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) ; 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 |
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Appears in Collections: | Journal Article |
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