Modelling Top Soil Erosion Depend on Stand Profile for Anatolian Black Pine (Pinus nigra Arnold. subsp. pallasiana) Plantation in a Semi-Arid Ecosystem in Turkey

Q3 Engineering
S. Hacisalihoğlu, Zafer Yücesan, Ercan Oktan, Uğur Kezik, H. Karadağ
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引用次数: 0

Abstract

This paper researches top-soil loss depends on Anatolian black pine stands by different canopy density. The stand profile is playing an important role on the living and non-living environment in the ecosystem and it affects directly canopy density (CD), leaf area index and silvicultural treatments and indirectly affects the soil properties. Within the scope of the study, three different canopy densities (60%, 80%, 90%) were taken and the stand profiles were determined by an 20x20 meter sample plots representing the stand. All sample plots were selected under the same habitat conditions (Slope: 5%, Aspect: Northwest, Elevation: 1070 m) to estimate top soil loss model. As a result, the amount of top soil loss was determined as 0.052 t/ha/yr in 60% CD, 0.037 t/ha/yr in 80% CD and 0.017 t/ha/yr in 90% CD respectively. In addition, multiple regression model (Linear, R 2 =0.96) was developed to estimate annual top soil loss depend on DBH (diameter of breast height), and tree height. On the other hand, simple regression model (Quadratic, R 2 =0.98) using tree height variable was improved. Furthermore, more advanced models can be developed in the future by using the stand parameters in different ecological conditions and slope gradients.
土耳其半干旱生态系统中基于林分剖面的安纳托利亚黑松(Pinus nigra Arnold.subsp.pallasiana)人工林表层土壤侵蚀模型
本文研究了不同冠层密度对安纳托利亚黑松林分表层土壤流失的影响。林分剖面对生态系统的生物和非生物环境起着重要作用,它直接影响林冠密度、叶面积指数和造林处理,间接影响土壤性质。在研究范围内,取了三种不同的冠层密度(60%、80%、90%),并通过代表林分的20 × 20米样地确定了林分剖面。所有样地均在相同生境条件下(坡度:5%,坡向:西北,海拔:1070 m)估算表层土壤流失模型。结果表明,60% CD条件下表层土壤流失量为0.052 t/ha/yr, 80% CD条件下为0.037 t/ha/yr, 90% CD条件下为0.017 t/ha/yr。此外,利用多元回归模型(线性,r2 =0.96)估算了胸径和树高对年表层土壤流失量的影响。另一方面,改进了以树高为变量的简单回归模型(二次型,r2 =0.98)。此外,利用不同生态条件和坡度下的林分参数,可以建立更先进的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Forest Engineering
European Journal of Forest Engineering Agricultural and Biological Sciences-Forestry
CiteScore
1.30
自引率
0.00%
发文量
6
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