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作 者:佟玲玲 魏晓燕[3] 宋秀华 毛旭锋[1,2] 金鑫 金彦香[1,2] 季海川 唐文家 TONG Lingling;WEI Xiaoyan;SONG Xiuhua;MAO Xufeng;JIN Xin;JIN Yanxiang;JI Haichuan;TANG Wenjia(Key Laboratory of Surface Process and Ecological Conservation of Qinghai-Tibet Plateau,Key Laboratory of Physical Geography and Environmental Process of Qinghai Province,Xining 810008,China;School of Geography Science,Qinghai Normal University,Academy of Plateau Science and Sustainable College Geography Science,Xining 810008,China;School of Economics and Management,Qinghai Normal University,Xining 810008,China;Qinghai Huangshui National Wetland Park Ecological Management Service Center,Xining 810008,China;Qinghai Forestry and Grassland Bureau,Xining 810008,China;Qinghai Provincial Department of Ecology and Environment,Xining 810008,China)
机构地区:[1]青藏高原地表过程与生态保育教育部重点实验室,青海省自然地理与环境过程重点实验室,西宁810008 [2]高原科学与可持续发展研究院,青海师范大学地理科学学院,西宁810008 [3]青海师范大学经济与管理学院,西宁810008 [4]青海湟水国家湿地公园生态管理服务中心,西宁810008 [5]青海省林草局,西宁810008 [6]青海省生态环境厅,西宁810008
出 处:《生态学报》2022年第11期4630-4639,共10页Acta Ecologica Sinica
基 金:国家自然科学基金项目(51669028);中国科学院“西部青年学者”项目“青海典型城市湿地生态系统服务时空格局及其增溢机制研究”资助;青海省创新平台建设专项青海省自然地理与环境过程重点实验室(2020⁃ZJ⁃Y06)。
摘 要:湿地为城市发展提供巨大的生态系统服务,但其被市场“认可”的经济价值难以准确评估。以青海省西宁市城市湿地为例,筛选房屋结构、可达性、环境、湿地等10个因子,采用享乐价格模型对110个湿地周边社区样点的因子数据(2020年)进行分析,定量分析城市湿地被市场“认可”的价值量。采用断裂点理论和加权Voronoi图模型方法等,分析了湿地生态系统服务价值的空间影响范围;构建了湿地生态系统服务价值影响因素的结构方程模型,探究了影响湿地生态系统服务价值的主要因素。结果表明:(1)2020年湟水城市湿地的总价值达到3.367亿元,约有54.3%的生态系统服务通过房产被市场转化;(2)湟水湿地单位面积的生态系统服务价值为151.916元/m^(2),生态系统服务价值由大到小排列:火烧沟(1.632亿元)>海湖湿地(0.710亿元)>宁海湿地(0.629亿元)>北川湿地(0.330亿元);(3)湿地生态系统服务价值占房产总价值的比例达到2.04%,位列10个因素中的第7位;线性函数模型结果显示,购买者对湿地的边际支付意愿是0.12元/m^(2),即购买者愿意为房产与湿地之间的距离每缩小1m而多支付0.12元。(4)购房者对湿地生态系统服务的支付意愿主要体现在文化服务上(47.19%)。Wetlands provide huge ecosystem services for urban development,but its market⁃realized economic value is difficult to evaluate accurately.Taking the urban wetland of the Xining City as an example,this study utilized the Hedonic Price Modeling(HPM)to analyze the data from 10 selected factors,of 110 wetland⁃surrounding community sample sites in 2020,and quantitatively analyzed of the“realized”value of urban wetland by the market.Based on Breakpoint model and the Weighted Voronoi Diagram model method,the spatial influence range of wetland ecosystem services were analyzed.The Structural Equation Model was constructed to explore the major factors affecting wetland ecosystem service values.The results showed that:(1)in 2020,the total value of Huangshui urban wetlands reached 336.7 million yuan,and about 54.3%of the ecosystem services were transformed by the market through real estate;(2)The ecosystem service value per unit area of Huangshui Wetland was 151.916 yuan/m^(2).Ecosystem service value ranged from large to small as Huoshaogou Wetland(163.2 million yuan)>Haihu Wetland(71.0 million yuan)>Ninghu Wetland(62.9 million yuan)>Beichuan Wetland(33.0 million yuan);(3)The Xining urban wetland ecosystem service value accounted for 2.04%of the total value of the property,ranking 7th out of the 10 factors.Linear function model results showed that the purchaser′s marginal willingness to pay to these wetlands was$0.12/m2.These households were willing to pay$0.12 more for every 1 m distance reduction between their property and these wetlands.(4)Homebuyers′willingness to pay for wetland ecosystem services was mainly reflected in cultural services(47.19%).
分 类 号:X171.1[环境科学与工程—环境科学]
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