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- W4309113791 startingPage "160215" @default.
- W4309113791 abstract "Determining biodiversity responses to environmental change, such as acidification, is critical for ecosystem projections under future global change scenarios. Here, we analyzed three plankton communities of phytoplankton, crustaceans and rotifers in 28 lakes in the Adirondack Park, USA, during 1994-2012, and examined the spatiotemporal trends in their alpha and beta diversity during recovery from acidification. For all plankton assemblages, Shannon diversity increased towards recent years and high lake pH, and there was an increasing community dissimilarity with pH changes. The spatial mean Bray-Curtis dissimilarities across all lakes decreased over time for phytoplankton and rotifers leading to an increase in spatial homogenization. Such a homogenization cooccurred however with the overall increasing diversity in this region, which contrasts with the previous classic view that homogenization is mainly driven by loss of species and results in biodiversity loss. We further observed lower temporal mean beta diversity in low-pH lakes for crustaceans and rotifers, but not for phytoplankton. Generally, spatial and temporal mean beta diversity of the three taxonomic groups were primarily driven by lake-water ion variables, and rotifers were also constrained by nutrients and climate. Collectively, our results show how and why plankton community compositions vary over space along with acidification recovery, and further highlight the importance of spatiotemporal studies combined with long-term monitoring programs in assessing biodiversity change during the recovery of disturbed ecosystems." @default.
- W4309113791 created "2022-11-22" @default.
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- W4309113791 date "2023-02-01" @default.
- W4309113791 modified "2023-10-06" @default.
- W4309113791 title "Increasing diversity and biotic homogenization of lake plankton during recovery from acidification" @default.
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- W4309113791 doi "https://doi.org/10.1016/j.scitotenv.2022.160215" @default.
- W4309113791 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36400292" @default.
- W4309113791 hasPublicationYear "2023" @default.
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