Tree Physiology and Forest Dynamics Using Remote Sensing Technology

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Physiology and Metabolism".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 236

Special Issue Editor


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Guest Editor
College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
Interests: forestry remote sensing and tree physiology and ecology

Special Issue Information

Dear Colleagues,

Forests are one of the most important carbon sinks of terrestrial ecosystems and play an increasingly significant role in fostering biodiversity and mitigating climate change. With global warming and increasing weather extremes, individual trees and forest groups undergo obvious changes, including changes in tree physiology, biochemical traits, and forest structure, to adapt to environmental conditions such as precipitation, temperature, and soil conditions. These can cause changes in the direction of forest succession and the widespread death of some tree species. How do we evaluate these tree physiology and forest dynamics? Remote sensing was an excellent method to assess these physiological change and forest dynamics on a large scale. Hyperspectral remote sensing presents to be very excellent in quantitative monitoring of tree nutrients, applicable traits of trees to environmental condition, and fine classification of tree species. Moreover, the development of unmanned aerial vehicle (UAV) technology, light detection and ranging (LiDAR), and multi-source remote sensing data can help in monitoring these forest subtle changes in a non-destructive and rapid way at multiple scales. However, forests are very complex forest ecosystems that will pose a huge challenge compared to traditional crop groups. Hence, novel technology and research are paramount for precision silviculture and sustainable management.

Dr. Jingjing Zhou
Guest Editor

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Keywords

  • forest dynamics
  • carbon
  • remote sensing
  • climate change

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