Proximal Microclimate: Moving Beyond Spatiotemporal Resolution Improves Ecological Predictions
Klinges DH, Baecher JA, Lembrechts JJ, Maclean IM, Lenoir J, Greiser C, Ashcroft M, Evans LJ, Kearney MR, Aalto J, Barrio IC, De Frenne P, Guillemot J, Hylander K, Jucker T, Kopecky M, Luoto M, Macek M, Nijs I, Urban J, van den Brink L, Vangansbeke P, Von Oppen J, Wild J, Boike J, Canessa R, Nosetto M, Rubtsov A, Sallo-Bravo J, Scheffers BR. 2024. Proximal Microclimate: Moving Beyond Spatiotemporal Resolution Improves Ecological Predictions. Global Ecology and Biogeography. :1-16
ABSTRACT: 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. Temperature comparison in nine countries across four continents; ecological case studies in Alberta (Canada), Sabah (Malaysia) and North Carolina/Tennessee (USA).
- Type
- Journal Article
- Authors
- Klinges, David; Baecher, J; Lembrechts, Jonas; Maclean, Ilya; Lenoir, Jonathan; Greiser, Caroline; Ashcroft, Michael; Evans, Luke; Kearney, Michael; Aalto, Juha; Barrio, Isabel; De Frenne, Pieter; Guillemot, Joannes; Hylander, Kirstoffer; Jucker, Tommaso; Kopecky, Martin; Luoto, Miska; Macek, Martin; Nijs, Ivan; Urban, Josef; van den Brink, Liesbeth; Vangansbeke, Pieter; Von Oppen, Jonathan; Wild, Jan; Boike, Julia; Canessa, Rafaella; Nosetto, Marcelo; Rubtsov, Alexey; Sallo-Bravo, Jhonatan; Scheffers, Brett
- Units
- GRSM
- Keywords
- biophysical ecology, climate change, ecophysiology, GIS, GRSM-02139, macroclimate, microclimate, nonlinearity, Plethodon jordani, resolution, salamanders, species distribution model