Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.scitotenv.2018.11.172 |
Mapping and evaluating cultivated land fallow in Southwest China using multisource data | |
Shi, Kaifang1,2; Yang, Qingyuan2,3; Li, Yuanqing2,3; Sun, Xiufeng4 | |
通讯作者 | Yang, Qingyuan |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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ISSN | 0048-9697 |
EISSN | 1879-1026 |
出版年 | 2019 |
卷号 | 654页码:987-999 |
英文摘要 | Accurately and effectively mapping and evaluating cultivated land fallow has already become an important issue that has received much attention in China. However, systematically analysing regional cultivated land fallow remains inadequate because current studies have mainly focused on quantifying cultivated land fallow using statistical data based on administrative units or a single aspect of cultivated land fallow using high or medium spatial resolution images at the local or regional scales. Against the existing shortcomings, this study first developed an integrated index of cultivated land fallow (ILF) for mapping and evaluating cultivated land fallow in Southwest China using multisource spatial data. The performance of the ILF was validated by comparing its results with Google Earth images and ecological carrying capacity of cultivated land (TEC). And the spatial distribution of cultivated land fallow in Southwest China was evaluated at the regional, provincial and metropolitan scales. The results revealed that the ILF provided a reliable evaluation of cultivated land fallow in Southwest China. Compared to the Google earth images, the pixel with the high ILF value was the cultivated land that was found to prioritize fallow. There was also a significant correlation between ILF and TEC at the prefectural level in Sichuan, with an R-2 value >0.65. In Southwest China, the cultivated land related to highly appropriate fallow (HAF) accounted for 5.73% of the total cultivated land in 2010. The cultivated land related to inappropriate fallow (IF) accounted for 53.26% and 37.36% in Sichuan and Chongqing but only comprised 22.90% and 19.72% in Yunnan and Guizhou, respectively. Special attention needs to be paid to Guiyang and Kunming, where the HAF made up 25.38% and 17.48% of their total cultivated land, respectively. Human activities have been found to already become the most important impact factors for cultivated land fallow in Southwest China. This study is especially valuable for providing a scientific basis for policy-making on viable cultivated land fallow policy in Southwest China. (C) 2018 Elsevier B.V. All rights reserved. |
英文关键词 | Cultivated land fallow Spatial distribution Multisource data Multiple scale analysis Southwest China |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000458630100090 |
WOS关键词 | KARST ROCKY DESERTIFICATION ; URBAN EXPANSION ; CROPLAND ABANDONMENT ; LIGHT DATA ; DYNAMICS ; PRODUCTIVITY ; PROGRAM ; IMPACT ; RECULTIVATION ; CONSUMPTION |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/218635 |
作者单位 | 1.Southwest Univ, Sch Geog Sci, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, 2 Tiansheng Rd, Chongqing 400715, Peoples R China; 2.Southwest Univ, Sch Geog Sci, Minist Nat Resources, Res Base Karst Ecoenvironm Nanchuan Chongqing, 2 Tiansheng Rd, Chongqing 400715, Peoples R China; 3.Southwest Univ, Sch Geog Sci, Chongqing Key Lab Karst Environm, Chongqing 400715, Peoples R China; 4.Southwest Univ, Coll Hort & Landscape Architecture, 2 Tiansheng Rd, Chongqing 400715, Peoples R China |
推荐引用方式 GB/T 7714 | Shi, Kaifang,Yang, Qingyuan,Li, Yuanqing,et al. Mapping and evaluating cultivated land fallow in Southwest China using multisource data[J],2019,654:987-999. |
APA | Shi, Kaifang,Yang, Qingyuan,Li, Yuanqing,&Sun, Xiufeng.(2019).Mapping and evaluating cultivated land fallow in Southwest China using multisource data.SCIENCE OF THE TOTAL ENVIRONMENT,654,987-999. |
MLA | Shi, Kaifang,et al."Mapping and evaluating cultivated land fallow in Southwest China using multisource data".SCIENCE OF THE TOTAL ENVIRONMENT 654(2019):987-999. |
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