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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/8222
Ver los metadatos del registro completo
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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/restrictedAccess2025-09-04T09:48:40Zoai: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:l2025-09-04 09:48:41.381INTA 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 |
12.623145 |