Siwei Yu , Zitong Sun , Rui Bian , Yajun Wang , Hongwei Yu , Gaoqi Duan , Xiaofeng Cao , Weixiao Qi , Jianfeng Peng , Huijuan Liu , Jiuhui Qu
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引用次数: 0
Abstract
The ecological processes that influence the temporal components of β diversity and the interplay between taxonomic and functional β diversity are poorly understood. Therefore, the mechanisms that drive these processes and their ecological significance require further investigation. In this study, we utilized sedimentary DNA (sedaDNA) metabarcoding to analyze an approximately 140-year-long record of the benthic macroinvertebrate communities found in Lake Chenghai, southwestern China. Our findings revealed a decrease in taxonomic and functional dissimilarity within the β diversities of these communities from 1886 to 2017, with a pronounced homogenization trend observed between 1987 and 2017. This homogenization was primarily driven by taxonomic and functional turnover, which was caused by increased nutrient levels, especially increased total nitrogen content. In addition, autogenic organic matter inputs and increased evaporation also play a significant role in this phase. Predictive models indicate that to maintain optimal water quality and ecological health, total nitrogen and total phosphorus should be controlled to within approximate ranges of 0.565 mg/L ± 0.441 mg/L and 0.026 ± 0.001 mg/L, respectively. Our study highlights the role of temporal species turnover in shaping community structures and provides valuable insights for managing lake ecosystems and preserving biodiversity within benthic macroinvertebrate communities.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.