Re-oligotrophication and warming stabilize phytoplankton networks.

Connectance Interaction pattern Modularity Nested interconnections Temporal dynamic network Zooplankton

Journal

Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072

Informations de publication

Date de publication:
01 Apr 2024
Historique:
received: 24 10 2023
revised: 06 02 2024
accepted: 14 02 2024
medline: 18 3 2024
pubmed: 18 2 2024
entrez: 17 2 2024
Statut: ppublish

Résumé

Phytoplankton taxa are strongly interconnected as a network, which could show temporal dynamics and non-linear responses to changes in drivers at both seasonal and long-term scale. Using a high quality dataset of 20 Danish lakes (1989-2008), we applied extended Local Similarity Analysis to construct temporal network of phytoplankton communities for each lake, obtained sub-network for each sampling month, and then measured indices of network complexity and stability for each sub-network. We assessed how lake re-oligotrophication, climate warming and grazers influenced the temporal dynamics on network complexity and stability of phytoplankton community covering three aspects: seasonal trends, long-term trends and detrended variability. We found strong seasonality for the complexity and stability of phytoplankton network, an increasing trend for the average degree, modularity, nestedness, persistence and robustness, and a decreasing trend for connectance, negative:positive interactions and vulnerability. Our study revealed a cascading effect of lake re-oligotrophication, climate warming and zooplankton grazers on phytoplankton network stability through changes in network complexity characterizing diversity, interactions and topography. Network stability of phytoplankton increased with average degree, modularity, nestedness and decreased with connectance and negative:positive interactions. Oligotrophication and warming stabilized the phytoplankton network (enhanced robustness, persistence and decreased vulnerability) by enhancing its average degree, modularity, nestedness and by reducing its connectance, while zooplankton richness promoted stability of phytoplankton network through increases in average degree and decreases in negative interactions. Our results further indicate that the stabilization effects might lead to more closed, compartmentalized and nested interconnections especially in the deeper lakes, in the warmer seasons and during bloom periods. From a temporal dynamic network view, our findings highlight stabilization of the phytoplankton community as an adaptive response to lake re-oligotrophication, climate warming and grazers.

Identifiants

pubmed: 38367379
pii: S0043-1354(24)00227-6
doi: 10.1016/j.watres.2024.121325
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

121325

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Hui Fu (H)

Department of Ecology, College of Environment & Ecology, Hunan Provincial Key Laboratory of Rural Ecosystem Health in Dongting Lake Area, Hunan Agricultural University, Changsha 410128, PR China. Electronic address: huifu367@163.com.

Guojun Cai (G)

Department of Ecology, College of Environment & Ecology, Hunan Provincial Key Laboratory of Rural Ecosystem Health in Dongting Lake Area, Hunan Agricultural University, Changsha 410128, PR China.

Korhan Özkan (K)

Institute of Marine Sciences, Middle East Technical University, Erdemli, Mersin 33731, Turkey.

Liselotte Sander Johansson (LS)

Department of Ecoscience and Centre for Water Technology /WATEC), Aarhus University, Vejlsøvej 25, Silkeborg 8600, Denmark.

Martin Søndergaard (M)

Department of Ecoscience and Centre for Water Technology /WATEC), Aarhus University, Vejlsøvej 25, Silkeborg 8600, Denmark; Sino-Danish Centre for Education and Research (SDC), University of Chinese Academy of Sciences, Beijing, China.

Torben L Lauridsen (TL)

Department of Ecoscience and Centre for Water Technology /WATEC), Aarhus University, Vejlsøvej 25, Silkeborg 8600, Denmark; Sino-Danish Centre for Education and Research (SDC), University of Chinese Academy of Sciences, Beijing, China.

Guixiang Yuan (G)

Department of Ecology, College of Environment & Ecology, Hunan Provincial Key Laboratory of Rural Ecosystem Health in Dongting Lake Area, Hunan Agricultural University, Changsha 410128, PR China. Electronic address: yuangx987@163.com.

Erik Jeppesen (E)

Institute of Marine Sciences, Middle East Technical University, Erdemli, Mersin 33731, Turkey; Department of Ecoscience and Centre for Water Technology /WATEC), Aarhus University, Vejlsøvej 25, Silkeborg 8600, Denmark; Sino-Danish Centre for Education and Research (SDC), University of Chinese Academy of Sciences, Beijing, China; Limnology Laboratory, Department of Biological Sciences and Centre for Ecosystem Research and Implementation, Middle East Technical University, Ankara, Turkey; Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China.

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