclude that understanding of the relative role of local and regional drivers in determining macrophyte diversity patterns may help managers to select the most appropriate conservation strategies for preservation of biodiversity varying with the scale in focus.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Climate; Functional traits; Nutrient enrichment; Partitioning beta diversity; Spatial scale

Mesh:

Year:  2019        PMID: 31207511     DOI: 10.1016/j.scitotenv.2019.06.092

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Abundance-weighted plant functional trait variation differs between terrestrial and wetland habitats along wide climatic gradients.

Authors:  Yu-Kun Hu; Guo-Fang Liu; Xu Pan; Yao-Bin Song; Ming Dong; Johannes H C Cornelissen
Journal:  Sci China Life Sci       Date:  2020-09-21       Impact factor: 6.038

2.  The Amazon River plume, a barrier to animal dispersal in the Western Tropical Atlantic.

Authors:  Everton Giachini Tosetto; Arnaud Bertrand; Sigrid Neumann-Leitão; Miodeli Nogueira Júnior
Journal:  Sci Rep       Date:  2022-01-11       Impact factor: 4.379

3.  Species ethnobotanical values rather than regional species pool determine plant diversity in agroforestry systems.

Authors:  Daniel K N'Woueni; Orou G Gaoue
Journal:  Sci Rep       Date:  2021-12-14       Impact factor: 4.379

4.  Assessment of the stream invertebrate β -diversity along an elevation gradient using a bidimensional null model analysis.

Authors:  Pablo Timoner; Pierre Marle; Emmanuel Castella; Anthony Lehmann
Journal:  Ecol Evol       Date:  2022-08-04       Impact factor: 3.167

5.  Seasonal patterns of taxonomic and functional beta diversity in submerged macrophytes at a fine scale.

Authors:  Hao Wang; Hui Fu; Zihao Wen; Changbo Yuan; Xiaolin Zhang; Leyi Ni; Te Cao
Journal:  Ecol Evol       Date:  2021-06-24       Impact factor: 2.912

  5 in total

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