2019
DOI: 10.1016/j.scitotenv.2018.09.227
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An uncertain future for the endemic Galliformes of the Caucasus

Abstract: Impacts of climate change are already evident in ecosystems worldwide. High-latitude and altitude regions are at greatest risk because the effects of climate change are greater in these regions, and species from these areas have limited ability to track their climate envelopes. The Caucasian snowcock (Tetraogallus caucasicus) and the Caucasian grouse (Lyrurus mlokosiewiczi) are both high-altitude specialists that are endemic to a restricted range in the Caucasus mountains of Europe. Little research has been pe… Show more

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Cited by 25 publications
(27 citation statements)
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“…have shown that mountain bird species will lose a greater range of occurrence than other species (e.g., La Sorte & Jetz, 2010;Freeman, Scholer, Ruiz-Gutierez, & Fitzpatrick, 2018; see also a meta-analysis by Scridel et al, 2018). A possible reason for the difference between our results and those from other studies is that our data- Finally, had we assumed dispersal limitation in our ENMs, our estimates of range shift would be even greater (depicting a more pessimistic scenario) because dispersal limitation would make it difficult for species to track their optimal conditions in space (Hof & Allen, 2019;Wang, He, Thompson, Spetich, & Fraser, 2018). One could also argue that our estimates of potential geographic range loss would be lower after allowing for adaptation.…”
Section: Discussioncontrasting
confidence: 59%
See 1 more Smart Citation
“…have shown that mountain bird species will lose a greater range of occurrence than other species (e.g., La Sorte & Jetz, 2010;Freeman, Scholer, Ruiz-Gutierez, & Fitzpatrick, 2018; see also a meta-analysis by Scridel et al, 2018). A possible reason for the difference between our results and those from other studies is that our data- Finally, had we assumed dispersal limitation in our ENMs, our estimates of range shift would be even greater (depicting a more pessimistic scenario) because dispersal limitation would make it difficult for species to track their optimal conditions in space (Hof & Allen, 2019;Wang, He, Thompson, Spetich, & Fraser, 2018). One could also argue that our estimates of potential geographic range loss would be lower after allowing for adaptation.…”
Section: Discussioncontrasting
confidence: 59%
“…In general, our results suggest that the choice of AOGCMs is also an important aspect to be considered in studies searching for correlates of range shift.Finally, had we assumed dispersal limitation in our ENMs, our estimates of range shift would be even greater (depicting a more pessimistic scenario) because dispersal limitation would make it difficult for species to track their optimal conditions in space(Hof & Allen, 2019;Wang, He, Thompson, Spetich, & Fraser, 2018). A possible reason for the difference between our results and those from other studies is that our dataset included only 30 species (2.5% from all bird species we considered) with distributions restricted to high altitudes (following the classification proposed by Stotz, Fitzpatrick, Parker, & Moskovits, 1996; e.g., Accipter striatus Vieillot, 1808, Microcerculus ustulatus Salvin & Godman, 1883, Roraimia adusta (Salvin & Godman, 1884),and Trogon personatus Gould, 1842).…”
mentioning
confidence: 99%
“…Together, these considerations highlight that particularly the migration of individuals from the rear-edge populations of Caucasian grouse toward its core distribution might hold important potential for the species to cope with climate change. However, several ecological characteristics of the Caucasian grouse make this questionable, such as naturally low densities, often small and declining population size (BirdLife International, 2016; Gokhelashvili, Kerry, & Gavashelishvili, 2003) and a limited dispersal capability (Hof & Allen, 2019). Together, this suggests that the species is in growing need of conservation attention and active management to foster its survival in the Caucasus.…”
Section: Discussionmentioning
confidence: 99%
“…MaxEnt has been used frequently in conservation to model species distributions primarily because it is highly accurate with small sample sizes (Elith et al 2011;Qin et al 2017), characteristic of Threatened species. This software also models distributions under future climate change scenarios, allowing this threat to be assessed (Qin et al 2017;Hof and Allen 2019). MaxEnt's inferences are correlative, with the software using a regression framework to produce predictions of occurrence.…”
Section: Species Distribution Modellingmentioning
confidence: 99%
“…Two climate models were selected for comparison, Community Climate System Model version 4 (CCSM4 GCM) and Model for Interdisciplinary Research on Climate (Miroc ESM), to allow us to assess the reliability of our results across models. We selected these as they have both been used in previous studies to assess changes in habitat suitability linked to climate change (Rej and Joyner 2018;Hof and Allen 2019). We also selected two climate change scenarios to model, RCP 2.6 which represents a best-case scenario (BC) where emissions peak in 2020, and RCP 8.5 which is a worst-case scenario and similar to business as usual (BU).…”
Section: Species Distribution Modellingmentioning
confidence: 99%