Modeling Spawning Habitats of <i>Coreius guichenoti</i> with Substrate Considerations: A Case Study of Pingdi Town in the Lower Jinsha River

Modeling Spawning Habitats of <i>Coreius guichenoti</i> with Substrate Considerations: A Case Study of Pingdi Town in the Lower Jinsha River

<i>Coreius guichenoti</i>, once widely distributed in the upper reaches of the Jinsha River, has become a nationally protected species in China due to the profound impacts of cascade reservoirs. To assess the influence of substrate on the suitability of spawning habitat for <i>C. g...

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Bibliographic Details
Main Authors: Wenchao Li, Dong Chen, Lekui Zhu, Tong Liu, Hanyue Wang, Litao Zhang, Rui Han, Zhi Yang, Jun Yan, Hongyi Yang, Anan Guo, Lei Liu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Animals
Subjects:
lower Jinsha River
<i>Coreius guichenoti</i>
fuzzy logic
habitat
reproduction
Online Access:https://www.mdpi.com/2076-2615/15/6/881
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Summary:<i>Coreius guichenoti</i>, once widely distributed in the upper reaches of the Jinsha River, has become a nationally protected species in China due to the profound impacts of cascade reservoirs. To assess the influence of substrate on the suitability of spawning habitat for <i>C. guichenoti</i>, this study develops a substrate-inclusive habitat model using fuzzy logic based on expert knowledge. Taking the Pingdi Town section of the lower Jinsha River—a historical spawning site for <i>C. guichenoti</i>—as a case study from March to July 2020, we simulated changes in the spawning habitat suitability index (HSI) and compared the results with those from traditional models that exclude substrate factors. The results showed that in the first and second halves of May, Weighted Usable Area (<i>WUA</i>) and Overall Suitability Index (OSI) increased by 42.31% and 38.73%, respectively, while MSP exhibited dramatic increases of 236.04% and 614.56%. These improvements were primarily observed along the riverbanks, where HSI increased by approximately 0.25. From a management perspective, the HSI results provide a scientific basis for optimizing ecological flow regulation. Incorporating substrate factors into spawning habitat models offers a more objective and comprehensive assessment of habitat quality. Habitat restoration measures, such as targeted substrate improvement in key riverbank areas, may further increase habitat suitability, providing additional opportunities for conservation planning in regulated rivers.
ISSN:2076-2615

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