Remote Sensing (May 2023)

Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics

  • Ewane Basil Ewane,
  • Midhun Mohan,
  • Shaurya Bajaj,
  • G. A. Pabodha Galgamuwa,
  • Michael S. Watt,
  • Pavithra Pitumpe Arachchige,
  • Andrew T. Hudak,
  • Gabriella Richardson,
  • Nivedhitha Ajithkumar,
  • Shruthi Srinivasan,
  • Ana Paula Dalla Corte,
  • Daniel J. Johnson,
  • Eben North Broadbent,
  • Sergio de-Miguel,
  • Margherita Bruscolini,
  • Derek J. N. Young,
  • Shahid Shafai,
  • Meshal M. Abdullah,
  • Wan Shafrina Wan Mohd Jaafar,
  • Willie Doaemo,
  • Carlos Alberto Silva,
  • Adrian Cardil

DOI
https://doi.org/10.3390/rs15102627
Journal volume & issue
Vol. 15, no. 10
p. 2627

Abstract

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Protecting and enhancing forest carbon sinks is considered a natural solution for mitigating climate change. However, the increasing frequency, intensity, and duration of droughts due to climate change can threaten the stability and growth of existing forest carbon sinks. Extreme droughts weaken plant hydraulic systems, can lead to tree mortality events, and may reduce forest diversity, making forests more vulnerable to subsequent forest disturbances, such as forest fires or pest infestations. Although early warning metrics (EWMs) derived using satellite remote sensing data are now being tested for predicting post-drought plant physiological stress and mortality, applications of unmanned aerial vehicles (UAVs) are yet to be explored extensively. Herein, we provide twenty-four prospective approaches classified into five categories: (i) physiological complexities, (ii) site-specific and confounding (abiotic) factors, (iii) interactions with biotic agents, (iv) forest carbon monitoring and optimization, and (v) technological and infrastructural developments, for adoption, future operationalization, and upscaling of UAV-based frameworks for EWM applications. These UAV considerations are paramount as they hold the potential to bridge the gap between field inventory and satellite remote sensing for assessing forest characteristics and their responses to drought conditions, identifying and prioritizing conservation needs of vulnerable and/or high-carbon-efficient tree species for efficient allocation of resources, and optimizing forest carbon management with climate change adaptation and mitigation practices in a timely and cost-effective manner.

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