Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/16942
Title: Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiata pine ('Pinus radiata' D. Don) plantations
Contributor(s): Saremi, Hanieh (author); Kumar, Lalit (author)orcid ; Turner, Russell (author); Stone, Christine (author); Melville, Gavin (author)
Publication Date: 2014
DOI: 10.1007/s13595-014-0374-4
Handle Link: https://hdl.handle.net/1959.11/16942
Abstract: Context: Reliable information on tree stem diameter variation at local spatial scales and on the factors controlling it could potentially lead to improved biomass estimation over pine plantations. Aims: This study addressed the relationship between local topography and tree diameter at breast height (DBH) within two even-aged radiata pine plantation sites in New South Wales, Australia. Methods: A total of 85 plots were established, and 1,302 trees were sampled from the two sites. Airborne light detection and ranging (LiDAR) was used to derive slope and aspect and to link them to each individual tree. Results: The results showed a significant relationship between DBH and local topography factors. At both sites, trees on slopes below 20° and on southerly aspects displayed significantly larger DBHs than trees on steeper slopes and northerly aspects. Older trees with similar heights also exhibited a significant relationship between DBH and aspect factor, where greater DBHs were found on southerly aspects. Conclusions: The observed correlation between tree DBH and LiDAR-derived slope and aspect could contribute to the development of improved biomass estimation approaches in pine plantations. These topographical variables are easily attained with airborne LiDAR, and they could potentially improve DBH predictions in resource inventories (e.g. stand volume or biomass) and support field sampling design.
Publication Type: Journal Article
Source of Publication: Annals of Forest Science, 71(7), p. 771-780
Publisher: Springer France
Place of Publication: France
ISSN: 1286-4560
1297-966X
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
090903 Geospatial Information Systems
050205 Environmental Management
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 326
Views: 385
Downloads: 0
Appears in Collections:Journal Article

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

5
checked on Nov 26, 2018

Page view(s)

58
checked on Mar 22, 2019
Google Media

Google ScholarTM

Check

Altmetric

SCOPUSTM   
Citations

 

WEB OF SCIENCETM
Citations

 

Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.