Tracking Spatio-Temporal Dynamics of Greenhouse-Led Cultivated Land and its Drivers in Shandong Province, China
文献类型:期刊论文
作者 | Ou, Cong; Wang, Yongsheng |
刊名 | FRONTIERS IN ENVIRONMENTAL SCIENCE
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出版日期 | 2022-07-12 |
卷号 | 10页码:12 |
关键词 | greenhouse-led cultivated land spatiotemporal dynamics driving factors long-term period provincial scale |
DOI | 10.3389/fenvs.2022.944422 |
通讯作者 | Wang, Yongsheng(wangys@igsnrr.ac.cn) |
英文摘要 | Rapid urbanization and economic development have led the diversified food production and consumption. In this context, as a highly efficient and intensive cultivated land use form, Greenhouse-led cultivated land (GCL) has continuously increased in recent decades worldwide. Previously works have documented the irrational expansion of GCL in challenging the ecological environment and sustainable agricultural development. However, these studies either have been short-term and point-based studies or have not revealed the long-term causes, process and patterns in a large-scale. In this study, long-term annual remote sensing-based and statistical data were used to investigate the spatiotemporal dynamics of GCL and its drivers in Shandong province, China from 1989 to 2018. The results showed that: 1) GCL in Shandong was toward continuous clustering dominated by medium-low and medium densities, showing the same trend as the increase of its total area; 2) GCL with a cumulative duration of more than 15 years and a demolition frequency of less than 0.2 were mainly distributed in the industrial clustering regions and roughly formed a circular expansion pattern around the central mountainous area with the most expansion period appeared in the mid-2010's; 3) Budget expenditure for rural development, local retail sales and average earnings of local farmers were the most important local driving factors of the GCL expansion in Shandong. 4) The competition of external vegetable supply and the consumption demand from Beijing were the main external driving forces of the expansion of GCL in Shandong. These findings can enhance the comprehensive understanding of typical component of "Human-Nature" interaction and support the sustainable development of regional agriculture. |
WOS关键词 | OBJECT-BASED CLASSIFICATION ; PLASTIC GREENHOUSE ; SENTINEL-2 MSI ; PERFORMANCE ; QINGZHOU ; IMAGERY ; ROAD |
资助项目 | Key Program of the National Natural Science Foundation of China[41931293] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000831787500001 |
出版者 | FRONTIERS MEDIA SA |
资助机构 | Key Program of the National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/181143] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wang, Yongsheng |
作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Ou, Cong,Wang, Yongsheng. Tracking Spatio-Temporal Dynamics of Greenhouse-Led Cultivated Land and its Drivers in Shandong Province, China[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,2022,10:12. |
APA | Ou, Cong,&Wang, Yongsheng.(2022).Tracking Spatio-Temporal Dynamics of Greenhouse-Led Cultivated Land and its Drivers in Shandong Province, China.FRONTIERS IN ENVIRONMENTAL SCIENCE,10,12. |
MLA | Ou, Cong,et al."Tracking Spatio-Temporal Dynamics of Greenhouse-Led Cultivated Land and its Drivers in Shandong Province, China".FRONTIERS IN ENVIRONMENTAL SCIENCE 10(2022):12. |
入库方式: OAI收割
来源:地理科学与资源研究所
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