1. 赣南师范大学 地理与环境工程学院,江西,赣州,341000
2. 中国地震局地质研究所,北京,100029
3. 赣南师范大学 数学与计算机科学学院,江西,赣州,341000
纸质出版:2020
移动端阅览
周介元, 孟丽红, 吴绍雄, 等. 浙江省生态安全格局时空演变特征及其影响因素[J]. 水土保持通报, 2020,40(6):266-272.
Zhou Jieyuan, Meng Lihong, Wu Shaoxiong, et al. Spatial-temporal Evolution Characteristics and Influencing Factors of Ecological Security Pattern in Zhejiang Province[J]. Bulletin of Soiland Water Conservation, 2020, 40(6): 266-272.
周介元, 孟丽红, 吴绍雄, 等. 浙江省生态安全格局时空演变特征及其影响因素[J]. 水土保持通报, 2020,40(6):266-272. DOI: 10.13961/j.cnki.stbctb.2020.06.038.
Zhou Jieyuan, Meng Lihong, Wu Shaoxiong, et al. Spatial-temporal Evolution Characteristics and Influencing Factors of Ecological Security Pattern in Zhejiang Province[J]. Bulletin of Soiland Water Conservation, 2020, 40(6): 266-272. DOI: 10.13961/j.cnki.stbctb.2020.06.038.
[目的] 研究浙江省生态安全格局时空演变特征及影响因素,为该省生态安全建设提供科学参考,以保障长江经济带经济、社会、生态的全局发展。[方法] 以2009-2018年浙江省各市经济、社会、环境资料和"压力-状态-响应(PSR)"生态安全评价指标体系为基础,采用熵值法从时间维度和空间维度对浙江省2009-2018年生态安全格局时空演变特征进行了分析,并结合PSR分项指数和因子分析法提取关键因素,揭示关键因素对生态安全的影响。[结果] ①2009-2018年浙江省生态安全综合指数呈小幅波动状态;②从空间来看,浙江省各市生态安全指数已经达到了预警状态,呈现由"南高北低"向"北高南低"转变的空间格局;③从时间节点来看,浙江省生态安全状况最好的年份为2016年(0.123),最差的年份为2011年(0.077),分别处于较安全状态和临界安全状态;④城镇化、经济发展、社会发展、工业发展和资源条件是影响浙江生态安全格局的重要因素。[结论] 国家和区域的规划与政策对浙江省生态安全指数具有显著影响,为了全面保障浙江省生态安全健康发展,需要不断加大生态安全建设的投入,持续推进"五水共治",促进制造业智能化,绿色化,在古村落、特色小镇等培育一批生态文明典型示范点,改善生态环境质量。
[Objective] The ecological security pattern and its influencing factors were studied in order to provide basis and reference for the construction of ecological security in Zhejiang Province
and ensure the overall economic
social and ecological development of the Yangtze River Economic Zone.[Methods] Based on the economic
social and environmental data and the "pressure-state-response (PSR)"" ecological safety evaluation index system
the spatial-temporal evolution characteristics of ecological security pattern in Zhejiang Province from 2009 to 2018 were analyzed by entropy method. The key factors that revealing the impact of key factors on ecological security were extracted by combining the PSR sub-index and factor analysis method.[Results] ① From 2009 to 2018
the comprehensive eco-security index (ESI) of Zhejiang Province fluctuated slightly. ② From the perspective of space
the ESI of Zhejiang Province has reached the early warning state
showing a spatial pattern of changing from "high in the south and low in the north" to "High in the north and low in the south". ③ From the perspective of time nodes
the best year for ecological security of Zhejiang Province was 2016 (0.123)
while the worst year was 2011 (0.077)
which were in a relatively safe state and a critical security state respectively. ④ Urbanization
economic development
social development
industrial development and resource condition were the important factors affecting the ecological security pattern in Zhejiang Province.[Conclusion] National and regional planning and policies impact the ecological safety index of Zhejiang Province significantly. In order to fully guarantee the ecological safety and healthy development of Zhejiang Province
it is necessary to continuously increase investment in ecological safety construction
promote the co-administration of five kinds of water
promote intelligent and green manufacturing industry
cultivate a number of typical demonstration sites of ecological civilization in ancient villages and characteristic towns
and improve the ecological environment quality.
王根绪,程国栋,钱鞠.生态安全评价研究中的若干问题[J].应用生态学报,2003,14(9):1551-1556.
张晶,刘耀林,陈新明.基于生态足迹的浙江省生态安全动态研究[J].水土保持通报,2008,28(4):185-190.
邓永芳,刘国和.新时代中国特色社会主义生态文明建设的理论体系:关于十九大报告生态文明建设的十个理论层面[J].南京林业大学学报(人文社会科学版),2019,19(6):1-10.
黄木易,岳文泽,冯少茹,等.基于MCR模型的大别山核心区生态安全格局异质性及优化[J].自然资源学报,2019,34(4):771-784.
张继权,伊坤朋, Hiroshi Tani,等.基于DPSIR的吉林省白山市生态安全评价[J].应用生态学报,2011,22(1):189-195.
Wang Hong, Long Huiling, Li Xiaobing, et al. Evaluation of changes in ecological security in China's Qinghai Lake basin from 2000 to 2013 and the relationship to land use and climate change[J]. Environmental Earth Sciences, 2014,72(2):341-354.
Pei Liang, Du Liming, Yue Guijie. Ecological security assessment of Beijing based on PSR model[J]. Procedia Environmental Sciences, 2010,2(2):832-841.
刘庆,陈利根,舒帮荣,等.长株潭城市群土地生态安全动态评价研究[J].长江流域资源与环境,2010,19(10):1192-1197.
赵鹏宇;薛慧敏.基于PSR模型的能源-生态复合区生态安全预警研究:以山西省忻州市为例[J].水土保持通报,2020,40(2):285-290,298.
谭华清;张金亭;周希胜.基于最小累计阻力模型的南京市生态安全格局构建[J].水土保持通报,2020,40(3):282-289.
叶鑫,邹长新,刘国华,等.生态安全格局研究的主要内容与进展[J].生态学报,2018,38(10):3382-3392.
袁媛,罗志军,赵杰,等.基于景观结构和空间统计学的南昌市景观生态安全评价[J].水土保持研究,2020,27(3):247-255.
吕广斌,廖铁军,姚秋昇,等.基于DPSIR-EES-TOPSIS模型的重庆市土地生态安全评价及其时空分异[J].水土保持研究,2019,26(6):249-258,266.
王振波,梁龙武,方创琳,等.京津冀特大城市群生态安全格局时空演变特征及其影响因素[J].生态学报,2018,38(12):4132-4144.
刘菁华,李伟峰,周伟奇,等.京津冀城市群扩张模式对区域生态安全的影响预测[J].生态学报,2018,38(5):1650-1660.
陈利顶,周伟奇,韩立建,等.京津冀城市群地区生态安全格局构建与保障对策[J].生态学报,2016,36(22):7125-7129.
熊秀海.浙江余姚市景观生态安全时空演变研究[D].湖北武汉:武汉大学,2017.
彭建,赵会娟,刘焱序,等.区域生态安全格局构建研究进展与展望[J].地理研究,2017,36(3):407-419.
Malin F, Mken M. Human livelihood security versus ecological security:An ecohydrological perspective[R]. Stockholm International Water Institute, 2002.
Valentina F, Silvia P. Ecological land suitability analysis through spatial indicators:An application of the analytic network process technique and ordered weighted average approach[J]. Ecological Indicators, 2013,34:507-519.
Foltete J C, Clauzel C, Vuidel G. A software tool dedicated to the modelling of landscape networks[J].Environmental Modelling & Software, 2012,38:316-327.
Xiao Sun, Crittenden J C, Feng Li, et al. Urban expansion simulation and the spatio-temporal changes of ecosystem services:A case study in Atlanta Metropolitan area, USA[J]. Science of the Total Environment, 2018,622/623:974-987.
Yang Bai, Wong C P, Jiang Bo, et al. Developing China's Ecological Redline Policy using ecosystem services assessments for land use planning[J]. Nature communications, 2018, 9(1):3034.
董晓峰,刘申,刘理臣,等.基于熵值法的城市生态安全评价:以平顶山市为例[J].西北师范大学学报(自然科学版),2011,47(6):94-98.
谢亦欣,袁章帅,邹怡,等.基于PSR模型-熵权法的土地生态安全评价:以上海市为例[J].北京印刷学院学报,2019,27(8):94-98.
韩雅琴,白中科,张继栋,等."一带一路"背景下东南亚地区生态安全评价研究[J].生态经济,2020,36(6):181-187.
0
浏览量
992
下载量
4
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621