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Journal Article

Remote sensing restores predictability of ectotherm body temperature in the world’s forests

Adam C. Algar; Kate Morley; Doreen S. Boyd
Global Ecology and Biogeography · Vol. 27, Issue 12 · pp. 1412-1425 · 2018

Abstract

Aim Rising global temperatures are predicted to increase ectotherms’ body temperatures, benefitting some species but threatening others. Biophysical models predict a key role for shade in buffering these effects, but the difficulty of measuring shade across broad spatial extents limits predictions of ectotherms’ thermal futures at the global scale. Here, we extend biophysical models of ectotherm body temperature to include effects of forest canopy shade, via leaf area index, and test whether considering remotely‐sensed canopy density improves predictions of body temperature variation in heavily shaded habitats. Location Worldwide. Time period 1990–2010. Major taxa studied Lizards. Methods We test predictions from biophysical ecological theory for how body temperature should vary with microclimate for 269 lizard populations across open, semi‐open and closed habitats worldwide. We extend existing biophysical models to incorporate canopy shade effects via leaf area index, test whether body temperature varies with canopy density as predicted by theory, and evaluate the extent to which incorporating canopy density improves model performance in heavily shaded areas. Results We find that body temperatures in open habitats, like deserts, vary with air temperature and incident solar radiation as predicted by biophysical equations, but these relationships break down in forests, where body temperatures become unpredictable. Incorporating leaf area index into our models revealed lower body temperatures in more heavily shaded environments, restoring the predictability of body temperature in forests. Conclusions Although biophysical ecological theory can predict ectotherm body temperature in open habitats, like deserts, these relationships decay in closed forests. Models incorporating remotely‐sensed data on canopy density improved predictability of body temperatures in these habitats, providing an avenue to incorporate canopy shade effects into predictions of animals’ vulnerability to climate change. These results highlight the thermal threat of changes in canopy structure and loss of forest cover for the world's ectotherms.

Bibliographic Information

JournalGlobal Ecology and Biogeography
PublisherWiley
Publication Date2018-12-01
Publication Year2018
Volume27
Issue12
Pages1412-1425
Document TypeJournal Article
Print ISSN1466-822X
eISSN1466-8238
DOI10.1111/geb.12811
SubjectEcology & Organismal Biology

Access Information

NARA Access Coverage1998-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/14668238
Publisher PageOpen Publisher Page
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