Research on Soil Erosion Vegetation Factor Index Based on Community Structure
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Research on Soil Erosion Vegetation Factor Index Based on Community Structure
Vol. 22, Issue 5, (2008)
作者机构:
作者简介:
基金信息:
DOI:
CLC:S157.1
Published:2008
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LEI Wan-ning1, 2. Research on Soil Erosion Vegetation Factor Index Based on Community Structure[J]. 2008, 22(5).
DOI:
LEI Wan-ning1, 2. Research on Soil Erosion Vegetation Factor Index Based on Community Structure[J]. 2008, 22(5).DOI:
Research on Soil Erosion Vegetation Factor Index Based on Community Structure
摘要
通过分析传统生态学盖度在指示植被防止水土流失功能的不足
以植被垂直结构中各个层次控制水土流失的机理为依据
提出结构化植被因子指数Cs这一新的指标
建立了植被因子指数模型并进行了案例分析。结果表明:油松和山杨群落中
林冠层、草被层及枯枝落叶层都是植被防止水土流失的关键层次
其盖度对于防止水土流失的作用权重分别为0.0150
0.591
0.394和0.0608
0.828
0.112。结构化植被因子指数考虑了群落结构中各层次的相对作用
并结合各层次的盖度来综合反映植被影响水土流失的作用
比传统的生态学盖度能更好地描述植被与土壤侵蚀的关系
是一种理想的植被因子指标。
Abstract
Vegetation is one of the important factors affecting soil and water loss
thus is regarded as one of the key parameters of soil erosion prediction.It's well known that the vertical structure of vegetation is composed of different layers and each layer has different impact on soil erosion
yet the traditional coverage cannot reflect the impact of different layers on soil erosion
and sometimes overestimate or underestimate the impact of vegetation on soil erosion.With the consideration of this fact
a new vegetation factor index Cs
structured vegetation factor index
was proposed and the vegetation index factor models have been established using multiple regressions in this paper.The case study in the locust tree and the Chinese pine communities showed that tree layer
herb layer and litter layer are important to prevent the soil erosion and their weights are 0.0150
0.591
0.394 and 0.0608
0.828
0.112 respectively for the Chinese pine and the aspen communities.Structured vegetation factor index
which considering the relative roles and coverage of each layer in the vegetation communities
could be better than traditional coverage in describing the relationship between vegetation and soil erosion.This could be an idealized indicator and have great significance for both soil erosion evaluation and prediction and the vegetation constructions for soil and water conservation.