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Klinges, David H.  
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Baecher, J. Alex  
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Lembrechts, Jonas J.  
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Maclean, Ilya M. D.  
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Lenoir, Jonathan  
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Greiser, Caroline  
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Ashcroft, Michael  
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Evans, Luke J.  
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Kearney, Michael R.  
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Aalto, Juha  
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Barrio, Isabel C.  
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De Frenne, Pieter  
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Guillemot, Joannès  
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Hylander, Kristoffer  
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Jucker, Tommaso  
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Kopecký, Martin  
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Luoto, Miska  
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Macek, Martin  
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Nijs, Ivan  
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Urban, Josef  
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Brink, Liesbeth van den  
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Vangansbeke, Pieter  
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Oppen, Jonathan Von  
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Wild, Jan  
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Boike, Julia  
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Canessa, Rafaella  
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Nosetto, Marcelo Daniel  
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Rubtsov, Alexey  
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Sallo Bravo, Jhonatan  
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Scheffers, Brett R.  
dc.date.available
2024-11-06T14:40:24Z  
dc.date.issued
2024-06  
dc.identifier.citation
Klinges, David H.; Baecher, J. Alex; Lembrechts, Jonas J.; Maclean, Ilya M. D.; Lenoir, Jonathan; et al.; Proximal microclimate: Moving beyond spatiotemporal resolution improves ecological predictions; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 33; 9; 6-2024; 1-16  
dc.identifier.issn
1466-822X  
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http://hdl.handle.net/11336/247484  
dc.description.abstract
Aim The scale of environmental data is often defined by their extent (spatial area, temporal duration) and resolution (grain size, temporal interval). Although describing climate data scale via these terms is appropriate for most meteorological applications, for ecology and biogeography, climate data of the same spatiotemporal resolution and extent may differ in their relevance to an organism. Here, we propose that climate proximity, or how well climate data represent the actual conditions that an organism is exposed to, is more important for ecological realism than the spatiotemporal resolution of the climate data. Location Temperature comparison in nine countries across four continents; ecological case studies in Alberta (Canada), Sabah (Malaysia) and North Carolina/Tennessee (USA). Time Period 1960–2018. Major Taxa Studied Case studies with flies, mosquitoes and salamanders, but concepts relevant to all life on earth. Methods We compare the accuracy of two macroclimate data sources (ERA5 and WorldClim) and a novel microclimate model (microclimf) in predicting soil temperatures. We then use ERA5, WorldClim and microclimf to drive ecological models in three case studies: temporal (fly phenology), spatial (mosquito thermal suitability) and spatiotemporal (salamander range shifts) ecological responses. Results For predicting soil temperatures, microclimf had 24.9% and 16.4% lower absolute bias than ERA5 and WorldClim respectively. Across the case studies, we find that increasing proximity (from macroclimate to microclimate) yields a 247% improvement in performance of ecological models on average, compared to 18% and 9% improvements from increasing spatial resolution 20-fold, and temporal resolution 30-fold respectively. Main Conclusions We propose that increasing climate proximity, even if at the sacrifice of finer climate spatiotemporal resolution, may improve ecological predictions. We emphasize biophysically informed approaches, rather than generic formulations, when quantifying ecoclimatic relationships. Redefining the scale of climate through the lens of the organism itself helps reveal mechanisms underlying how climate shapes ecological systems.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BIOPHYSICAL ECOLOGY  
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CLIMATE CHANGE  
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ECOPHYSIOLOGY  
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MACROCLIMATE  
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MICROCLIMATE  
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NONLINEARITY  
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RESOLUTION  
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SPECIES DISTRIBUTION MODEL  
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Otras Ciencias Naturales y Exactas  
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Otras Ciencias Naturales y Exactas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Proximal microclimate: Moving beyond spatiotemporal resolution improves ecological predictions  
dc.type
info:eu-repo/semantics/article  
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info:ar-repo/semantics/artículo  
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info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-11-04T09:38:20Z  
dc.journal.volume
33  
dc.journal.number
9  
dc.journal.pagination
1-16  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Klinges, David H.. University of Florida; Estados Unidos  
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Fil: Baecher, J. Alex. University of Florida; Estados Unidos  
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Fil: Lembrechts, Jonas J.. Utrecht University; Países Bajos. University of Antwerp; Bélgica  
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Fil: Maclean, Ilya M. D.. University of Exeter; Reino Unido  
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Fil: Lenoir, Jonathan. Universite de Picardie Jules Verne (universite de Picardie Jules V);  
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Fil: Greiser, Caroline. Stockholm University Of The Arts (uniarts); . Sveriges Lantbruksuniversitet (slu);  
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Fil: Ashcroft, Michael. University of Wollongong; Australia  
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Fil: Evans, Luke J.. University of Florida; Estados Unidos  
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Fil: Kearney, Michael R.. University of Melbourne; Australia  
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Fil: Aalto, Juha. Finnish Meteorological Institute; Finlandia  
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Fil: Barrio, Isabel C.. Agricultural University of Iceland; Islandia  
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Fil: De Frenne, Pieter. University of Ghent; Bélgica  
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Fil: Guillemot, Joannès. Universidade de Sao Paulo; Brasil. Université Montpellier II; Francia. Instituto National de Recherches Agronomiques, Alimetation Et Environnement. Centre Nouvelle - Aquitaine Bordeaux. Ecolegie Et Biodiversite. Umr - Biogeo; Francia  
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Fil: Hylander, Kristoffer. Stockholm University Of The Arts (uniarts);  
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Fil: Jucker, Tommaso. University of Bristol; Reino Unido  
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Fil: Kopecký, Martin. Czech Academy of Sciences; República Checa. University of Life Sciences Prague; República Checa  
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Fil: Luoto, Miska. University of Helsinki; Finlandia  
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Fil: Macek, Martin. Czech Academy of Sciences; República Checa  
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Fil: Nijs, Ivan. Universiteit Antwerp; Bélgica  
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Fil: Urban, Josef. Mendel University in Brno; República Checa  
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Fil: Brink, Liesbeth van den. Universidad de Concepción; Chile. Eberhard Karls Universität Tübingen; Alemania  
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Fil: Vangansbeke, Pieter. University of Ghent; Bélgica  
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Fil: Oppen, Jonathan Von. University Aarhus; Dinamarca  
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Fil: Wild, Jan. Czech Academy of Sciences; República Checa  
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Fil: Boike, Julia. Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; Alemania. Humboldt-Universität zu Berlin; Alemania  
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Fil: Canessa, Rafaella. University of Tübingen; Alemania. German Centre for Integrative Biodiversity Research Halle-JenaLeipzig; Alemania. Martin Luther University Halle-Wittenberg; Alemania  
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Fil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Universidad Nacional de Entre Ríos; Argentina  
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Fil: Rubtsov, Alexey. Siberian Federal University; Rusia  
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Fil: Sallo Bravo, Jhonatan. Universidad Nacional de San Antonio Abad del Cusco; Perú  
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Fil: Scheffers, Brett R.. University of Florida; Estados Unidos  
dc.journal.title
Global Ecology and Biogeography  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/geb.13884  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/geb.13884