Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/16940
Title: DBH and height show significant correlation with incoming solar radiation: a case study of a radiata pine ('Pinus radiata' D. Don) plantation in New South Wales, Australia
Contributor(s): Saremi, Hanieh  (author); Kumar, Lalit  (author)orcid ; Turner, Russell (author); Stone, Christine (author); Melville, Gavin (author)
Publication Date: 2014
DOI: 10.1080/15481603.2014.937901
Handle Link: https://hdl.handle.net/1959.11/16940
Abstract: The aim of this study was to determine whether diameter at breast height (DBH, at 1.3 m) and total height of radiata pine ('Pinus radiata' D. Don) trees showed any significant relationships with microsite estimates of solar radiation. A total of 77 plots were established in two even-aged stands of radiata in Nundle State Forest, New South Wales, Australia. Within these plots, tree DBH and height measurements were recorded and their relationships with solar radiation evaluated. Airborne light detection and ranging (LiDAR) data were processed to generate a high resolution digital elevation model (DEM), and the DEM was used for calculating the incoming solar radiation. Overall, at both study sites, taller and larger trees were found on areas with lower solar radiation, possibly due to a lower loss in soil moisture. The findings of this study suggest that LiDAR-derived DEM estimates of solar radiation are significantly correlated with DBH and height variation, and therefore suitable for use as a sub-compartment stratification variable as well as for possible inclusion in fine-scale estimates of 'P. radiata' growth and productivity.
Publication Type: Journal Article
Source of Publication: GIScience and Remote Sensing, 51(4), p. 427-444
Publisher: Taylor & Francis
Place of Publication: United Kingdom
ISSN: 1943-7226
1548-1603
Fields of Research (FoR) 2008: 090903 Geospatial Information Systems
090905 Photogrammetry and Remote Sensing
050205 Environmental Management
Fields of Research (FoR) 2020: 401302 Geospatial information systems and geospatial data modelling
401304 Photogrammetry and remote sensing
410404 Environmental management
Socio-Economic Objective (SEO) 2008: 820105 Softwood Plantations
960505 Ecosystem Assessment and Management of Forest and Woodlands Environments
Socio-Economic Objective (SEO) 2020: 260205 Softwood plantations
180301 Assessment and management of freshwater ecosystems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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