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References

Biodiversity Information Serving Our Nation (BISON). (n.d.). North American species occurrence data & maps Explore & download North     American species occurrence data & maps. Retrieved from https://bison.usgs.gov/#home

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CMIP Phase 6. (2020, February 10). Retrieved from https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6

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Duan, R.-Y., Kong, X.-Q., Huang, M.-Y., Fan, W.-Y., & Wang, Z.-G. (2014). The Predictive Performance and Stability of Six Species Distribution   Models. PLoS ONE, 9(11). doi: 10.1371/journal.pone.0112764

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Fitzpatrick, M. C., Gotelli, N. J., & Ellison, A. M. (2013). MaxEnt versus MaxLike: empirical comparisons with ant species   distributions. Ecosphere, 4(5). doi: 10.1890/es13-00066.1

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GFDL. (n.d.). Coupled Physical Model, CM3. Retrieved from https://www.gfdl.noaa.gov/coupled-physical-model-cm3/

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Hopkins, G. R., French, S. S., & Brodie, E. D. (2017). Interacting stressors and the potential for adaptation in a changing world: responses of   populations and individuals. Royal Society Open Science, 4(6), 161057. doi: 10.1098/rsos.161057

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Kalbach, M. (2014). Taricha granulosa. photograph. Retrieved from   https://www.fws.gov/refuge/willapa/wildlife_and_habitat/rough_skinned_newt.html

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Kalboussi, M., & Achour, H. (2017). Modelling the spatial distribution of snake species in northwestern Tunisia using maximum entropy (Maxent)   and Geographic Information System (GIS). Journal of Forestry Research, 29(1), 233–245. doi: 10.1007/s11676-017-0436-1

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Kitali, A. E., Kidando, E., Sando, T., Moses, R., & Ozguven, E. E. (2017). Evaluating Aging Pedestrian Crash Severity with Bayesian   Complementary Log–Log Model for Improved Prediction Accuracy. Transportation Research Record: Journal of the Transportation Research   Board, 2659(1), 155–163. doi: 10.3141/2659-17

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Marks, S. B., & Doyle, D. (2020). Taricha granulosa. Retrieved from https://amphibiaweb.org/species/4288

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Steven J. Phillips, Robert P. Anderson and Robert E. Schapire, Maximum entropy modeling of species geographic distributions. Ecological   Modelling, Vol 190/3-4 pp 231-259, 2006.

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Swerhun, K. (2007). Rough-skinned newts – surprisingly toxic. photograph, Whistler. Retrieved   from https://www.piquenewsmagazine.com/whistler/rough-skinned-newts-andndash-surprisingly-toxic/Content?oid=2158254

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U.S. Geological Survey Gap Analysis Program, 20160513, GAP/LANDFIRE National Terrestrial Ecosystems 2011: U.S. Geological Survey,   https://doi.org/10.5066/F7ZS2TM0.

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Van Horn, K. (2015, August 14). Which Link Function - Logit, Probit, or Cloglog? Retrieved from https://bayesium.com/which-link-function-logit-   probit-or-cloglog/

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WASHINGTON DEPARTMENT OF FISH AND WILDLIFE. (2015). Rough-skinned newt’s skin produces toxin, so don’t touch. photograph,   Bellingham. Retrieved from https://www.bellinghamherald.com/living/magazine/article30636141.html

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Wotton, B. M., Nock, C. A., & Flannigan, M. D. (2010). Forest fire occurrence and climate change in Canada. International Journal of Wildland   Fire,19(3), 253-271.

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