清江流域生态系统服务权衡时空效应及驱动因素

doi:10.13287/j.1001-9332.202304.022

应用生态学报 ›› 2023, Vol. 34 ›› Issue (4): 1051-1062.doi: 10.13287/j.1001-9332.202304.022

清江流域生态系统服务权衡时空效应及驱动因素

张自正^1,2, 张蕾^1,2*, 孙桂英³, 刘俊祥^1,2

¹湖北大学资源环境学院, 武汉 430062;
²湖北大学区域开发与环境响应湖北省重点实验室, 武汉 430062;
³湖北省城市规划设计研究院有限责任公司, 武汉 430062

收稿日期:2022-08-19 接受日期:2023-01-31 出版日期:2023-04-15 发布日期:2023-10-15
通讯作者: *E-mail: lzhang520@163.com
作者简介:张自正, 男, 1998年生, 硕士研究生。主要从事生态系统服务评估研究。E-mail: zzzhang719@163.com
基金资助:
教育部人文社会科学研究一般项目(20YJC630207)、湖北省社科基金一般项目(后期资助项目)(2019076)和湖北省教育厅哲学社会科学研究项目(2019063)

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

ZHANG Zizheng^1,2, ZHANG Lei^1,2*, SUN Guiying³, LIU Junxiang^1,2

¹Faculty of Resource and Environmental Science, Hubei University, Wuhan 430062, China;
²Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China;
³Hubei Institute of Urban Planning and Design Limited Liability Company, Wuhan 430062, China

Received:2022-08-19 Accepted:2023-01-31 Online:2023-04-15 Published:2023-10-15

摘要/Abstract

摘要： 识别流域生态系统服务权衡协同关系的时空分异特征及其影响因素,是生态系统管理和调控的重要基础,对高效配置环境资源和合理制定生态环境政策具有重要意义。本研究运用相关性分析、均方根偏差等方法分析清江流域2000—2020年粮食供给、净初级生产力(NPP)、土壤保持和产水服务间的权衡协同关系,并采用地理探测器分析影响生态系统服务权衡的决定因素。结果表明: 2000—2020年,清江流域粮食供给服务呈下降趋势,NPP、土壤保持和产水服务呈递增态势;粮食供给与土壤保持服务、NPP与产水服务间权衡强度呈下降趋势,其他服务间权衡强度均呈增加趋势。粮食供给与NPP、土壤保持、产水服务间呈现东北权衡、西南协同的格局;NPP与土壤保持、产水服务在中部为协同关系、四周为权衡关系;土壤保持与产水服务表现为高度协同。土地利用和归一化植被指数为粮食供给与其他生态系统服务间权衡强度的主导因素,降水、气温和高程为产水服务与其他生态系统服务间权衡强度的主导因素,生态系统服务间权衡强度并非受单一因素的影响,两种服务间的相互作用或共同影响因素的驱动是其决定因素。研究结果可为国土空间生态修复规划策略的制定提供参考。

关键词: 生态系统服务, 权衡效应, 地理探测器, 影响因素, 清江流域

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

张自正, 张蕾, 孙桂英, 刘俊祥. 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.

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.

参考文献 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

清江流域生态系统服务权衡时空效应及驱动因素

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

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 39

相关文章 15

编辑推荐

Metrics

本文评价

[1]	梁华秋, 沈梦晗, 邵明, 姚朋. 基于生态系统服务供需的临沂市固碳生态网络构建 [J]. 应用生态学报, 2024, 35(3): 759-768.
[2]	梁仕豪, 李文, 高宇, 刘保住. 吉林省生态系统服务价值与景观生态风险关联性及其空间分异 [J]. 应用生态学报, 2024, 35(3): 769-779.
[3]	路昌, 蔡雪芹, 郝灿书, 刘玉珍, 王之语, 马亚男. 黄河三角洲高效生态经济区生态系统服务权衡协同关系 [J]. 应用生态学报, 2024, 35(2): 457-468.
[4]	申继凯, 黄懿梅, 黄倩, 徐凤璟. 黄土高原不同植被类型土壤微生物残体碳的积累及其对有机碳的贡献 [J]. 应用生态学报, 2024, 35(1): 124-132.
[5]	于海霞, 王禹骁. 东江流域生态系统服务价值的时空演变及空间分异机制 [J]. 应用生态学报, 2023, 34(9): 2498-2506.
[6]	祁育汀, 张平, 刘雷, 马雪楠, 王欢, 赵娟. 关中平原城市群土地利用结构多情景优化和生态系统服务价值预测 [J]. 应用生态学报, 2023, 34(9): 2507-2517.
[7]	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.
[8]	张岁梦, 叶丽敏, 周肄智, 王晓霞, 许元科, 姜姜, 刘自强. 南方丘陵区马尾松-麻栎群落水分利用来源及其影响因素 [J]. 应用生态学报, 2023, 34(7): 1729-1736.
[9]	巴晓博, 隋鑫, 刘鸣达, 解宏图, 梁超, 鲍雪莲. 东北黑土区覆盖作物-玉米间作保护性耕作的生态系统服务价值 [J]. 应用生态学报, 2023, 34(7): 1883-1891.
[10]	陈红莲, 李瑞, 张玉珊, 吴清林, 袁江, 高家勇. 赤水河流域不同地貌区生态系统健康对比 [J]. 应用生态学报, 2023, 34(7): 1912-1922.
[11]	邵明勤, 王剑颖, 丁红秀. 中国白鹤越冬适宜生境模拟及种群扩张驱动因素 [J]. 应用生态学报, 2023, 34(6): 1639-1648.
[12]	赵梓琨, 田园盛, 翁学先, 李欢玮, 孙文义. 1986—2021年黄河流域地表水体面积的时空变化特征 [J]. 应用生态学报, 2023, 34(3): 761-769.
[13]	石铁矛, 王迪, 汤煜, 李沛颖, 初亚奇. 城市生态系统碳汇固碳能力计算方法与影响因素研究进展 [J]. 应用生态学报, 2023, 34(2): 555-565.
[14]	冯平, 杨妮娟, 李建柱. 滦河流域遥感生态指数改进及生态环境质量评价 [J]. 应用生态学报, 2023, 34(12): 3195-3202.
[15]	唐吉喆, 徐梦冉, 莫宇, 吴伟赜, 张靖, 李政海, 鲍雅静. 生态地理分区视角下的辽宁省植被归一化植被指数的时空变化 [J]. 应用生态学报, 2023, 34(12): 3271-3278.