| 北方农牧交错带沙尘源植被恢复潜力评价模型研究 |
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| 引用本文： | 陈英义,李道亮.北方农牧交错带沙尘源植被恢复潜力评价模型研究[J].农业工程学报,2008,24(3):130-134. |
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| 作者姓名： | 陈英义 李道亮 |
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| 作者单位： | 中国农业大学信息与电气工程学院,北京100083;现代精细农业系统集成研究教育部重点实验室,北京100083 |
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| 基金项目： | 教育部优秀青年教授资助计划项目 |
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| 摘 要： | 针对北方农牧交错带沙化土地植被恢复进程缓慢和沙尘源植被恢复潜力评价困难的问题,该文采用模糊综合评判模型对北方农牧交错带沙尘源植被恢复能力进行潜力评价.该评价模型首先采用比例标度法对沙尘源影响因素打分,再用改进的层次分析法确定沙尘源植被恢复影响因素的权重,并通过综合指数反映植被恢复能力,最后利用模糊隶属度对植被恢复能力进行分级.试验结果表明:该模型能够确定北方农牧交错带沙尘源植被恢复潜力,并为确定沙尘源植被恢复的优先顺序提供决策依据.
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| 关 键 词： | 农牧交错带 植被恢复 恢复潜力 沙尘源 模糊综合评判 |
| 文章编号： | 1002-6819(2008)03-0130-05 |
| 收稿时间： | 1/7/2007 12:00:00 AM |
| 修稿时间： | 2007年1月7日 |
Evaluation model for revegetation potentiality of sand dust sources in the agro-pastoral ecotone in Northern China |
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| Chen Yingyi and Li Daoliang.Evaluation model for revegetation potentiality of sand dust sources in the agro-pastoral ecotone in Northern China[J].Transactions of the Chinese Society of Agricultural Engineering,2008,24(3):130-134. |
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| Authors: | Chen Yingyi and Li Daoliang |
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| Institution: | 1.College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;2.Key Laboratory of Modern Precision Agriculture System Integration,Ministry of Education,Beijing 100083,China and 1.College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;2.Key Laboratory of Modern Precision Agriculture System Integration,Ministry of Education,Beijing 100083,China |
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| Abstract: | The revegetation progress was slow and there are no methods to evaluate revegetation potentiality of sand sources in the farming-pastoral ecotone in Northern China. This paper describes a evaluation model for revegetation potentiality of sand-sources from the farming-pastoral ecotone in Northern China. First of all, Proportion Criteria is used to assess the values for the factors such as soil quality, climate, landform, vegetation and human activities of the region, which are involved in this model. Improved analytic hierarchy process(AHP) was developed as the primary algorithm in this model. Finally, according to Subordinate Function, the grade of the revegetation potentiality was given. The result shows that this model can be used to identify the difficulties and the priority of rehabilitation for different regions. |
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| Keywords: | faming-pastoral ecotone revegetation revegetation potentiality sand dust sources multi-layer fuzzy synthetic judgment |
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