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遥感技术与应用  2019, Vol. 34 Issue (5): 1064-1072    DOI: 10.11873/j.issn.1004-0323.2019.5.1064
遥感应用     
1990~2015年吉林省西部耕地变化与“旱改水”时空特征研究
任永星1,2(),李晓燕1(),王宗明2,杨黎敏1
1.吉林大学地球科学学院,吉林 长春 130061
2.中国科学院湿地生态与环境重点实验室,中国科学院东北地理与农业生态研究所,吉林 长春 130102
Changes of Croplands and Conversions from Dry Farmland to Paddy Field in Western Jilin Province during 1990~2015
Yongxing Ren1,2(),Xiaoyan Li1(),Zongming Wang2,Limin Yang1
1.College of Earth Sciences,Jilin University,Changchun 130061,China
2.Key Laboratory of Wetland Ecology and Environment,Northeast Institute of Geography and Agricultural Ecology,Chinese Academy of Sciences,Changchun,130012,China
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摘要:

以Landsat遥感影像为数据源,利用面向对象和决策树方法获得多期土地覆被数据;以此为基础,分析了1990~2015年吉林省西部耕地变化与旱田水田转化特征及驱动因素。结果表明:1990~2015年期间,吉林省西部耕地面积增加了2159.33 km2,增速逐渐变缓。旱田面积在1990~2000和2000~2010年期间有小幅增加,但在2010~2015年期间呈减少趋势。水田面积持续扩张,25年间增加了1139.39 km2(51.7%),旱田净转化为水田的面积不断增加,1990~2000年为69.13 km2,2000~2010年为156.19 km2,2010~2015年为288.27 km2。人口和经济的增长是导致耕地面积迅速增长的主要原因,影响水田面积扩张和旱田向水田转化的驱动因素有:科技进步、水利设施建设、政策倾向和利益驱动。最后提出了吉林省西部地区耕地保护的建议,为区域农业生产和生态建设提供科学借鉴。

关键词: 耕地面积旱田水田转化驱动因素遥感吉林省西部    
Abstract:

Studying the changes of croplands in the western Jilin Province and the transformation process of paddy field in dry farmland are of great significance to the rational utilization of regional natural resources. Using remote sensing imagery as a data source, this paper uses a combination of object-oriented and decision trees to obtain information on land use. This study analysis the characteristic changes of cropland and paddy land and dry farmland and driving factors. The results show that: during the period from 1990 to 2015, the area of croplands in the western Jilin Province has increased by 2 157.33 km2, and the growth rate has gradually slowed down. The area of dry farmland has increased slightly during 1990~2000 and 2000~2010. However, there was a decreasing trend during 2010~2015. The area of paddy field has continued to expand, which has increased by 1 139.39 km2(51.7%)in 25 years. The area of the net conversion of dry farmland into paddy field is continuously increasing. It was 69.13 km2 during 1990~2000, 156.19 km2 during 2000~2010, and 288.27 km2 during 2010~2015. Population and economic growth are the main reasons for the rapid growth of croplands. The driving factors that affect the expansion of paddy field and the conversion of dry farmland to paddy field are: scientific and technological progress, construction of water conservancy facilities, policy orientation and interest-driven. This paper puts forward suggestions for the protection of croplands in the western part of Jilin Province, and provides scientific reference for regional agricultural production and ecological construction.

Key words: Cultivated area    Dry field paddy field conversion    Driving factors    Remote sensing    Western Jilin Province
收稿日期: 2018-08-25 出版日期: 2019-12-05
ZTFLH:  S282  
基金资助: 中国科学院野外站联盟项目(KFJ-SW-YW026);中国科学院科技服务网络计划(STS计划)项目(KFJ-STS-ZDTP-009)
通讯作者: 李晓燕     E-mail: 15271915264@163.com;lxyan@jlu.edu.cn
作者简介: 任永星(1995- ),男,河南新乡人,硕士研究生,主要从事资源遥感与土地信息系统研究。Email:15271915264@163.com
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引用本文:

任永星,李晓燕,王宗明,杨黎敏. 1990~2015年吉林省西部耕地变化与“旱改水”时空特征研究[J]. 遥感技术与应用, 2019, 34(5): 1064-1072.

Yongxing Ren,Xiaoyan Li,Zongming Wang,Limin Yang. Changes of Croplands and Conversions from Dry Farmland to Paddy Field in Western Jilin Province during 1990~2015. Remote Sensing Technology and Application, 2019, 34(5): 1064-1072.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2019.5.1064        http://www.rsta.ac.cn/CN/Y2019/V34/I5/1064

图1  研究区位置图
图2  1990~2015年吉林省西部耕地空间分布图
类型面积/km2变化面积(km2)/变化速度(km2/a)
1990年2000年2010年2015年1990~2000年2000~2010年2010~2015年
耕地28191.4829493.4030245.9930350.811301.92130.19754.7375.47104.8220.96
旱田25988.0326910.5327387.4327007.97922.5192.25479.0547.91-379.46-75.84
水田2203.462582.872858.563342.85379.4137.94275.6927.57484.2996.86
表1  1990~2015年吉林省西部耕地面积变化
类型1990~2000年/km22000~2010年/km22010~2015年/km2
耕地水田旱地耕地水田旱地耕地水田旱地
减少耕地总计30.40<0.0130.40219.0815.72203.36402.5328.30374.22
林地→耕地<0.01<0.01<0.012.10<0.012.1038.784.1934.59
草地→耕地784.0940.88743.20177.1528.30148.85201.26110.0791.20
人工表面→耕地<0.01<0.01<0.0117.82<0.0117.8218.874.1914.68
湿地→耕地545.09268.35276.74691.84100.63591.21179.2553.46125.79
裸土地→耕地3.141.052.1084.916.2978.6269.1852.4116.77
新增耕地总计1332.32310.281022.04973.82135.22838.59507.35224.32283.03
耕地→林地4.19<0.014.1935.643.1432.5055.5610.4845.07
耕地→草地<0.01<0.01<0.0118.87<0.0118.8752.412.1050.32
耕地→人工表面23.06<0.0123.0698.538.3990.1562.896.2956.61
耕地→湿地3.14<0.013.1457.654.1953.46206.507.34199.17
耕地→裸土地<0.01<0.01<0.018.39<0.018.3925.162.1023.06
表2  1990~2015年吉林省西部耕地面积与其它土地覆被类型相互转化量
图3  1990~2015年吉林省西部旱田净转化贡献
图4  1990~2015年吉林省西部水田净转化贡献
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