B061-0009
Evaluating the effects of plant biodiversity on surface temperature in forest restoration projects using UAV, Landsat, and ECOSTRESS data
Abstract:
Here, we present the results of two experiments from southern Ontario, Canada that aim to quantify the relationship between plant species diversity, plant biomass, and surface temperatures using remotely sensed thermal imaging data and in-situ sampled vegetation data.
The first experiment was conducted on a project where former farm-fields were seeded to restore oak-woodland or left as passive controls. We compared 12 years of thermal imaging data from Landsat 5, 7 and 8, and ECOSTRESS against annual vegetation sampling of this project and found that restoration effort led to an average decrease in summer day-time surface temperature of 4.5 °C. Each additional plant species decreased summer daytime surface temperature by 0.3 °C when controlling for ground and canopy cover. We also found that native species decreased surface temperatures at more than double the rate of non-native species.
Our second experiment used high resolution thermal imaging from UAV of three sites undergoing restoration through the transfer of forest topsoil and its seed bank. We found a mean summer cooling effect of 0.7 and 2.1 °C respectively in two former farm fields and 5.7 °C in a gravel pit site. The cooling effect was significantly correlated with an increase in native forest species richness at all sites. In contrast not all sites showed correlation between temperature and total plant cover, tree size or total plant species richness.
Overall we find evidence for the hypothesis that plant diversity does decrease surface temperature. Beyond the theoretical questions, our results show how thermal imaging could be used as a tool to monitor for issues in, and evaluate the benefit of, large-scale forest restoration projects (see figure for example).