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本文系对广东省南亚热带森林土壤有机质估测模式的研究报道。在区内的南昆山、鼎湖山和石牌等地调查了八种植被类型中的69个标准地及龙门县油田林场的28个对照标准地,在调查和分析的基础上分别建立了土壤有机质含量、土壤有机质层厚度和林地单位面积有机质保存量的估测模式.影响土壤有机质形成的主导因子是植被类型、海拔高、植被总盖度、地形部位、坡向和母岩.估测模式精度均大于90％;复相关系数均在0.8以上,大于0.01水准上的R值;实测检验效果较好,理论值与实测值的平均偏差(S_o分别为4.61。0.92和16.7)同模式剩佘标准差(δ分别为4.28,0.94和20.4)相接近。 模式可作为林地有机质调查的直接工具,还为应用遥感图象间接判读森林复被下的土壤有机质提供方法上的依据。
In this paper, we report on the estimation models of soil organic matter in the southern subtropical forests in Guangdong Province. In Nankunshan, Dinghushan and Shipai areas, 69 standard areas of eight types of vegetation and 28 standard areas of Longmen Oilfield were surveyed. Based on the survey and analysis, soil organic matter Soil organic matter layer thickness and organic matter storage per unit area of forest.The dominant factors influencing soil organic matter formation are vegetation type, altitude, total vegetation cover, topography, aspect and parent rock.The accuracy of estimation model All of them were more than 90%; the complex correlation coefficients were all above 0.8, which was higher than the R value of 0.01 level; the measured results were better and the average deviations (S_o = 4.61.0.92 and 16.7) The differences (δ are 4.28, 0.94 and 20.4, respectively) are close. The model can be used as a direct tool for forest organic matter investigation. It also provides a methodological basis for using remote sensing images to indirectly interpret soil organic matter under forest rehabilitations.