赵洋毅.昆明市水源区典型林分对土壤抗侵蚀作用影响研究[J].广东农业科学,2013,40(8):46-50 |
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昆明市水源区典型林分对土壤抗侵蚀作用影响研究 |
Impact of typical forest types on soil erosion in water source area of Kunming |
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DOI: |
中文关键词: 针阔混交林 桉树林 云南松林 土壤抗侵蚀性 小流域 |
英文关键词: conifer forest Eucalyptus forest Pinus yunnanensis forest soil erosion small watershed |
基金项目:西南林业大学科研启动基金(111168);云南省教育厅研究(2013Y114) |
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中文摘要: |
为了阐明昆明市重要水源区不同林分类型对土壤抗侵蚀性的影响,以昆明迤者小流域3 种不同林分下土壤为研究对象,通过野外模拟和室内分析相结合的方法,分析3 种不同林地土壤的抗侵蚀性能。结果表明:3 种典型样地的土壤抗剪强度值差异显著,土壤抗剪强度大小为:云南松林地﹥针阔混交林地﹥桉树林地遥3 种不同林地土壤抗冲系数差异不显著,土壤抗蚀指数针阔混交林地最大(39%),桉树林地次之(37%),云南松林地最小(24%)。桉树伊云南松混交林在大雨强和长历时降雨条件下林下土壤抵抗崩解的效果更显著。用主成分分析法来分析3 种不同林地土壤的抗侵蚀特性,得到3 种不同林地的土壤抗侵蚀性的综合评价模型:Y=0.763Y1+0.236Y2,进而得出不同林地的土壤抗侵蚀性强弱排序为:针阔混交林地(0.150)﹥桉树林地(0.127)﹥云南松林地(-0.079),混交林防治水土流失的效果明显强于纯林。 |
英文摘要: |
In order to clarify the effects of different forest types on the resistance to soil erosion in important water
source areas of Kunming, taking small watershed soils under three different forests as the research objects, through field
simulation and lab analysis methods, analyzed three different soils' erosion resistances. The results showed that the soil
shear strength values of three typical plots were significantly different, and followed the order of Pinus yunnanensis land>conifer land> Eucalyptus woodland. Soil erosion coefficients of three different forests were not significant, as soil resistance index of conifer land was biggest (39%), followed by Eucalyptus woodland (37%) and Yunnan pine (24%). In conditions of big and long duration rainfall, the effect of soil in Eucalyptus 伊Yunnan pine mixed forest on resisting disintegrating was more significant. Using principal component analysis to analyze these three forest soils' resistance to erosion characteristics,the comprehensive evaluation model was obtained: Y=0.763Y1+0.236Y2. And then the order of resistance to erosion of three forest soils was gained, which showed conifer ground (0.150) > Eucalyptus woodland (0.127) > Yunnan pine land (-0.079), so the effect of mixed forests on preventing water loss and soil erosion was better than that of pure forests. |
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