典型沙漠化地区农户对生态环境变化的感知与适应——以内蒙古自治区杭锦旗为例

发布时间：2018-05-01 09:08

  本文选题：生态环境变化 + 农户　； 参考：《干旱区资源与环境》2017年03期

【摘要】：沙漠化地区生态环境十分脆弱,理解农户对生态变化的感知与适应策略选择倾向对于制定科学的生态环境治理政策至关重要。采用参与式的农村评估法(PRA)对地处库布其沙漠腹地的杭锦旗不同区域农户的生态环境变化感知与适应进行了调查与对比分析。结果发现:与2000年相比,大部分农户认为当地的生态环境好转了。其中,牧区受访户对生态好转的认知度低于农区;为改善生态环境,农户在生态保护政策的引导下,采取了向二三产业转移劳动力、改变养殖模式、减少牲畜数量、抽取地下水、精耕细作等措施应对生态环境变化。除精耕细作外,牧区农户采用其他适应策略的比例均远高于农区;农户对生态环境变化的感知与适应具有区域差异性和空间层次性,农户对经济机会的响应影响着其对生态环境变化的感知与适应策略选择,并在此基础上提出了改善当地生态环境的政策建议。
[Abstract]:The ecological environment in desertified areas is very fragile. It is very important to understand the farmers' perception of ecological changes and their tendency to choose adaptive strategies for the formulation of scientific ecological environment management policies. A participatory rural assessment method was used to investigate and analyze the ecological environment change perception and adaptation of farmers in different regions of Hangjin Banner located in the hinterland of Kubuqi desert. The results showed that compared with 2000, most farmers thought the local ecological environment had improved. In order to improve the ecological environment, farmers, under the guidance of the ecological protection policy, adopted the transfer of labor to the secondary and tertiary industries, changed the breeding model, and reduced the number of livestock. Extraction of groundwater, intensive cultivation and other measures to cope with ecological environment changes. With the exception of intensive cultivation, the proportion of farmers adopting other adaptation strategies in pastoral areas is much higher than that in agricultural areas, and farmers' perception and adaptation to ecological changes have regional differences and spatial hierarchies. Farmers' response to economic opportunities affects their perception of ecological environment changes and the choice of adaptation strategies, and on this basis puts forward policy recommendations to improve the local ecological environment.
【作者单位】： 中国科学院寒区旱区环境与工程研究所沙漠与沙漠化重点实验室;甘肃政法学院;中国科学院大学;中国科学院科技战略咨询研究院;
【基金】：国家科技支撑计划项目(2015BAC06B01) 内蒙古自治区科技计划项目资助
【分类号】：X171.1
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本文编号：1828658