Cargando…

The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA

Contemporary terrestrial laser scanning (TLS) is being used widely in forest ecology applications to examine ecosystem properties at increasing spatial and temporal scales. Harvard Forest (HF) in Petersham, MA, USA, is a long-term ecological research (LTER) site, a National Ecological Observatory Ne...

Descripción completa

Detalles Bibliográficos
Autores principales: Orwig, D. A., Boucher, P., Paynter, I., Saenz, E., Li, Z., Schaaf, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829185/
https://www.ncbi.nlm.nih.gov/pubmed/29503723
http://dx.doi.org/10.1098/rsfs.2017.0044
_version_ 1783302754275426304
author Orwig, D. A.
Boucher, P.
Paynter, I.
Saenz, E.
Li, Z.
Schaaf, C.
author_facet Orwig, D. A.
Boucher, P.
Paynter, I.
Saenz, E.
Li, Z.
Schaaf, C.
author_sort Orwig, D. A.
collection PubMed
description Contemporary terrestrial laser scanning (TLS) is being used widely in forest ecology applications to examine ecosystem properties at increasing spatial and temporal scales. Harvard Forest (HF) in Petersham, MA, USA, is a long-term ecological research (LTER) site, a National Ecological Observatory Network (NEON) location and contains a 35 ha plot which is part of Smithsonian Institution's Forest Global Earth Observatory (ForestGEO). The combination of long-term field plots, eddy flux towers and the detailed past historical records has made HF very appealing for a variety of remote sensing studies. Terrestrial laser scanners, including three pioneering research instruments: the Echidna Validation Instrument, the Dual-Wavelength Echidna Lidar and the Compact Biomass Lidar, have already been used both independently and in conjunction with airborne laser scanning data and forest census data to characterize forest dynamics. TLS approaches include three-dimensional reconstructions of a plot over time, establishing the impact of ice storm damage on forest canopy structure, and characterizing eastern hemlock (Tsuga canadensis) canopy health affected by an invasive insect, the hemlock woolly adelgid (Adelges tsugae). Efforts such as those deployed at HF are demonstrating the power of TLS as a tool for monitoring ecological dynamics, identifying emerging forest health issues, measuring forest biomass and capturing ecological data relevant to other disciplines. This paper highlights various aspects of the ForestGEO plot that are important to current TLS work, the potential for exchange between forest ecology and TLS, and emphasizes the strength of combining TLS data with long-term ecological field data to create emerging opportunities for scientific study.
format Online
Article
Text
id pubmed-5829185
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-58291852018-03-02 The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA Orwig, D. A. Boucher, P. Paynter, I. Saenz, E. Li, Z. Schaaf, C. Interface Focus Articles Contemporary terrestrial laser scanning (TLS) is being used widely in forest ecology applications to examine ecosystem properties at increasing spatial and temporal scales. Harvard Forest (HF) in Petersham, MA, USA, is a long-term ecological research (LTER) site, a National Ecological Observatory Network (NEON) location and contains a 35 ha plot which is part of Smithsonian Institution's Forest Global Earth Observatory (ForestGEO). The combination of long-term field plots, eddy flux towers and the detailed past historical records has made HF very appealing for a variety of remote sensing studies. Terrestrial laser scanners, including three pioneering research instruments: the Echidna Validation Instrument, the Dual-Wavelength Echidna Lidar and the Compact Biomass Lidar, have already been used both independently and in conjunction with airborne laser scanning data and forest census data to characterize forest dynamics. TLS approaches include three-dimensional reconstructions of a plot over time, establishing the impact of ice storm damage on forest canopy structure, and characterizing eastern hemlock (Tsuga canadensis) canopy health affected by an invasive insect, the hemlock woolly adelgid (Adelges tsugae). Efforts such as those deployed at HF are demonstrating the power of TLS as a tool for monitoring ecological dynamics, identifying emerging forest health issues, measuring forest biomass and capturing ecological data relevant to other disciplines. This paper highlights various aspects of the ForestGEO plot that are important to current TLS work, the potential for exchange between forest ecology and TLS, and emphasizes the strength of combining TLS data with long-term ecological field data to create emerging opportunities for scientific study. The Royal Society 2018-04-06 2018-02-16 /pmc/articles/PMC5829185/ /pubmed/29503723 http://dx.doi.org/10.1098/rsfs.2017.0044 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Orwig, D. A.
Boucher, P.
Paynter, I.
Saenz, E.
Li, Z.
Schaaf, C.
The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA
title The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA
title_full The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA
title_fullStr The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA
title_full_unstemmed The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA
title_short The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA
title_sort potential to characterize ecological data with terrestrial laser scanning in harvard forest, ma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829185/
https://www.ncbi.nlm.nih.gov/pubmed/29503723
http://dx.doi.org/10.1098/rsfs.2017.0044
work_keys_str_mv AT orwigda thepotentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT boucherp thepotentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT paynteri thepotentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT saenze thepotentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT liz thepotentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT schaafc thepotentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT orwigda potentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT boucherp potentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT paynteri potentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT saenze potentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT liz potentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma
AT schaafc potentialtocharacterizeecologicaldatawithterrestriallaserscanninginharvardforestma