叶文, 王会肖, 许新宜, 王红旗, 王红瑞, 王国强. 资源环境承载力定量分析——以秦巴山水源涵养区为例[J]. 中国生态农业学报(中英文), 2015, 23(8): 1061-1072. DOI: 10.13930/j.cnki.cjea.150190
引用本文: 叶文, 王会肖, 许新宜, 王红旗, 王红瑞, 王国强. 资源环境承载力定量分析——以秦巴山水源涵养区为例[J]. 中国生态农业学报(中英文), 2015, 23(8): 1061-1072. DOI: 10.13930/j.cnki.cjea.150190
YE Wen, WANG Huixiao, XU Xinyi, WANG Hongqi, WANG Hongrui, WANG Guoqiang. Quantitative analysis of resource and environment carrying capacity for Water Conservation Area in Qin-Ba Mountains[J]. Chinese Journal of Eco-Agriculture, 2015, 23(8): 1061-1072. DOI: 10.13930/j.cnki.cjea.150190
Citation: YE Wen, WANG Huixiao, XU Xinyi, WANG Hongqi, WANG Hongrui, WANG Guoqiang. Quantitative analysis of resource and environment carrying capacity for Water Conservation Area in Qin-Ba Mountains[J]. Chinese Journal of Eco-Agriculture, 2015, 23(8): 1061-1072. DOI: 10.13930/j.cnki.cjea.150190

资源环境承载力定量分析——以秦巴山水源涵养区为例

Quantitative analysis of resource and environment carrying capacity for Water Conservation Area in Qin-Ba Mountains

  • 摘要: 在全国范围生态文明建设的时代背景下, 开展生态型地区的可持续发展研究是一项重要课题。生态型地区资源环境承载力作为区域经济发展的一部分, 对其客观准确的评估具有十分重要的实践意义。在区域调研资料的基础上, 依据当地发展特点, 在ESI模型和状态空间法的基础上, 构建了区域资源环境承载力评价指标体系, 并以秦巴山水源涵养区为例, 对区域的生态现状承载情况及资源开发利用与污染排放情况进行综合评价, 并从资源能源消耗和污染排放的角度定量分析人类活动影响下的区域环境健康状况; 采用2010年的区域统计相关数据分析了其空间序列的资源环境承载分布情况, 探讨了区域生态承载力与社会经济压力之间的关系。研究发现: 该区生态环境十分脆弱, 生态承载力指数最低的县市只有0.135; 生态承载力的空间分布差异明显, 中南部生态承载力指数较高,最大值为0.795; 水源涵养能力和固碳吐氧能力是生态承载力空间分布差异的主控因子。研究区社会经济压力指数较高, 最高地区达到0.517, 表明社会经济发展对环境压力大; 资源能源消耗与环境污染相互关系分析表明, 区域发展在一定程度上依赖资源能源消耗; 社会经济压力指数的主控因子是单位面积工业三废排放量、人口密度、能耗指数和单位面积生活污水排放量。研究区资源环境承载力中南部较大, 少数“超载”区域指数值高达6.790, 承载力分布特点总体中部好于周边; 区域资源环境承载力的最大影响因子是年平均气温、植被覆盖度和单位面积生活污水排放量。脱钩指数分析显示生态或社会经济发展单方面对资源环境承载力的影响较小, 为“相对脱钩”; 发展压力受植被覆盖度和生活污水排放量等影响大, 但是总体仍处发展稳定阶段, 需要分区域制定发展对策。

     

    Abstract: Under nationwide construction of ecological civilization, research on the sustainable development of ecological regions has become increasingly important. As resources and environment carrying capacity of important ecological areas are part of regional economic development, there is practical significance for its objective and accurate evaluation. Water Conservation Area in Qin-Ba Mountains is critical for water conservation and biodiversity protection of area between Qinling Mountain and Daba Mountain, a region with a total area of 183 697.03 km2. In this study, the carrying capacity of resources and environment of the Water Conservation Area in Qin-Ba Mountains were evaluated based on data from regional survey and theoretical framework of ESI model and state-space method. The evaluation system of the carrying capacity of resources and environment was established according to the local development characteristics. This included two target layers (ecological carrying capacity and social and economic pressure) and 18 indexes. The regional ecological carrying capacity, resources exploitation and pollution discharge conditions of the Water Conservation Area in Qin-Ba Mountains were assessed. The regional environmental conditions affected by human activities were quantitatively analyzed. Also using 2010 regional statistical data, the distribution of resources and environment carrying capacity of the study area was analyzed, and the relationship between ecological carrying capacity and social economic pressure explored. The results showed that the ecological environment of the Water Conservation Area in Qin-Ba Mountains was fragile, with the smallest ecological carrying capacity index of 0.135. There were significant differences in the spatial distribution of the ecological carrying capacity, with higher ecological carrying capacity index in the central and southern parts of the study area, and with the highest value of 0.795. Water retention capacity, carbon sequestration and oxygen release ability were the main driving factors of the ecological carrying capacity of the area. Social and economic pressure index of the study area was higher, with the highest value of 0.517. This suggested that there was a great pressure on the ecological environment, driven by social and economic development. The correlation between resource consumption and environmental pollution indicated that the development of the area somewhat depended on resource consumption. The main driving factors of social and economic pressure index were industrial “three-waste” emissions per unit area, population density, energy consumption index and domestic sewage discharge per unit area. The resources and environment carrying capacity of the central and southern parts of the study area were higher than those of the periphery areas. In few “overload” areas, the highest index reached 6.790. The driving factors of the resources and environment carrying capacity were average annual temperature, vegetation cover and domestic sewage discharge per unit area. Decoupling index showed that the separate effects of ecological or social factors on the resources and environment carrying capacity of the area were small, belonging to “relative decoupling”. In general, the effects of vegetation cover and sewage discharge were obvious. Overall, the development of the area was still at the steady stage. It was necessary to make different development strategies for different regions in the study area.

     

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