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Advances in Microclimate Ecology Arising from Remote Sensing
pmid: 30651180
handle: 11572/231489 , 10449/54465 , 11585/722484 , 1854/LU-8588523
Microclimates at the land-air interface affect the physiological functioning of organisms which, in turn, influences the structure, composition, and functioning of ecosystems. We review how remote sensing technologies that deliver detailed data about the structure and thermal composition of environments are improving the assessment of microclimate over space and time. Mapping landscape-level heterogeneity of microclimate advances our ability to study how organisms respond to climate variation, which has important implications for understanding climate-change impacts on biodiversity and ecosystems. Interpolating in situ microclimate measurements and downscaling macroclimate provides an organism-centered perspective for studying climate-species interactions and species distribution dynamics. We envisage that mapping of microclimate will soon become commonplace, enabling more reliable predictions of species and ecosystem responses to global change.
- University of Cambridge United Kingdom
- University of Trento Italy
- University of Trento Italy
- University of Picardie Jules Verne France
- Fondazione Edmund Mach Italy
FINE-GRAIN, DIVERSITY, biodiversity, climate change ecology, light detection and ranging, LiDAR, thermal imaging, topography, vegetation cover, Settore BIO/03 - BOTANICA AMBIENTALE E APPLICATA, light detection and ranging, Fine grain, LIDAR, Models, CANOPY, thermal imaging, Climate change, HETEROGENEITY, biodiversity, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Lidar, Diversity, CLIMATE-CHANGE, Ecology, Biodiversity, climate change ecology, LiDAR, Plant communities, Evolution, [SDE.MCG]Environmental Sciences/Global Changes, Climate Change, MODELS, [SDV.BID]Life Sciences [q-bio]/Biodiversity, vegetation cover, Air temperatures, Behavior and Systematics, topography, AIR TEMPERATURES, biodiversity; remote sensing, PLANT-COMMUNITIES, Ecosystem, Canopy, Microclimate, Earth and Environmental Sciences, FOS: Biological sciences, Remote Sensing Technology, ECOSYSTEM, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Heterogeneity
FINE-GRAIN, DIVERSITY, biodiversity, climate change ecology, light detection and ranging, LiDAR, thermal imaging, topography, vegetation cover, Settore BIO/03 - BOTANICA AMBIENTALE E APPLICATA, light detection and ranging, Fine grain, LIDAR, Models, CANOPY, thermal imaging, Climate change, HETEROGENEITY, biodiversity, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Lidar, Diversity, CLIMATE-CHANGE, Ecology, Biodiversity, climate change ecology, LiDAR, Plant communities, Evolution, [SDE.MCG]Environmental Sciences/Global Changes, Climate Change, MODELS, [SDV.BID]Life Sciences [q-bio]/Biodiversity, vegetation cover, Air temperatures, Behavior and Systematics, topography, AIR TEMPERATURES, biodiversity; remote sensing, PLANT-COMMUNITIES, Ecosystem, Canopy, Microclimate, Earth and Environmental Sciences, FOS: Biological sciences, Remote Sensing Technology, ECOSYSTEM, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Heterogeneity
