生态系统服务权衡及其影响因素——以黄河流域山西段为例

doi:10.13866/j.azr.2024.03.11

Abstract

Abstract:

This study is based on the integrated valuation of ecosystem services and tradeoffs model, which quantifies the supply and demand of ecosystem services. This model uses root-mean-square deviation to quantify the intensity of tradeoffs in ecosystem services and analyze the driving factors of tradeoff intensity using a structural equation model. Results show that from 2000 to 2020, the tradeoff intensity of water yield (WY) and soil conservation (SC), as well as WY and carbon sequestration (CS) supply, increased. However, the demand coordination intensity of WY and SC services, as well as WY and CS services, decreased. Except for WY services, which had a supply-demand tradeoff intensity greater than 0 in 2020, the supply-demand tradeoff intensity for WY, SC, and CS services was less than zero from 2000 to 2020. The tradeoff and synergy of ecosystem services are primarily influenced by natural factors. Evapotranspiration has a positive effect on the tradeoff between water production and SC services, as well as on the tradeoff between supply and demand for water production and CS services. However, it has a restraining effect on the tradeoff between supply and demand for water production services. The proportion of grassland area has a restraining effect on the tradeoff between water production and CS services, as well as on the synergy between water production and SC service demands. In addition, it has a promoting effect on the supply-demand tradeoff of CS services. Precipitation has a restraining effect on the synergy between water production and CS service demands, as well as on the tradeoff between supply and demand for SC services. However, it has a promoting effect on the tradeoff between supply and demand for water production services. Socioeconomic factors have a secondary effect on the tradeoff and synergy of ecosystem services. Population density has a promoting effect on the synergy between water production and soil conservation service demands, whereas it has a restraining effect on the tradeoff between supply and demand for water production services and CS services. Therefore, when developing comprehensive management decisions for river basins, the spatial characteristics and driving factors that contribute to the tradeoff and synergy of ecosystem services must be considered.

Key words: ecosystem services, trade-off intensity, synergy intensity, driving factors, Shanxi Section of the Yellow River Basin

XU Mingjing, FENG Qiang, LYU Meng. Tradeoffs of ecosystem services and their influencing factors: A case study of the Shanxi Section of the Yellow River Basin[J].Arid Zone Research, 2024, 41(3): 467-479.

Figures/Tables 9

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References 44

[1]	Burkhard B, Kroll F, Nedkov S, et al. Mapping ecosystem service supply, demand and budgets[J]. Ecological Indicators, 2012, 21: 17-29. doi: 10.1016/j.ecolind.2011.06.019
[2]	Redhead W J, May L, Oliver H T, et al. National scale evaluation of the InVEST nutrient retention model in the United Kingdom[J]. Science of the Total Environment, 2018, 610-611: 666-677.
[3]	Wu X, Liu S, Zhao S, et al. Quantification and driving force analysis of ecosystem services supply, demand and balance in China[J]. Science of the Total Environment, 2019, 652: 1375-1386. doi: 10.1016/j.scitotenv.2018.10.329
[4]	Hua J, Chen Y W. Prioritizing urban rivers’ ecosystem services: An importance-performance analysis[J]. Cities, 2019, 94: 11-23. doi: 10.1016/j.cities.2019.05.014
[5]	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[J]. 地理研究, 2013, 32(8): 1379-1390.
	[Li Shuangcheng, Zhang Caiyu, Liu Jinlong, et al. The tradeoffs and synergies of ecosystem services: Research progress, development trend, and themes of geography[J]. Geographical Research, 2013, 32(8): 1379-1390.]
[6]	Jie Z, Cheng L. Investigating ecosystem service trade-offs/synergies and their influencing factors in the Yangtze River Delta Region, China[J]. Land, 2022, 11(1): 106-106. doi: 10.3390/land11010106
[7]	李双成, 王珏, 朱文博, 等. 基于空间与区域视角的生态系统服务地理学框架[J]. 地理学报, 2014, 69(11): 1628-1639. doi: 10.11821/dlxb201411004
	[Li Shuangcheng, Wang Yu, Zhu Wenbo, et al. Research framework of ecosystem services geography from spatial and regional perspectives[J]. Acta Geographica Sinica, 2014, 69(11): 1628-1639.] doi: 10.11821/dlxb201411004
[8]	Stefano C, Richard I, Caitlin D, et al. Spatial covariance between aesthetic value other ecosystem services[J]. PloS one, 2013, 8(6): e68437. doi: 10.1371/journal.pone.0068437
[9]	张碧天, 闵庆文, 焦雯珺, 等. 生态系统服务权衡研究进展[J]. 生态学报, 2021, 41(14): 5517-5532.
	[Zhang Bitian, Min Qingwen, Jiao Wenjun, et al. Research progress and perspective on ecosystem services trade-offs[J]. Acta Ecologica Sinica, 2021, 41(14): 5517-5532.]
[10]	Schwenk W S, Donovan T M, Keeton W S, et al. Carbon storage, timber production, and biodiversity: Comparing ecosystem services with multi-criteria decision analysis[J]. Ecological applications: A publication of the Ecological Society of America, 2012, 22(5): 1612-27.
[11]	Groot C J, Yalew G S, Rossing A W. Exploring ecosystem services trade-offs in agricultural landscapes with a multi-objective programming approach[J]. Landscape and Urban Planning, 2018, 172: 29-36. doi: 10.1016/j.landurbplan.2017.12.008
[12]	Sherrouse C B, Semmens J D, Ancona H Z, et al. Analyzing land-use change scenarios for trade-offs among cultural ecosystem services in the Southern Rocky Mountains[J]. Ecosystem Services, 2017, 26: 431-444. doi: 10.1016/j.ecoser.2017.02.003
[13]	Xu X, Yang G, Tan Y, et al. Ecosystem services trade-offs and determinants in China’s Yangtze River Economic Belt from 2000 to 2015[J]. Science of the Total Environment, 2018, 634: 1601-1614. doi: 10.1016/j.scitotenv.2018.04.046
[14]	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[J]. 生态学报, 2022, 42(20): 8115-8125.
	[Han Lei, Yang Meili, Liu Zhao, et al. Ecosystem service tradeoffs and synergies in typical farmland conversion area of the Loess Plateau: Taking Yan’an City as an example[J]. Acta Ecologica Sinica, 2022, 42(20): 8115-8125.]
[15]	Tian P, Li J, Cao L, et al. Assessing matching characteristics and spatial differences between supply and demand of ecosystem services: A case study in Hangzhou, China[J]. Land, 2021, 10(6): 582-582. doi: 10.3390/land10060582
[16]	勾蒙蒙, 刘常富, 肖文发, 等. 基于生态系统服务供需关系的长江三峡库区分区管理[J]. 陆地生态系统与保护学报, 2022, 2(4): 1-12.
	[Gou Mengmeng, Liu Changfu, Xiao Wenfa, et al. ecological zoning management strategies based on ecosystem service supply and demand[J]. Terrestrial Ecosystem and Conservation, 2022, 2(4): 1-12.]
[17]	赵雪雁, 马平易, 李文青, 等. 黄土高原生态系统服务供需关系的时空变化[J]. 地理学报, 2021, 76(11): 2780-2796. doi: 10.11821/dlxb202111013
	[Zhao Xueyan, Ma Pingyi, Li Wenqing, et al. Spatiotemporal changes of supply and demand relationships of ecosystem services in the Loess Plateau[J]. Acta Geographica Sinica, 2021, 76(11): 2780-2796.] doi: 10.11821/dlxb202111013
[18]	Zhai T, Zhang D, Zhao C. How to optimize ecological compensation to alleviate environmental injustice in different cities in the Yellow River Basin? A case of integrating ecosystem service supply, demand and flow[J]. Sustainable Cities and Society, 2021, 75: 103341. doi: 10.1016/j.scs.2021.103341
[19]	Lin S, Wu R, Yang F, et al. Spatial trade-offs and synergies among ecosystem services within a global biodiversity hotspot[J]. Ecological Indicators, 2018, 84: 371-381. doi: 10.1016/j.ecolind.2017.09.007
[20]	殷允可, 李昊瑞, 张铭, 等. 不同气候区生态系统服务权衡的空间异质性及其驱动因素研究——以川滇-黄土高原生态屏障带为例[J]. 生态学报, 2024, 44(1): 107-116.
	[Yin Yunke, Li Haorui, Zhang Ming, et al. Spatial and temporal variation of ecosystem service trade-offs and drivers in different climatic zones: A case study of the ecological barrier zone of Sichuan-Yunnan-Loess Plateau[J]. Acta Ecologica Sinica, 2024, 44(1): 107-116.]
[21]	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[J]. 应用生态学报, 2023, 34(4): 1051-1062. doi: 10.13287/j.1001-9332.202304.022
	[Zhang Zizheng, Zhang Lei, Sun Guiying, et al. 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.] doi: 10.13287/j.1001-9332.202304.022
[22]	Guo Shanshan, Wu Changyue, Wang Yinghong, et al. Threshold effect of ecosystem services in response to climate change, human activity and landscape pattern in the upper and middle Yellow River of China[J]. Ecological Indicators, 2022, 136: 108603. doi: 10.1016/j.ecolind.2022.108603
[23]	Guo M, Liu W F. Analysis of land use and ecosystem service values in energy-rich areas of the Yellow River basin[J]. People’s Yellow River, 2023, 45: 98-104, 110.
[24]	Wang Z Z, Wang H, Feng X M. An index system for assessing the comprehensive benefits of ecological restoration in key fragile ecological zones[J]. Journal of Ecology, 2019, 39: 7356-7366.
[25]	Yang S, Zhao W, Liu Y, et al. Influence of land use change on the ecosystem service trade-offs in the ecological restoration area: Dynamics and scenarios in the Yanhe watershed, China[J]. Science of the Total Environment, 2018, 644: 556-566. doi: 10.1016/j.scitotenv.2018.06.348
[26]	Chen Y, Wang K, Lin Y, et al. Balancing green and grain trade[J]. Nature Geoscience, 2015, 8(10): 739-741. doi: 10.1038/ngeo2544
[27]	Xinzhang S, Changhui P, Guomo Z, et al. Chinese Grain for Green Program led to highly increased soil organic carbon levels: A meta-analysis[J]. Scientific Reports, 2014, 4(1): 4460. doi: 10.1038/srep04460
[28]	Deng L, Liu G B, Shangguan Z P. Land-use conversion and changing soil carbon stocks in China’s ‘Grain-for-Green’ Program: A synthesis[J]. Global Change Biology, 2014, 20(11): 3544-56. doi: 10.1111/gcb.12508 pmid: 24357470
[29]	Liu Guobin, Li Shuxin, Chen Xiaodong, et al. Ecological and socioeconomic effects of China’s policies for ecosystem services[J]. Proceedings of the National Academy of Sciences of the United States of America, 2008, 105(28): 9477-82.
[30]	Zhang B, He C, Burnham M, et al. Evaluating the coupling effects of climate aridity and vegetation restoration on soil erosion over the Loess Plateau in China[J]. Science of the Total Environment, 2016, 539: 436-449. doi: 10.1016/j.scitotenv.2015.08.132
[31]	Bradford B J, D’Amato W A. Recognizing trade-offs in multi-objective land management[J]. Frontiers in Ecology and the Environment, 2012, 10(4): 210-216. doi: 10.1890/110031
[32]	石亚飞, 石善恒, 黄晓敏, 等. 基于R的结构方程模型在生态学中的应用[J]. 生态学杂志, 2022, 41(5): 1015-1023.
	[Shi Yafei, Shi Shanheng, Huang Xiaomin, et al. The application of structural equation modeling in ecology based on R[J]. Chinese Journal of Ecology, 2022, 41(5): 1015-1023.] doi: DOI: 10.13292/j.1000-4890.202203.016
[33]	Lefcheck S J. piecewiseSEM: Piecewise structural equation modelling in r for ecology, evolution, and systematics[J]. Methods in Ecology and Evolution, 2016, 7(5): 573-579. doi: 10.1111/mee3.2016.7.issue-5
[34]	Valdés A, Lenoir J, Frenne D P, et al. High ecosystem service delivery potential of small woodlands in agricultural landscapes[J]. Journal of Applied Ecology, 2020, 57(1): 4-16. doi: 10.1111/jpe.v57.1
[35]	马伟波, 杨帆, 王楠, 等. 长三角城市群地区生态系统服务价值时空演变及驱动因素研究[J]. 生态与农村环境学报, 2022, 38(11): 1365-1376.
	[Ma Weibo, Yang Fan, Wang Nan, et al. Study on spatial-temporal evolution and driving factors of ecosystem service value in the Yangtze River Delta Urban Agglomerations[J]. Journal of Ecology and Rural Environment, 2022, 38(11): 1365-1376.]
[36]	张世栋. 辽河流域生态系统服务供需关系研究[D]. 延庆: 延边大学, 2021.
	[Zhang Shidong. Study on the Relationship between Supply and Demand of Ecosystem Services in Liaohe River Basin[D]. Yanqing: Yanbian University, 2021.]
[37]	潘竟虎, 李真. 干旱内陆河流域生态系统服务空间权衡与协同作用分析[J]. 农业工程学报, 2017, 33(17): 280-289.
	[Pan Jinghu, Li Zhen. Analysis on trade-offs and synergies of ecosystem services in arid inland river basin[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(17): 280-289.]
[38]	方露露, 许德华, 王伦澈, 等. 长江、黄河流域生态系统服务变化及权衡协同关系研究[J]. 地理研究, 2021, 40(3): 821-838. doi: 10.11821/dlyj020200044
	[Fang Lulu, Xu Dehua, Wang Lunche, et al. The study of ecosystem services and the comparison of trade-off and synergy in Yangtze River Basin and Yellow River Basin[J]. Geographical Research, 2021, 40(3): 821-838.] doi: 10.11821/dlyj020200044
[39]	Jia X, Fu B, Feng X, et al. The tradeoff and synergy between ecosystem services in the Grain-for-Green areas in Northern Shaanxi, China[J]. Ecological Indicators, 2014, 43: 103-113. doi: 10.1016/j.ecolind.2014.02.028
[40]	韩永伟, 高吉喜, 王宝良, 等. 黄土高原生态功能区土壤保持功能及其价值[J]. 农业工程学报, 2012, 28(17): 78-85, 294.
	[Han Yongwei, Gao Jixi, Wang Baoliang, et al. Evaluation of soil conservation function and its values in major eco-function areas of Loess Plateau in eastern Gansu Province[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(17): 78-85, 294.]
[41]	熊昕莹, 孟梅. 基于生态系统服务供需关系及空间流动的新疆生态管理分区与优化策略[J]. 应用生态学报, 2023, 34(8): 2237-2248. doi: 10.13287/j.1001-9332.202308.023
	[Xiong Xinying, Meng Mei. Regionalization and optimization strategy of ecological management in Xinjiang, China based on supply-demand relationship and spatial flow of ecosystem services[J]. Chinese Journal of Applied Ecology, 2023, 34(8): 2237-2248.] doi: 10.13287/j.1001-9332.202308.023
[42]	黄麟, 祝萍, 曹巍. 中国退耕还林还草对生态系统服务权衡与协同的影响[J]. 生态学报, 2021, 41(3): 1178-1188.
	[Huang Lin, Zhu Ping, Cao Wei. The impacts of the Grain for Green Project on the trade-off and synergy relationships among multiple ecosystem services in China[J]. Acta Ecologica Sinica, 2021, 41(3): 1178-1188.]
[43]	Feng Q, Dong S Y, Duan B L. The effects of land-use change/conversion on trade-offs of ecosystem services in three precipitation Zones[J]. Sustainability, 2021, 13(23): 13306-13306. doi: 10.3390/su132313306
[44]	Feng Q, Zhao W, Hu X, et al. Trading-off ecosystem services for better ecological restoration: A case study in the Loess Plateau of China[J]. Journal of Cleaner Production, 2020, 257: 120469-120469. doi: 10.1016/j.jclepro.2020.120469

数据种类	数据名称	数据格式	数据时间	数据来源
气象数据	降水、蒸散发	栅格	2000年，2005年，2010年，2015年，2020年	国家地球系统科学数据中心（https://www.geodata.cn/aboutus.html）
土壤数据	土壤质地、土壤有机质	栅格	2010—2018年	国家地球系统科学数据中心（https://www.geodata.cn/aboutus.htm）l
土地利用数据	土地利用数据	栅格	2000年，2005年，2010年，2015年，2020年	中国科学院资源环境科学与数据中心（https://www.resdc.cn/）
地形数据	数字高程模型（DEM）	栅格	2020年	地理空间数据云（https://www.gscloud.cn）
植被数据	归一化植被指数（NDVI）	栅格	2000年，2005年，2010年，2015年，2020年	国家地球系统科学数据中心（https://www.geodata.cn/aboutus.html）
社会经济数据	人口密度、国内生产总值（GDP）	栅格	2000年，2005年，2010年，2015年，2020年	中国科学院资源环境科学与数据中心（https://www.resdc.cn/）
社会经济数据	人均收入、人均消费	xlsx	2000年，2005年，2010年，2015年，2020年	《山西统计年鉴》（http://tjj.shanxi.gov.cn/tjsj/tjnj/）

Tradeoffs of ecosystem services and their influencing factors: A case study of the Shanxi Section of the Yellow River Basin

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