Aydın KAHRİMAN, Hakkı YAVUZ, İlker ERCANLI

Site index conversion equations for mixed stands of Scots pine (Pinus sylvestris L.) and Oriental beech (Fagus orientalis Lipsky) in the Black Sea Region, Turkey

The site index conversion equations are important for estimating the site index of one tree species from the site index of another tree species in mixed stands. In this study, data were obtained from 162 sample plots in mixed stands of Scots pine (Pinus sylvestris L.) and Oriental beech (Fagus orientalis Lipsky) from the Black Sea Region in the north of Turkey. The breast height ages and height of the site trees were measured and the site index was estimated by these data. Geometric linear regression was used to estimate the parameters of a linear model relating to site indices of Scots pine and Oriental beech species. The correlation between the site indices of Scots pine and Oriental beech was 0.818, indicating a good fit to the linear model. Validation procedure showed that conversion equations were suitable for the studied mixed stands. The conversion equations can be applied to mixed species stands with inconsistent stratification or in stand conversion situations for an accurate and reliable evaluation of forest quality.

Anahtar Kelimeler:

Key words: Mixed stands, Oriental beech, site index conversion equations, Scots pine

Site index conversion equations for mixed stands of Scots pine (Pinus sylvestris L.) and Oriental beech (Fagus orientalis Lipsky) in the Black Sea Region, Turkey

Keywords:

Key words: Mixed stands, Oriental beech, site index conversion equations, Scots pine,

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Anşin R, Özkan ZC (2006)Tohumlu Bitkiler (Spermatophyta) OdunsuTaksonlar. 3rd ed. Karadeniz Technical University, Faculty of Forestry, Number:167/19, Trabzon (in Turkish). Atay İ (1990) Silvikültür II (Silvikültür Tekniği). İstanbul University, Faculty of Forestry, Number: 3599, İstanbul (in Turkish).
Bravo F, Montero G (2001) Site index estimation in Scotch pine (Pinus sylvestris L.) stands in the High Ebro Basin (Northern Spain) using soil attributes. Forestry 74: 395–406.
Carmean WH (1975) Forest site quality evaluation in the United States. Adv Agron 27: 209–269.
Carmean WH (1979) Site index comparisons among northern hardwoods in northern Wisconsin and upper Michigan. USDA Forest Service Research Paper, NC-169.
Carmean WH, Vasilevsky A (1971) Site index comparisons for tree species in northern Minnesota. USDA Forest Service Research Paper, NC-65.
Dallal GE, Wilkinson L (1986) An analytic approximation to the distribution of Lilliefor’s test statistic for normality. Amer Statis 40: 294–296.
Davis PH (1982) Flora of Turkey and East Aegean Islands. Edinburgh University Press, Edinburgh, UK.
Doolittle WT (1958) Site index comparisons for several forest species in the southern Appalachians. Soil Sci Soc Amer Proc 22: 455–458.
Duchiron MS (2000). Strukturierte Mischwälder. Eine Herausforderung für den Waldbau unsere Zeit. Parey Buchverlag, Berlin (in German).
Foster RW (1959) Relation between site indices of eastern white pine and red maple. For Sci 5: 279–291.
Hägglund B (1981) Evaluation of forest site productivity. For Abstracts 42: 515–527.
General Directorate of Forestry (2008) Criteria and indicators for sustainable forest management report for 2008. General Directorate of Forestry, Ankara.
Kahriman A (2011) Modeling of forest growth for Scots pine and Oriental beech mixed stands in Black Sea Region. PhD, Karadeniz Technical University, Graduate School of Natural and Applied Sciences, Trabzon.
Lilliefors HW (1967) On the Kolmogorov-Smirnov tests for normality with mean and variance unknown. J Amer Statis Assoc 62: 399–402.
Nigh GD (1995) The geometric mean regression: a method for developing site index conversion equations for species in mixed stands. For Sci 41: 84–98.
Nigh G (2002) Site index conversion equations for mixed trembling aspen and white spruce stands in northern British Columbia. Silva Fen 36: 789–797.
Nigh G, Kayahara G (2000) Site index conversion equations for Western Redcedar and Western Hemlock. Northwest Sci 74: 146–150.
Pretzsch H (2009) Forest Dynamics, Growth, and Yield: From Measurement to Model. Springer, Berlin.
Rayner JMV (1985) Linear relations in biomechanics: the statistics of scaling functions. J Zool Soc London 206: 415–439.
Ricker WE (1973) Linear regressions in fisheries research. J Fish Res Board Can 30: 409–434.
SPSS Institute Inc. (2003) SPSS Base 12.0 User’s Guide. SPSS, Chicago. Steele BM, Cooper SV (1986) Predicting site index and height for selected tree species of northern Idaho. USDA Forest Service Research Paper, INT-365.
Vanclay JK (1992) Assessing site productivity in tropical moist forests: a review. For Ecol Manage 54: 257–287.
Vanclay JK (1994) Modelling Forest Growth: Applications to Mixed Tropical Forests. CAB International, Wallingford, UK.
Wang GG (1994) White spruce site index in relation to soil, understory vegetation, and foliar nutrients. Can J For Res 25: 29–
West PW (2009) Tree and Forest Measurement. 2nd ed. Springer, Dordrecht.