Affiliation:
1. School of Natural Resources University of Nebraska‐Lincoln Lincoln NE 68583‐0961 USA
2. School of Biological Sciences University of Nebraska‐Lincoln Lincoln NE 68588‐0118 USA
3. Center for Plant Science Innovation University of Nebraska‐Lincoln Lincoln NE 68588‐0660 USA
Abstract
Summary
The Photochemical Reflectance Index (PRI) provides an optical indicator of photosynthetic light‐use efficiency, photoprotection, and stress in plants. Although PRI can be applied in remote sensing, its interpretation depends on irradiance, which is hard to obtain from satellite or airborne imagery.
To quantify forest photoprotective responses remotely, we developed a framework for modeling and interpreting PRI‐light responses of individual trees and species using airborne imaging spectrometry coupled with georeferenced forest inventory data from a temperate broad‐leaved forest. We derived an irradiance proxy, used hierarchical modeling to analyze PRI‐light responses, and developed a framework of physiological interpretations of model parameters as facultative and constitutive components of photoprotection.
Photochemical Reflectance Index declined with illumination, and PRI‐light relationships varied with landscape position and among tree crowns and species. More sun‐exposed foliage had lower intercepts and slopes of the relationship, indicating greater constitutive, but less facultative, photoprotection.
We show that tree photoprotective strategies can be quantified at multiple scales using airborne hyperspectral data in structurally complex forests. Our findings and approach have important implications for the remote sensing of forest stress by offering a new way to assess functional diversity through dynamic differences in photoprotection and photosynthetic downregulation and providing previsual indicators of forest stress.
Funder
European Space Agency
National Science Foundation
U.S. Forest Service
Cited by
2 articles.
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