Evaluation of land ecological security in Chongqing based on the matter-element analysis-DPSIR model
ZHANG Feng-tai1,2, WANG La-chun1, SU Wei-ci3
1. School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210093, China; 2. School of Geography Science & Tourism, Guizhou Normal College, Guiyang 550018, China; 3. Institute of Mountain Resource, Guizhou Academy of Sciences, Guiyang 550001, China
Abstract:This paper builded evaluation index system of land ecological security based on driving force-pressure-state- impact-response (DPSIR) conceptual framework, using grey correlation model of empowerment, and introduced matter-element analysis method to evaluate land ecological security in Chongqing, the results showed that: ①In 1997and 2005, land ecological security of Chongqing belonged to unsafe level; In 2001, at a safer level; In 2009 and 2012, at a safe level, in 1997~2012 showed a trend of turned for the better, but as a result of correlation degree less than zero, the land ecological security level was not stable. ② Fragile land ecological system in Chongqing, weak bearing interference ability; ③After Municipalities directly under the central government in 1997, the development of society and economy, the environmental protection consciousness promoting, government efforts in ecological environment construction and Environmental protection investment increasing were guarantee of effective promotion of land ecological security in Chongqing. Population growth, the rapid development of economic society and urbanization, agricultural non-point source pollution were limiting factors of land ecological security. ④The applicability of the evaluation model and index system was stronger, the evaluation results more objective, provides a reference for land ecological security evaluation method.
张凤太, 王腊春, 苏维词. 基于物元分析-DPSIR概念模型的重庆土地生态安全评价[J]. 中国环境科学, 2016, 36(10): 3126-3134.
ZHANG Feng-tai, WANG La-chun, SU Wei-ci. Evaluation of land ecological security in Chongqing based on the matter-element analysis-DPSIR model. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(10): 3126-3134.