Spatial and temporal effect and driving factors of ecosystem service trade-off in the Qingjiang River Basin, China

doi:10.13287/j.1001-9332.202304.022

Abstract

Abstract: Identifying the spatiotemporal differentiation characteristics of trade-offs/synergies relationships of ecosystem service in watersheds and their influencing factors is essential for ecosystem management and regulation. It is of great significance for the efficient allocation of environmental resources and the rational formulation of ecological and environmental policies. We used correlation analysis and root mean square deviation to analyze the trade-offs/synergies relationships among grain provision, net primary productivity (NPP), soil conservation, and water yield service in the Qingjiang River Basin from 2000 to 2020. Then, we analyzed the critical factors affecting the trade-offs of ecosystem services by using the geographical detector. The results showed that grain provision service in the Qingjiang River Basin presented a decreasing trend from 2000 to 2020, and that NPP, soil conservation, as well as water yield service showed an increasing trend. There was a decreasing trend in the degree of trade-offs between grain provision and soil conservation services, NPP and water yield service, and an increasing trend in the intensity of trade-offs between other services. Grain provision and NPP, soil conservation and water yield showed trade-off in the northeast and synergy in the southwest. There was a synergistic relationship between NPP with soil conservation and water yield in the central part and a trade-off relationship in the surrounding area. Soil conservation and water yield showed a high degree of synergy. Land use and normalized difference of vegetation index were the dominant factors in the intensity of trade-offs between grain provision and other ecosystem services. Precipitation, temperature, and elevation were the dominant factors in the intensity of trade-offs between water yield service and other ecosystem services. The intensity of ecosystem service trade-offs was not only affected by a single factor. In contrast, the interaction between the two services or the common factors behind the two services was the determining factor. Our results could provide a reference for developing ecological restoration planning strategies in the national land space.

Key words: ecosystem service, trade-off, Geodetector, influencing factor, Qingjiang River Basin

ZHANG Zizheng, ZHANG Lei, SUN Guiying, LIU Junxiang. Spatial and temporal effect and driving factors of ecosystem service trade-off in the Qingjiang River Basin, China[J]. Chinese Journal of Applied Ecology, 2023, 34(4): 1051-1062.

References 39

[1]	Daily GC, Polasky S, Goldstein J, et al. Ecosystem services in decision making: Time to deliver. Frontiers in Ecology and the Environment, 2009, 7: 21-28
[2]	Hui X, Eve MM, Régis S, et al. The value of understanding feedbacks from ecosystem functions to species for managing ecosystems. Nature Communications, 2019, 10: 1-10
[3]	李双成, 张才玉, 刘金龙, 等. 生态系统服务权衡与协同研究进展及地理学研究议题. 地理研究, 2013, 32(8): 1379-1390
[4]	戴尔阜, 王晓莉, 朱建佳, 等. 生态系统服务权衡/协同研究进展与趋势展望. 地球科学进展, 2015, 30(11): 1250-1259
[5]	彭建, 胡晓旭, 赵明月, 等. 生态系统服务权衡研究进展: 从认知到决策. 地理学报, 2017, 72(6): 960-973
[6]	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
[7]	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
[8]	Qiao X, Gu Y, Zou C, et al. Temporal variation and spatial scale dependency of the tradeoffs and synergies among multiple ecosystem services in the Taihu Lake Basin of China. Science of the Total Environment, 2018, 651: 218-229
[9]	钱彩云, 巩杰, 张金茜, 等. 甘肃白龙江流域生态系统服务变化及权衡与协同关系. 地理学报, 2018, 73(5): 868-879
[10]	Gonzalez RJ, Luque S, Poggio L, et al. Spatial Baye-sian belief networks as a planning decision tool for mapping ecosystem services trade-offs on forested landscapes. Environmental Research, 2016, 144: 15-26
[11]	林媚珍, 刘汉仪, 周汝波, 等. 多情景模拟下粤港澳大湾区生态系统服务评估与权衡研究. 地理研究, 2021, 40(9): 2657-2669
[12]	Fang Z, Ding TH, Chen JY, et al. Impacts of land use/land cover changes on ecosystem services in ecologically fragile regions. Science of the Total Environment, 2022, 831: 154967
[13]	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
[14]	Lu N, Fu B, Jin T, et al. Trade-off analyses of multiple ecosystem services by plantations along a precipitation gradient across Loess Plateau landscapes. Landscape Ecology, 2014, 29: 1697-1708
[15]	Bennett EM, Peterson GD, Gordon L. Understanding relationships among multiple ecosystem services. Ecology Letters, 2009, 12: 1394-1404
[16]	Wang H, Liu L, Yin L, et al. Exploring the complex relationships and drivers of ecosystem services across different geomorphological types in the Beijing-Tianjin-Hebei region, China (2000-2018). Ecological Indicators, 2020, 121: 107-116
[17]	Schirpke U, Candiago S, Egarter VL, et al. Integrating supply, flow and demand to enhance the understanding of interactions among multiple ecosystem services. Science of the Total Environment, 2019, 651: 928-941
[18]	Chawanji S, Masocha M, Dube T. Spatial assessment of ecosystem service trade-offs and synergies in Zimbabwe. Transactions of the Royal Society of South Africa, 2018, 73: 172-179
[19]	张宇硕, 吴殿廷. 京津冀地区生态系统服务权衡的多尺度特征与影响因素解析. 地域研究与开发, 2019, 38(3): 141-147
[20]	朱清, 国佳欣, 郭熙, 等. 鄱阳湖区生态环境质量的空间分异特征及其影响因素. 应用生态学报, 2019, 30(12): 4108-4116
[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]	湖北省统计局. 湖北统计年鉴. 北京: 中国统计出版社, 1999—2021
[23]	湖北省统计局. 湖北农村统计年鉴. 北京: 中国统计出版社, 1999—2021
[24]	Cui FQ, Tang HP, Zhang Q, et al. Integrating ecosystem services supply and demand into optimized management at different scales: A case study in Hulunbuir, China. Ecosystem Services, 2019, 39: 100984
[25]	Potter CS, Randerson JT, Field CB, et al. Terrestrial ecosystem production: A process model based on global satellite and surface data. Global Biogeochemical Cycles, 1993, 7: 811-841
[26]	朱文泉, 潘耀忠, 张锦水. 中国陆地植被净初级生产力遥感估算. 植物生态学报, 2007, 31(3): 413-424
[27]	Renard KG, Foster GR, Weesies GA, et al. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). Washington DC: USDA, 1997
[28]	Wischmeier WH, Smith DD. Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. Washington DC: Department of Agriculture, 1978
[29]	高艳丽, 李红波. 汉江流域景观格局变化对土壤侵蚀的影响. 生态学报, 2021, 41(6): 2248-2260
[30]	Zhang L, Hickel K, Dawes WR, et al. A rational function approach for estimating mean annual evapotranspiration. Water Resources Research, 2004, 40: 89-97
[31]	Allen RG, Pereira LS, Raes D, et al. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. Washington DC: FAO Irrigation and Drainage,1998
[32]	Yan S, Wang H, Jiao K. Spatio-temporal dynamic of NDVI in the Beijing-Tianjin-Hebei region based on MODIS data and quantitative attribution. Journal of Geoinformation Science, 2019, 21: 767-780
[33]	王鹏涛, 张立伟, 李英杰, 等. 汉江上游生态系统服务权衡与协同关系时空特征. 地理学报, 2017, 72(11): 2064-2078
[34]	Fan YT, Gan L, Hong CQ, et al. Spatial identification and determinants of trade-offs among multiple land use functions in Jiangsu Province, China. Science of the Total Environment, 2021, 772: 145022
[35]	Bradford JB, D’Amato AW. Recognizing tradeoffs in multi-objective land management. Frontiers in Ecology and the Environment, 2012, 10: 210-216
[36]	Feng Q, Zhao WW, Fu BJ, et al. Ecosystem service trade-offs and their influencing factors: A case study in the Loess Plateau of China. Science of the Total Environment, 2017, 607: 1250-1263
[37]	巩杰, 柳冬青, 高秉丽, 等. 西部山区流域生态系统服务权衡与协同关系——以甘肃白龙江流域为例. 应用生态学报, 2020, 31(4): 1278-1288
[38]	Zuo LY, Gao JB, Du FJ, et al. The pairwise interaction of environmental factors for ecosystem services relationships in karst ecological priority protection and key restoration areas. Ecological Indicators, 2021, 131: 108125
[39]	孙艺杰, 任志远, 赵胜男. 关中盆地生态服务权衡与协同时空差异. 资源科学, 2016, 38(11): 2127-2136