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Integrating Forest Structural Diversity Measurement Into Ecological ResearchThe measurement of forest structure has evolved steadily due to advances in technology, methodology, and theory. Such advances have greatly increased our capacity to describe key forest structural elements and resulted in a range of measurement approaches from traditional analog tools such as measurement tapes to highly derived and computationally intensive methods such as advanced remote sensing tools (e.g., lidar, radar). This assortment of measurement approaches results in structural metrics unique to each method, with the caveat that metrics may be biased or constrained by the measurement approach taken. While forest structural diversity (FSD) metrics foster novel research opportunities, understanding how they are measured or derived, limitations of the measurement approach taken, as well as their biological interpretation is crucial for proper application. We review the measurement of forest structure and structural diversity—an umbrella term that includes quantification of the distribution of functional and biotic components of forests. We consider how and where these approaches can be used, the role of technology in measuring structure, how measurement impacts extend beyond research, and current limitations and potential opportunities for future research.
Document ID
20240006504
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Jeff W. Atkins ORCID
(Virginia Commonwealth University Richmond, United States)
Parth Bhatt ORCID
(Michigan Technological University Houghton, Michigan, United States)
Luis Carrasco ORCID
(University of Tennessee at Knoxville Knoxville, United States)
Emily Francis ORCID
(University of New Mexico Albuquerque, United States)
James E. Garabedian ORCID
(USDA Forest Service Southern Research Station)
Christopher R. Hakkenberg ORCID
(Northern Arizona University Flagstaff, United States)
Brady S. Hardiman ORCID
(Purdue University West Lafayette West Lafayette, United States)
Jinha Jung
(Purdue University West Lafayette West Lafayette, United States)
Anil Koirala ORCID
(University of Georgia Research Foundation Athens, United States)
Elizabeth A. LaRue ORCID
(The University of Texas at El Paso El Paso, United States)
Sungchan Oh ORCID
(Purdue University West Lafayette West Lafayette, United States)
Gang Shao
(Purdue University West Lafayette West Lafayette, United States)
Guofan Shao
(Purdue University West Lafayette West Lafayette, United States)
H.H. Shugart
(University of Virginia Charlottesville, United States)
Anna Spiers
(University of Colorado Boulder Boulder, United States)
Atticus E L Stovall ORCID
(University of Maryland Global Campus Adelphi, Maryland, United States)
Thilina D. Surasinghe ORCID
(Bridgewater State University Bridgewater, Massachusetts, United States)
Xiaonan Tai
(New Jersey Institute of Technology Newark, United States)
Lu Zhai
(Oklahoma State University Stillwater, United States)
Tao Zhang ORCID
(University of Minnesota Minneapolis, United States)
Keith Krause
(Battelle Memorial Institute Boulder, Colorado, USA)
Date Acquired
May 20, 2024
Publication Date
September 6, 2023
Publication Information
Publication: Ecosphere
Publisher: Ecological Society of America
Volume: 14
Issue: 9
Issue Publication Date: September 6, 2023
ISSN: 2150-8925
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
TASK: 120
CONTRACT_GRANT: 1924942
CONTRACT_GRANT: 80NSSC22K0399
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
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