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Title: Sub-Compartment Variation in Tree Height, Stem Diameter and Stocking in a 'Pinus radiata' D. Don Plantation Examined Using Airborne LiDAR Data
Contributor(s): Saremi, Hanieh  (author); Kumar, Lalit  (author)orcid ; Stone, Christine (author); Melville, Gavin (author); Turner, Russell (author)
Publication Date: 2014
Open Access: Yes
DOI: 10.3390/rs6087592Open Access Link
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Abstract: Better information regarding the spatial variability of height, Diameter at Breast Height (DBH) and stocking could improve inventory estimates at the operational Planning Unit since these parameters are used extensively in allometric equations, including stem volume, biomass and carbon calculations. In this study, the influence of stand stocking on height and DBH of two even aged radiata pine ('Pinus radiata' D. Don) stands were investigated using airborne Light Detection and Ranging (LiDAR) data at a study site in New South Wales, Australia. Both stands were characterized by irregular stocking due to patchy establishment and self-thinning in the absence of any silvicultural thinning events. For the purpose of this study, a total of 34 plots from a 34 year old site and 43 plots from a nine year old site were established, from which a total of 447 trees were sampled. Within these plots, DBH and height measurements were measured and their relationships with stocking were evaluated. LiDAR was used for height estimation as well as stem counts in fixed plots (stocking). The results showed a significant relationship between stem DBH and stocking. At both locations, trees with larger diameters were found on lower stocking sites. Height values were also significantly correlated with stocking, with taller trees associated with high stocking. These results were further verified of additional tree samples, with independent field surveys for DBH and LiDAR-derived metrics for height analysis. This study confirmed the relationship between P. radiata tree heights and stem diameter with stocking and demonstrated the capacity of LiDAR to capture sub-compartment variation in these tree-level attributes.
Publication Type: Journal Article
Source of Publication: Remote Sensing, 6(8), p. 7592-7609
Publisher: MDPIAG
Place of Publication: Basel, Switzerland
ISSN: 2072-4292
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
050209 Natural Resource Management
050205 Environmental Management
Socio-Economic Outcome Codes: 960906 Forest and Woodlands Land Management
960505 Ecosystem Assessment and Management of Forest and Woodlands Environments
960604 Environmental Management Systems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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