承灾脆弱性视角下的生态系统服务需求评估及供需空间匹配
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摘要
生态系统服务供需空间分布格局及匹配关系是生态系统服务领域的热点问题。将生态系统服务聚焦于增强城市系统承受自然灾害的能力和恢复力功能上,引入承灾脆弱性表征生态系统服务需求。选择首批经济特区之一的珠海市为案例研究区,土壤保持服务为供需分析的对象,利用承灾脆弱性评价城市系统及居民的服务需求并刻画需求的空间异质性,采用基于"3S技术"的In VEST模型定量评估服务供给潜力,从流域与镇、街道两种尺度分析生态系统服务供需匹配状况,以期为市级土地利用管理、景观格局优化及城市经济建设提供建议。研究结果表明:根据供需空间匹配状况,珠海市包含高供给高需求、低供给高需求、低供给低需求与高供给低需求四种供需匹配类型。珠海市土壤保持服务供需空间错位状况较为严重,人口密集的城镇区域需求极高但供给严重缺乏,部分生态源地的高供给无法惠及周边区域人口;兼顾经济建设与生态保护的高供给高需求地区仅占全域面积的8.7%;以农业导向且经济发展缓慢的低供给低需求地区分布较广。是对生态系统服务供给与需求的空间异质性刻画及供需空间匹配的重要尝试,为城市建设和生态管理提供参考。
The spatial distribution pattern and matching relationship of ecosystem service supply and demand are fundamental issues in the field of ecosystem services. Focusing on ecosystem services to enhance the ability of urban systems to withstand natural disasters and resilience functions,this paper introduced vulnerability to disaster-withstanding to evaluate the ecosystem service demand. Zhuhai City,one of the first special economic zones,was selected as the case study area. Soil conservation service was the focus of the supply and demand analysis. Vulnerability to disaster-withstanding was used to evaluate the demand of urban systems and residents and represented the spatial heterogeneity of demand. The InVEST model based on "3 S technology "was used to quantitatively assess the supply potential. The matching state of ecosystem service supply and demand was analyzed on both watershed and town-street scales to provide suggestions for municipal land use management,landscape optimization,and urban economic construction. The results showed that according to the spatial matching of supply and demand,Zhuhai included high supply and high demand,low supply andhigh demand,low supply and low demand,and high supply and low demand. The spatial misalignment of supply and demand of soil conservation services in Zhuhai was considered relatively serious. The demand of densely populated urban areas was extremely high,but there was a serious lack of supply,whereas the high supply of some ecological sources could not benefit the population of surrounding areas. High supply and high demand areas, taking account of economic construction and ecological protection,only accounted for 8.7%. Low supply and low demand areas were widely distributed,which were agriculture-oriented with slow economies. This study was an important attempt to describe the spatial heterogeneity of ecosystem service supply and demand and spatially match supply and demand,which provides a reference to urban construction and ecological management.
The spatial distribution pattern and matching relationship of ecosystem service supply and demand are fundamental issues in the field of ecosystem services. Focusing on ecosystem services to enhance the ability of urban systems to withstand natural disasters and resilience functions,this paper introduced vulnerability to disaster-withstanding to evaluate the ecosystem service demand. Zhuhai City,one of the first special economic zones,was selected as the case study area. Soil conservation service was the focus of the supply and demand analysis. Vulnerability to disaster-withstanding was used to evaluate the demand of urban systems and residents and represented the spatial heterogeneity of demand. The InVEST model based on "3 S technology "was used to quantitatively assess the supply potential. The matching state of ecosystem service supply and demand was analyzed on both watershed and town-street scales to provide suggestions for municipal land use management,landscape optimization,and urban economic construction. The results showed that according to the spatial matching of supply and demand,Zhuhai included high supply and high demand,low supply andhigh demand,low supply and low demand,and high supply and low demand. The spatial misalignment of supply and demand of soil conservation services in Zhuhai was considered relatively serious. The demand of densely populated urban areas was extremely high,but there was a serious lack of supply,whereas the high supply of some ecological sources could not benefit the population of surrounding areas. High supply and high demand areas, taking account of economic construction and ecological protection,only accounted for 8.7%. Low supply and low demand areas were widely distributed,which were agriculture-oriented with slow economies. This study was an important attempt to describe the spatial heterogeneity of ecosystem service supply and demand and spatially match supply and demand,which provides a reference to urban construction and ecological management.
引文
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[24] Villamagna A M,Angermeier P L,Bennett E M. Capacity,pressure,demand,and flow:a conceptual framework for analyzing ecosystem service provision and delivery. Ecological Complexity,2013,15:114-121.
[25]李祖芬,于雷,高永,吴亦政,龚大鹏,宋国华.基于手机信令定位数据的居民出行时空分布特征提取方法.交通运输研究,2016,2(1):51-57.
[26]钟炜菁,王德,谢栋灿,晏龙旭.上海市人口分布与空间活动的动态特征研究——基于手机信令数据的探索.地理研究,2017,36(5):972-984.
[27]刘纪远,宁佳,匡文慧,徐新良,张树文,颜长珍,李仁东,吴世新,胡云锋,杜国明,迟文峰,潘涛,宁静. 2010-2015年中国土地利用变化的时空格局与新特征.地理学报,2018,73(5):789-802.
[28]周彬,余新晓,陈丽华,张振明,吕锡芝,范敏锐.基于In VEST模型的北京山区土壤侵蚀模拟.水土保持研究,2010,17(6):9-13,19-19.
[29]李婷,刘康,胡胜,包玉斌.基于InVEST模型的秦岭山地土壤流失及土壤保持生态效益评价.长江流域资源与环境,2014,23(9):1242-1250.
[30]陈姗姗,刘康,李婷,袁家根.基于In VEST模型的商洛市水土保持生态服务功能研究.土壤学报,2016,53(3):800-807.
[31]唐秀美,刘玉,刘新卫,潘瑜春,吴彦澎,李虹.基于格网尺度的区域生态系统服务价值估算与分析.农业机械学报,2017,48(4):149-153,205-205.
[32]李锋,王如松.城市绿地系统的生态服务功能评价、规划与预测研究——以扬州市为例.生态学报,2003,23(9):1929-1936.
[2]王如松,欧阳志云.社会-经济-自然复合生态系统与可持续发展.中国科学院院刊,2012,27(3):337-345.
[3]肖玉,谢高地,鲁春霞,徐洁.基于供需关系的生态系统服务空间流动研究进展.生态学报,2016,36(10):3096-3102.
[4]马琳,刘浩,彭建,吴健生.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]王文美,吴璇,李洪远.滨海新区生态系统服务功能供需量化研究.生态科学,2013,32(3):379-385.
[6] Schulp C J E,Lautenbach S,Verburg P H. Quantifying and mapping ecosystem services:demand and supply of pollination in the European Union.Ecological Indicators,2014,36:131-141.
[7]白杨,王敏,李晖,黄沈发,Alatalo J M.生态系统服务供给与需求的理论与管理方法研究.生态学报,2017,37(17):5846-5852.
[8] Kienast F,Bolliger J,Potschin M,de Groot R S,Verburg P H,Heller I,Wascher D,Haines-Young R. Assessing landscape functions with broadscale environmental data:insights gained from a prototype development for Europe. Environmental Management,2009,44(6):1099-1120.
[9] Sohel M S I,Mukul S A,Burkhard B. Landscape's capacities to supply ecosystem services in Bangladesh:a mapping assessment for Lawachara National Park. Ecosystem Services,2015,12:128-135.
[10] Burkhard B,Müeller A,Müeller F,Grescho V,Anh Q,Arida G,Bustamante J V,van Chien H,Heong K L,Escalada M,Marquez L,Truong D T,Villareal S,Settele J. Land cover-based ecosystem service assessment of irrigated rice cropping systems in southeast Asia—an explorative study.Ecosystem Services,2015,14:76-87.
[11]彭建,杨旸,谢盼,刘焱序.基于生态系统服务供需的广东省绿地生态网络建设分区.生态学报,2017,37(13):4562-4572.
[12] Lautenbach S,Seppelt R,Liebscher J,Dormann C F. Spatial and temporal trends of global pollination benefit. PLoS One,2012,7(4):e35954.
[13] Wolff S,Schulp C J E,Verburg P H. Mapping ecosystem services demand:a review of current research and future perspectives. Ecological Indicators,2015,55:159-171.
[14]严岩,朱捷缘,吴钢,詹云军.生态系统服务需求、供给和消费研究进展.生态学报,2017,37(8):2489-2496.
[15] Li J H,Jiang H W,Bai Y,Alatalo J M,Li X,Jiang H W,Liu G,Xu J. Indicators for spatial-temporal comparisons of ecosystem service status between regions:a case study of the Taihu River Basin,China. Ecological Indicators,2016,60:1008-1016.
[16] Burkhard B,Kroll F,Nedkov S,Müeller F. Mapping ecosystem service supply,demand and budgets. Ecological Indicators,2012,21:17-29.
[17] Nedkov S,Burkhard B. Flood regulating ecosystem services-mapping supply and demand,in the Etropole municipality,Bulgaria. Ecological Indicators,2012,21:67-79.
[18] Palomo I,Martín-López B,Potschin M,Haines-Young R,Montes C. National Parks,buffer zones and surrounding lands:Mapping ecosystem service flows. Ecosystem Services,2013,4:104-116.
[19] Kroll F,Müller F,Haase D,Fohrer N. Rural-urban gradient analysis of ecosystem services supply and demand dynamics. Land Use Policy,2012,29(3):521-535.
[20] Stürck J,Poortinga A,Verburg P H. Mapping ecosystem services:the supply and demand of flood regulation services in Europe. Ecological Indicators,2014,38:198-211.
[21] Liquete C,Zulian G,Delgado I,Stips A,Maes J. Assessment of coastal protection as an ecosystem service in Europe. Ecological Indicators,2013,30:205-217.
[22]饶恩明,肖燚,欧阳志云,郑华.海南岛生态系统土壤保持功能空间特征及影响因素.生态学报,2013,33(3):746-755.
[23] Nelson E,Mendoza G,Regetz J,Polasky S,Tallis H,Cameron D R,Chan K M A,Daily G C,Goldstein J,Kareiva P M,Lonsdorf E,Naidoo R,Ricketts T H,Shaw M R. Modeling multiple ecosystem services,biodiversity conservation,commodity production,and tradeoffs at landscape scales. Frontiers in Ecology and the Environment,2009,7(1):4-11.
[24] Villamagna A M,Angermeier P L,Bennett E M. Capacity,pressure,demand,and flow:a conceptual framework for analyzing ecosystem service provision and delivery. Ecological Complexity,2013,15:114-121.
[25]李祖芬,于雷,高永,吴亦政,龚大鹏,宋国华.基于手机信令定位数据的居民出行时空分布特征提取方法.交通运输研究,2016,2(1):51-57.
[26]钟炜菁,王德,谢栋灿,晏龙旭.上海市人口分布与空间活动的动态特征研究——基于手机信令数据的探索.地理研究,2017,36(5):972-984.
[27]刘纪远,宁佳,匡文慧,徐新良,张树文,颜长珍,李仁东,吴世新,胡云锋,杜国明,迟文峰,潘涛,宁静. 2010-2015年中国土地利用变化的时空格局与新特征.地理学报,2018,73(5):789-802.
[28]周彬,余新晓,陈丽华,张振明,吕锡芝,范敏锐.基于In VEST模型的北京山区土壤侵蚀模拟.水土保持研究,2010,17(6):9-13,19-19.
[29]李婷,刘康,胡胜,包玉斌.基于InVEST模型的秦岭山地土壤流失及土壤保持生态效益评价.长江流域资源与环境,2014,23(9):1242-1250.
[30]陈姗姗,刘康,李婷,袁家根.基于In VEST模型的商洛市水土保持生态服务功能研究.土壤学报,2016,53(3):800-807.
[31]唐秀美,刘玉,刘新卫,潘瑜春,吴彦澎,李虹.基于格网尺度的区域生态系统服务价值估算与分析.农业机械学报,2017,48(4):149-153,205-205.
[32]李锋,王如松.城市绿地系统的生态服务功能评价、规划与预测研究——以扬州市为例.生态学报,2003,23(9):1929-1936.