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首页> 外文期刊>The Science of the Total Environment >Evaluation of ecological sustainability based on a revised three-dimensional ecological footprint model in Shandong Province, China
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Evaluation of ecological sustainability based on a revised three-dimensional ecological footprint model in Shandong Province, China

机译:基于修正的山东省三维生态足迹模型的生态可持续性评价

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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. (C) 2018 Published by Elsevier B.V.
机译:本研究使用修订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状况。分析可持续性特征的动态变化,并探索影响可持续发展的因素。结果表明如下(Wackernagel&Rees,1996)。 17个地级市的生态赤字程度不同。而且所有城市的生态发展都是不可持续的(Wackernagel等,2004)。城市间的足迹大小有所不同,但随着时间的推移变化不大。农田是足迹规模的主要贡献者,因为它是资本流动利用的主要组成部分(Daly,1994)。对于所有城市,足迹深度都超过了原始长度1;资本流动不足导致资本存量枯竭。能量足迹和足迹深度的变化之间存在显着的线性正相关(Zhou et al。,2015)。通过聚类,将17个地级市分为四个自然资本利用类别:第一区(2个城市),其资本存量消耗大大超过资本流动占用,生态压力最大;二区(9个城市),其库存资本消耗水平明显高于资本流动消耗水平,区域发展压力较大,生态可持续性较低;第三区(4个城市),自然资本利用温和,可持续发展能力较高;第四区(2个城市),相对而言,其股本利用相对滞后,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。 (C)2018由Elsevier B.V.发布

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