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Engineering a future for amphibians under climate change
ArticleAbstract: 1. Altered global climates in the 21st century pose serious threats for biological systems and practPalabras claves:Adaptation management, Desiccation, hydroperiod, MICROCLIMATE, MICROHÁBITAT, Refuge, restoration, Thermal stressAutores:Andres Merino-Viteri, Bishop P.J., Corn P.S., Donnelly M.A., Dovey L., Griffiths R.A., Herbert S.M., Hero J.M., Lowe K., Mahony M., Mccallum H., Mcmenamin S.K., Murray K.A., Olson D.H., Shoo L.P., Shuker J.D., Simpkins C., Skerratt L.F., Stratford D., Terhivuo J., Van Sluys M., Williams S.E.Fuentes:googlescopusEffects of sample size on the performance of species distribution models
ArticleAbstract: A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others tPalabras claves:ecological niche model, maxent, Model comparison, OM-GARP, sample size, species distribution modelAutores:B. A. Loiselle, Dudík M., Elith J., Ferrier S., Graham C.H., Guisan A., Huettmann F., J. Hijmans R., Leathwick J.R., Lehmann A., Li J., Lohmann L.G., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M.C., Phillips S.J., Richardson K.S., Scachetti-Pereira R., Schapire R.E., Soberon J., Townsend Peterson A., Williams S.E., Wisz M.S., Zimmermann N.E.Fuentes:scopusThe influence of spatial errors in species occurrence data used in distribution models
ArticleAbstract: 1. Species distribution modelling is used increasingly in both applied and theoretical research to pPalabras claves:ERROR, Geo-referencing, Locality points, Pbkp_redictive modelling algorithms, species distribution model, UNCERTAINTYAutores:Anderson R.P., B. A. Loiselle, Dudk M., Elith J., Ferrier S., Graham C.H., Guisan A., Huettmann F., J. Hijmans R., Leathwick J.R., Lehmann A., Li J., Lohmann L.G., Loiselle B., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M.C., Pereira R.S., Phillips S.J., Richardson K.S., Schapire R.E., Soberon J., Townsend Peterson A., Williams S.E., Wisz M.S., Zimmermann N.E.Fuentes:scopusSensitivity of predictive species distribution models to change in grain size
ArticleAbstract: Predictive species distribution modelling (SDM) has become an essential tool in biodiversity conservPalabras claves:Environmental grain, Model comparison, natural history collections, Niche-based modelling, Pbkp_redictive performance, Presence-only data, resolution, sample size, spatial scale, Species distribution modellingAutores:B. A. Loiselle, Dudík M., Elith J., Ferrier S., Graham C.H., Guisan A., Huettmann F., J. Hijmans R., Lehmann A., Li J., Lohmann L.G., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M.C., Phillips S.J., Richardson K.S., Scachetti-Pereira R., Schapire R.E., Townsend Peterson A., Williams S.E., Wisz M.S., Zimmermann N.E.Fuentes:scopusStepping inside the niche: Microclimate data are critical for accurate assessment of species' vulnerability to climate change
ArticleAbstract: To assess a species' vulnerability to climate change, we commonly use mapped environmental data thatPalabras claves:Climate Change, Exposure, sensitivity, Spatial weather layers, vulnerabilityAutores:Andres Merino-Viteri, Phillips B., Storlie C., VanDerWal J., Welbergen J., Williams S.E.Fuentes:googlescopusNovel methods improve prediction of species' distributions from occurrence data
ArticleAbstract: Prediction of species' distributions is central to diverse applications in ecology, evolution and coPalabras claves:Autores:B. A. Loiselle, Dudík M., Elith J., Ferrier S., Guisan A., H. Graham C., Huettmann F., J. Hijmans R., J. Phillips S., Lehmann A., Li J., Lohmann L.G., Manion G., McC. M. Overton J., Moritz C., Nakamura M., Nakazawa Y., P. Anderson R., R. Leathwick J., Richardson K.S., Scachetti-Pereira R., Schapire R.E., Soberon J., Townsend Peterson A., Williams S.E., Wisz M.S., Zimmermann N.E.Fuentes:scopus