Spatio-temporal variations of ecosystem service value and its spatial heterogeneity mechanism in the Dongjiang River Basin, China

doi:10.13287/j.1001-9332.202309.020

Abstract

Abstract: Comprehensive and deep research on the variations of ecosystem service value (ESV) based on land utilization/land cover change from a spatio-temporal perspective is of great significance for regional ecosystem optimization, as well as coordinated sustainable development of natural environment and economic society. Based on land utilization, natural environment, and socio-economic data of Dongjiang River Basin from 2010 to 2020, combined with hotspot analysis tools and local spatial autocorrelation analysis methods, we comprehensively analyzed the spatio-temporal variations of Dongjiang River Basin ESV, and further explored the spatial differentiation mechanism with geographic detector tools. The results showed that Dongjiang River Basin was dominated by forest ecosystem from 2010 to 2020. The construction land area had expanded significantly mainly from arable land and forest. The Dongjiang River Basin ESV showed a downward and then an upward trend. The ESV of arable land, forest and construction land continuously decreased, and the ESV of water decreased first and then increased substantially. The spatial distribution of ESV hot and cold spots had a significant agglomeration effect, presenting a pattern of hot spot dispersion in the upstream area and cold spots aggregation in the downstream area. The ESV distribution in the upstream and downstream area was not balanced, with the downstream area bearing greater ecological stress. According to the detection results of ESV spatial differentiation mechanism, land utilization was the main factor affecting the spatial differentiation, with the spatial difference of ESV (q value) reaching 0.462. The interaction of factors could greatly strengthen the spatial differentiation effect on Dongjiang River Basin ESV.

Key words: land-use change, ecosystem service value, equivalent factor method, hotspot analysis, Geodetector, Dongjiang River Basin

YU Haixia, WANG Yuxiao. Spatio-temporal variations of ecosystem service value and its spatial heterogeneity mechanism in the Dongjiang River Basin, China[J]. Chinese Journal of Applied Ecology, 2023, 34(9): 2498-2506.

References

[1] 欧阳志云, 王效科, 苗鸿. 中国陆地生态系统服务功能及其生态经济价值的初步研究. 生态学报, 1999, 29(5):19-25
[2] 黄木易, 方斌, 岳文泽, 等. 近20a来巢湖流域生态服务价值空间分异机制的地理探测. 地理研究, 2019, 38(11): 2790-2803
[3] Termorshuizen JW, Opdam P. Landscape services as a bridge between landscape ecology and sustainable deve-lopment. Landscape Ecology, 2009, 24: 1037-1052
[4] 靳诚, 陆玉麒. 我国生态产品价值实现研究的回顾与展望. 经济地理, 2021, 41(10): 207-213
[5] Alkama R, Cescatti A. Biophysical climate impacts of recent changes in global forest cover. Science, 2016, 351: 600-604
[6] Hao RF, Yu DY, Liu YP, et al. Impacts of changes in climate and landscape pattern on ecosystem services. Science of the Total Environment, 2017, 579: 718-728
[7] 方林, 蔡俊, 刘艳晓, 等. 长三角地区生态系统服务价值动态演化及驱动力分析. 生态与农村环境学报, 2022, 38(5): 556-565
[8] Costanza R, d’Arge R, de Groot R, et al. The value of the world’s ecosystem services and natural capital. Nature, 1997, 387: 253-260
[9] 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
[10] 谢高地, 鲁春霞, 冷允法, 等. 青藏高原生态资产的价值评估. 自然资源学报, 2003, 18(2): 189-196
[11] 谢高地, 甄霖, 鲁春霞, 等. 一个基于专家知识的生态系统服务价值化方法. 自然资源学报, 2008, 23(5): 911-919
[12] 王航, 秦奋, 朱筠, 等. 土地利用及景观格局演变对生态系统服务价值的影响. 生态学报, 2017, 37(4): 1286-1296
[13] 耿甜伟, 陈海, 张行, 等. 基于GWR的陕西省生态系统服务价值时空演变特征及影响因素分析. 自然资源学报, 2020, 35(7): 1714-1727
[14] 王若思, 潘洪义, 刘翊涵, 等. 基于动态当量的乐山市生态系统服务价值时空演变及驱动力研究. 生态学报, 2022, 42(1): 76-90
[15] 陈睿, 杨灿, 杨艳, 等. 洞庭湖生态经济区生态系统服务价值的时空演绎及其驱动因素. 应用生态学报, 2022, 33(1): 169-179
[16] 赵同谦, 欧阳志云, 贾良清, 等. 中国草地生态系统服务功能间接价值评价. 生态学报, 2004, 24(6): 1101-1110
[17] 欧阳志云, 赵同谦, 王效科, 等. 水生态服务功能分析及其间接价值评价. 生态学报, 2004, 24(10): 2091-2099
[18] 赵同谦, 欧阳志云, 王效科, 等. 中国陆地地表水生态系统服务功能及其生态经济价值评价. 自然资源学报, 2003, 18(4): 443-452
[19] 广东省统计局. 广东统计年鉴(2010—2020) . 北京: 中国统计出版社, 2010—2020
[20] 国家发展和改革委员会价格司. 全国农产品成本收益资料汇编2010—2020. 北京: 中国统计出版社, 2010—2020
[21] 王劲峰, 徐成东. 地理探测器:原理与展望. 地理学报, 2017, 72(1): 116-134
[22] 张鹏岩, 耿文亮, 杨丹, 等. 黄河下游地区土地利用和生态系统服务价值的时空演变. 农业工程学报, 2020, 36(11): 277-288
[23] 孙梦华, 牛文浩, 张蚌蚌, 等. 黄河流域土地利用变化下生态系统服务价值时空演变及其响应——以陕甘宁地区为例. 应用生态学报, 2021, 32(11): 3913-3922
[24] 张莉金, 白羽萍, 胡业翠, 等. 不同SSP-RCP情景下中国生态系统服务价值评估. 生态学报, 2023, 43(2): 510-521
[25] 高振斌, 王小莉, 婧苏, 等. 基于生态系统服务价值评估的东江流域生态补偿研究. 生态与农村环境学报, 2018, 34(6): 563-570
[26] 吴海珍, 阿如旱, 郭田保, 等. 基于RS和GIS的内蒙古多伦县土地利用变化对生态服务价值的影响. 地理科学, 2011, 31(1): 110-116
[27] 岳书平, 张树文, 闫业超. 东北样带土地利用变化对生态服务价值的影响. 地理学报, 2007, 62(8): 879-886
[28] 张发, 玉素甫江·如素力, 艾尔肯·图尔逊. 基于土地利用的博斯腾湖流域生态系统服务价值时空变化. 生态学报, 2021, 41(13): 5254-5265
[29] 侯孟阳, 姚顺波, 邓元杰, 等. 格网尺度下延安市生态服务价值时空演变格局与分异特征——基于退耕还林工程的实施背景. 自然资源学报, 2019, 34(3): 539-552
[30] 蒲英霞, 葛莹, 马荣华, 等. 基于ESDA的区域经济空间差异分析——以江苏省为例. 地理研究, 2005, 24(6): 965-974
[31] 黄木易, 岳文泽, 方斌, 等. 1970—2015年大别山区生态服务价值尺度响应特征及地理探测机制. 地理学报, 2019, 74(9): 1904-1920
[32] 申梦姝, 郑航, 刘悦忆, 等. 2020年东江流域生态服务价值的空间转移网络研究. 水利水电技术, 2022, 53(1): 124-134
[33] 张杰, 李清泉, 吴祥茵, 等. 基于土地利用的粤港澳大湾区生态系统服务价值及承载力演变分析. 生态学报, 2021, 41(21): 8375-8386
[34] 傅伯杰, 张立伟. 土地利用变化与生态系统服务:概念、方法与进展. 地理科学进展, 2014, 33(4): 441-446