2023
DOI: 10.1002/ecs2.4584
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Climate‐driven decline in the habitat of the endemic spiny babbler (Turdoides nipalensis)

Abstract: Climate change could amplify the extinction risk of endemic species, and the risk is even greater for species occupying high elevations and mountain ranges.In this study, we assessed the climatically suitable habitat of the only endemic Nepalese bird species, the spiny babbler (Turdoides nipalensis), and predicted the extent of the future (2050 and 2070) habitat of this species under two climate change scenarios (SSP2-4.5 and SSP5-8.5). We used georeferenced occurrence points alongside ecologically meaningful … Show more

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Cited by 9 publications
(5 citation statements)
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“…The dominant species is Acacia catechu, which is threatened in the area. Other common plant species include Bombax ceiba , Dalbergia sissoo , Sapium insigne , Schima wallichii , Lagerstroemia parviflora , Bauhinia vahlii , Desmodiumo ojeinense , and Murraya koenigii (Adhikari et al., 2023; Sharma et al., 2021; Uprety et al., 2011). The study site is home to 20 mammalian species, including large carnivores such as leopard (DFO, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…The dominant species is Acacia catechu, which is threatened in the area. Other common plant species include Bombax ceiba , Dalbergia sissoo , Sapium insigne , Schima wallichii , Lagerstroemia parviflora , Bauhinia vahlii , Desmodiumo ojeinense , and Murraya koenigii (Adhikari et al., 2023; Sharma et al., 2021; Uprety et al., 2011). The study site is home to 20 mammalian species, including large carnivores such as leopard (DFO, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…As recent SDM studies have successfully achieved improved predictive accuracy by combining models generated from several algorithms (Hao et al 2020, Adhikari et al 2023, rather than a single algorithm in SDM (e.g., MAXENT), we used an ensemble modeling approach to develop the habitat suitability models. Biogeography 2023, 15.3, e58763 © the authors, CC-BY 4.0 license 4…”
Section: Methodsmentioning
confidence: 99%
“…As recent SDM studies have successfully improved predictive accuracy by combining models generated from several algorithms (Hao et al 2020;Adhikari et al 2022Adhikari et al , 2023Subedi et al 2023), rather than a single algorithm in SDM, an ensemble modeling approach was used to develop habitat suitability models, combining multiple SDM algorithms. First, sampling bias and spatially autocorrelated occurrence data were addressed through spatial rarefaction or filtering (Kramer-Schadt et al 2013;Boria et al 2014;Aiello-Lammens et al 2015).…”
Section: Species Distribution Modellingmentioning
confidence: 99%