基于PSRM模型的宁波市生态脆弱性时空演变及其驱动因素
PDF下载 (48)陈伟峰,苏 雷.基于PSRM模型的宁波市生态脆弱性时空演变及其驱动因素[J].宁波大学学报(理工版),2025,38(1):91-99.DOI:10.20098/j.cnki.1001-5132.2024.0727
CHEN Weifeng,SU Lei.Spatio-temporal evolution of ecological vulnerability and its driving factors in Ningbo City based on PSRM model[J].Journal of Ningbo University(Natural Science & Engineering Edition),2025,38(1):91-99.DOI:10.20098/j.cnki.1001-5132.2024.0727
| Title: | Spatio-temporal evolution of ecological vulnerability and its driving factors in Ningbo City based on PSRM model |
| 作者: | 陈伟峰, 苏 雷 |
| Author(s): | CHEN Weifeng, SU Lei |
| 关键词: | 生态脆弱性; PSRM模型; 地理探测器; CA-Markov模型 |
| Keywords: | ecological vulnerability; PSRM model; geo-detector; CA-Markov model |
| 分类号: | X826 |
| DOI: | 10.20098/j.cnki.1001-5132.2024.0727 |
| 文献标识码: | A |
| 摘要: | 生态脆弱性是衡量区域生态水平的核心议题. 为助力国家实现“十三五”生态质量总体改善的目标, 利用PSRM模型, 选取pm2.5、高程、NDVI等12个指标, 结合综合赋权法、热点分析、CA-Markov模型、地理探测器等方法, 探究宁波市生态脆弱性时空演变特征及其驱动因子. 结果表明: 宁波市的生态脆弱性呈中等水平, 在2000—2020年逐渐降低, 但在预测的时间点(2030年)有小幅度升高; 冷热点区域与脆弱性格局基本一致; pm2.5、年平均降水、年平均气温、生境质量、归一化植被指数、植被净初级生产力为宁波市生态脆弱性的主要驱动因子. 研究结果可为区域生态保护和可持续发展提供科学依据. |
| Abstract: | Ecological vulnerability is the core issue in measuring regional ecological level. In order to help achieve the goal of overall improvement of ecological quality in the 13th National Five-Year Plan, the PSRM model was used, and twelve indicators, including pm2.5, elevation, NDVI, etc., were selected, together with the integrated weighting method, hotspot analysis, CA-Markov model, geo-detector, etc., to explore the spatial and temporal evolution of ecological vulnerability of Ningbo and the driving factors of ecological vulnerability. The results showed that the ecological vulnerability of Ningbo was at a medium level, gradually decreasing from 2000 to 2020, but will be slightly increasing at the predicted time point of 2030; the cold and hotspot areas were basically consistent with the vulnerability pattern; pm2.5, annual average precipitation, annual average temperature, habitat quality, normalized vegetation index, and net primary productivity of vegetation were the main drivers of ecological vulnerability in Ningbo. The results of the study can provide a scientific basis for regional ecological protection and sustainable development. |
| 参考文献 /References: | [1] 姚雄, 余坤勇, 刘健, 等. 南方水土流失严重区的生态脆弱性时空演变[J]. 应用生态学报, 2016, 27(3):735-745. [2] SONG G B, LI Z, YANG Y G, et al. Assessment of ecological vulnerability and decision-making application for prioritizing roadside ecological restoration: a method combining geographic information system, Delphi survey and Monte Carlo simulation[J]. Ecological Indicators, 2015, 52:57-65. [3] 徐广才, 康慕谊, 贺丽娜, 等. 生态脆弱性及其研究进展[J]. 生态学报, 2009, 29(5):2578-2588. [4] 屈志强, 沈婷婷, 徐胜利, 等. 生态脆弱性评价概述[J]. 草原与草业, 2020, 32(3):1-4, 42. [5] BOORI M S, CHOUDHARY K, PARINGER R, et al. Eco-environmental quality assessment based on pressure-state-response framework by remote sensing and GIS[J]. Remote Sensing Applications: Society and Environment, 2021, 23:100530. [6] HE L, SHEN J, ZHANG Y. Ecological vulnerability assessment for ecological conservation and environmental management[J]. Journal of Environmental Management, 2018, 206:1115-1125. [7] BOORI M S, CHOUDHARY K, PARINGER R, et al. Using RS/GIS for spatiotemporal ecological vulnerability analysis based on DPSIR framework in the Republic of Tatarstan, Russia[J]. Ecological Informatics, 2022, 67: 101490. [8] ADGER W N, HUQ S, BROWN K, et al. Adaptation to climate change in the developing world[J]. Progress in Development Studies, 2003, 3(3):179-195. [9] 马小宾, 章锦河, 郭丽佳, 等. 生态环境研究中压力-状态-响应模型应用的陷阱与改善[J]. 生态学报, 2024, 44(12):4923-4932. [10] 孙玮婕, 乔斌, 于红妍, 等. 基于活力-组织力-恢复力的黑河源区高寒湿地景观生态健康评估[J]. 干旱区研究, 2024, 41(2):301-313. [11] 向爱盟, 岳启发, 赵筱青, 等. 国土空间生态修复关键区识别及修复分区: 以西南喀斯特山区开远市为例[J]. 中国环境科学, 2023, 43(12):6571-6582. [12] 徐至真, 王建萍, 韩积斌. 基于SRP模型的柴达木盆地生态脆弱性评价[J]. 盐湖研究, 2024, 32(3):53-60. [13] 孟德友, 李小建, 陆玉麒, 等. 长江三角洲地区城市经济发展水平空间格局演变[J]. 经济地理, 2014, 34(2):50-57. [14] 黄莘绒, 管卫华, 陈明星, 等. 长三角城市群城镇化与生态环境质量优化研究[J]. 地理科学, 2021, 41(1):64-73. [15] IPCC, Stocker T F, Qin D, et al: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change[M]. Cambridge: Cambridge University Press, 2013. [16] 刘翔宇, 张延飞, 丁木华, 等. 长三角中心区生态环境质量评价与空间格局分析[J]. 人民长江, 2021, 52(5): 30-36. [17] 胡茗, 孙超, 赵赛帅, 等. 时序遥感支持下宁波市耕地生态质量扭转过程及驱动力分析[J/OL]. 环境科学, [2024-05-17]. https://doi.org/10.13227/j.hjkx.202311234. [18] 崔馨月, 方雷, 王祥荣, 等. 基于DPSIR模型的长三角城市群生态安全评价研究[J]. 生态学报, 2021, 41(1): 302-319. [19] 黄俊杰, 冯秀丽, 董毓伊, 等. 基于遥感生态指数和图论知识的宁波市生态安全格局构建[J]. 应用生态学报, 2023, 34(9):2489-2497. [20] 高占国, 朱坚, 翁燕波, 等. 多尺度生态系统健康综合评价: 以宁波市为例[J]. 生态学报, 2010, 30(7):1706- 1717. [21] 张培. 基于PSR的长三角区域生态环境质量综合评价及预测[J]. 枣庄学院学报, 2024, 41(2):77-87. [22] JIANG Y J, SHI B, SU G J, et al. Spatiotemporal analysis of ecological vulnerability in the Tibet Autonomous Region based on a pressure-state-response-management framework[J]. Ecological Indicators, 2021, 130:108054. [23] 武帅, 田冰, 顾世杰, 等. 基于PSRM模型的京津冀地区生态脆弱性时空演变[J]. 环境科学, 2023, 44(10): 5630-5640. [24] 刘东亚. 土地利用变化时空动力学方法构建与应用研究[D]. 北京: 中国地质大学(北京), 2019. [25] 黄日鹏, 李加林, 段义斌, 等. 快速城镇化对杭州湾南岸慈溪市土地利用及生态系统服务价值的影响[J]. 中国水土保持科学, 2018, 16(5):105-113. [26] HUANG R J, ZHANG Y L, BOZZETTI C, et al. High secondary aerosol contribution to particulate pollution during haze events in China[J]. Nature, 2014, 514:218-222. [27] KONG L D, YANG Y W, ZHANG S Q, et al. Observations of linear dependence between sulfate and nitrate in atmospheric particles[J]. Journal of Geophysical Research: Atmospheres, 2014, 119(1):341-361. [28] TAIWO A M, HARRISON R M, SHI Z B. A review of receptor modelling of industrially emitted particulate matter[J]. Atmospheric Environment, 2014, 97:109-120. [29] 韩逸, 赵文武, 郑博福. 推进生态文明建设, 促进区域可持续发展: 中国生态文明与可持续发展2020年学术论坛述评[J]. 生态学报, 2021, 41(3):1259-1265. |
| 备注/Memo: | 收稿日期: 2024−07−29. 宁波大学学报(理工版)网址: http://journallg.nbu.edu.cn/ 基金项目: 广东省教育厅特色创新项目(420N50). 第一作者: 陈伟峰, 硕士研究生, 主要研究方向: 景观与区域生态学. E-mail: 2263963785@qq.com *通信作者: 苏雷, 博士/教授, 主要研究方向: 景观与区域生态学. E-mail: sulei@zsc.edu.cn 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ |