Two-stage sampling to estimate individual tree biomass

The accurate estimation of tree biomass is crucial for the efficient management of forest resources. In this study, we used a subsampling method for unbiased estimates of above-ground tree biomass. The method consists of 2 stages: the first stage consists of randomized branch sampling (RBS) and the second stage uses importance sampling (IS). RBS is used to select a path from the butt of an object branch to a terminal segment. IS is used for selecting a disk that produces unbiased estimates of the fresh biomass of tree. In this study, the subsampling method was tested on 14 black pine sample trees (Pinus nigra Arnold subsp. pallasiana (Lamb.) Holmboe) in order to estimate the trees' biomass quickly and easily. The results showed a wide range of sampling error per tree, ranging from 2.51% to 22.63%. However, the sampling error for the total biomass of the 14 trees tested was only 2.65%. The proposed 2-stage sampling method generally performed better for the bole biomass than the branch biomass. These results indicated that the proposed 2-stage sampling method is effective and might overcome many of the identified constraints in biomass estimation. It is a viable alternative to the current methods used in Turkey.

Anahtar Kelimeler:

Key words: Biomass, black pine, importance sampling, randomized branch sampling, subsampling

Two-stage sampling to estimate individual tree biomass

Keywords:

Key words: Biomass, black pine, importance sampling, randomized branch sampling, subsampling,

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Brown S (1997) Estimating Biomass and Biomass Change of Tropical Forests: A Primer. FAO Forestry Paper 134. FAO, Rome.
Brown S (2002) Measuring carbon in forests: current status and future challenges. Environmental Pollution 116: 363-372.
Chen B, Da LJ, Song YC (2003) Flowering phenology and fl oral distribution of Castanopsis fargesii in Tiantong, Zhejiang Province. Zhiwu Shengtai Xuebao 27: 249-255.
Çakıl E (2008) Zonguldak Orman Bölge Müdürlüğü Karaçam Biyokütle Tablolarının Düzenlenmesi. Yüksek Lisans Tezi. Zonguldak Karaelmas Üniversitesi, Fen Bilimleri Enstitüsü, p. 167.
De Gier A (1989) Woody Biomass for Fuel: Estimating the Supply in Natural Woodlands and Shrublands. Albert Ludwigs University, Freiburg, Germany.
De Gier A (2003) A new approach to woody biomass assessment in woodlands and shrublands. In: Geoinformatics for Tropical Ecosystems (Ed. P Roy). Bishen Singh Mahendra Pal Singh, India, pp. 161-198.
Deo RK (2008) Modeling and Mapping of Above-Ground Biomass and Carbon Sequestration in the Cool Temperate Forest of North-East China. MS Th esis, International Institute for Geo-Information Science and Earth Observation, Enschede, Netherlands, p. 78.
Durkaya A, Durkaya B, Ünsal A (2009) Predicting the above-ground biomass of calabrian pine (Pinus brutia Ten.) stands in Turkey. Afr J Biotechnol 8: 2483-2488.
Durkaya B (1998) Zonguldak Orman Bölge Müdürlüğü Meşe Meşcerelerinin Biyokütle Tablolarının Düzenlenmesi. Yüksek Lisans Tezi. Zonguldak Karaelmas Üniversitesi, Fen Bilimleri Enstitüsü, p. 110.
Evans AM, Gregoire TG (2006) Th e tree crown distribution of hemlock woolly adelgid, Adelges tsugae (Hem., Adelgidae) from randomized branch sampling. J Appl Entomol 131: 26-33.
Furness GO (1976) Th e dispersal age structure and natural enemies of the long-tailed mealybug (Pseudococcus longispinus) in relation to sampling and control. Aust J Zool 24: 237-247.
Gaff rey D, Sabarowski J (1999) RBS, a multistage inventory method for estimating tree characteristics. I. Estimating needle and branch dry mass of 66-year-old Douglas fi r trees. Allgemeine Forst und Jagdzeitung 170: 177-183.
Good NM, Paterson M, Brack C, Mengersen K (2001) Estimating tree component biomass using variable probability sampling methods. J Agric Biol Environ Stat 6: 258-267.
Gove JH, Ducey MJ, Valentine HT, Dibble AC (2002) Multistage point relascope and randomized branch sampling downed coarse woody debris estimation. For Ecol Manage 155: 153- 162.
Gregoire TG, Valentine HT (1996) Sampling methods to estimate stem length and surface area of tropical tree species. For Ecol Manage 83: 229-235.
Gregoire TG, Valentine HT (2007) Sampling Strategies for Natural Resources and the Environment. Chapman & Hall/CRC Applied Environmental Statistics, New York.
Gregoire TG, Valentine HT, Furnival GM (1995) Sampling methods to estimate foliage and other characteristics of individual trees. Ecology 76: 1181-1194.
Hietz P, Eckmüllner O, Sterba H (2009) Leaf area of beech (Fagus sylvatica L.) from diff erent stands in eastern Austria studied by randomized branch sampling. Eur J For Res 129: 401-408.
Intergovernmental Panel on Climate Change (IPCC) (2001) Climate Change 2001: Working Group 1: Th e Scientifi c Basis. Cambridge University Press, New York.
İkinci O (2000) Zonguldak Orman Bölge Müdürlüğü Kestane Meşcerelerinin Biyokütle Tablolarının Düzenlenmesi. Yüksek Lisans Tezi. Zonguldak Karaelmas Üniversitesi, Fen Bilimleri Enstitüsü, p. 86.
Jessen RJ (1955) Determining the fruit count on a tree by randomized branch sampling. Biometrics 11: 99-109.
Losi CJ, Siccama TG, Condit R, Morales JE (2003) Analysis of alternative methods for estimating carbon stock in young tropical plantations. For Ecol Manage 184: 355-368.
Mabowe BR (2006) Aboveground Woody Biomass Assessment in Serowe Woodlands, Botswana. MS Th esis. International Institute for Geo-Information Science and Earth Observation, Enschede, Netherlands, p. 82.
Montes N, Gauquelin T, Badri W, Bertaudiere V, Zaoui EH (2000) A non-destructive method for estimating above-ground forest biomass in threatened woodlands. For Ecol Manage 130: 37-46.
Özkaya S (2004) Artvin-Genya Dağı Yötesi Doğu Ladini (Picea orientalis (L.) Link.) Ormanlarında Toprak Üstü Biyokütlennin Belirlenmesi. Yüksek Lisans Tezi. Kafk as Üniversitesi, Fen Bilimleri Enstitüsü, p. 62.
Parresol BR (1999) Assessing tree and stand biomass: a review with examples and critical comparisons. For Sci 45: 573-593.
Raulier F, Bernier PY, Ung CH, Boutin R (2002) Structural diff erences and functional similarities between two sugar maple (Acer saccharum Marsh) stands. Tree Physiol 22: 1147-1156.
Rubinstein RY (1981) Simulation and the Monte Carlo Method. Wiley, New York.
Saraçoğlu N (1998) Kayın (Fagus orientalis Lipsky) biyokütle tabloları. Turk J Agric For 22: 93-100.
Saraçoğlu N (2000) Sakallı Kızılağaç (Alnus glutinosa (L.) Gaertn subsp. Barbata (C.A. Mey.) Yalt.) biyokütle tabloları. Turk J Agric For 24: 147-156.
Sun O, Uğurlu S, Özer E (1980) Kızılçam (Pinus brutia Ten.) türüne ait biyolojik kütlenin saptanması. Ormancılık Araştırma Enstitüsü Teknik Bülteni, Teknik Bülten Serisi No: 104, p. 32.
Tolunay D (2009) Carbon concentrations of tree components, forest fl oor and understorey in young Pinus sylvestris stands in north- western Turkey. Scan J For Res 24: 394-402.
Tolunay D (2011) Total carbon stocks and carbon accumulation in living tree biomass in forest ecosystems of Turkey. Turk J Agric For 35: 265-279.
Uğurlu S, Araslı B, Sun O (1976) Stebe geçiş yörelerindeki sarıçam meşcerelerinde biyolojik kütlenin saptanması. Ormancılık Araştırma Enstitüsü Yayınları, Teknik Bülten Serisi, p. 48.
Ünsal A (2007) Adana Orman Bölge Müdürlüğü Karaisalı Orman İşletme Müdürlüğü Kızılçam Biyokütle Tablolarının Düzenlenmesi. Yüksek Lisans Tezi. Zonguldak Karaelmas Üniversitesi, Fen Bilimleri Enstitüsü, p. 51.
Valentine HT, Hilton SJ (1977) Sampling oak foliage by the randomized-branch method. Can J For Res 7: 295-298.
Valentine HT, Tritton LM, Furnival GM (1984) Subsampling trees for biomass, volume, or mineral content. For Sci 30: 673-681.
Williams RA (1989) Use of randomized branch and importance sampling to estimate Loblolly pine biomass. South J Appl For 13: 181-184.