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广东省南亚热带森林土壤有机质估测模式探讨
AN INVESTIGATION ON THE ESTIMATED PATTERNS OF FOREST SOIL ORGANIC MATTER IN SOUTHERN SUBTROPICAT REGION, GUANGDONG PROVINCE
【摘要】 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。
【Abstract】 This article, was aimed to investigate the estimated patterns of forest soil organic metter in southern subtropical region,Guangdong province, 69 Sample-plots on eight cover typpes in were NAN KUN Shan,Ding Hu Shan and Shipai,and 28 control sample-plots in Youtian,, Longmen County were chosen and designed for investigation,For the purposes of investigation and analysis, three estimated models:were established, the model of soil organic matter content,the model of the depth of soil organic matter layer,and the model of maintaining organic matter content of soil per unit of area in the forest soil. The main factors affecting soil organic matter formation and accumulation involved the following, types of vegetative cover,altitude,total degrees of vegetative cover, reposraphical site,aspect of slope and parent rock. The precision of these estimetad mobels are greatar than o. 9. There -correlation coefficients of estimated models were greater than 0.8, above the R value at level 0.01. Their effects in practical test were significant. The theoretical values and the residuals between means of measured values (So4.61, 0.92, 16.7 respectively) wer near upon the means square of residuals models (b4.28,0.94 and 20.4 respectively) . Themodels could be used as a direct estimting tool for the organic matter investigation in forest soil, and also as a method for indirectly reading the figures of remote sensing in soil organic matter under the forests.
- 【文献出处】 华南农业大学学报 ,Journal of South China Agricultural University , 编辑部邮箱 ,1984年04期
- 【被引频次】1
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