High resolution thermal remote sensing and the limits of species' tolerance

PeerJ. 2022 Sep 28:10:e13911. doi: 10.7717/peerj.13911. eCollection 2022.

Abstract

Extinction risks for many insect species, particularly across very broad spatial extents, have been linked to the growing frequency and severity of temperatures that exceed the boundaries of their realized niches. Measurement and mitigation of such impacts is hindered by the availability of high-resolution measurements of species-specific severity of extreme weather, especially temperature. While techniques enabling interpolation of broad-scale remote sensing metrics are vital for such efforts, direct remote sensing measurements of thermal conditions could improve habitat management by providing detailed insights that interpolative approaches cannot. Advances in unmanned aerial vehicle (UAV) technology have created opportunities to better evaluate the role of microclimates in local species extinctions. Here, we develop a method to create high-resolution maps of microclimates using UAV and thermal imaging technology that use species' realized niche boundaries to assess potential effects of severity of extreme temperatures. We generated air temperature maps (5 cm resolution) and canopy height maps (1 cm resolution) for 15 sites in a rare alvar ecosystem in eastern Ontario. We validated these remote sensing observations against independent, in situ temperature observations using iButtons. Temperature observations were accurate and related to physical heterogeneity in alvar habitats. We converted temperature measures into estimates of proximity of thermal niche boundaries for three butterfly species found during field surveys. This is the first time that this method has been applied to high resolution remote sensing observations and offers potential to assess the availability and adequacy of microclimates within habitats at resolutions relevant for conservation management.

Keywords: Climate change; Conservation biology; High-resolution remote sensing; Microclimate; Organismal climatology; Thermal imagery; Thermal map; Thermal positioning; UAS; UAV.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Ecosystem*
  • Hot Temperature
  • Ontario
  • Remote Sensing Technology*
  • Temperature

Grants and funding

This research was supported by a Discovery Grant and Discovery Accelerator funds from the Natural Sciences and Engineering Research Council of Canada (NSERC), with additional support from funds associated with the University Research Chair in Macroecology and Conservation, both to Jeremy T. Kerr. Gabrielle Ednie received support from a NSERC Canada Graduate Scholarship (master’s) and a Fonds de recherche du Québec: Nature et technologies (FRQNT) master research scholarship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.