Spatial relationship between landscape ecological risk and ecosystem service value in Fujian Province, China during 1980-2020

doi:10.13287/j.1001-9332.202206.023

Abstract

Abstract: Understanding the relationship between landscape ecological risk and ecosystem service value (ESV) is important for building an ecological security pattern and enhancing human well-being. Taking Fujian Province as the research area, based on the remote sensing monitoring data of land use in 1980, 2000, and 2020, we carried out a grid resampling size of 5 km × 5 km in the study area, quantitatively evaluated the landscape ecological risk and ESV, and analyzed the spatio-temporal variations. The spatial correlation between landscape ecological risk and ESV was investigated by using the bivariate spatial autocorrelation analysis and the spatial regression models. The results showed that the landscape ecological risk level in Fujian Province changed from medium level to low level, with the situation being improved. The landscape ecological risk level was generally higher in the east region and lower in the west region. ESV generally declined. The functional structure of each ecosystem was relatively stable. ESV spread from high to low with high value area as the core. There was a significant negative spatial correlation between landscape ecological risk and ESV. Landscape ecological risk had a negative effect on ecosystem total ser-vice value, with the strongest impact on the supply function.

Key words: landscape ecological risk, ecosystem service value, spatial regression model, Fujian Province

ZHU Run-miao, CHEN Song-lin. Spatial relationship between landscape ecological risk and ecosystem service value in Fujian Province, China during 1980-2020[J]. Chinese Journal of Applied Ecology, 2022, 33(6): 1599-1607.

References

[1] Zhou ZX, Qiu LH. Experimental study on effect of urbanization on service functions of ecosystem: A case study in southern suburbs of Xi’an city. Arid Zone Research, 2011, 28: 674-679
[2] 周华锋, 马克明, 傅伯杰. 人类活动对北京东灵山地区景观格局影响分析. 自然资源学报, 1999, 14(2): 22-27
[3] 李景刚, 何春阳, 李晓兵. 快速城市化地区自然/半自然景观空间生态风险评价研究——以北京为例. 自然资源学报, 2008, 23(1): 33-47
[4] 曹祺文, 张曦文, 马洪坤, 等. 景观生态风险研究进展及基于生态系统服务的评价框架: ESRISK. 地理学报, 2018, 73(5): 843-850
[5] 孔雪松, 陈俊励, 王静, 等. 耦合土地利用格局与过程变化的生态干扰评价——以长三角地区为例. 地理科学, 2021, 41(11): 2031-2041
[6] Peng J, Zong ML, Hu YN, et al. Assessing landscape ecological risk in a mining city: A case study in Liaoyuan City, China. Sustainability, 2015, 7: 8312-8334
[7] 张莹, 雷国平, 林佳, 等. 扎龙自然保护区不同空间尺度景观格局时空变化及其生态风险. 生态学杂志, 2012, 31(5): 1250-1256
[8] 张文静, 孙小银, 单瑞峰, 等. 1975—2018年南四湖流域景观生态风险时空变化及其驱动因素研究. 生态科学, 2020, 39(3): 172-181
[9] Liu S, Bai M, Yao M. Integrating ecosystem function and structure to assess landscape ecological risk in traditional village clustering areas. Sustainability, 2021, 13, DOI: 10.3390/ SU13094680
[10] Wang XZ, Wu JZ, Liu YL, et al. Driving factors of ecosystem services and spatiotemporal change assessment based on land use types in the Loess Plateau. Journal of Environmental Management, 2022, 311, DOI: 10.1016/j.jenvman.2022.114835
[11] 彭建, 党威雄, 刘焱序, 等. 景观生态风险评价研究进展与展望. 地理学报, 2015, 70(4): 664-677
[12] 康鹏, 陈卫平, 王美娥. 基于生态系统服务的生态风险评价研究进展. 生态学报, 2016, 36(5): 1192-1203
[13] Xing L, Hu MS, Wang Y. Integrating ecosystem ser-vices value and uncertain into regional ecogical risk assessment: A case study of Hubei Province, Central China. Science of the Total Environment, 2020, 740, DOI: 10.1016/j.scitotenv.2020.140126.
[14] 王慧芳, 林子雁, 肖燚, 等. 基于生态系统服务潜在损失的滑坡灾害生态风险评价. 应用生态学报, 2019, 30(10): 3553-3562
[15] 欧阳晓, 朱翔, 贺清云. 基于生态系统服务和生态系统健康的生态风险评价——以长株潭城市群为例. 生态学报, 2020, 40(16): 5478-5489
[16] 谢丽霞, 白永平, 车磊, 等. 基于价值-风险的黄河上游生态功能区生态分区建设. 自然资源学报, 2021, 36(1): 196-207
[17] Deacon S, Norman S, Nicolette J, et al. Integrating ecosystem services into risk management decisions: Case study with Spanish citrus and the insecticide chlorpyrifos. Science of the Total Environment, 2015, 105: 732-739
[18] Malekmohammadi B, Blouchi RL. Ecological risk assessment of wetland ecosystems using multi criteria decision making and geographic information system. Ecological Indicators, 2014, 41: 133-144
[19] 李俊翰, 高明秀. 滨州市生态系统服务价值与生态风险时空演变及其关联性. 生态学报, 2019, 39(21): 7815-7828
[20] 靳甜甜, 张云霞, 朱月华, 等. 黄土高原林区生态系统服务价值与景观生态风险时空变化及其关联性——以子午岭区为例. 应用生态学报, 2021, 32(5): 1623-1632
[21] 李辉, 周启刚, 李斌, 等. 近30年三峡库区生态系统服务价值与生态风险时空变化及相关性研究. 长江流域资源与环境, 2021, 30(3): 654-666
[22] Tran DX, Perason D, Palmer A, et al. Quantifying spatial non-stationarity in the relationship between landscape structure and the provision of ecosystem services: An example in the New Zealand hill country. Science of the Total Environment, 2022, 808, DOI: 10.1016/j.scitotenv.2021.152126
[23] 王佳韡, 伍世代, 王强, 等. 南方山地丘陵区资源环境承载能力监测预警技术方法探讨——以福建省为例. 地理科学, 2019, 39(5): 847-856
[24] 国家统计局. 中国农村统计年鉴1981—2021. 北京: 中国统计出版社, 1981—2021
[25] 欧维新, 王宏宁, 陶宇. 基于土地利用与土地覆被的长三角生态系统服务供需空间格局及热点区变化. 生态学报, 2018, 38(17): 6337-6347
[26] 高彬嫔, 李琛, 吴映梅, 等. 川滇生态屏障区景观生态风险评价及影响因素. 应用生态学报, 2021, 32(5): 1603-1613
[27] 谢小平, 陈芝聪, 王芳, 等. 基于景观格局的太湖流域生态风险评估. 应用生态学报, 2017, 28(10): 3369-3377
[28] 徐丽芬, 许学工, 罗涛, 等. 基于土地利用的生态系统服务价值当量修订方法——以渤海湾沿岸为例. 地理研究, 2012, 31(10):1775-1784
[29] 谢高地, 张彩霞, 张雷明, 等. 基于单位面积价值当量因子的生态系统服务价值化方法改进. 自然资源学报, 2015, 30(8): 1243-1254
[30] 张学斌, 石培基, 罗君. 基于生态系统服务价值变化的生态经济协调发展研究——以石羊河流域为例. 中国沙漠, 2014, 34(1): 268-274
[31] 陈万旭, 刘志玲, 李江风, 等. 长江中游城市群生态系统服务和城镇化之间的空间关系研究. 生态学报, 2020, 40(15): 5137-5150
[32] Wartenberg D. Multivariate spatial correlation: a method for exploratory geographical analysis. Geographical Ana-lysis, 1985, 17: 263-283
[33] Anselin L. A test for spatial autocorrelation in seemingly unrelated regressions. Economics Letters, 1988, 28: 335-341
[34] 孙飞翔, 吕拉昌. 城市紧凑度对中国城市创新的影响. 人文地理, 2021, 36(3): 97-107