地理学报 ›› 2021, Vol. 76 ›› Issue (11): 2780-2796.doi: 10.11821/dlxb202111013
收稿日期:
2020-06-22
修回日期:
2021-03-25
出版日期:
2021-11-25
发布日期:
2022-01-25
作者简介:
赵雪雁(1971-), 女, 甘肃武都人, 博士, 教授, 主要从事生态经济研究。E-mail: zhaoxy@nwnu.edu.cn
基金资助:
ZHAO Xueyan(), MA Pingyi, LI Wenqing, DU Yuxuan
Received:
2020-06-22
Revised:
2021-03-25
Published:
2021-11-25
Online:
2022-01-25
Supported by:
摘要:
明晰生态系统服务供需匹配关系,对实现区域生态安全与社会经济可持续发展具有重要推动作用。本文以黄土高原为案例区,应用InVEST模型、ArcGIS、GeoDA等分析工具,分析黄土高原粮食供应、水源涵养、碳固存、土壤保持等服务的供需量及其匹配关系的时空变化,旨在为黄土高原国土空间格局优化提供决策依据。结果表明:1990—2018年,① 黄土高原除水源涵养服务供给量外,其他生态系统服务供需量均呈上升趋势,且各生态系统服务供给量及土壤保持服务需求量均呈“东南高、西北低”的分布特征,而粮食供应、水源涵养、碳固存服务需求量呈“四周高、中间低”的分布特征;② 各类生态系统服务供需比均呈下降趋势。空间分布上,粮食供应、碳固存服务在黄土高原四周人口密集区供不应求,而其他区域供大于求;水源涵养服务在该区西北部供不应求,但东南部供大于求;土壤保持服务供不应求区集中于鄂尔多斯高原及海北州北部;③ 各类生态系统服务供需均以低低空间匹配为主;④ 粮食供应、水源涵养、碳固存服务供需比的空间分布均以高高集聚为主,而土壤保持服务以低低集聚和高高集聚为主。除土壤保持服务供需比的空间集聚性有所增强外,其他生态系统服务均呈减弱趋势。
赵雪雁, 马平易, 李文青, 杜昱璇. 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.
ZHAO Xueyan, MA Pingyi, LI Wenqing, DU Yuxuan. Spatiotemporal changes of supply and demand relationships of ecosystem services in the Loess Plateau[J]. Acta Geographica Sinica, 2021, 76(11): 2780-2796.
[1] |
Han R, Feng C C, Xu N Y, et al. Spatial heterogeneous relationship between ecosystem services and human disturbances: A case study in Chuandong, China. Science of the Total Environment, 2020, 721:137818. DOI: 10.1016/j.scitotenv.2020.137818.
doi: 10.1016/j.scitotenv.2020.137818 |
[2] | United Nations. Transforming Our World: The 2030 Agenda for Sustainable Development. New York: United Nations, 2015. |
[3] |
Wu X, Liu S L, Zhao S, et al. Quantification and driving force analysis of ecosystem services supply, demand and balance in China. Science of the Total Environment, 2019, 652:1375-1386.
doi: 10.1016/j.scitotenv.2018.10.329 |
[4] |
Ma Lin, Liu Hao, Peng Jian, et al. A review of ecosystem services supply and demand. Acta Geographica Sinica, 2017, 72(7):1277-1289.
doi: 10.11821/dlxb201707012 |
[马琳, 刘浩, 彭建, 等. 生态系统服务供给和需求研究进展. 地理学报, 2017, 72(7):1277-1289.] | |
[5] |
Zhai T L, Wang J, Jin Z F, et al. Did improvements of ecosystem services supply-demand imbalance change environmental spatial injustices? Ecological Indicators, 2020, 111:106068. DOI: 10.1016/j.ecolind.2020.106068.
doi: 10.1016/j.ecolind.2020.106068 |
[6] |
Wang J, Zhai T L, Lin Y F, et al. Spatial imbalance and changes in supply and demand of ecosystem services in China. Science of the Total Environment, 2019, 657:781-791.
doi: 10.1016/j.scitotenv.2018.12.080 |
[7] |
Lorilla R S, Kalogirou S, Poirazidis K, et al. Identifying spatial mismatches between the supply and demand of ecosystem services to achieve a sustainable management regime in the Ionian Islands (Western Greece). Land Use Policy, 2019, 88:104171. DOI: 10.1016/j.landusepol.2019.104171.
doi: 10.1016/j.landusepol.2019.104171 |
[8] |
Xu Q, Yang R, Zhuang D C, et al. Spatial gradient differences of ecosystem services supply and demand in the Pearl River Delta region. Journal of Cleaner Production, 2021, 279:123849. DOI: 10.1016/j.jclepro.2020.123849.
doi: 10.1016/j.jclepro.2020.123849 |
[9] |
Guan Q C, Hao J M, Ren G P, et al. Ecological indexes for the analysis of the spatial-temporal characteristics of ecosystem service supply and demand: A case study of the major grain-producing regions in Quzhou, China. Ecological Indicators, 2020, 108:105748. DOI: 10.1016/j.ecolind.2019.105748.
doi: 10.1016/j.ecolind.2019.105748 |
[10] |
Ala-Hulkko T, Kotavaara O, Alahuhta J, et al. Mapping supply and demand of a provisioning ecosystem service across Europe. Ecological Indicators, 2019, 103:520-529.
doi: 10.1016/j.ecolind.2019.04.049 |
[11] |
Talukdar S, Singha P, Shahfahad, et al. Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India. Ecological Indicators, 2020, 112:106121. DOI: 10.1016/j.ecolind.2020.106121.
doi: 10.1016/j.ecolind.2020.106121 |
[12] |
Peng J, Wang X Y, Liu Y X, et al. Urbanization impact on the supply-demand budget of ecosystem services: Decoupling analysis. Ecosystem Services, 2020, 44:101139. DOI: 10.1016/j.ecoser.2020.101139.
doi: 10.1016/j.ecoser.2020.101139 |
[13] |
Liu Licheng, Liu Chunfang, Wang Chuan, et al. Supply and demand matching of ecosystem services in loess hilly region: A case study of Lanzhou. Acta Geographica Sinica, 2019, 74(9):1921-1937.
doi: 10.11821/dlxb201909016 |
[刘立程, 刘春芳, 王川, 等. 黄土丘陵区生态系统服务供需匹配研究: 以兰州市为例. 地理学报, 2019, 74(9):1921-1937.] | |
[14] |
Cui F Q, Tang H P, 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. DOI: 10.1016/j.ecoser.2019.100984.
doi: 10.1016/j.ecoser.2019.100984 |
[15] |
Sun W, Li D H, Wang X R, et al. Exploring the scale effects, trade-offs and driving forces of the mismatch of ecosystem services. Ecological Indicators, 2019, 103:617-629.
doi: 10.1016/j.ecolind.2019.04.062 |
[16] |
Xie Yuchu, Zhang Suxin, Lin Bing, et al. Spatial zoning for land ecological consolidation in Guangxi based on the ecosystem services supply and demand. Journal of Natural Resources, 2020, 35(1):217-229.
doi: 10.31497/zrzyxb.20200118 |
[谢余初, 张素欣, 林冰, 等. 基于生态系统服务供需关系的广西县域国土生态修复空间分区. 自然资源学报, 2020, 35(1):217-229.] | |
[17] |
Chen D S, Li J, Yang X N, et al. Quantifying water provision service supply, demand and spatial flow for land use optimization: A case study in the Yanhe watershed. Ecosystem Services, 2020, 43:101117. DOI: 10.1016/j.ecoser.2020.101117.
doi: 10.1016/j.ecoser.2020.101117 |
[18] |
Wei H J, Liu H M, Xu Z H, et al. Linking ecosystem services supply, social demand and human well-being in a typical mountain-oasis-desert area, Xinjiang, China. Ecosystem Services, 2018, 31:44-57.
doi: 10.1016/j.ecoser.2018.03.012 |
[19] |
Meng S T, Huang Q X, Zhang L, et al. Matches and mismatches between the supply of and demand for cultural ecosystem services in rapidly urbanizing watersheds: A case study in the Guanting Reservoir basin, China. Ecosystem Services, 2020, 45:101156. DOI: 10.1016/j.ecoser.2020.101156.
doi: 10.1016/j.ecoser.2020.101156 |
[20] |
Wolff S, Schulp C J E, Kastner T, et al. Quantifying spatial variation in ecosystem services demand: A global mapping approach. Ecological Economics, 2017, 136:14-29.
doi: 10.1016/j.ecolecon.2017.02.005 |
[21] | Fu B J, Wang S, Liu Y, et al. Hydrogeomorphic ecosystem responses to natural and anthropogenic changes in the Loess Plateau of China. Annual Review of Earth & Planetary Sciences, 2017, 45(1):223-243. |
[22] | Wang Shuai, Fu Bojie, Wu Xutong, et al. Dynamics and sustainability of social-ecological systems in the Loess Plateau. Resources Science, 2020, 42(1):96-103. |
[王帅, 傅伯杰, 武旭同, 等. 黄土高原社会—生态系统变化及其可持续性. 资源科学, 2020, 42(1):96-103.] | |
[23] | Yang Yanfen, Wang Bing, Wang Guoliang, et al. Ecological regionalization and overview of the Loess Plateau. Acta Ecologica Sinica, 2019, 39(20):7389-7397. |
[杨艳芬, 王兵, 王国梁, 等. 黄土高原生态分区及概况. 生态学报, 2019, 39(20):7389-7397.] | |
[24] |
Liang W, Fu B J, Wang S, et al. Quantification of the ecosystem carrying capacity on China's Loess Plateau. Ecological Indicators. 2019, 101:192-202.
doi: 10.1016/j.ecolind.2019.01.020 |
[25] |
Liang Y J, Hashimoto S, Liu L J. Integrated assessment of land-use/land-cover dynamics on carbon storage services in the Loess Plateau of China from 1995 to 2050. Ecological Indicators, 2021, 120:106939. DOI: 10.1016/j.ecolind. 2020.106939.
doi: 10.1016/j.ecolind. 2020.106939 |
[26] |
Wang Y, Yang H X, Sun R X. Effectiveness of China's provincial industrial carbon emission reduction and optimization of carbon emission reduction paths in "lagging regions": Efficiency-cost analysis. Journal of Environmental Management, 2020, 275:111221. DOI: 10.1016/j.jenvman.2020.111221.
doi: 10.1016/j.jenvman.2020.111221 |
[27] |
Panek E, Gozdowski D. Analysis of relationship between cereal yield and NDVI for selected regions of Central Europe based on MODIS satellite data. Remote Sensing Applications: Society and Environment, 2020, 17:100286. DOI: 10.1016/j.rsase.2019.100286.
doi: 10.1016/j.rsase.2019.100286 |
[28] | Tang Huajun, Li Zhemin. Study on per capita grain demand based on Chinese reasonable dietary pattern. Scientia Agricultura Sinica, 2012, 45(11):2315-2327. |
[唐华俊, 李哲敏. 基于中国居民平衡膳食模式的人均粮食需求量研究. 中国农业科学, 2012, 45(11):2315-2327.] | |
[29] |
Wu X T, Wang S, Fu B J, et al. Socio-ecological changes on the Loess Plateau of China after Grain to Green Program. Science of the Total Environment, 2019, 678:565-573.
doi: 10.1016/j.scitotenv.2019.05.022 |
[30] |
Liu Y X, Lü Y H, Fu B J, et al. Quantifying the spatio-temporal drivers of planned vegetation restoration on ecosystem services at a regional scale. Science of the Total Environment, 2019, 650:1029-1040.
doi: 10.1016/j.scitotenv.2018.09.082 |
[31] | Wang Jiali, Zhou Weiqi. Ecosystem service flows: Recent progress and future perspectives. Acta Ecologica Sinica, 2019, 39(12):4213-4222. |
[王嘉丽, 周伟奇. 生态系统服务流研究进展. 生态学报, 2019, 39(12):4213-4222.] |
[1] | 胡畔, 陈波, 史培军. 中国暴雨洪涝灾情时空格局及影响因素[J]. 地理学报, 2021, 76(5): 1148-1162. |
[2] | 李钢, 薛淑艳, 马雪瑶, 周俊俊, 徐婷婷, 王皎贝. 中国失踪人口的时空格局演变与形成机制[J]. 地理学报, 2021, 76(2): 310-325. |
[3] | 胡胜, 邱海军, 王宁练, 崔一飞, 曹明明, 王家鼎, 王新刚. 地形对黄土高原滑坡的影响[J]. 地理学报, 2021, 76(11): 2697-2709. |
[4] | 刘志涛, 王少剑, 方创琳. 粤港澳大湾区生态系统服务价值的时空演化及其影响机制[J]. 地理学报, 2021, 76(11): 2797-2813. |
[5] | 周侃, 李会, 申玉铭. 京津冀地区县域环境胁迫时空格局及驱动因素[J]. 地理学报, 2020, 75(9): 1934-1947. |
[6] | 宋周莺, 祝巧玲. 中国边境地区的城镇化格局及其驱动力[J]. 地理学报, 2020, 75(8): 1603-1616. |
[7] | 温庆志, 孙鹏, 张强, 姚蕊. 非平稳标准化降水蒸散指数构建及中国未来干旱时空格局[J]. 地理学报, 2020, 75(7): 1465-1482. |
[8] | 张琨, 吕一河, 傅伯杰, 尹礼唱, 于丹丹. 黄土高原植被覆盖变化对生态系统服务影响及其阈值[J]. 地理学报, 2020, 75(5): 949-960. |
[9] | 张静静, 朱文博, 朱连奇, 李艳红. 伏牛山地区森林生态系统服务权衡/协同效应多尺度分析[J]. 地理学报, 2020, 75(5): 975-988. |
[10] | 鲁大铭, 杨新军, 石育中, 王子侨. 黄土高原乡村体制转换与转型发展[J]. 地理学报, 2020, 75(2): 348-364. |
[11] | 于贵瑞, 李文华, 邵明安, 张扬建, 王绍强, 牛书丽, 何洪林, 戴尔阜, 李发东, 马泽清. 生态系统科学研究与生态系统管理[J]. 地理学报, 2020, 75(12): 2620-2635. |
[12] | 李睿倩, 李永富, 胡恒. 生态系统服务对国土空间规划体系的理论与实践支撑[J]. 地理学报, 2020, 75(11): 2417-2430. |
[13] | 刘晓燕, 刘昌明, 党素珍. 黄土丘陵区雨强对水流含沙量的影响[J]. 地理学报, 2019, 74(9): 1723-1732. |
[14] | 刘立程, 刘春芳, 王川, 李鹏杰. 黄土丘陵区生态系统服务供需匹配研究——以兰州市为例[J]. 地理学报, 2019, 74(9): 1921-1937. |
[15] | 佟彪, 党安荣, 许剑. 300 BC-1900 AD无定河流域城镇时空格局演变[J]. 地理学报, 2019, 74(8): 1508-1524. |