Integrating forest structural diversity measurement into ecological research

Author:

Atkins Jeff W.12ORCID,Bhatt Parth3ORCID,Carrasco Luis4ORCID,Francis Emily56ORCID,Garabedian James E.1ORCID,Hakkenberg Christopher R.7ORCID,Hardiman Brady S.89ORCID,Jung Jinha10,Koirala Anil11ORCID,LaRue Elizabeth A.12ORCID,Oh Sungchan8ORCID,Shao Gang9,Shao Guofan8,Shugart H. H.13,Spiers Anna14,Stovall Atticus E. L.1516ORCID,Surasinghe Thilina D.17ORCID,Tai Xiaonan18,Zhai Lu19,Zhang Tao20ORCID,Krause Keith21

Affiliation:

1. USDA Forest Service Southern Research Station New Ellenton South Carolina USA

2. Department of Biology Virginia Commonwealth University Richmond Virginia USA

3. College of Forest Resources and Environmental Science Michigan Technological University Houghton Michigan USA

4. National Institute for Mathematical and Biological Sciences University of Tennessee Knoxville Tennessee USA

5. Department of Biology University of New Mexico Albuquerque New Mexico USA

6. Department of Integrative Biology University of Texas at Austin Austin Texas USA

7. School of Informatics, Computing, and Cyber Systems Northern Arizona University Flagstaff Arizona USA

8. Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA

9. Libraries and School of Information Studies Purdue University West Lafayette Indiana USA

10. Lyles School of Civil Engineering Purdue University West Lafayette Indiana USA

11. Warnell School of Forestry and Natural Resources University of Georgia Athens Georgia USA

12. Department of Biological Sciences University of Texas: El Paso El Paso Texas USA

13. Department of Environmental Sciences University of Virginia Charlottesville Virginia USA

14. Department of Ecology & Evolutionary Biology University of Colorado Boulder Boulder Colorado USA

15. Biospheric Sciences Laboratory NASA Goddard Space Flight Center Greenbelt Maryland USA

16. Department of Geographical Science University of Maryland College Park Maryland USA

17. Bridgewater State University Bridgewater Massachusetts USA

18. Department of Biological Sciences New Jersey Institute of Technology Newark New Jersey USA

19. Department of Natural Resource Ecology & Management Oklahoma State University Stillwater Oklahoma USA

20. Department of Forest Resources University of Minnesota St. Paul Minnesota USA

21. Battelle, National Ecological Observatory Network (NEON) Boulder Colorado USA

Abstract

AbstractThe 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.

Funder

National Science Foundation

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

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