Turkish red pine is an important forest tree species because of its role in the ecosystem whose range includes many countries in the eastern Mediterranean basin.In addition,red pine is a preferred forest tree species ...Turkish red pine is an important forest tree species because of its role in the ecosystem whose range includes many countries in the eastern Mediterranean basin.In addition,red pine is a preferred forest tree species due to rapid growth,usage in afforestation in arid areas and the production of non-wood forest products such as resin.The aim of the study was to examine the relationship between the productivity of red pine and ecosystem in the lower and middle belt of the Taurus Mountains,and to determine the interrelations between the productivity of red pine and ecosystem.Multivariate analyses(multiple regression analysis and artificial neural networks)were used to model the efficiency(biomass production)of red pine.From the multivariate analyses,a productivity model of the species was created with the slope,soil depth,and precipitation in the driest variables.A significant correlation was found between site index and site factors in the driest quarter.These variables had a statistically significant relationship with the site index in the multiple regression analysis.The forecast power of the model was 0.33.Of the methods used,the artificial neural network consisting of 2 L10 N(2 Layers 10 Neurons)had the highest margin of explanation(R^(2)=0.71)and the lowest margin of error.This model has the potential to open land aimed for afforestation studies with red pine in forestry areas.The results will shed light on afforestation studies to be carried out in the Western Mediterranean region and in similar ecosystems.展开更多
Red Pine seedlings were grown in the potted soils with different acidity (pH=4.5,5.5,6.5,7.5,8.0) to investigate their physiological responses to soil pH,and futher to evaluate the soil pH feasibility. Dramatic physio...Red Pine seedlings were grown in the potted soils with different acidity (pH=4.5,5.5,6.5,7.5,8.0) to investigate their physiological responses to soil pH,and futher to evaluate the soil pH feasibility. Dramatic physiological responses of Red Pine seedlings were detected under various soil pH treatments. Under soil pH 5.5,the seedling foliages grew best,with the lowest malondialdehyde content,ion leakage and soluble substance content,and the highest carotinoid content and antioxidant enzyme activities;With soil pH 7.5 and 8.0 treatments,the seedling needles developed poorest,with greater membrane lipid peroxidation and lower antioxidant enzyme activities,and the greater cell membrane injury and soluble substance content. Results suggested that Red Pine seedlings was mostly adapt to soil with pH of 5.5,followed by soils with pH of 4.5 and 6.5,and could hardly adapted to soil with pH of 7.5 and higher.展开更多
基金supported by Forestry Department of Yenisarbademli Vocational School(Isparta University of Applied Sciences)。
文摘Turkish red pine is an important forest tree species because of its role in the ecosystem whose range includes many countries in the eastern Mediterranean basin.In addition,red pine is a preferred forest tree species due to rapid growth,usage in afforestation in arid areas and the production of non-wood forest products such as resin.The aim of the study was to examine the relationship between the productivity of red pine and ecosystem in the lower and middle belt of the Taurus Mountains,and to determine the interrelations between the productivity of red pine and ecosystem.Multivariate analyses(multiple regression analysis and artificial neural networks)were used to model the efficiency(biomass production)of red pine.From the multivariate analyses,a productivity model of the species was created with the slope,soil depth,and precipitation in the driest variables.A significant correlation was found between site index and site factors in the driest quarter.These variables had a statistically significant relationship with the site index in the multiple regression analysis.The forecast power of the model was 0.33.Of the methods used,the artificial neural network consisting of 2 L10 N(2 Layers 10 Neurons)had the highest margin of explanation(R^(2)=0.71)and the lowest margin of error.This model has the potential to open land aimed for afforestation studies with red pine in forestry areas.The results will shed light on afforestation studies to be carried out in the Western Mediterranean region and in similar ecosystems.
文摘Red Pine seedlings were grown in the potted soils with different acidity (pH=4.5,5.5,6.5,7.5,8.0) to investigate their physiological responses to soil pH,and futher to evaluate the soil pH feasibility. Dramatic physiological responses of Red Pine seedlings were detected under various soil pH treatments. Under soil pH 5.5,the seedling foliages grew best,with the lowest malondialdehyde content,ion leakage and soluble substance content,and the highest carotinoid content and antioxidant enzyme activities;With soil pH 7.5 and 8.0 treatments,the seedling needles developed poorest,with greater membrane lipid peroxidation and lower antioxidant enzyme activities,and the greater cell membrane injury and soluble substance content. Results suggested that Red Pine seedlings was mostly adapt to soil with pH of 5.5,followed by soils with pH of 4.5 and 6.5,and could hardly adapted to soil with pH of 7.5 and higher.
