4.7 Article

Riparian land use and in-channel stressors drive fish community structure in the Yangtze River

Journal

LANDSCAPE ECOLOGY
Volume 36, Issue 10, Pages 3079-3095

Publisher

SPRINGER
DOI: 10.1007/s10980-021-01278-8

Keywords

Landscape patterns; Fish metrics; Large rivers; Urbanization; Shoreline modification; Fishing pressure

Funding

  1. National Key R&D Program of China [2019YFD0901203]
  2. Chinese Academy of Sciences [Y62302, Y45Z04, ZDRW-ZS-2017-3-2]
  3. China Three Gorges Corporation [201903144]
  4. WWF [10002550, 10003581]

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The study found strong negative correlations between human stressors in riparian areas and fish communities along the Yangtze River, especially impacting limnophilic fish abundance, biomass, and richness. The predominant riparian land uses were cropland (65.3% +/- 13.1%) and urban land (19.7% +/- 13.6%) in the study area.
Context Untangling relationships between landscape patterns shaped by human stressors and related response of fish communities is important for identifying biodiversity patterns and conservation targets, yet in large rivers this knowledge is extremely limited. Objectives Our study focuses on how human stressors within a riparian landscape zone, including both riparian land use and in-channel stressors, explained the fish community structure in a large river. Methods We studied fish community patterns along the upstream-downstream gradient of the Yangtze River, China. The curve estimation was used to test correlations between fish metrics and the distance from the estuary. We linked human stressors to fish metrics by multivariate generalized linear models. Results We collected a total of 63 freshwater fish species from 6,147 specimens. Limnophilic species had the highest richness, represented by 30 specie. The predominant riparian land uses in the studied reaches were cropland (65.3% +/- 13.1%) and urban land (19.7% +/- 13.6%). There were strong negative correlations between riparian land use (e.g., urban land) and in-channel stressors (e.g., shoreline modification, navigation, and fishing pressure) and fish assemblages, especially limnophilic fish abundance, biomass, and richness. Conclusions These results demonstrate influences of both riparian land use and in-channel stressors on fish communities, and highlight the use of landscape descriptors as a valuable approach to assess linkages between human pressures and fish diversity in large river systems. Management recommendations include: establishing or rehabilitating riparian buffers, improving commercial navigation management, implementing shoreline protection measures, and reinforcing fishing laws and regulations.

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