Documentos de Wisz M.S. | REDI

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Mostrando 5 resultados de: 5

Subtipo de publicación

Publisher

Diversity and Distributions(2)

Biological Conservation(1)

Journal of Applied Ecology(1)

Área temáticas

Programación informática, programas, datos, seguridad(2)

Agricultura y tecnologías afines(1)

Área de conocimiento

Biodiversidad(2)

Aprendizaje automático(1)

Objetivos de Desarrollo Sostenible

ODS 15: Vida de ecosistemas terrestres(5)

ODS 17: Alianzas para lograr los objetivos(4)

ODS 13: Acción por el clima(2)

ODS 4: Educación de calidad(2)

ODS 14: Vida submarina(1)

Año de Publicación

Origen

Palabras Claves

Model comparison(2)

species distribution model(2)

Climate model(1)

Effects of sample size on the performance of species distribution models

Abstract: A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others t

Palabras claves:

ecological niche model, maxent, Model comparison, OM-GARP, sample size, species distribution model

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.

Projecting future distribution of the seagrass Zostera noltii under global warming and sea level rise

Abstract: In future decades, coastal ecosystems are expected to be exposed to increased risk of experiencing a

Palabras claves:

Climate model, Global warming, habitat suitability models, Hydromorphological model, Projections, Sea level rise, Seawater surface temperature

Borja A., Chust G., del Campo A., Garmendia J.M., Mireia Valle, Olsen S.M., Wisz M.S.

Novel methods improve prediction of species' distributions from occurrence data

Abstract: Prediction of species' distributions is central to diverse applications in ecology, evolution and co

Palabras claves:

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.

Sensitivity of predictive species distribution models to change in grain size

Abstract: Predictive species distribution modelling (SDM) has become an essential tool in biodiversity conserv

Palabras claves:

Environmental grain, Model comparison, natural history collections, Niche-based modelling, Pbkp_redictive performance, Presence-only data, resolution, sample size, spatial scale, Species distribution modelling

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.

The influence of spatial errors in species occurrence data used in distribution models

Abstract: 1. Species distribution modelling is used increasingly in both applied and theoretical research to p

Palabras claves:

ERROR, Geo-referencing, Locality points, Pbkp_redictive modelling algorithms, species distribution model, UNCERTAINTY

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.