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Dodd JR, Noble RAA, Nunn AD, Owen HM, Moccetti P, Harvey JP, Wallace L, Gillespie B, Joyce DA, Bolland JD. Spatial ecology and population dynamics of brown trout Salmo trutta L. in reservoirs and headwater tributaries. JOURNAL OF FISH BIOLOGY 2024. [PMID: 39034631 DOI: 10.1111/jfb.15814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 04/29/2024] [Accepted: 05/12/2024] [Indexed: 07/23/2024]
Abstract
This investigation compared the spatial ecology and population dynamics of brown trout Salmo trutta L. between reservoirs with (impact; Langsett Reservoir) and without (control; Grimwith Reservoir) barriers to fish movements into headwater tributaries, and the effectiveness of a fish pass intended to remediate connectivity. Passive integrated transponder (PIT) telemetry revealed that fish that emigrated from Langsett and Grimwith tributaries were 1-3 and 0-2 years old, respectively, and predominantly did so in spring and autumn-early winter in both systems. Weirs at Langsett Reservoir appeared to thwart emigration rate (26%) relative to Grimwith Reservoir (85%). Acoustic telemetry (two-dimensional positions) in the impacted reservoir revealed that the largest home range was in October-December (95% monthly activity space S.D. up to 26.9 ± 6.69 ha in November), activity was influenced by both month and time of day, and fish occupied shallow water depths (relative to reservoir depth), especially at night. Brown trout tagged in Grimwith and Langsett Reservoirs (42.9% and 64.1%, respectively) and fish tagged in the tributaries that emigrated (37.2% and 27.7%, respectively) were detected immigrating into tributaries throughout the year. At both reservoirs, peak immigration for ≥3-year-old trout occurred primarily in autumn-early winter. Overall passage efficiency went from 3% prior to remediation to 14% after and there was no significant increase in fish densities following the construction of the fish pass. Fish were attracted towards and entered the fish pass under a wide range of river levels, but only succeeded in passing upstream during low levels, which are uncommon druing the main migration period. Overall, this investigation significantly furthers our understanding of brown trout spatial ecology and population dynamics in reservoirs and headwater tributaries.
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Affiliation(s)
- Jamie R Dodd
- Hull International Fisheries Institute, School of Natural Sciences, University of Hull, Hull, UK
| | - Richard A A Noble
- Hull International Fisheries Institute, School of Natural Sciences, University of Hull, Hull, UK
| | - Andy D Nunn
- Hull International Fisheries Institute, School of Natural Sciences, University of Hull, Hull, UK
| | - Holly M Owen
- Hull International Fisheries Institute, School of Natural Sciences, University of Hull, Hull, UK
| | - Paolo Moccetti
- Hull International Fisheries Institute, School of Natural Sciences, University of Hull, Hull, UK
- Evolutionary and Ecological Genomics Group, School of Natural Sciences, University of Hull, Hull, UK
- Energy and Environment Institute, University of Hull, Hull, UK
| | - Jonathan P Harvey
- Hull International Fisheries Institute, School of Natural Sciences, University of Hull, Hull, UK
| | - Liam Wallace
- Hull International Fisheries Institute, School of Natural Sciences, University of Hull, Hull, UK
| | - Ben Gillespie
- Yorkshire Water Services Limited, Western House, Western Way, Bradford, UK
| | - Domino A Joyce
- Evolutionary and Ecological Genomics Group, School of Natural Sciences, University of Hull, Hull, UK
| | - Jonathan D Bolland
- Hull International Fisheries Institute, School of Natural Sciences, University of Hull, Hull, UK
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Wang Z, Feng J, He T, Yang J, Wan H, Yuan Y, Li R. Study on the habitat evolution after dam removal in a habitat-alternative tributary of large hydropower station. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 360:121155. [PMID: 38761624 DOI: 10.1016/j.jenvman.2024.121155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/27/2024] [Accepted: 05/10/2024] [Indexed: 05/20/2024]
Abstract
The establishment of large hydropower stations in the main stream poses a threat to fish habitats. Selecting suitable tributaries as alternative habitats is a practical measure for ecological environment protection during large hydropower station's construction. The small dams constructed on certain tributaries need to be removed in order to restore river connectivity. The removal of dams will activate hydro-sedimentary dynamics and change the original habitat in terms of topography and hydrodynamics. To explore the evolution of fish habitats following the removal of small dams, a dam-removed reach of a habitat-alternative tributary was selected as the research object, and the model of water-sediment transport and riverbed evolution in strongly disturbed dam-removed reaches and the model of fish habitat suitability evaluation were established. The key parameters calibration and model verification were completed by field monitoring results. The simulation results showed dramatic evolution in the reservoir riverbed in the initial stage after dam removal and during the high discharge period. One year after dam removal, there was a noticeable 4.0 m incision in front of the dam, along with a decrease in channel slope at the dam site from about 4.8% to approximately 1.5%. Downstream of the dam, alterations to the riverbed were mainly concentrated near the dam, and sedimentary bodies with a height of around 2.0 m have formed on the left bank following the high discharge period. The fish habitat in most areas of the dam-removed reach was suitable, except for the downstream high-velocity area. To compare the evolution process of fish habitat under two dam removal periods in wet and dry seasons, two dam removal schemes were implemented in March and June. The results showed that the riverbed evolved more gradually in the March scheme, creating a larger and continuous suitable habitat for fish. Therefore, the March scheme was recommended. By revealing the evolutionary pattern of fish habitat after dam removal, this research provides a reliable model for assessing and restoring habitats in dam-removed reaches, and enjoys significant implications for protecting river ecology in hydropower development reaches.
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Affiliation(s)
- Zhenhua Wang
- State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan, 610065, China
| | - Jingjie Feng
- State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan, 610065, China.
| | - Tao He
- Power China Chengdu Engineering Corporation Limited, Chengdu, Sichuan, 611130, China
| | - Jiuxian Yang
- Power China Chengdu Engineering Corporation Limited, Chengdu, Sichuan, 611130, China
| | - Hang Wan
- Research Centre of Ecology & Environment for Coastal Area and Deep Sea, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
| | - Yuliang Yuan
- State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan, 610065, China
| | - Ran Li
- State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan, 610065, China
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FitzGerald AM, Martin BT. Quantification of thermal impacts across freshwater life stages to improve temperature management for anadromous salmonids. CONSERVATION PHYSIOLOGY 2022; 10:coac013. [PMID: 35492417 PMCID: PMC9041423 DOI: 10.1093/conphys/coac013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 02/21/2022] [Accepted: 03/11/2022] [Indexed: 05/31/2023]
Abstract
Water temperature is the major controlling factor that shapes the physiology, behaviour and, ultimately, survival of aquatic ectotherms. Here we examine temperature effects on the survival of Chinook salmon (Oncorhynchus tshawytscha), a species of high economic and conservation importance. We implement a framework to assess how incremental changes in temperature impact survival across populations that is based on thermal performance models for three freshwater life stages of Chinook salmon. These temperature-dependent models were combined with local spatial distribution and phenology data to translate spatial-temporal stream temperature data into maps of life stage-specific physiological performance in space and time. Specifically, we converted temperature-dependent performance (i.e. energy used by pre-spawned adults, mortality of incubating embryos and juvenile growth rate) into a common currency that measures survival in order to compare thermal effects across life stages. Based on temperature data from two abnormally warm and dry years for three managed rivers in the Central Valley, California, temperature-dependent mortality during pre-spawning holding was higher than embryonic mortality or juvenile mortality prior to smolting. However, we found that local phenology and spatial distribution helped to mitigate negative thermal impacts. In a theoretical application, we showed that high temperatures may inhibit successful reintroduction of threatened Central Valley spring-run Chinook salmon to two rivers where they have been extirpated. To increase Chinook salmon population sizes, especially for the threatened and declining spring-run, our results indicate that adults may need more cold-water holding habitat than currently available in order to reduce pre-spawning mortality stemming from high temperatures. To conclude, our framework is an effective way to calculate thermal impacts on multiple salmonid populations and life stages within a river over time, providing local managers the information to minimize negative thermal impacts on salmonid populations, particularly important during years when cold-water resources are scarce.
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Affiliation(s)
| | - Benjamin T Martin
- Department of Theoretical and Computational Ecology, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
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