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

Autores
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
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Estación Experimental Agropecuaria Bariloche
Fil: Lembrechts, Jonas Johan. University of Antwerp. Centre of Excellence Plants and Ecosystems (PLECO); Belgica
Fil: Lenoir, Jonathan. Université de Picardie Jules Verne. UR Ecologie et Dynamique des Systèmes Anthropisés; Francia
Fil: Roth, Nina. Stockholm University. Biogeography and Geomatics, Department of Physical Geography; Suecia
Fil: Hattab, Tarek. Université de Picardie Jules Verne. UR Ecologie et Dynamique des Systèmes Anthropisés; Francia
Fil: Milbau, Ann. Research Institute for Nature and Forest – INBO; Belgica
Fil: Haider, Sylvia. Martin Luther University. Institute of Biology/Geobotany and Botanical Garden; Alemania
Fil: Pellissier, Loïc. ETH Zürich. Department of Environmental Systems Science. Landscape Ecology, Institute of Terrestrial Ecosystems; Suiza
Fil: Pauchard, Aníbal. Universidad de Concepción. Facultad de Ciencias Forestales. Laboratorio de Invasiones Biológicas; Chile
Fil: Ratier Backes, Amanda. Martin Luther University. Institute of Biology/Geobotany and Botanical Garden; Alemania
Fil: Dimarco, Romina Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Núñez, Martín Andrés. Universidad Nacional del Comahue. Consejo Nacional de Investigaciones Cientificas y Tecnicas; Argentina
Fil: Aalto, Juha. University of Helsinki. The Department of Geosciences and Geography; Finlandia
Fil: Nijs, Ivan. Finnish Meteorological Institute; Finlandia
Fuente
Global Ecology and Biogeography 28 (11) : 1578-1596 (Noviembre 2019)
Materia
Bioclimatología
Microclima
Factores Ambientales
Cambio Climático
Bioclimatology
Microclimate
Environmental Factors
Climate Change
Modelos de Distribución de Especies
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/8222
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spelling Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensingLembrechts, Jonas JohanLenoir, JonathanRoth, NinaHattab, TarekMilbau, AnnHaider, SylviaPellissier, LoïcPauchard, AníbalRatier Backes, AmandaDimarco, Romina DanielaNúñez, Martín AndrésAalto, JuhaNijs, IvanBioclimatologíaMicroclimaFactores AmbientalesCambio ClimáticoBioclimatologyMicroclimateEnvironmental FactorsClimate ChangeModelos de Distribución de EspeciesAlthough 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.Estación Experimental Agropecuaria BarilocheFil: Lembrechts, Jonas Johan. University of Antwerp. Centre of Excellence Plants and Ecosystems (PLECO); BelgicaFil: Lenoir, Jonathan. Université de Picardie Jules Verne. UR Ecologie et Dynamique des Systèmes Anthropisés; FranciaFil: Roth, Nina. Stockholm University. Biogeography and Geomatics, Department of Physical Geography; SueciaFil: Hattab, Tarek. Université de Picardie Jules Verne. UR Ecologie et Dynamique des Systèmes Anthropisés; FranciaFil: Milbau, Ann. Research Institute for Nature and Forest – INBO; BelgicaFil: Haider, Sylvia. Martin Luther University. Institute of Biology/Geobotany and Botanical Garden; AlemaniaFil: Pellissier, Loïc. ETH Zürich. Department of Environmental Systems Science. Landscape Ecology, Institute of Terrestrial Ecosystems; SuizaFil: Pauchard, Aníbal. Universidad de Concepción. Facultad de Ciencias Forestales. Laboratorio de Invasiones Biológicas; ChileFil: Ratier Backes, Amanda. Martin Luther University. Institute of Biology/Geobotany and Botanical Garden; AlemaniaFil: Dimarco, Romina Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Núñez, Martín Andrés. Universidad Nacional del Comahue. Consejo Nacional de Investigaciones Cientificas y Tecnicas; ArgentinaFil: Aalto, Juha. University of Helsinki. The Department of Geosciences and Geography; FinlandiaFil: Nijs, Ivan. Finnish Meteorological Institute; FinlandiaWiley2020-11-09T17:07:35Z2020-11-09T17:07:35Z2019-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/8222https://onlinelibrary.wiley.com/doi/abs/10.1111/geb.129741466-822X1466-8238https://doi.org/10.1111/geb.12974Global Ecology and Biogeography 28 (11) : 1578-1596 (Noviembre 2019)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:45:03Zoai:localhost:20.500.12123/8222instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:45:04.175INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing
title Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing
spellingShingle Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing
Lembrechts, Jonas Johan
Bioclimatología
Microclima
Factores Ambientales
Cambio Climático
Bioclimatology
Microclimate
Environmental Factors
Climate Change
Modelos de Distribución de Especies
title_short Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing
title_full Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing
title_fullStr Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing
title_full_unstemmed Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing
title_sort Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing
dc.creator.none.fl_str_mv 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
author Lembrechts, Jonas Johan
author_facet 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
author_role author
author2 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
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Bioclimatología
Microclima
Factores Ambientales
Cambio Climático
Bioclimatology
Microclimate
Environmental Factors
Climate Change
Modelos de Distribución de Especies
topic Bioclimatología
Microclima
Factores Ambientales
Cambio Climático
Bioclimatology
Microclimate
Environmental Factors
Climate Change
Modelos de Distribución de Especies
dc.description.none.fl_txt_mv 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.
Estación Experimental Agropecuaria Bariloche
Fil: Lembrechts, Jonas Johan. University of Antwerp. Centre of Excellence Plants and Ecosystems (PLECO); Belgica
Fil: Lenoir, Jonathan. Université de Picardie Jules Verne. UR Ecologie et Dynamique des Systèmes Anthropisés; Francia
Fil: Roth, Nina. Stockholm University. Biogeography and Geomatics, Department of Physical Geography; Suecia
Fil: Hattab, Tarek. Université de Picardie Jules Verne. UR Ecologie et Dynamique des Systèmes Anthropisés; Francia
Fil: Milbau, Ann. Research Institute for Nature and Forest – INBO; Belgica
Fil: Haider, Sylvia. Martin Luther University. Institute of Biology/Geobotany and Botanical Garden; Alemania
Fil: Pellissier, Loïc. ETH Zürich. Department of Environmental Systems Science. Landscape Ecology, Institute of Terrestrial Ecosystems; Suiza
Fil: Pauchard, Aníbal. Universidad de Concepción. Facultad de Ciencias Forestales. Laboratorio de Invasiones Biológicas; Chile
Fil: Ratier Backes, Amanda. Martin Luther University. Institute of Biology/Geobotany and Botanical Garden; Alemania
Fil: Dimarco, Romina Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Núñez, Martín Andrés. Universidad Nacional del Comahue. Consejo Nacional de Investigaciones Cientificas y Tecnicas; Argentina
Fil: Aalto, Juha. University of Helsinki. The Department of Geosciences and Geography; Finlandia
Fil: Nijs, Ivan. Finnish Meteorological Institute; Finlandia
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-11
2020-11-09T17:07:35Z
2020-11-09T17:07:35Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/8222
https://onlinelibrary.wiley.com/doi/abs/10.1111/geb.12974
1466-822X
1466-8238
https://doi.org/10.1111/geb.12974
url 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
identifier_str_mv 1466-822X
1466-8238
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Global Ecology and Biogeography 28 (11) : 1578-1596 (Noviembre 2019)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.558318

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