| 中国六省土地沙漠化敏感性时空格局与趋势分析 |
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| 引用本文： | 王跃辉1,2,3,4,张林波1,2,3,郭杨1,2,3,何萍1,2,3,刘伟玲1,2,3,杜加强1,2,3,王丽霞1,2,3. 中国六省土地沙漠化敏感性时空格局与趋势分析[J]. 水土保持研究, 2014, 21(5): 132-137,143 |
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| 作者姓名： | 王跃辉1 2 3 4 张林波1 2 3 郭杨1 2 3 何萍1 2 3 刘伟玲1 2 3 杜加强1 2 3 王丽霞1 2 3 |
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| 作者单位： | 1. 中国环境科学研究院, 北京 100012;2. 国家环境保护区域生态过程与功能评估重点实验室, 北京 100012;3. 中国环境科学研究院 环境基准与风险评估国家重点实验室, 北京 100012;4. 西南林业大学 林学院, 昆明 650224 |
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| 摘 要： | 以我国新疆维吾尔自治区、青海省、内蒙古自治区、甘肃省、宁夏回族自治区和陕西省六省区为研究区，分析了1990年、2000年、2005年、2010年4个时期的土地沙漠化敏感性空间格局分布和时间动态变化特征，探讨变化成因并采用CA-Markov耦合模型对土地沙漠化敏感性格局变化趋势进行预测。结果表明:中国六省四期土地沙漠化敏感性格局相似，各级敏感区按分布面积大小排序为:轻度敏感区域 > 中度敏感区域 > 高度敏感区域 > 不敏感区域 > 极敏感区域。极敏感区域主要分布在土壤质地为流动沙地的沙漠区域，不敏感区域主要分布在高山、湖泊附近；人口增多、人为活动强度增加的区域敏感性程度增高；建立治沙工程的区域敏感性降低。对2020年土地沙漠化敏感性格局预测结果显示，相比2010年，极敏感区域在原有的基础上向外围扩张了7 120.04 km2，增幅为4.63%。本文通过分析中国六省土地沙漠化敏感性时空格局与趋势，为中国土地沙漠化防治分区策略制定和划分沙漠化扩展屏障区提供科学依据。
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| 关 键 词： | 土地沙漠化 敏感性 CA-Markov耦合模型 时空格局 |
Analysis of Spatiotemporal Pattern and Tendency of Land Desertification Sensitivity in Six Provinces of China |
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| WANG Yue-hui1,2,3,4,ZHANG Lin-bo1,2,3,GUO Yang1,2,3,HE Ping1,2,3,LIU Wei-ling1,2,3,DU Jia-qiang1,2,3,WANG Li-xia1,2,3. Analysis of Spatiotemporal Pattern and Tendency of Land Desertification Sensitivity in Six Provinces of China[J]. Research of Soil and Water Conservation, 2014, 21(5): 132-137,143 |
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| Authors: | WANG Yue-hui1 2 3 4 ZHANG Lin-bo1 2 3 GUO Yang1 2 3 HE Ping1 2 3 LIU Wei-ling1 2 3 DU Jia-qiang1 2 3 WANG Li-xia1 2 3 |
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| Affiliation: | 1. Chinese Research Academy of Environmental Sciences, Beijing 100012, China;2. State Environment Protection Key Laboratory of Regional Eco-process and Function Assessment, Beijing 100012, China;3. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;4. College of Forestry, Southwest Forestry University, Kunming 650224, China |
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| Abstract: | This research firstly analyzed the spatial distribution patterns and temporal dynamic characteristics of land desertification sensitivity of four periods (1990, 2000, 2005, 2010) in six provinces and regions of China: Xinjiang Uygur Autonomous Region, Qinghai Province, Gansu Province, Ningxia Hui Autonomous Region, Inner Mongolia Autonomous Region, Shaanxi Province. Then the causes of these changes were investigated with CA-Markov coupling model to predict the trends of land desertification sensitivity pattern. The results indicated that the desertification sensitivity patterns of the four periods were similar each other for the six provinces. The sensitivity levels could be characterized and the sum areas of the levels could be ordered as mildly sensitive region > moderate sensitive region > high sensitive region > non-sensitive region > extreme sensitive region. Extreme sensitive regions were mainly located in the desert areas with the soil texture being drifting sand dunes, while non-sensitive regions mainly distributed in mountains and lakes nearby. The regional sensitive level increased with the increase of local population and human activity intensity. On the contrary, the regional sensitive level decreased with the increase of the establishment of sand engineering area. The results of the predictions for the desertification sensitivity pattern in 2020 indicated that extremely sensitive area expanded 7 120.04 km2 with the growth rate of 4.63% compared with 2010. This research provides a scientific basis for China desertification prevention, desert region partitioning strategy and the way to divide the desertification extension barrier area by analyzing the spatiotemporal pattern and trend of land desertification sensitivity in six provinces of China. |
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| Keywords: | land desertification sensitivity CA-Markov coupling model temporal pattern |
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