Proximal microclimate: Moving beyond spatiotemporal resolution improves ecological predictions Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1111/geb.13884
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/geb.13884
- OA Status
- green
- Cited By
- 22
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400099412
Raw OpenAlex JSON
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https://openalex.org/W4400099412Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/geb.13884Digital Object Identifier
- Title
-
Proximal microclimate: Moving beyond spatiotemporal resolution improves ecological predictionsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-26Full publication date if available
- Authors
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David H. Klinges, J. Alex Baecher, Jonas J. Lembrechts, Ilya M. D. Maclean, Jonathan Lenoir, Caroline Greiser, Michael B. Ashcroft, Luke J. Evans, Michael Kearney, Juha Aalto, Isabel C. Barrio, Pieter De Frenne, Joannès Guillemot, Kristoffer Hylander, Tommaso Jucker, Martin Kopecký, Miska Luoto, Martin Macek, Ivan Nijs, Josef Urban, Liesbeth van den Brink, Pieter Vangansbeke, Jonathan von Oppen, Jan Wild, Julia Boike, Rafaella Canessa, Marcelo D. Nosetto, Alexey V. Rubtsov, Jhonatan Sallo‐Bravo, Brett R. ScheffersList of authors in order
- Landing page
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https://doi.org/10.1111/geb.13884Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://u-picardie.hal.science/hal-04630607Direct OA link when available
- Concepts
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Microclimate, Ecology, Environmental science, Geography, Physical geography, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
- Citations by year (recent)
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2025: 19, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
66Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.landing_page_url | https://doi.org/10.1111/geb.13884 |
| publication_date | 2024-06-26 |
| publication_year | 2024 |
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