The potential distribution of the yellow monitor, Varanus flavescens (Hardwick & Gray) under multiple climate, land cover and dispersal scenarios in Nepal

References

Allen MR, Dube OP, Solecki W, Aragón-Durand F, Cramer W, Humphreys S, Kainuma M, Kala J, Mahowald N, Mulugetta Y, Perez R, Wairiu M, Zickfeld K (2018) Framing and context. In ‘Global Warming of 1.5°C. An IPCC Special Report on the Impacts of Global Warming of 1.5°C above Pre-industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty’. (Eds V Masson-Delmotte, P Zhai, H-O Pörtner, D Roberts, J Skea, PR Shukla, A Pirani, W Moufouma-Okia, C Péan, R Pidcock, S Connors, JBR Matthews, Y Chen, X Zhou, MI Gomis, E Lonnoy, T Maycock, M Tignor, T Waterfield) pp. 49–92. (Cambridge University Press: Cambridge, UK)

Allouche, O, Tsoar, A, and Kadmon, R (2006). Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43, 1223–1232.
| Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS).Crossref | GoogleScholarGoogle Scholar |

Araújo, MB, Anderson, RP, Márcia Barbosa, A, Beale, CM, Dormann, CF, Early, R, Garcia, RA, Guisan, A, Maiorano, L, Naimi, B, O’Hara, RB, Zimmermann, NE, and Rahbek, C (2019). Standards for distribution models in biodiversity assessments. Science Advances 5, .
| Standards for distribution models in biodiversity assessments.Crossref | GoogleScholarGoogle Scholar |

Auffenberg, W, Hafizur, R, Fehmida, I, and Zahida, P (1987). A study of Varanus flavescens (Hardwicke and Gray) (Sauria: Varanidae). Journal of Bombay Natural History Society 86, 286–307.

Auliya M, Koch A (2020) Visual identification guide to the monitor lizard species of the world (Genus Varanus). Bundesamt für Naturschutz (BfN) Federal Agency for Nature Conservation, Bonn, Germany.

Bean, WT, Stafford, R, and Brashares, JS (2012). The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models. Ecography 35, 250–258.
| The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models.Crossref | GoogleScholarGoogle Scholar |

Beaumont, LJ, Hughes, L, and Pitman, AJ (2008). Why is the choice of future climate scenarios for species distribution modelling important? Ecology Letters 11, 1135–1146.
| Why is the choice of future climate scenarios for species distribution modelling important?Crossref | GoogleScholarGoogle Scholar |

Bellard, C, Bertelsmeier, C, Leadley, P, Thuiller, W, and Courchamp, F (2012). Impacts of climate change on the future of biodiversity. Ecology Letters 15, 365–377.
| Impacts of climate change on the future of biodiversity.Crossref | GoogleScholarGoogle Scholar |

Bergmann, PJ, and Berry, DS (2021). How head shape and substrate particle size affect fossorial locomotion in lizards? Journal of Experimental Biology 224, .
| How head shape and substrate particle size affect fossorial locomotion in lizards?Crossref | GoogleScholarGoogle Scholar |

Bickford, D, Howard, SD, Ng, DJJ, and Sheridan, JA (2010). Impacts of climate change on the amphibians and reptiles of southeast Asia. Biodiversity and Conservation 19, 1043–1062.
| Impacts of climate change on the amphibians and reptiles of southeast Asia.Crossref | GoogleScholarGoogle Scholar |

Bochaton, C, Paradis, E, Bailon, S, Grouard, S, Ineich, I, Lenoble, A, Lorvelec, O, Tresset, A, and Boivin, N (2021). Large-scale reptile extinctions following European colonization of the Guadeloupe Islands. Science Advances 7, .
| Large-scale reptile extinctions following European colonization of the Guadeloupe Islands.Crossref | GoogleScholarGoogle Scholar |

Boria, RA, Olson, LE, Goodman, SM, and Anderson, RP (2014). Spatial filtering to reduce sampling bias can improve the performance of ecological niche models. Ecological Modelling 275, 73–77.
| Spatial filtering to reduce sampling bias can improve the performance of ecological niche models.Crossref | GoogleScholarGoogle Scholar |

Breiner, FT, Guisan, A, Bergamini, A, and Nobis, MP (2015). Overcoming limitations of modelling rare species by using ensembles of small models. Methods in Ecology and Evolution 6, 1210–1218.
| Overcoming limitations of modelling rare species by using ensembles of small models.Crossref | GoogleScholarGoogle Scholar |

Breiner, FT, Nobis, MP, Bergamini, A, and Guisan, A (2018). Optimizing ensembles of small models for predicting the distribution of species with few occurrences. Methods in Ecology and Evolution 9, 802–808.
| Optimizing ensembles of small models for predicting the distribution of species with few occurrences.Crossref | GoogleScholarGoogle Scholar |

Brennan, IG, Lemmon, AR, Lemmon, EM, Portik, DM, Weijola, V, Welton, L, Donnellan, SC, and Keogh, JS (2021). Phylogenomics of monitor lizards and the role of competition in dictating body size disparity. Systematic Biology 70, 120–132.
| Phylogenomics of monitor lizards and the role of competition in dictating body size disparity.Crossref | GoogleScholarGoogle Scholar |

Brevik EC (2013) Climate change, soils, and human health. In ‘Soils and Human Health’. (Eds EC Brevik, LC Burgess) pp. 345–383. (CRC Press: Boca Raton, FL, USA)

Broennimann O, Di Cola V, Guisan A (2021) ecospat: spatial ecology miscellaneous methods. R package version 3.2. Available at https://CRAN.R-project.org/package=ecospat

Böhm, M, Collen, B, Baillie, JEM, Bowles, P, Chanson, J, Cox, N, et al. (2013). The conservation status of the world’s reptiles. Biological Conservation 157, 372–385.
| The conservation status of the world’s reptiles.Crossref | GoogleScholarGoogle Scholar |

Carotenuto, AR, Guarracino, F, Šumbera, R, and Fraldi, M (2020). Burrowing below ground: interaction between soil mechanics and evolution of subterranean mammals. Journal of the Royal Society Interface 17, 20190521.

Carroll, C, and Noss, RF (2021). Rewilding in the face of climate change. Conservation Biology 35, 155–167.
| Rewilding in the face of climate change.Crossref | GoogleScholarGoogle Scholar |

Chhetri, B, Badola, HK, and Barat, S (2018). Predicting climate-driven habitat shifting of the Near Threatened Satyr Tragopan (Tragopan satyra; Galliformes) in the Himalayas. Avian Biology Research 11, 221–230.

Conrad, JL, Ast, JC, Montanari, S, and Norell, MA (2011). A combined evidence phylogenetic analysis of Anguimorpha (Reptilia: Squamata). Cladistics 27, 230–277.
| A combined evidence phylogenetic analysis of Anguimorpha (Reptilia: Squamata).Crossref | GoogleScholarGoogle Scholar |

Cordier, JM, Aguilar, R, Lescano, JN, Leynaud, GC, Bonino, A, Miloch, D, Loyola, R, and Nori, J (2021). A global assessment of amphibian and reptile responses to land-use changes. Biological Conservation 253, .
| A global assessment of amphibian and reptile responses to land-use changes.Crossref | GoogleScholarGoogle Scholar |

Das A, Hasan MK, Bhattarai S, Wangyal J, Mohapatra P (2021) Varanus flavescens. The IUCN red list of threatened species 2021: e.T22872A127899602. Available at https://doi.org/10.2305/IUCN.UK.2021-2.RLTS.T22872A127899602.en [Accessed 07 February 2022]

Diele-Viegas, LM, Figueroa, RT, Vilela, B, and Rocha, CFD (2020). Are reptiles toast? A worldwide evaluation of Lepidosauria vulnerability to climate change. Climatic Change 159, 581–599.
| Are reptiles toast? A worldwide evaluation of Lepidosauria vulnerability to climate change.Crossref | GoogleScholarGoogle Scholar |

Díaz S, Settele J, Brondízio ES, Ngo HT, Guèze M, Agard J, Arneth A, Balvanera P, Brauman KA, Butchart SHM, Chan KMA, Garibaldi LA, Ichii K, Liu J, Subramanian SM, Midgley GF, Miloslavich P, Molnár Z, Obura D, Pfaff A, Polasky S, Purvis A, Razzaque J, Reyers B, Chowdhury R, Shin YJ, Visseren-Hamakers IJ, Willis KJ, Zayas CN (2019) Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. IPBES Secretariat, Bonn, Germany.

Fick, SE, and Hijmans, RJ (2017). WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37, 4302–4315.
| WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas.Crossref | GoogleScholarGoogle Scholar |

Fielding, AH, and Bell, JF (1997). A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24, 38–49.
| A review of methods for the assessment of prediction errors in conservation presence/absence models.Crossref | GoogleScholarGoogle Scholar |

IPCC (2014) Summary for policymakers. In ‘Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change’. (Eds CB Fields, VR Barros, DJ Dokken, KJ Mach, MD Mastrandrea, TE Bilir, M Chatterjee, KL Ebi, YO Estrada, RC Genova, B Girma, ES Kissel, AN Levy, S MacCracken, PR Mastrandrea, LL White) pp. 1–32. (Cambridge University Press: Cambridge, UK)

Friedl M, Sulla-Menashe D (2019) MCD12Q1 MODIS/Terra+Aqua land cover type yearly L3 global 500m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 15 January 2022. Available at https://doi.org/10.5067/MODIS/MCD12Q1.00615

Ghimire HR (2012) Distribution and conservation status of yellow monitor, Varanus flavescens (Hardwicke and Gray, 1827) in Parasan VDC of Kanchanpur District. MSc thesis, Tribhuwan University, Kirtipur, Nepal.

Ghimire, HR, and Shah, KB (2014). Status and habitat ecology of the yellow monitor, Varanus flavescens, in the southeastern part of Kanchanpur District, Nepal. Herpetological Conservation and Biology 9, 387–393.

Guisan A, Thuiller W, Zimmermann NE (2017) ‘Habitat Suitability and Distribution Models.’ (Cambridge University Press: Cambridge, UK) https://doi.org/https://doi.org/10.1017/9781139028271

Gumbricht T, Román-Cuesta RM, Verchot LV, Herold M, Wittmann F, Householder E, Herold N, Murdiyarso D (2017) Tropical and subtropical wetlands distribution (Version 5) [Dataset]. Center for International Forestry Research 428 (CIFOR). https://doi.org/10.17528/cifor/data.00058

Halvorson, AD, Wienhold, BJ, and Black, AL (2002). Tillage, nitrogen, and cropping system effects on soil carbon sequestration. Soil Science Society of America Journal 66, 906–912.
| Tillage, nitrogen, and cropping system effects on soil carbon sequestration.Crossref | GoogleScholarGoogle Scholar |

Hengl T (2018a) Soil bulk density (fine earth) 10 x kg/m-cubic at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution (Version v02) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1475970

Hengl T (2018b) Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution (v0.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.2525682

Hirzel, AH, Le Lay, G, Helfer, V, Randin, C, and Guisan, A (2006). Evaluating the ability of habitat suitability models to predict species presences. Ecological Modelling 199, 142–152.
| Evaluating the ability of habitat suitability models to predict species presences.Crossref | GoogleScholarGoogle Scholar |

Howard, C, Stephens, PA, Pearce-Higgins, JW, Gregory, RD, Butchart, SHM, and Willis, SG (2020). Disentangling the relative roles of climate and land cover change in driving the long-term population trends of European migratory birds. Diversity and Distributions 26, 1442–1455.
| Disentangling the relative roles of climate and land cover change in driving the long-term population trends of European migratory birds.Crossref | GoogleScholarGoogle Scholar |

Huey, RB, Deutsch, CA, Tewksbury, JJ, Vitt, LJ, Hertz, PE, Álvarez Pérez, HJ, and Garland, T (2009). Why tropical forest lizards are vulnerable to climate warming. Proceedings of the Royal Society B: Biological Sciences 276, 1939–1948.
| Why tropical forest lizards are vulnerable to climate warming.Crossref | GoogleScholarGoogle Scholar |

Jones, AR, Jessop, TS, Ariefiandy, A, Brook, BW, Brown, SC, Ciofi, C, Benu, YJ, Purwandana, D, Sitorus, T, Wigley, TML, and Fordham, DA (2020). Identifying island safe havens to prevent the extinction of the World’s largest lizard from global warming. Ecology and Evolution 10, 10492–10507.
| Identifying island safe havens to prevent the extinction of the World’s largest lizard from global warming.Crossref | GoogleScholarGoogle Scholar |

Kang, J-Y, and Aldstadt, J (2019). Using multiple scale spatio-temporal patterns for validating spatially explicit agent-based models. International Journal of Geographical Information Science 33, 193–213.
| Using multiple scale spatio-temporal patterns for validating spatially explicit agent-based models.Crossref | GoogleScholarGoogle Scholar |

Karger, DN, Conrad, O, Böhner, J, Kawohl, T, Kreft, H, Soria-Auza, RW, Zimmermann, NE, Linder, HP, and Kessler, M (2017). Climatologies at high resolution for the Earth land surface areas. Scientific Data 4, .
| Climatologies at high resolution for the Earth land surface areas.Crossref | GoogleScholarGoogle Scholar |

Khatiwada, J, and Ghimire, BR (2009). Conservation status of Varanus flavescens in Chitwan, Nepal. Biawak 3, 100–105.

Li A, Lei G, Cao X, Zhao W, Deng W, Koirala HL (2017a) Land cover change and its driving forces in Nepal since 1990. In ‘Land Cover Change and its Eco-environmental Responses in Nepal’. (Eds A Li, W Deng, W Zhao) pp. 41–65. (Springer: Singapore)

Li, X, Chen, G, Liu, X, Liang, X, Wang, S, Chen, Y, Pei, F, and Xu, X (2017b). A new global land-use and land-cover change product at a 1-km resolution for 2010 to 2100 based on human–environment interactions. Annals of the American Association of Geographers 107, 1040–1059.
| A new global land-use and land-cover change product at a 1-km resolution for 2010 to 2100 based on human–environment interactions.Crossref | GoogleScholarGoogle Scholar |

Liu, C, Berry, PM, Dawson, TP, and Pearson, RG (2005). Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28, 385–393.
| Selecting thresholds of occurrence in the prediction of species distributions.Crossref | GoogleScholarGoogle Scholar |

Lomba, A, Pellissier, L, Randin, C, Vicente, J, Moreira, F, Honrado, J, and Guisan, A (2010). Overcoming the rare species modelling paradox: a novel hierarchical framework applied to an Iberian endemic plant. Biological Conservation 143, 2647–2657.

López-Alcaide S, Macip-Ríos R (2011) Effects of climate change in amphibians and reptiles. In ‘Biodiversity Loss in a Changing Planet’. (Eds O Grillo, G Venora) pp. 163–184. (InTech: Rijeka, Croatia)

Marques, A, Martins, IS, Kastner, T, Plutzar, C, Theurl, MC, Eisenmenger, N, Huijbregts, MAJ, Wood, R, Stadler, K, Bruckner, M, Canelas, J, Hilbers, JP, Tukker, A, Erb, K, and Pereira, HM (2019). Increasing impacts of land-use on biodiversity and carbon-sequestration driven by population and economic growth. Nature Ecology & Evolution 3, 628–637.
| Increasing impacts of land-use on biodiversity and carbon-sequestration driven by population and economic growth.Crossref | GoogleScholarGoogle Scholar |

Mijanur-Rahman, KM, and Rakhimov, II (2019). Activity patterns and feeding ecology of the semi-aquatic Varanus flavescens (Reptilia: Varanidae). Russian Journal of Herpetology 26, 91–97.

Naeem, M, Liu, M, Huang, J, Ding, G, Potapov, G, Jung, C, and An, J (2019). Vulnerability of East Asian bumblebee species to future climate and land cover changes. Agriculture, Ecosystems & Environment 277, 11–20.
| Vulnerability of East Asian bumblebee species to future climate and land cover changes.Crossref | GoogleScholarGoogle Scholar |

Nakicenovic N, Alcamo J, Davis G, Vries BD, Fenhann J, Gaffin S, Gregory K, Grubler A, Jung TY, Kram T, La Rovere EL, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A, Rogner HH, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, van Rooijen S, Victor N, Dadi Z (2000) Special report on emissions scenarios. Special report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK.

NCVST (2009) Vulnerability through the eyes of vulnerable: climate change induced uncertainties and Nepal’s development predicaments. (Institute for Social and Environmental Transition-Nepal (ISET-N, Kathmandu) and Institute for Social and Environmental Transition (ISET, Boulder, Colorado) for Nepal Climate Vulnerability Study Team (NCVST), Kathmandu, Nepal)

Ngo, NH, Nguyen, QH, Phan, QT, Tran, MH, Nguyen, QT, Ziegler, T, and Rödder, D (2021). Vulnerability of an endemic tiger gecko (Goniurosaurus huuliensis) to climate change: modeling environmental refugia and implications for in-situ conservation. Salamandra 57, 464–474.

Nobis M (2017) Which suitability maps are useful? Swiss Federal Institute for Forest, Snow and Landscape Research, Zurich, Switzerland. Available at http://purl.oclc.org/wsl/kissmig

Nobis, MP, and Normand, S (2014). KISSMig – a simple model for R to account for limited migration in analyses of species distributions. Ecography 37, 1282–1287.
| KISSMig – a simple model for R to account for limited migration in analyses of species distributions.Crossref | GoogleScholarGoogle Scholar |

Osunbitan, JA, Oyedele, DJ, and Adekalu, KO (2005). Tillage effects on bulk density, hydraulic conductivity and strength of a loamy sand soil in southwestern Nigeria. Soil and Tillage Research 82, 57–64.
| Tillage effects on bulk density, hydraulic conductivity and strength of a loamy sand soil in southwestern Nigeria.Crossref | GoogleScholarGoogle Scholar |

Pearson, RG (2010). Species’ distribution modeling for conservation educators and practitioners. Lessons in Conservation 3, 54–89.

Pearson, RG, Raxworthy, CJ, Nakamura, M, and Townsend Peterson, A (2007). Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography 34, 102–117.
| Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar.Crossref | GoogleScholarGoogle Scholar |

Phillips, SJ (2008). Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007). Ecography 31, 272–278.
| Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007).Crossref | GoogleScholarGoogle Scholar |

Phillips, SJ, Anderson, RP, and Schapire, RE (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231–259.
| Maximum entropy modeling of species geographic distributions.Crossref | GoogleScholarGoogle Scholar |

Pontes-da-Silva, E, Magnusson, WE, Sinervo, B, Caetano, GH, Miles, DB, Colli, GR, Diele-Viegas, LM, Fenker, J, Santos, JC, and Werneck, FP (2018). Extinction risks forced by climatic change and intraspecific variation in the thermal physiology of a tropical lizard. Journal of Thermal Biology 73, 50–60.
| Extinction risks forced by climatic change and intraspecific variation in the thermal physiology of a tropical lizard.Crossref | GoogleScholarGoogle Scholar |

Purwandana, D, Ariefiandy, A, Imansyah, MJ, Seno, A, Ciofi, C, Letnic, M, and Jessop, TS (2016). Ecological allometries and niche use dynamics across Komodo dragon ontogeny. The Science of Nature 103, .
| Ecological allometries and niche use dynamics across Komodo dragon ontogeny.Crossref | GoogleScholarGoogle Scholar |

Radomski, T, Beamer, D, Babineau, A, Wilson, C, Pechmann, J, and Kozak, KH (2022). Finding what you don’t know: testing SDM methods for poorly known species. Diversity and Distributions 28, 1769–1780.
| Finding what you don’t know: testing SDM methods for poorly known species.Crossref | GoogleScholarGoogle Scholar |

Rai KR (2003) Environmental impacts, systematics and distribution of herpetofauna from East Nepal. PhD thesis, Tribhuwan University, Kirtipur, Nepal.

Rayamajhee, V, Guo, W, and Bohara, AK (2021). The impact of climate change on rice production in Nepal. Economics of Disasters and Climate Change 5, 111–134.
| The impact of climate change on rice production in Nepal.Crossref | GoogleScholarGoogle Scholar |

Rodríguez, L, García, JJ, Carreño, F, and Martínez, B (2019). Integration of physiological knowledge into hybrid species distribution modelling to improve forecast of distributional shifts of tropical corals. Diversity and Distributions 25, 715–728.

Sage, RF (2020). Global change biology: a primer. Global Change Biology 26, 3–30.
| Global change biology: a primer.Crossref | GoogleScholarGoogle Scholar |

Scherrer, D, and Guisan, A (2019). Ecological indicator values reveal missing predictors of species distributions. Scientific Reports 9, 3061.

Shadloo, S, Mahmoodi, S, Hosseinzadeh, MS, and Kazemi, SM (2021). Prediction of habitat suitability for the desert monitor (Varanus griseus caspius) under the influence of future climate change. Journal of Arid Environments 186, .
| Prediction of habitat suitability for the desert monitor (Varanus griseus caspius) under the influence of future climate change.Crossref | GoogleScholarGoogle Scholar |

Shah KB, Tiwari S (2004) ‘Herpetofauna of Nepal: a Conservation Companion.’ (IUCN Nepal: Kathmandu, Nepal)

Shrestha TK (2000) ‘Herpetology of Nepal: a field guide to amphibians and reptiles of Trans-Himalayan Region of Asia.’ (Steven Simpson Natural History Books: Hingham, UK)

Sinervo, B, Mendez-De-La-Cruz, F, Miles, DB, Heulin, B, Bastiaans, E, Villagrán-Santa Cruz, M, Lara-Resendiz, R, Martínez-Méndez, N, Calderón-Espinosa, ML, Meza-Lázaro, RN, Gadsden, H, Avila, LJ, Morando, M, De la Riva, IJ, Sepulveda, PV, Rocha, CFD, Ibargüengoytía, N, Puntriano, CA, Massot, M, Lepetz, V, Oksanen, TA, Chapple, DG, Bauer, AM, Branch, WR, Clobert, J, and Sites, JW (2010). Erosion of lizard diversity by climate change and altered thermal niches. Science 328, 894–899.
| Erosion of lizard diversity by climate change and altered thermal niches.Crossref | GoogleScholarGoogle Scholar |

Singh, PB, Mainali, K, Jiang, Z, Thapa, A, Subedi, N, Awan, MN, Ilyas, O, Luitel, H, Zhou, Z, and Hu, H (2020). Projected distribution and climate refugia of endangered Kashmir musk deer Moschus cupreus in greater Himalaya, South Asia. Scientific Reports 10, .
| Projected distribution and climate refugia of endangered Kashmir musk deer Moschus cupreus in greater Himalaya, South Asia.Crossref | GoogleScholarGoogle Scholar |

Subba, B, Sen, S, Ravikanth, G, and Nobis, MP (2018). Direct modelling of limited migration improves projected distributions of Himalayan amphibians under climate change. Biological Conservation 227, 352–360.
| Direct modelling of limited migration improves projected distributions of Himalayan amphibians under climate change.Crossref | GoogleScholarGoogle Scholar |

Thapa, S, Baral, S, Hu, Y, Huang, Z, Yue, Y, Dhakal, M, Jnawali, SR, Chettri, N, Racey, PA, Yu, W, and Wu, Y (2021). Will climate change impact distribution of bats in Nepal Himalayas? A case study of five species. Global Ecology and Conservation 26, .
| Will climate change impact distribution of bats in Nepal Himalayas? A case study of five species.Crossref | GoogleScholarGoogle Scholar |

Thomas, CD, Cameron, A, Green, RE, Bakkenes, M, Beaumont, LJ, Collingham, YC, Erasmus, BFN, De Siqueira, MF, Grainger, A, Hannah, L, Hughes, L, Huntley, B, van Jaarsveld, AS, Midgley, GF, Miles, L, Ortega-Huerta, MA, Townsend Peterson, A, Phillips, OL, and Williams, SE (2004). Extinction risk from climate change. Nature 427, 145–148.
| Extinction risk from climate change.Crossref | GoogleScholarGoogle Scholar |

Trenberth, KE (2011). Changes in precipitation with climate change. Climate Research 47, 123–138.
| Changes in precipitation with climate change.Crossref | GoogleScholarGoogle Scholar |

Tse-ring K, Sharma E, Chettri N, Shrestha A (2010) Climate change vulnerability of mountain ecosystems in the Eastern Himalayas. Climate change impact and vulnerability in the Eastern Himalayas – synthesis report. ICIMOD, Kathmandu, Nepal.

Vickers, M, Manicom, C, and Schwarzkopf, L (2011). Extending the cost-benefit model of thermoregulation: high-temperature environments. The American Naturalist 177, 452–461.
| Extending the cost-benefit model of thermoregulation: high-temperature environments.Crossref | GoogleScholarGoogle Scholar |

Visser G (2004) Varanus flavescens. In ‘Varanoid Lizards of the World’. (Eds ER Pianka, DR King) pp. 179–184. (Indiana University Press: Bloomington, IN, USA)

Warren, R, VanDerwal, J, Price, J, Welbergen, JA, Atkinson, I, Ramirez-Villegas, J, Osborn, TJ, Jarvis, A, Shoo, LP, Williams, SE, and Lowe, J (2013). Quantifying the benefit of early climate change mitigation in avoiding biodiversity loss. Nature Climate Change 3, 678–682.
| Quantifying the benefit of early climate change mitigation in avoiding biodiversity loss.Crossref | GoogleScholarGoogle Scholar |

WCS, CIESIN (2005) Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Footprint Dataset (Geographic) [Data set]. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4M61H5F

Weiskopf, SR, Ledee, OE, and Thompson, LM (2019). Climate change effects on deer and moose in the Midwest. The Journal of Wildlife Management 83, 769–781.
| Climate change effects on deer and moose in the Midwest.Crossref | GoogleScholarGoogle Scholar |

Wickham H (2016) ‘ggplot2: elegant graphics for data analysis.’ (Springer-Verlag: New York, USA)

Zelová, J, Šumbera, R, Okrouhlík, J, and Burda, H (2010). Cost of digging is determined by intrinsic factors rather than by substrate quality in two subterranean rodent species. Physiology & Behavior 99, 54–58.