Connectivity Loss in Experimental Pond Networks Leads to Biodiversity Loss in Microbial Metacommunities

Habitat fragmentation is among the most important global threats to biodiversity; however, the direct effects of its components including connectivity loss are largely unknown and still mostly inferred based on indirect evidence. Our understanding of these drivers is especially limited in microbial communities. Here, by conducting a 4-month outdoor experiment with artificial pond (mesocosm) metacommunities, we studied the effects of connectivity loss on planktonic microorganisms, primarily focusing on pro- and microeukaryotes. Connectivity loss was simulated by stopping the dispersal among local habitats after an initial period with dispersal. Keeping the habitat amount constant and the abiotic environment homogeneous allowed us to track the direct effects of the process of connectivity loss. We found that connectivity loss led to higher levels of extinction and a decrease in both local and regional diversity in microeukaryotes. In contrast, diversity patterns of prokaryotes remained largely unaffected, with some indications of extinction debt. Connectivity loss also led to lower evenness in microeukaryotes, likely through changes in biotic interactions with zooplankton grazers. Our results imply that connectivity loss can directly translate into species losses in communities and highlight the importance of conserving habitat networks with sufficient dispersal among local habitats.

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Publication Details

Journal
Global Change Biology
Published
2024-12-01
DOI
https://doi.org/10.1111/gcb.70001
Citations
5
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
2.29

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article

Connectivity Loss in Experimental Pond Networks Leads to Biodiversity Loss in Microbial Metacommunities

Tamás Felföldi, Csaba F. Vad, Zsuzsanna Márton, Károly Pálffy et al.
5 citations
Global Change Biology
Microbial Community Ecology and Physiology
2.29
article

Connectivity Loss in Experimental Pond Networks Leads to Biodiversity Loss in Microbial Metacommunities

Tamás Felföldi, Csaba F. Vad, Zsuzsanna Márton, Károly Pálffy, Zsófia Horváth, Péter Dobosy, Thu‐Hương Huỳnh, Ádám Fierpasz, Beáta Szabó, Máté Váczy‐Földi
article en
5 citations

Abstract

Habitat fragmentation is among the most important global threats to biodiversity; however, the direct effects of its components including connectivity loss are largely unknown and still mostly inferred based on indirect evidence. Our understanding of these drivers is especially limited in microbial communities. Here, by conducting a 4-month outdoor experiment with artificial pond (mesocosm) metacommunities, we studied the effects of connectivity loss on planktonic microorganisms, primarily focusing on pro- and microeukaryotes. Connectivity loss was simulated by stopping the dispersal among local habitats after an initial period with dispersal. Keeping the habitat amount constant and the abiotic environment homogeneous allowed us to track the direct effects of the process of connectivity loss. We found that connectivity loss led to higher levels of extinction and a decrease in both local and regional diversity in microeukaryotes. In contrast, diversity patterns of prokaryotes remained largely unaffected, with some indications of extinction debt. Connectivity loss also led to lower evenness in microeukaryotes, likely through changes in biotic interactions with zooplankton grazers. Our results imply that connectivity loss can directly translate into species losses in communities and highlight the importance of conserving habitat networks with sufficient dispersal among local habitats.

Global Change BiologyVol. 30(12)
Semmelweis University (HU), Eötvös Loránd University (HU), HUN-REN Centre for Ecological Research (HU)
European Commission, Magyar Tudományos Akadémia, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Horizon 2020 Framework Programme, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Life in Land
Openalex Percentile: Top 12%
Microbial Community Ecology and Physiology
2.29
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