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Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing

Although species distribution models (SDMs) traditionally link species occurrences to free‐air temperature data at coarse spatio‐temporal resolution, the distribution of organisms might instead be driven by temperatures more proximal to their habitats. Several solutions are currently available, such...

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Autores principales: Lembrechts, Jonas Johan, Lenoir, Jonathan, Roth, Nina, Hattab, Tarek, Milbau, Ann, Haider, Sylvia, Pellissier, Loïc, Pauchard, Aníbal, Ratier Backes, Amanda, Dimarco, Romina Daniela, Núñez, Martín Andrés, Aalto, Juha, Nijs, Ivan
Formato: info:ar-repo/semantics/artículo
Lenguaje:Inglés
Publicado: Wiley 2020
Materias:
Bioclimatología
Microclima
Factores Ambientales
Cambio Climático
Bioclimatology
Microclimate
Environmental Factors
Climate Change
Modelos de Distribución de Especies
Acceso en línea:http://hdl.handle.net/20.500.12123/8222
https://onlinelibrary.wiley.com/doi/abs/10.1111/geb.12974
https://doi.org/10.1111/geb.12974
Sumario:Although species distribution models (SDMs) traditionally link species occurrences to free‐air temperature data at coarse spatio‐temporal resolution, the distribution of organisms might instead be driven by temperatures more proximal to their habitats. Several solutions are currently available, such as downscaled or interpolated coarse‐grained free‐air temperatures, satellite‐measured land surface temperatures (LST) or in‐situ‐measured soil temperatures. A comprehensive comparison of temperature data sources and their performance in SDMs is, however, currently lacking.

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