Cropland use sustainability in Cheng-Yu Urban Agglomeration, China: Evaluation framework, driving factors and development paths
Cropland use sustainability in Cheng-Yu Urban Agglomeration, China: Evaluation framework, driving factors and development paths
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中国成渝城市群耕地利用可持续性：评价框架、驱动因素和发展路径
DOI：
10.1016/j.jclepro.2020.120692
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发表时间：
2020-05-20
影响因子：
11.1
通讯作者：
Chen, Yiyun
中科院分区：
文献类型：
--
作者：
Cheng, Chao;Liu, Yaolin;Chen, Yiyun
农田及其对可持续模式的生产在支持经济社会生物学的良性圈子和实现可持续发展目标方面起着必不可少的作用。这项研究以中国为中国的郑城城市聚集区，以改进的生态足迹分析和三角形模型，开发了一个评估框架，以将农田的使用概念化为经济社会生物学环境。然后引入逐步的线性回归模型和大地测量器，以识别时空驱动因子和农田使用可持续性的机制。结果揭示了以下内容。 （1）从2003年到2017年，农田使用可持续性在时间上呈现出反向S形波动的下降趋势，可持续性状况从弱的不可持续性转变为2008年的转折点。聚集效应。东方可持续性地位的空间分布高于西方的空间分布。 （2）农田使用可持续性的因素，包括农田地区，农作物的播种区域，农药消费，城市化率，城市影响力和径流深度互动构成了多维驾驶机制。 （3）整个省边界的16个城市可以分为三个区域，即密集利用区，保护优先区和生态恢复区，具有针对性和分化的开发路径。这些发现可以简单地理解和可视化农田使用可持续性和决策的状态和趋势。 （c）2020 Elsevier Ltd.保留所有权利。
Cropland and its production toward sustainable pattern play an indispensable role in supporting a virtuous circle of economy-society-ecology and achieving the Sustainable Development Goals. Taking Cheng-Yu Urban Agglomeration, China as a study area, this study developed an evaluation framework to conceptualize cropland use into the economy-society-ecology context with an improved Ecological Footprint analysis and triangle model. Stepwise linear regression model and GeoDetector were then introduced to identify the spatiotemporal driving factors and mechanism of cropland use sustainability. Results reveal the following. (1) From 2003 to 2017, cropland use sustainability temporally presents a downward trend of inverse S-shape fluctuation with sustainability status transitioning from weak unsustainability to strong unsustainability at the turning point in 2008. Cropland use sustainability spatially presents the spatial correlation with a significant agglomeration effect. The spatial distribution of sustainability status in the east is higher than that in the west. (2) Factors of cropland use sustainability, including cropland areas, sown area of farm crops, pesticides consumption, urbanization rate, city impacteforce and runoff depth interactionally form the multi-dimensional driving mechanism. (3) Sixteen cities across the province boundaries can be grouped into three zones, namely, intensive utilization zone, protection priority zone and ecological restoration zone with the targeted and differentiated development paths accordingly. These findings can contribute to simply understanding and visualizing the status and trends of cropland use sustainability and decision-making for national-level urban agglomeration construction. (c) 2020 Elsevier Ltd. All rights reserved.