Effects of landscape fragmentation on floodplain fishes as revealed by species–habitat networks

How species interact with habitat patches is influenced primarily by habitat configuration (e.g., connectivity) and species' functional traits. As levels of fragmentation increase, identifying the intricate connections between these components is crucial for biodiversity conservation. We used the species-habitat network (SHN) approach to identify the links between fish species and lakes in a highly fragmented floodplain; to determine lakes and fish species that are key to maintaining landscape SHN organization; and to examine the impact of habitat configuration and species functional traits on fish responses to loss of lateral hydrological connectivity (LHC). Low metacommunity functional connectivity, lack of robustness, and high modularity (i.e., strong within group interactions) and nestedness indicated low resistance of fish communities to long-lasting landscape fragmentation, highlighting the importance of large lakes connected by rivers and fishes that migrate between rivers and lakes to maintaining the SHN organization in floodplain ecosystems. The strong association between maximum body length and fish contribution to this network organization indicated that large fish species are potentially more likely to establish interactions at the landscape scale. Trophic level was the main factor controlling the roles of migrating fishes in SHN organization. Based on species' interactions with habitat patches, we identified and mapped the sites and species responsible for the main features of the SHN structure. Our approach offers new directions for conserving and restoring fragmented floodplains by integrating LHC and fish functional traits to inform targeted conservation priorities.

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Publication Details

Journal
Conservation Biology
Published
2025-08-27
DOI
https://doi.org/10.1111/cobi.70123
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Effects of landscape fragmentation on floodplain fishes as revealed by species–habitat networks

Yihao Ge, Xin Gao, Yunzhi Yan, Wenhui You et al.
Conservation Biology
Fish Ecology and Management Studies
article

Effects of landscape fragmentation on floodplain fishes as revealed by species–habitat networks

Yihao Ge, Xin Gao, Yunzhi Yan, Wenhui You, Jorge García‐Girón, Ziyu Liu, Chen Zhang, Shuxin Li, Ziyu Yang
article en

Abstract

How species interact with habitat patches is influenced primarily by habitat configuration (e.g., connectivity) and species' functional traits. As levels of fragmentation increase, identifying the intricate connections between these components is crucial for biodiversity conservation. We used the species-habitat network (SHN) approach to identify the links between fish species and lakes in a highly fragmented floodplain; to determine lakes and fish species that are key to maintaining landscape SHN organization; and to examine the impact of habitat configuration and species functional traits on fish responses to loss of lateral hydrological connectivity (LHC). Low metacommunity functional connectivity, lack of robustness, and high modularity (i.e., strong within group interactions) and nestedness indicated low resistance of fish communities to long-lasting landscape fragmentation, highlighting the importance of large lakes connected by rivers and fishes that migrate between rivers and lakes to maintaining the SHN organization in floodplain ecosystems. The strong association between maximum body length and fish contribution to this network organization indicated that large fish species are potentially more likely to establish interactions at the landscape scale. Trophic level was the main factor controlling the roles of migrating fishes in SHN organization. Based on species' interactions with habitat patches, we identified and mapped the sites and species responsible for the main features of the SHN structure. Our approach offers new directions for conserving and restoring fragmented floodplains by integrating LHC and fish functional traits to inform targeted conservation priorities.

Conservation BiologyVol. 40(1)
Institute of Hydrobiology (CN), Institute of Hydrobiology, Biology Centre, Academy of Sciences of the Czech Republic (CZ), Ministry of Education (KN), Anhui Normal University (CN), Anhui Polytechnic University (CN), Universidad de León (ES), University of Oulu (FI)
National Natural Science Foundation of China
Openalex Percentile: Top 77%
Fish Ecology and Management Studies
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