Zhou Bin, Zhong Lin-sheng, Chen Tian, Zhou Rui
Ying Yong Sheng Tai Xue Bao. 2015 Jun;26(6):1854-62.
Ecological security early warning, as an important content of ecological security research, is of indicating significance in maintaining regional ecological security. Based on driving force, pressure, state, impact and response (D-P-S-I-R) framework model, this paper took Zhoushan Islands in Zhejiang Province as an example to construct the ecological security early warning index system, test degrees of ecological security early warning of Zhoushan Islands from 2000 to 2012 by using the method of variable weight model, and forecast ecological security state of 2013-2018 by Markov prediction method. The results showed that the variable weight model could meet the study needs of ecological security early warning of Zhoushan Islands. There was a fluctuant rising ecological security early warning index from 0.286 to 0.484 in Zhoushan Islands between year 2000 and 2012, in which the security grade turned from "serious alert" into " medium alert" and the indicator light turned from "orange" to "yellow". The degree of ecological security warning was "medium alert" with the light of "yellow" for Zhoushan Islands from 2013 to 2018. These findings could provide a reference for ecological security maintenance of Zhoushan Islands.
生态安全预警作为生态安全研究的重要内容,对维护区域生态安全具有指示意义。基于驱动力-压力-状态-影响-响应(D-P-S-I-R)框架模型,本文以浙江省舟山群岛为例构建生态安全预警指标体系,运用变权模型方法对2000—2012年舟山群岛生态安全预警程度进行测度,并采用马尔科夫预测法对2013—2018年生态安全状态进行预测。结果表明,变权模型能够满足舟山群岛生态安全预警的研究需求。2000—2012年舟山群岛生态安全预警指数呈波动上升趋势,由0.286上升至0.484,安全等级由“重度预警”转为“中度预警”,指示灯由“橙色”转为“黄色”。2013—2018年舟山群岛生态安全预警程度为“中度预警”,指示灯为“黄色”。这些研究结果可为舟山群岛生态安全维护提供参考。