ALS-based estimation of plot volume and site index in a eucalyptus plantation with a nonlinear mixed-effect model that accounts for the clone effect
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Most airborne laser scanning (ALS) studies have been carried out in semi-natural forests, but some research has also been carried out in plantations. Results indicate that methods similar to those which are used in semi-natural forest are also usable in plantation forestry. The study was conducted in a pulpwood plantation growing Eucalyptus urograndis in Bahia State, Brazil.
The aims of this study are to investigate (1) how accurately the plot volume may be estimated by ALS data in eucalyptus plantations and (2) how to estimate the site index directly by combining ALS data and stand age. The plot volume and site index were estimated by means of nonlinear mixed-effect modeling in order to take into account the stand-within-clone hierarchy of the data.
The obtained accuracies are quite good if compared to those obtained in semi-natural forests. The root-mean-square error was 8.2% for plot volume and 2.7% for site index when the clone effect was used in prediction.
Precision forestry applied in plantations differs in many ways from the forestry practiced in a semi-natural environment. ALS-based forest inventory methods have a great deal of potential in pulpwood plantations when the unique features of plantation forestry are taken into account.
KeywordsAirborne laser scanning Nonlinear mixed-effect modeling Volume Site index Eucalyptus plantation Area-based method Lidar Forest inventory
- Axelsson P (2000) DEM generation from laser scanner data using adaptive TIN models. Intl Archives Photogram Remote Sens 33:110–117Google Scholar
- Breidenbach J, Kublin E, McGaughey R, Andersen H-E, Reutebuch S (2008) Mixed-effects models for estimating stand volume by means of small footprint airborne laser scanner data. Photogram J Finland 21:4–15Google Scholar
- Clutter JL, Fortson JC, Pienaar LV, Brister GH, Bailey RL (1983) Timber management: a quantitative approach. Wiley, New York, 334 pGoogle Scholar
- Evans J (1992) Plantation forestry in the tropics: tree planting for industrial, social, environmental, and agroforestry purpose, 2nd edn. Oxford University Press, USA, 403 pGoogle Scholar
- FAO (2002) Forest plantation productivity. Report based on the work of W.J. Libby and C. Palmberg-Lerche. In: Forest plantation thematic papers, working paper 3. Forest Resources Development Service, Forest Resources Division. FAO, RomeGoogle Scholar
- Hyyppä J, Inkinen M (1999) Detecting and estimating attributes for single trees using laser scanner. Photogram J Finland 16:27–42Google Scholar
- Maltamo M, Peuhkurinen J, Malinen J, Vauhkonen J, Packalén P, Tokola T (2009) Predicting tree attributes and quality characteristics of Scots pine using airborne laser scanning data. Silva Fennica 43:507–521Google Scholar
- McCombs JW, Roberts SD, Evans DL (2003) Influence of fusing lidar and multispectral imagery on remotely sensed estimates of stand density and mean tree height in a managed loblolly pine plantation. For Sci 49:457–466Google Scholar
- Näslund M (1937) Skogsförsöksanstaltens gallringsförsök i tallskog. Meddelanden från Statens Skogsförsöksanstalt 29, 169 p. (In Swedish)Google Scholar
- R Development Core Team (2009) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. http://www.R-project.org
- Rombouts J, Ferguson IS and Leech JW (2008) Variability of LiDAR volume prediction models for productivity assessment of radiata pine plantations in South Australia. In: Hill R, Rosette J, Suárez J (eds) Proceedings of SilviLaser 2008, 8th international conference on LiDAR applications in forest assessment and inventory, Edinburgh, UK, pp. 39–49Google Scholar
- Siverio FO, Barbosa LCA, Maltha CRA, Silvestre AJD, Pilo-Veloso D, Gomide JL (2007) Characterization of lipophilic wood extractives from clones of Eucalyptus urograndis cultivated in Brazil. BioResources 2:157–168Google Scholar
- Tesfamichael SG (2009) Assessment of structural attributes of even-aged Eucalyptus grandis forest plantations using small-footprint discrete return lidar data. PhD thesis, University of KwaZulu-Natal, South Africa, 194 pGoogle Scholar
- Wack R, Schardt M, Barrucho L, Lohr U and Oliveira T (2003) Forest inventory for eucalyptus plantations based on airborne laser scanner data. In: Proceedings of the International Society for Photogrammetry and Remote Sensing Symposium, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34, Commission III/W13, 40–46, The NetherlandsGoogle Scholar
- Zonete M, Rodriguez L, Packalén P (2010) Estimação de parâmetros biométricos de plantios clonais de eucalipto no sul da Bahia: uma aplicação da tecnologia laser aerotransportada. Scientia Forestalis 86:225–235 (In Portuguese)Google Scholar