School of Land Science and Technology, China University of Geosciences, 29 Xueyuan Rd, Beijing 100083, China.
School of Land Science and Technology, China University of Geosciences, 29 Xueyuan Rd, Beijing 100083, China; Key Lab of Land Consolidation and Rehabilitation, Ministry of Land and Resources, 37 Guanying Rd, Beijing 100035, China.
Sci Total Environ. 2019 Feb 1;649:582-591. doi: 10.1016/j.scitotenv.2018.08.116. Epub 2018 Aug 9.
This study used the revised three-dimensional ecological footprint model (3DEF), to calculate the status of sustainable ecological development in Shandong Province in 2010-2015, analyze dynamic changes in sustainability characteristics, and explore factors affecting sustainable development. The results showed the following (Wackernagel & Rees, 1996). Seventeen prefecture-level cities featured varying degrees of ecological deficits, and ecological development was unsustainable in all cities (Wackernagel et al., 2004). Footprint sizes differed between the cities, but changed little over time. Cropland was the main contributor to footprint size, as it was the main capital flow utilization component (Daly, 1994). For all cities, footprint depth exceeded the original length of 1; lack of capital flow caused capital stock depletion. There was a significant positive linear correlation between changes in energy footprint and footprint depth (Zhou et al., 2015). The 17 prefecture-level cities were divided into four natural capital utilization categories using clustering: zone I (2 cities), in which capital stock consumption greatly exceeded capital flow occupancy, contain the most severe ecological stress; zone II (9 cities), wherein the level of stock capital consumption was significantly higher than capital flow consumption, the regional development pressure was greater, and the ecological sustainability was lower; zone III (4 cities), which featured mild natural capital utilization and a relatively high capacity for sustainable development; zone IV(2 cities), which featured lagging stock capital utilization, relatively, and the highest capacity for sustainable development. These results would help coordinate resource utilization and economic development in Shandong Province.
本研究采用修正后的三维生态足迹模型(3DEF),计算了 2010-2015 年山东省可持续生态发展的状况,分析了可持续性特征的动态变化,并探讨了影响可持续发展的因素。结果表明(Wackernagel 和 Rees,1996)。17 个地级市存在不同程度的生态赤字,所有城市的生态发展都是不可持续的(Wackernagel 等人,2004)。城市之间的足迹大小不同,但随着时间的推移变化不大。耕地是足迹大小的主要贡献者,因为它是主要的资本流动利用组成部分(Daly,1994)。对于所有城市,足迹深度超过原始长度 1;缺乏资本流动导致资本存量枯竭。能源足迹变化与足迹深度呈显著正线性相关(Zhou 等人,2015)。采用聚类法将 17 个地级市分为四个自然资本利用类:区 I(2 个城市),其中资本存量消耗大大超过资本流动占用,包含最严重的生态压力;区 II(9 个城市),其中资本存量消耗水平明显高于资本流动消耗,区域发展压力较大,生态可持续性较低;区 III(4 个城市),其特点是自然资本利用温和,可持续发展能力较高;区 IV(2 个城市),其特点是资本存量利用滞后,相对而言,可持续发展能力最高。这些结果将有助于协调山东省的资源利用和经济发展。