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Diversity and Distributions(2)
Ecography(2)
Journal of Applied Ecology(2)
Scientific Reports(2)
Biological Conservation(1)
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Ecología(8)
Economía de la tierra y la energía(4)
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Temas específicos de la historia natural de las plantas(3)
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A new spin on a compositionalist predictive modelling framework for conservation planning: A tropical case study in Ecuador
ArticleAbstract: Knowledge about spatial biodiversity patterns is a basic criterion for reserve network design. AlthoPalabras claves:Community-level modelling, natural history collections, Reserve network design, Richness hotspots strategy, species richness patterns, Tropical areasAutores:de la Estrella M., Felicísimo M., Guisan A., Jesús Muñoz, Mateo R.G.Fuentes:scopusClimate threat on the Macaronesian endemic bryophyte flora
ArticleAbstract: Oceanic islands are of fundamental importance for the conservation of biodiversity because they exhiPalabras claves:Autores:Aranda S.C., Borges P.A.V., Dirkse G., Gabriel R., Gonzalez-Mancebo J.M., Guisan A., Jesús Muñoz, Marquet A., Mateo R.G., Patiño J., Sim-Sim M., Vanderpoorten A., Zanatta F.Fuentes:scopusBryophytes are predicted to lag behind future climate change despite their high dispersal capacities
ArticleAbstract: The extent to which species can balance out the loss of suitable habitats due to climate warming byPalabras claves:Autores:Baurain D., Broennimann O., Collart F., Engler R., Guisan A., Jesús Muñoz, Mateo R.G., Papp B., Vanderpoorten A., Zanatta F.Fuentes:scopusDo stacked species distribution models reflect altitudinal diversity patterns?
ArticleAbstract: The objective of this study was to evaluate the performance of stacked species distribution models iPalabras claves:Autores:Felicísimo M., Guisan A., Jesús Muñoz, Mateo R.G., Pottier J.Fuentes:scopusEffects 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:scopusExploring the usefulness of scenario archetypes in science-policy processes: Experience across IPBES assessments
ArticleAbstract: Scenario analyses have been used in multiple science-policy assessments to better understand complexPalabras claves:assessment, Biodiversity, Decision Making, Ecosystem Services, Futures, Nature, REGIONAL, ScenariosAutores:Anticamara J.A., Arneth A., Badola R., Biggs R., Blanchard R., Brotons L., Cantele M., Coetzer K., Dasgupta R., Den Belder E., Ghosh S., Guisan A., Gundimeda H., Hamann M., Harmáčková Z.V., Harrison P.A., Hashimoto S., Hauck J., Klatt B.J., Kok K., Krug R.M., Mireia Valle, Niamir A., Okayasu S., O’Farrell P., Palomo I., Pereira L.M., Riordan P., Santos-Martín F., Selomane O., Shin Y.J., Sitas N.Fuentes:scopusMaking better biogeographical predictions of species' distributions
ReviewAbstract: 1. Biogeographical models of species' distributions are essential tools for assessing impacts of chaPalabras claves:Artificial data, autocorrelation, Community and diversity modelling, Errors and uncertainties, Generalized regressions, interactions, Niche-based modelAutores:Austin M., Ferrier S., Guisan A., Hastie T., Lehmann A., Overton J.M.C., Richard J. AspinallFuentes: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: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: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:scopus