2020
DOI: 10.7717/peerj.9977
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Assessing turbine passage effects on internal fish injury and delayed mortality using X-ray imaging

Abstract: Knowledge on the extent and mechanisms of fish damage caused by hydropower facilities is important for the conservation of fish populations. Herein, we assessed the effects of hydropower turbine passage on internal fish injuries using X-ray technology. A total of 902 specimens from seven native European fish species were screened for 36 types of internal injuries and 86 external injuries evaluated with a previously published protocol. The applied systematic visual evaluation of X-ray images successfully detect… Show more

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Cited by 23 publications
(24 citation statements)
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References 50 publications
(95 reference statements)
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“…This comprises mortality or injuries from contact with structures, such as screens and bars, collision with turbine blades, shear stress, and barotrauma arising from abrupt pressure changes during turbine passage. Direct and delayed mortality (Ferguson et al, 2006) as well as types of external and internal injury (Mueller, Pander & Geist, 2017; Mueller et al, 2020b) are affected by the physical and hydraulic forces encountered by the fishes and can be predicted to some extent (Deng et al, 2007; Boys et al, 2018), although strong species‐specific differences related to anatomical properties prevail. Even less is known about how fish behaviour affects mortality and differences in injury, related to different species, personality types, and diurnal activity patterns, as well as route choice at hydropower facilities (Baumgartner et al, 2014b).…”
Section: Ecological Impacts Of Hydropowermentioning
confidence: 99%
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“…This comprises mortality or injuries from contact with structures, such as screens and bars, collision with turbine blades, shear stress, and barotrauma arising from abrupt pressure changes during turbine passage. Direct and delayed mortality (Ferguson et al, 2006) as well as types of external and internal injury (Mueller, Pander & Geist, 2017; Mueller et al, 2020b) are affected by the physical and hydraulic forces encountered by the fishes and can be predicted to some extent (Deng et al, 2007; Boys et al, 2018), although strong species‐specific differences related to anatomical properties prevail. Even less is known about how fish behaviour affects mortality and differences in injury, related to different species, personality types, and diurnal activity patterns, as well as route choice at hydropower facilities (Baumgartner et al, 2014b).…”
Section: Ecological Impacts Of Hydropowermentioning
confidence: 99%
“…This target species for conservation receives great attention and has a unique life cycle in which adults metamorphose into silver eel that migrate down the rivers on their long spawning migration into the Sargasso Sea. Silver eel have a long, elongated body shape and thus are at high risk of getting injured when passing hydropower facilities in a downstream direction (Egg et al, 2017; Mueller, Pander & Geist, 2017; Mueller et al, 2020b). For this reason, there have been various proposals for adjusting turbine operations in relation to eel activity patterns, or for trapping eels, moving them around the barriers, and then releasing them near the ocean (‘trap and truck’).…”
Section: Ecological Impacts Of Hydropowermentioning
confidence: 99%
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“…In light of the controversy about the pros and cons of hydropower, a variety of monitoring programs have been initiated to examine the effects of conventional and innovative hydropower technologies on fish passage. Examinations of seasonal and diurnal patterns of fish passage [1], assessments of the acceptance of different corridors for downstream passage [2,3], as well as analyses of external and internal injury patterns after passage [4][5][6], all depend on stow-net catches of fish at hydropower facilities. Stow-net-based monitoring at hydropower turbine outlets in small-to medium-sized rivers is considered a gold standard to investigate turbine-related fish injury and bypass efficiency compared to cameraor sonar-based technologies [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%