School of Urban Design, Wuhan University, Wuhan 430070, China.
School of Urban Design, Wuhan University, Wuhan 430070, China.
Sci Total Environ. 2020 Jul 10;725:138452. doi: 10.1016/j.scitotenv.2020.138452. Epub 2020 Apr 6.
Understanding the spatial distribution characteristics of ecosystem service value (ESV) and their underlying driving factors is critical for ecosystem service management. Using three national-level urban agglomerations in the Yangtze River Economic Belt, Cheng-Yu (CY), Middle-Reach Yangtze River (MRYR), and Yangtze River Delta (YRD), as a case study, this paper quantifies the ESVs and the spatial distribution characteristics, analyzes the driving factors of ESVs using the stochastic impacts by regression on population, affluence, and technology model (STIRPAT). The results specify that: (1) Over the study period 2009-2016, the total ESV of the three urban agglomerations decreases by 5498.70 million USD. The regulating, supporting, and cultural service decrease by 4607.60, 2648.01, and 1182.25 million USD, respectively, while the provisioning service increases by 2795.15 million USD. (2) ESV in MRYR undergoes the largest reduction of 4269.70 million USD, followed by CY and YRD with 1015.66 and 213.35 million USD from 2009 to 2016. (3) In 2016, among the 70 cities at the prefecture level or above, the cities with high total ESV, per unit area ESV, and per capita EVS are mainly distributed to the areas of the south Yangtze River of MRYR and YRD, MRYR, and MRYR and YRD, respectively. (4) In general, land use and cover, population are the main factors affecting ESVs, followed by economic, social and political factors. Among the three urban agglomerations, population, land use and cover basically have the equally important impacts on ESV in CY; land use and cover, especially the proportion of urban construction land has the greatest impact on ESV in MRYR; population, especially the urbanization rate has the greatest impact in YRD. The comparative analysis of the driving factors of ESVs in different regions is helpful to propose differentiated ecological protection policies and promote the increase of ESV accordingly.
理解生态系统服务价值（ESV）的空间分布特征及其潜在驱动因素对于生态系统服务管理至关重要。本研究以长江经济带的三个国家级城市群——成渝（CY）、长江中游（MRYR）和长江三角洲（YRD）为例，量化了 ESV 及其空间分布特征，利用随机影响回归人口、富裕和技术模型（STIRPAT）分析了 ESV 的驱动因素。结果表明：（1）在 2009-2016 年期间，三个城市群的总 ESV 减少了 5498.70 亿美元。调节、支持和文化服务分别减少了 4607.60、2648.01 和 1182.25 亿美元，而供给服务增加了 2795.15 亿美元。（2）MRYR 的 ESV 减少量最大，为 4269.70 亿美元，其次是 CY 和 YRD，分别减少了 1015.66 亿美元和 213.35 亿美元。（3）2016 年，在 70 个以上的地级市中，总 ESV、单位面积 ESV 和人均 ESV 较高的城市主要分布在 MRYR 和 YRD 的江南地区、MRYR 以及 MRYR 和 YRD。（4）总体而言，土地利用和覆盖、人口是影响 ESV 的主要因素，其次是经济、社会和政治因素。在三个城市群中，人口、土地利用和覆盖对 CY 的 ESV 基本具有同等重要的影响；土地利用和覆盖，特别是城市建设用地比例对 MRYR 的 ESV 影响最大；人口，特别是城市化率对 YRD 的 ESV 影响最大。对不同区域 ESV 驱动因素的比较分析有助于提出有区别的生态保护政策，从而提高 ESV。
