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Article(4)
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scopus(4)
Genetic and Ecogeographic Controls on Species Cohesion in Australia’s Most Diverse Lizard Radiation
ArticleAbstract: Species vary extensively in geographic range size and climatic niche breadth. If range limits are prPalabras claves:Climatic niche breadth, Geographic range size, Isolation by distance, Macroecology, speciation, species delimitationAutores:Donnellan S.C., Grundler M.R., María Raquel Marchán-Rivadeneira, Moritz C., Prates I., Rabosky D.L., Singhal S.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:scopusNovel 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