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Remote Sensing of Tropical Forest Plant Composition, Diversity, and Function

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posted on 2024-12-17, 20:51 authored by Stephanie A. Bohlman
Remote sensing is an important tool for analysis of composition, diversity, and function of tropical forests on large spatial scales. The 50-ha forest inventory plot on Barro Colorado Island (BCI) and the small plot network across central Panama has allowed assessment of the spatial scales at which remote sensing products can give insight into species composition and diversity. Canopy crane access to the upper surface of tree crowns has enabled extensive work to determine how reflectance spectra and traits differ between liana versus host tree leaves and crowns. Finally, BCI and associated sites have contributed to the development of how remote sensing is used to assess tree functional characteristics, including leaf chemistry, photosynthesis, and phenology. The ongoing growth of field-based datasets and a long-term drone data collection campaign will continue to allow BCI and central Panama to serve as important sites for remote sensing of tropical forest function and diversity.

History

Series

  • Open Monographs

Volume Number

1

Publication date

2024-11-22

Funder(s)

Smithsonian Institution; Smithsonian Tropical Research Institute

Publisher

Smithsonian Institution Scholarly Press

Book Title

The First 100 Years of Research on Barro Colorado: Plant and Ecosystem Science

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