Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiata pine (Pinus radiata D. Don) plantations

Annals of Forest Science

Volumn 71, Issue 7, 2014, Pages 771-780

  Saremi, Hanieh ^a   Kumar, Lalit ^a   Turner, Russell ^b   Stone, Christine ^c   Melville, Gavin ^d  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

^b Remote Census Pty Ltd   (Australia)

^c Department of Primary Industries ^*  (Australia)

^d NSW DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

Author keywords

Canopy height model; Digital elevation model; Height classes; LiDAR derived metrics; Mixed linear models; Topography

Indexed keywords

BIOMASS; CONIFEROUS TREE; DIAMETER; LIDAR; SLOPE; SPATIAL VARIATION; STEM; TOPOGRAPHY; TREE PLANTING;

PINUS RADIATA; RADIATA;

EID: 84906942984     PISSN: 12864560     EISSN: 1297966X     Source Type: Journal    
DOI: 10.1007/s13595-014-0374-4     Document Type: Article

References (37)

1. Álvarez J, Allen HL, Albaugh TJ, Stape JL, Bullock BP, Song C (2013) Factors influencing the growth of radiata pine plantations in Chile. Forestry 86:13–26. doi:10.1093/forestry/cps072
2. Auslander M, Nevo E, Inbar M (2003) The effects of slope orientation on plant growth, developmental instability and susceptibility to herbivores. J Arid Environ 55:405–416
3. Burton P, Gurrin L, Sly P (1998) Extending the simple linear regression model to account for correlated responses: an introduction to generalized estimating equations and multi-level mixed modelling. Stat Med 17:1261–1291
4. Chen JM, Chen X, Ju W (2013) Effects of vegetation heterogeneity and surface topography on spatial scaling of net primary productivity. Biogeosciences 10:4879–4896. doi:10.5194/bg-10-4879-2013
5. Ferry B, Morneau F, Bontemps JD, Blanc L, Freycon V (2010) Higher treefall rates on slopes and waterlogged soils result in lower stand biomass and productivity in a tropical rain forest. J Ecol 98:106–116
6. Fielding JM (1964) Notes on a monterey pine seed orchard on Tallaganda State Forest in New South Wales. Aust For 28:203–206
7. Gleason CJ, Im J (2012) Forest biomass estimation from airborne LiDAR data using machine learning approaches. Remote Sens Environ 125:80–91. doi:10.1016/j.rse.2012.07.006
8. Hawbaker TJ, Keuler NS, Lesak AA, Gobakken T, Contrucci K, Radeloff VC (2009) Improved estimates of forest vegetation structure and biomass with a LiDAR-optimized sampling design. J Geophys Res Biogeosci 114:G00E04. doi:10.1029/2008jg000870
9. Jenkins JC, Chojnacky DC, Heath LS, Birdsey RA (2003) National scale biomass estimators for United States tree species. For Sci 49:12–35
10. Junttila V, Finley AO, Bradford JB, Kauranne T (2013) Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory. Forest Ecol Manag 292:75–85. doi:10.1016/j.foreco.2012.12.019
11. Kraus K, Pfeifer N (1998) Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS J Photogramm Remote Sens 53:193–203. doi:10.1016/S0924-2716(98)00009-4
12. Kumar L, Skidmore AK, Knowles E (1997) Modelling topographic variation in solar radiation in a GIS environment. Int J Geogr Inf Sci 11:475–497
13. LAStools (2014) rapidlasso GmbH. www.rapidlasso.com/. Accessed 14 Mar 2014
14. Lee W-K, Gadow KV, Chung D-J, Lee J-L, Shin M-Y (2004) DBH growth model for Pinus densiflora and Quercus variabilis mixed forests in central Korea. Ecol Model 176:187–200. doi:10.1016/j.ecolmodel.2003.11.012
15. Li Y, Wang C, Tang H (2006) Research advances in nutrient runoff on sloping land in watersheds. Aquat Ecosys Health Manag 9:27–32. doi:10.1080/14634980600559379
16. Li Y, Andersen H-E, McGaughey R (2008) A comparison of statistical methods for estimating forest biomass from light detection and ranging data. West J Appl For 23:223–231
17. Maltamo M, Bollandsås OM, Næsset E, Gobakken T, Packalén P (2011) Different plot selection strategies for field training data in ALS-assisted forest inventory. Forestry 84:23–31. doi:10.1093/forestry/cpq039
18. McGaughey RJ (2007) FUSION manual, version 2.90. USDA Forest Service
19. McGaughey RJ (2013) FUSION/LDV: software for LiDAR data analysis and visualisation, vol Version 3.30. U.S. Department of Agriculture Forest Service, Pacific Northwest Research Station, University of Washington, Seattle
20. Moore JR (2010) Allometric equations to predict the total above-ground biomass of radiata pine trees. Ann For Sci 67:806. doi:10.1051/forest/2010042
21. Næsset E (1997) Determination of mean tree height of forest stands using airborne laser scanner data. ISPRS J Photogramm Remote Sens 52:49–56
22. Nevo E (2001) Evolution of genome-phenome diversity under environmental stress. Proc Natl Acad Sci U S A 98:6233–6240
23. Popescu SC (2007) Estimating biomass of individual pine trees using airborne lidar. Biomass Bioenergy 31:646–655. doi:10.1016/j.biombioe.2007.06.022
24. R Development Core Team (2011) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
25. Radiata Pine Breeding Company (RPBC) (2002) Rating the genetic quality of radiata pine. RPBC Information Bulletin No. 1. Rotorua, New Zealand. http://www.rpbc.co.nz/index.htm
26. Robert A (2003) Simulation of the effect of topography and tree falls on stand dynamics and stand structure of tropical forests. Ecol Model 167:287–303
27. Ryan PJ, Holmes GI (1986) Geology of Hanging Rock and Nundle State Forests. Technical paper; no. 37. Sydney
28. Schröder M, Rehrauer H, Seidel K, Datcu M (1998) Spatial information retrieval from remote sensing images—part II: Gibbs Markov random fields. IEEE Trans Geosci Remote Sens 36:1446–1455
29. Silvergieter MP, Lank DB (2011) Marbled murrelets select distinctive nest trees within old-growth forest patches. Avian Conserv Ecol 6:3
30. Snowdon P, Woollons RC, Benson ML (1998) Incorporation of climatic indices into models of growth of Pinus radiata in a spacing experiment. New For 16:101–123. doi:10.1023/a:1006524609459
31. Stage AR, Salas C (2007) Interactions of elevation, aspect, and slope in models of forest species composition and productivity. For Sci 53:486–492
32. Turner J, Lambert M, Hopmans P, McGrath J (2001) Site variation in Pinus radiata plantations and implications for site specific management. New For 21:249–282. doi:10.1023/a:1012240720833
33. Vanclay JK (2009) Tree diameter, height and stocking in even-aged forests. Ann For Sci 66:702
34. White JC, Wulder MA, Varhola A, Vastaranta M, Coops NC, Cook BD, Pitt D, Woods M (2013) A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach. For Chron 89:722–723. doi:10.5558/tfc2013-132
35. Woollons RC, Snowdon P, Mitchell ND (1997) Augmenting empirical stand projection equations with edaphic and climatic variables. For Ecol Manag 98:267–275. doi:10.1016/S0378-1127(97)00090-X
36. Worrell R, Malcolm DC (1990) Productivity of Sitka spruce in Northern Britain 2. Prediction from site factors. Forestry 63:119–128
37. Xu T, Hutchinson MF (2011) ANUCLIM Version 6.1 User Guide. The Australian National University, Fenner School of Environment and Society, Canberra