黄土丘陵沟壑区生态风险动态变化及其地形梯度分析——以陕西省米脂县为例
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西北大学城市与环境学院,西北大学城市与环境学院,西北大学城市与环境学院,西北大学城市与环境学院,西北大学城市与环境学院

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国家自然科学基金项目(41671086,41271103)


The dynamic changes to ecological risk in the loess hilly-gully region and its terrain gradient analysis: a case study of Mizhi County, Shaanxi Province, China
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Northwest University,College of Urban and Environmental Science,Northwest University,College of Urban and Environmental Science,Northwest University,,

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The National Natural Science Foundation of China(41671086);The National Natural Science Foundation of China(41271103)

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    摘要:

    以黄土丘陵沟壑区陕西省米脂县为研究区,综合考虑区域农耕生态背景与社会经济发展状况,建立了以农耕生态风险概率与自然-社会复合系统损失度耦合的综合生态风险评价体系,分析了2009年、2015年土地利用生态风险的时空分异,并依托地形分布指数探究了生态风险与地形起伏度的关系,得出如下结论:米脂县土地利用变化明显,主要表现为耕地减少,林地与荒地增加;米脂县2009年、2015年综合生态风险指数分别为0.1466、0.1607,农耕风险胁迫增大,风险高值区片状分布于米脂县中部,研究期间有向川道集聚的趋势;低风险优势分布于起伏度高值区,高风险则优势分布于起伏度低值区,研究期间风险向较高地形起伏度迁移明显,同时高风险区域在起伏度低值区上的分布也更加集聚。

    Abstract:

    The land ecosystem, the area utilized by man for economic gain, is an essential part of the global terrestrial ecosystem. Anthropogenic changes to land use inevitably result in a variety of changes to the structure and ecological processes of ecosystems, which result in ecological risks. It is therefore important to quantify and evaluate the ecological risks driven by many different sources. Ecological risk assessment can provide a strong scientific basis for future research on the relationship between the ecological environment and anthropogenic effects, especially in the loess hilly-gully region of Mizhi County, Shaanxi Province, China. Land use data for 2009-2015 showed that seven types of land use can be categorized in this area:farmland, forest, grassland, orchard, water body, construction land, and wasteland. A 2 km×2 km grid was established as the auxiliary evaluation unit for this area, and ArcGIS was used as the data integration analysis platform. The agricultural background and socioeconomic development of the research area were taken into consideration and the Agricultural Ecological Risk Possibility (AERP) and Natural-Social Loss Index (NSLI) were used to construct a Comprehensive Ecological Risk (CER) evaluation system. The land use change characteristics in the research area were analyzed quantitatively and maps of comprehensive ecological risk were then generated using spatial interpolation. The spatial-temporal variation for ecological risk was also investigated. Finally, the relationship between ecological risk and terrain relief was examined using the terrain distribution index. Several conclusions were drawn from this analysis:1) although land use in the Mizhi area has experienced considerable change, farmland and grassland still accounted for more than 68% of the land use in this region. However, land use change data showed that there had been a reduction in farmland and an increase of forest and wasteland. The policy of returning farmland to forest or wasteland, a result of various economic factors, has led to a significant transformation of farmland to forests. 2) The study area was divided into five ecological risk classes using the natural breaks method. These were risk region I (CER < 0.095), risk region Ⅱ (0.095 ≤ CER < 0.139), risk region Ⅲ (0.139 ≤ CER < 0.183), risk region IV (0.183 ≤ CER < 0.24), and risk region V (CER > 0.24). Between 2009 and 2015, the comprehensive ecological risk index increased from 0.1466 to 0.1607, which was an increase of 9.65%. The ecological risk levels showed a tendency to increase during the study period, which indicated that ecosystems had become degraded. The ecological risk assessment showed that the comprehensive ecological risk level moved from the Ⅱ/Ⅲ level to the Ⅲ/IV level between 2009 and 2015. Spatial differences in comprehensive ecological risk were also significantly different in the research area. Regions with a higher risk level were mainly located towards the center of the research region, and are the key areas for ecological restoration and pattern regulation. 3) Ecological risk was closely related to terrain relief. Regions with lower risk levels were mainly distributed in areas with a higher relief, and vice versa. The results showed that at risk areas began to move on to the higher relief land during the study period. However, regions with higher risk levels were mainly concentrated in the lower relief areas.

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刘迪,陈海,梁小英,马胜,王嘉妮.黄土丘陵沟壑区生态风险动态变化及其地形梯度分析——以陕西省米脂县为例.生态学报,2018,38(23):8584~8592

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