Behavioral Responses of Migratory Fish to Environmental Cues: Evidence from the Heishui River

Hydropower infrastructure has profoundly altered riverine connectivity, posing challenges to the migratory behavior of aquatic species. This study examined the post-passage migration efficiency of Schizothorax wangchiachii in a regulated river system, focusing on upstream and downstream reaches of the Songxin Hydropower Station on the Heishui River, a tributary of the Jinsha River. We used radio-frequency identification (RFID) tagging to track individuals after fishway passage and coupled this with environmental monitoring data. A Cox proportional hazards model was applied to identify key abiotic drivers of migration success and to develop a predictive framework. The upstream success rate was notably low (15.6%), with a mean passage time of 438 h, while downstream success reached 81.1%, with an average of 142 h. Fish exhibited distinct diel migration patterns; upstream movements were largely nocturnal, whereas downstream migration mainly occurred during daylight. Water temperature (HR = 0.535, p = 0.028), discharge (HR = 0.801, p = 0.050), water level (HR = 0.922, p = 0.040), and diel timing (HR = 0.445, p = 0.088) emerged as significant factors shaping the upstream movement. Our findings highlight that fishways alone may not ensure functional connectivity restoration. Instead, coordinated habitat interventions in upstream tributaries, alongside improved passage infrastructure, are crucial. A combined telemetry and modeling approach offers valuable insights for river management in fragmented systems.

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Publication Details

Journal
Fishes
Published
2025-06-30
DOI
https://doi.org/10.3390/fishes10070310
Citations
1
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
2.31

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article

Behavioral Responses of Migratory Fish to Environmental Cues: Evidence from the Heishui River

Yilin Jiao, Jin-Wen Xu, Xiaozhang Hu, Shan‐e‐hyder Soomro et al.
1 citations
Fishes
Fish Ecology and Management Studies
2.31
article

Behavioral Responses of Migratory Fish to Environmental Cues: Evidence from the Heishui River

Yilin Jiao, Jin-Wen Xu, Xiaozhang Hu, Shan‐e‐hyder Soomro, Bingjun Liu, Xiaotao Shi, Dongqing Li, Chenyu Lin, Senfan Ke, Jian Ping Wang, Yujiao Wu
article en
1 citations

Abstract

Hydropower infrastructure has profoundly altered riverine connectivity, posing challenges to the migratory behavior of aquatic species. This study examined the post-passage migration efficiency of Schizothorax wangchiachii in a regulated river system, focusing on upstream and downstream reaches of the Songxin Hydropower Station on the Heishui River, a tributary of the Jinsha River. We used radio-frequency identification (RFID) tagging to track individuals after fishway passage and coupled this with environmental monitoring data. A Cox proportional hazards model was applied to identify key abiotic drivers of migration success and to develop a predictive framework. The upstream success rate was notably low (15.6%), with a mean passage time of 438 h, while downstream success reached 81.1%, with an average of 142 h. Fish exhibited distinct diel migration patterns; upstream movements were largely nocturnal, whereas downstream migration mainly occurred during daylight. Water temperature (HR = 0.535, p = 0.028), discharge (HR = 0.801, p = 0.050), water level (HR = 0.922, p = 0.040), and diel timing (HR = 0.445, p = 0.088) emerged as significant factors shaping the upstream movement. Our findings highlight that fishways alone may not ensure functional connectivity restoration. Instead, coordinated habitat interventions in upstream tributaries, alongside improved passage infrastructure, are crucial. A combined telemetry and modeling approach offers valuable insights for river management in fragmented systems.

FishesVol. 10(7)
Sun Yat-sen University (CN), China Three Gorges University (CN), Sichuan University (CN), Pearl River Hydraulic Research Institute (CN), Ministry of Water Resources of the People's Republic of China (CN), State Key Laboratory of Hydraulics and Mountain River Engineering
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 13%
Fish Ecology and Management Studies
2.31
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