2021
DOI: 10.1016/j.ecolind.2020.106900
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Is there always space at the top? Ensemble modeling reveals climate-driven high-altitude squeeze for the vulnerable snow trout Schizothorax richardsonii in Himalaya

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Cited by 37 publications
(35 citation statements)
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“…Protocols have been developed and dams have also been designed elsewhere, to mimic the natural flow conditions required for the native rheophilic species which cannot survive in inundated areas like the reservoirs (Johnson et al., 2017; Propst & Gido, 2004; Stanford et al., 1996; Wegscheider et al., 2020). Snow trout, which is also a prime rheophilic species of Himalaya (Sharma et al., 2021b), however has not been considered while designing the RoR dams in basins like Parwati, where the frequent switching of turbines create rapid flow fluctuations (Kumar & Katoch, 2016; Saxena, 2014), which act as major stressors for the native snow trout. Such flow alterations have been reported to aggravate the active metabolism of fishes to a state that energy allocation to growth becomes impracticable for the fish, with most of the energy lost to physiological stress (Puffer et al, 2015, Young et al., 2011).…”
Section: Discussionmentioning
confidence: 99%
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“…Protocols have been developed and dams have also been designed elsewhere, to mimic the natural flow conditions required for the native rheophilic species which cannot survive in inundated areas like the reservoirs (Johnson et al., 2017; Propst & Gido, 2004; Stanford et al., 1996; Wegscheider et al., 2020). Snow trout, which is also a prime rheophilic species of Himalaya (Sharma et al., 2021b), however has not been considered while designing the RoR dams in basins like Parwati, where the frequent switching of turbines create rapid flow fluctuations (Kumar & Katoch, 2016; Saxena, 2014), which act as major stressors for the native snow trout. Such flow alterations have been reported to aggravate the active metabolism of fishes to a state that energy allocation to growth becomes impracticable for the fish, with most of the energy lost to physiological stress (Puffer et al, 2015, Young et al., 2011).…”
Section: Discussionmentioning
confidence: 99%
“…Listed vulnerable by the IUCN, snow trout is already under serious threat due to the ongoing hydropower developments, impoundments and habitat loss (Grumbine & Pandit, 2013; Vishwanath, 2010). Global warming raises further concerns for snow trout conservation, with substantial range contractions predicted for this species across Himalaya (Sharma et al., 2021b). Additionally, brown trout invasion could be another major challenge for the snow trout, necessitating investigations on its life‐history traits for stringent mitigation measures.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, more detailed molecular studies would promote conservation planning at the regional scale but will also require the analysis of populations now geographically isolated across the Himalaya. This, in turn, will necessitate cooperation/ collaboration among neighboring countries, particularly given the recognized (as well as predicted) impacts of climate change on the Third Pole in general, and Schizothhorax in particular [22].…”
Section: Discussionmentioning
confidence: 99%
“…The onset of these conditions has (and will continue to) significantly impact the distribution of Schizothorax, forcing a migration into higher-elevation streams, as well as concomitant contraction of trailing-edge habitats [22]. These are important considerations given the limitations inherent with Schizothorax taxonomy, especially given the strong potential for as-of-yet undiscovered biotic components (e.g.…”
Section: Contemporary Significancementioning
confidence: 99%
“…We assumed that distance to shore and ocean depth remain constant in the future. Future temperature, salinity, ice thickness, and current velocity) in Bio-ORACLE were predicted based on the mean simulation results of three Atmosphere-Ocean General Circulation Models (AOGCMs), i.e., Community Climate System Model (CCSM4, National Center for Atmospheric Research), Hadley Center Global Environment Model, version 2 (HadGEM2-ES, Met Office Hadley Centre) and Model for Interdisciplinary Research on Climate, version 5 (MIROC5, Atmosphere and Ocean Research Institute, National Institute for Environmental Studies, and Japan Agency for Marine-Earth Science and Technology) from the Coupled Model Intercomparison Project 5 (CMIP 5) (Assis et al, 2018;Sharma et al, 2021). We believed the mean results of three different AOGCMs can reduce the uncertainties effectively.…”
Section: Environmental Variables and Future Projectionsmentioning
confidence: 99%