Spatio-temporal variations and trade-offs/synergies of typical ecosystem services in Ordos City

doi:10.13287/j.1001-9332.202506.022

Abstract

Abstract: Ordos City is located within the Yellow River ‘Ji Zi Bend’. Clarifying the spatio-temporal variations and trade-offs/synergies of ecosystem services is of great significance for ecological protection and high-quality development of the Yellow River Basin. Based on the InVEST model and remote sensing data, we evaluated the ecosystem services of soil conservation, carbon storage, water conservation, and net primary productivity (NPP) in Ordos City from 2000 to 2020, and analyzed their spatio-temporal variations. We used correlation analysis to explore the trade-offs/synergies relationship among the four ecosystem services, and further revealed the trade-off/synergy intensity and its driving factors by combing the trade-off/synergy index and random forest model. The results showed that the typical ecosystem services in Ordos City showed an overall upward trend from 2000 to 2020. Total soil conservation increased by 3.47×10⁸ t. Carbon storage increased by 0.28×10⁸ t. Water conservation increased by 0.76×10⁷ m³. The annual average NPP increased by 349.54 g C·m^-2. Among all the land use types, grassland and cultivated land had the greatest positive effect on the improvement of regional ecosystem services. Except for the uncorrelated relationships between carbon storage and soil conservation and NPP, the relationships among other ecosystem ser-vices were significantly synergistic. There were trade-offs between soil conservation, NPP, and water conservation in some areas. The main factors driving the intensity of trade-offs/synergies among ecosystem services in Ordos City were rainfall, temperature, slope, and population density. In general, the four typical ecosystem services in Ordos City showed favorable development trends. Based on the spatio-temporal heterogeneity of ecosystem services and the driving factors of tradeoff/synergy intensity, more appropriate strategies for continuous improvement of ecosystem services should be formulated in the future.

Key words: ecosystem service, trade-off/synergy, driving factor, InVEST model, Ordos City

WANG Yuxin, ZHENG Ying, GAO Yong, LIU Yanping, YANG Zhenqi, ZHANG Zixuan. Spatio-temporal variations and trade-offs/synergies of typical ecosystem services in Ordos City[J]. Chinese Journal of Applied Ecology, 2025, 36(6): 1661-1670.

References

[1] Daily GC, Myers JP, Reochert J, et al. Nature’s Ser-vices: Societal Dependence on Natural Ecosystems. Washington, DC: Island Press, 1997
[2] 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
[3] MA. Ecosystems and Human Well-being: Synthesis.Washington,DC: Island Press, 2005
[4] Rodriguez JP, JrBeard TD, Bennett EM, et al. Tradeoffs across space, time, and ecosystem services. Ecology and Society, 2006, 11: 709-723
[5] Tallis H, Kareiva P, Marvier M, et al. An ecosystem services framework to support both practical conservation and economic development. Proceedings of the National Academy of Sciences of the United States of America,2008, 105: 9457-9464
[6] Qiu JX, Turner MG. Spatial interactions among ecosystem services in an urbanizing agricultural watershed. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110: 12149-12154
[7] 李鹏, 姜鲁光, 封志明, 等. 生态系统服务竞争与协同研究进展. 生态学报, 2012, 32(16): 5219-5229
[8] 戴尔阜, 王晓莉, 朱建佳, 等. 生态系统服务权衡: 方法、模型与研究框架. 地理研究, 2016, 35(6): 1005-1016
[9] 孙彦, 蔺星娜, 李生, 等. 贵州省生态系统服务权衡时空动态与驱动因子评估. 环境科学学报, 2024, 44(9): 401-413
[10] 荔童, 梁小英, 张杰, 等. 基于贝叶斯网络的生态系统服务权衡协同关系及其驱动因子分析: 以陕北黄土高原为例. 生态学报, 2023, 43(16): 6758-6771
[11] 王玉, 傅碧天, 吕永鹏, 等. 基于SolVES模型的生态系统服务社会价值评估: 以吴淞炮台湾湿地森林公园为例. 应用生态学报, 2016, 27(6): 1767-1774
[12] 张文静, 孙小银, 周俊. 南四湖流域关键生态系统服务的时空权衡关系. 生态学报, 2021, 41(20): 8003-8015
[13] 马钢, 潘玲, 马增辉. 生态系统服务评价模型及实证研究. 安徽农学通报, 2021, 27(2): 141-143
[14] Liu Y, Wan C, Xu GL, et al. Exploring the relationship and influencing factors of cultivated land multifunction in China from the perspective of trade-off/synergy. Ecological Indicators, 2023, 149: 110171
[15] 祝萍, 刘鑫, 郑瑜晗, 等. 北方重点生态功能区生态系统服务权衡与协同. 生态学报, 2020, 40(23): 8694-8706
[16] 韩磊, 杨梅丽, 刘钊, 等. 黄土高原典型退耕区生态系统服务权衡与协同关系研究:以延安市为例. 生态学报, 2022, 42(20): 8115-8125
[17] 任胤铭, 刘小平, 许晓聪, 等. 基于FLUS-InVEST模型的京津冀多情景土地利用变化模拟及其对生态系统服务的影响. 生态学报, 2023, 43(11): 4473-4487
[18] 李春莹, 李桂娥, 李杰, 等. 长江三角洲城市群生态系统服务协同权衡的时空异质性. 中国环境科学, 2024, 44(2): 992-1006
[19] 李倩茹, 贾彦龙, 王慧军, 等. 基于生态功能区的河北省生态系统服务权衡与协同分析. 地理学报, 2023, 78(11): 2833-2849
[20] 邓钰栎, 王丹, 许涵. 双尺度下广东韶关市生态系统服务及其权衡/协同关系及社会生态驱动因素. 应用生态学报, 2023, 34(11): 3073-3084
[21] 杨君, 唐兴隆, 袁淑君, 等. 湖南省多尺度生态系统服务供需关系及影响因素. 水土保持通报, 2023, 43(6): 272-281
[22] Qiao JM, Deng LY, Liu HM, et al. Spatiotemporal heterogeneity in ecosystem service trade-offs and their drivers in the Huang-Huai-Hai Plain, China. Landscape Ecology, 2024, 39: 42
[23] 陈琴. 重庆市石柱县生态系统服务时空格局研究. 重庆师范大学学报:自然科学版, 2021, 38(6): 30-44
[24] 多化豫, 袁云梅. 鄂尔多斯市退耕还林工程效益分析. 内蒙古农业大学学报: 自然科学版, 2016, 37(4): 42-45
[25] 史培军. 地理环境演变研究的理论与实践: 鄂尔多斯地区晚第四纪以来地理环境演变研究. 北京: 科学出版社, 1991
[26] 杨园园, 戴尔阜, 付华. 基于InVEST模型的生态系统服务价值评估研究框架. 首都师范大学学报:自然科学版, 2012, 33(3): 41-47
[27] 杨洁, 谢保鹏, 张德罡. 基于InVEST和CA-Markov模型的黄河流域碳储量时空变化研究. 中国生态农业学报, 2021, 29(6): 1018-1029
[28] 解宪丽, 孙波, 周慧珍, 等. 中国土壤有机碳密度和储量的估算与空间分布分析. 土壤学报, 2004, 41(1): 35-43
[29] 李怡颖, 范继辉, 廖莹. 基于InVEST模型的张家口市水源涵养功能时空差异分析. 草业科学, 2020, 37(7): 1313-1324
[30] 傅斌, 徐佩, 王玉宽, 等. 都江堰市水源涵养功能空间格局. 生态学报, 2013, 33(3): 789-797
[31] Zhang ZY, Liu YF, Wang YH,et al. What factors affect the synergy and tradeoff between ecosystem services, and how, from a geospatial perspective? Journal of Cleaner Production, 2020, 257: 120454
[32] Zhao T, Pan JH. Ecosystem service trade-offs and spatial non-stationary responses to influencing factors in the Loess hilly-gully region: Lanzhou City, China. Science of the Total Environment, 2022, 846: 157422
[33] 吴志俊, 王永强, 鄢波, 等. 基于InVEST模型的鄂尔多斯市土壤侵蚀及土壤保持功能研究. 水电能源科学, 2021, 39(8): 31-34
[34] 刘涛, 张雪梅, 林长存. 基于InVEST与FLUS模型的准格尔旗水源涵养功能分析. 草地学报, 2023, 31(12): 3831-3840
[35] 陈雪萍, 赵学勇, 张晶, 等. 基于地理探测器的科尔沁沙地植被NDVI时空变化特征及其驱动因素. 植物生态学报, 2023, 47(8): 1082-1093
[36] 武文欢, 彭建, 刘焱序, 等. 鄂尔多斯市生态系统服务权衡与协同分析. 地理科学进展, 2017, 36(12): 1571-1581
[37] 赵传武, 郭伟, 阎跃观, 等. 典型资源型城市的植被覆盖变化及驱动力分析:以鄂尔多斯市为例. 遥感技术与应用, 2022, 37(2): 389-398
[38] 白雪莲, 季树新, 王理想, 等. 鄂尔多斯十大孔兑区植被生产力变化趋势对土地利用转移的响应. 自然资源学报, 2019, 34(6): 1186-1195
[39] 李雪. 黄河上中游流域生态系统健康评估及驱动因素研究. 硕士论文. 西安: 西安理工大学, 2024
[40] 吴志俊, 王永强, 鄢波, 等. 基于InVEST模型的鄂尔多斯市土壤侵蚀及土壤保持功能研究. 水电能源科学, 2021, 39(8): 31-34
[41] 杨海迪. 鄂尔多斯地区1961—2019年气候特征分析. 内蒙古科技与经济, 2022(11): 81-82
[42] 权小丫, 苏维词, 勾容, 等. FAST宁静区生态系统服务时空分异特征及权衡/协同关系分析, 中国环境科学, 2024, 44(9): 5145-5159
[43] 王茜, 穆琪, 罗漫雅, 等. 秦岭生态系统服务协同与权衡的时空异质性. 应用生态学报, 2022, 33(8): 2057-2067
[44] 张能能, 刘兆刚. 基于InVEST模型小兴安岭生态系统服务功能权衡/协同效应[EB/OL].(2024-08-20) [2025-02-26]. 环境科学. https://doi.org/10.13227/j.hjkx.202405314
[45] 张自正, 张蕾, 孙桂英, 等. 清江流域生态系统服务权衡时空效应及驱动因素. 应用生态学报, 2023, 34(4): 1051-1062
[46] 汪仕美, 靳甜甜, 燕玲玲, 等. 子午岭区生态系统服务权衡与协同变化及其影响因素. 应用生态学报, 2022, 33(11): 3087-3096
[47] 张宇洁, 张晓萍, 孙伟楠, 等. 1970—2020年北洛河流域产水、保土、固碳生态系统服务时空演变特征与权衡/协同关系[EB/OL]. (2025-02-21) [2025-02-26]. 水土保持学报. https://doi.org/10.13870/j.cnki.stbcxb.2025.02.026
[48] 张静静, 朱文博, 朱连奇, 等. 伏牛山地区森林生态系统服务权衡/协同效应多尺度分析. 地理学报, 2020, 75(5): 975-988
[49] 李倩茹, 贾彦龙, 王慧军, 等. 基于生态功能区的河北省生态系统服务权衡与协同分析. 地理学报, 2023, 78(11): 2833-2849
[50] Jia XQ, Fu BJ, Feng XM, et al. The tradeoff and synergy between ecosystem services in the Grain-for-Green areas in Northern Shaanxi, China.Ecological Indicators, 2014, 43: 103-113
[51] 钟绍卓, 孙浩源. 不同情境下祁连山国家级自然保护区生态系统服务时空变化及权衡与协同关系. 水土保持研究, 2023, 30(5): 358-369
[52] 陈心盟, 王晓峰, 冯晓明, 等. 青藏高原生态系统服务权衡与协同关系. 地理研究, 2021, 40(1): 18-34
[53] Xue CL, Chen XH, Xue LR, et al. Modeling the spatially heterogeneous relationships between tradeoffs and synergies among ecosystem services and potential drivers considering geographic scale in Bairin Left Banner, China.Science of the Total Environment, 2023,855: 158834
[54] 李克让, 王绍强, 曹明奎. 中国植被和土壤碳贮量. 中国科学, 2003, 33(1): 72-80
[55] 陈利军, 刘高焕, 励惠国, 等. 中国植被净第一性生产力遥感动态监测. 遥感学报, 2002, 6(2): 129-135
[56] 张杰, 李敏, 敖子强, 等. 中国西部干旱区土壤有机碳储量估算. 干旱区资源与环境, 2018, 32(9): 132-137
[57] Chuai XW, Huang XJ, Lai L, et al. Land use structure optimization based on carbon storage in several regional terrestrial ecosystems across China. Environmental Science & Policy, 2013, 25: 50-61
[58] Li MY, Liang D, Xia J, et al. Evaluation of water conservation function of Danjiang River Basin in Qinling Mountains, China based on InVEST mode. Journal of Environmental Management, 2021, 286: 112212