Evidence map›Paper›PMID 34111236›Full record

ArticleAnnals of botany2021

Sampling forests with terrestrial laser scanning.

Peter B Boucher, Ian Paynter, David A Orwig, Ilan Valencius, Crystal Schaaf

Abstract read
In one paragraph

Article in Annals of botany, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Peter B BoucherSchool for the Environment, University of Massachusetts, Boston, MA, USA.ORCID 0000-0003-2585-6705
Ian PaynterUniversities Space Research Association (USRA), GESTAR, NASA Earth Sciences, GSFC, Greenbelt, MD, USA.
David A OrwigHarvard Forest, Harvard University, Petersham, MA, USA.
Ilan ValenciusSchool for the Environment, University of Massachusetts, Boston, MA, USA.
Crystal SchaafSchool for the Environment, University of Massachusetts, Boston, MA, USA.

Funding

Center for Tropical Forest Science and Smithsonian Institute's Forest Global Earth ObservatoryDevelopment of Terrestrial Lidar Scanning for Aboveground Biomass and Ecological Applications 1455636Harvard UniversityNASANational Science FoundationNational Science Foundation DEB 06-20443Research Coordination NetworkVisible Infrared Imaging Radiometer Suite 80NSSC18K062
6 · The paper itself

Abstract

BACKGROUND AND

aimsTerrestrial laser scanners (TLSs) have successfully captured various properties of individual trees and have potential to further increase the quality and efficiency of forest surveys. However, TLSs are limited to line of sight observations, and forests are complex structural environments that can occlude TLS beams and thereby cause incomplete TLS samples. We evaluate the prevalence and sources of occlusion that limit line of sight to forest stems for TLS scans, assess the impacts of TLS sample incompleteness, and evaluate sampling strategies and data analysis techniques aimed at improving sample quality and representativeness.

methodsWe use a large number of TLS scans (761), taken across a 255 650-m2 area of forest with detailed field survey data: the Harvard Forest Global Earth Observatory (ForestGEO) (MA, USA). Sets of TLS returns are matched to stem positions in the field surveys to derive TLS-observed stem sets, which are compared with two additional stem sets derived solely from the field survey data: a set of stems within a fixed range from the TLS and a set of stems based on 2-D modelling of line of sight. Stem counts and densities are compared between the stem sets, and four alternative derivations of area to correct stem densities for the effects of occlusion are evaluated. Representation of diameter at breast height and species, drawn from the field survey data, are also compared between the stem sets. KEY

resultsOcclusion from non-stem sources was the major influence on TLS line of sight. Transect and point TLS samples demonstrated better representativeness of some stem properties than did plots. Deriving sampled area from TLS scans improved estimates of stem density.

conclusionsTLS sampling efforts should consider alternative sampling strategies and move towards in-progress assessment of sample quality and dynamic adaptation of sampling.

Indexed as

ForestsTreesLasersLightforest inventoryforestryforest surveysamplingTerrestrial LiDAR scanningtimber cruiseTLS

Identifiers

PMID34111236
PMCPMC8557379

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.