Please wait a minute...
img

官方微信

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
 全文: PDF(2947 KB)   HTML
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
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
任永星
李晓燕
王宗明
杨黎敏

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
1 Turner B L, Lambin E F, Reenberg A. The Emergence of Land Change Science for Global Environmental Change and Sustainability [J]. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104(52):20666-20671.
2 Fu Zeqiang, Cai Yunlong, Yang Youxiao, et al. Research on the Relationship of Cultivated Land Change and Food Security in China [J],Journal of Natural Resources, 2016, 16(4):313-318.傅泽强, 蔡运龙, 杨友孝,等. 中国粮食安全与耕地资源变化的相关分析[J]. 自然资源学报, 2016, 16(4):313-318.
3 Liu Luo, Xu Xinliang, Liu Jiyuan, et al. Impact of Farmland Changes on Production Potential in China during Recent Two Decades [J]. Acta Geographica Sintca,2014, 69(12):1767-1778.刘洛, 徐新良, 刘纪远,等. 1990~2000年中国耕地变化对粮食生产潜力的影响[J]. 地理学报,2014, 69(12):1767-1778.
4 National Development and Reform Commission. National new 100 billion kg grain production capacity planning (2009-2020) [DB/OL]. http://zfxxgk.ndrc.gov.cn/web/iteminfo.jsp?id=256, 2009.
4 中华人民共和国国家发展和改革委员会. 全国新增1000亿斤粮食生产能力规划(2009-2020年)[DB/OL], http://zfxxgk.ndrc.gov.cn/web/iteminfo.jsp?id=256, 2009
5 Gao Tongbiao, Liu Yunda. Capacity Factor Analysis for Sustainable Arable Land in Jilin Province [J]. Journal of Northeast Normal University (Philosophy and Social Sciences), 2012(6):57-60.高同彪, 刘云达. 吉林省可持续耕地产能的要素分析[J]. 东北师大学报(哲学社会科学版), 2012(6):57-60.
6 Nie Ying. Land Development and Consolidation of Jilin Province in the Western Region Area Effect and Comprehensive Benefit Evaluation [D]. Changchun: Jilin Agricultural University,2015.聂英. 吉林省西部地区土地开发整理区域效应及其综合效益评价[D].长春:吉林农业大学, 2015.
7 Man Weidong, Wang Zongming, Liu Mingyue, et al. Spatio-temporal Dynamics Analysis of Cropland in Northeast China during 1990~2013 Based on Remote sensing [J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(7):1-10.满卫东, 王宗明, 刘明月,等. 1990~2013年东北地区耕地时空变化遥感分析[J]. 农业工程学报, 2016, 32(7):1-10.
8 Zhao Xiaoli, Zhang Zengxiang, Wang Xiao, et al. Analysis of Chinese Cultivated Land′s Spatial-temporal Changes and Causes in Recent 30 Years [J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(3):1-11.赵晓丽, 张增祥, 汪潇,等. 中国近30a耕地变化时空特征及其主要原因分析[J]. 农业工程学报, 2014, 30(3):1-11.
9 Cai Yunlong, Wang Yong, Li Yuping. Study on Changing Relationship of Demand and Supply of Cultivated Land in China [J]. China Land Science, 2009, 23(3):11-18, 31.蔡运龙, 汪涌, 李玉平. 中国耕地供需变化规律研究[J].中国土地科学,2009,23(3):11-18, 31.
10 Xu Yueqing, Tian Yuan, Sun Piling. Study on Driving Forces and Spatial Simulation of Land Use Change in Zhangjiakou City based on Logistic Regression Model [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2015, 51(5):955-964.许月卿, 田媛, 孙丕苓. 基于Logistic回归模型的张家口市土地利用变化驱动力及建设用地增加空间模拟研究[J]. 北京大学学报(自然科学版), 2015, 51(5):955-964.
11 Wang G G, Liu Y S, Li Y R, et al. Dynamic Trends and Driving Forces of Land Use Intensification of Croplands in China [J]. Journal of Geographical Sciences, 2015, 25(1):45-57.
12 An Xiangsheng, Xu Yong, Tang Qing. Spatial Differentiation of Arable Cultivated Land in China [J]. Geography and Geo-Information Science, 2011, 27(3): 54-57.安祥生, 徐勇, 汤青. 中国适垦耕地空间分异特征研究[J]. 地理与地理信息科学, 2011, 27(3): 54-57.
13 He J H, Liu Y L, Yu Y, et al. A Counterfactual Scenario Simulation Approach for Assessing the Impact of Farmland Preservation Policies on Urban Sprawl and Food Security in a Major Grain-producing Area of China [J].Applied Geography, 2013, 37: 127-138.
14 Liu J Y, Liu M L, Tian H Q, et al. Spatial and Temporal Patterns of China's Cropland during 1990-2000: An analysis based on Landsat TM Data[J]. Remote Sensing of Environment, 2005, 98(4):442-456.
15 Liu Jiyuan, Ning Jia, Kuang Wenhui, et al. Spatio-temporal Patterns and Characteristics of Land-use Change in China during 2010-2015[J]. Acta Geographica Sinlca, 2018, 73(5):789-802.刘纪远, 宁佳, 匡文慧,等. 2010~2015年中国土地利用变化的时空格局与新特征[J]. 地理学报, 2018, 73(5):789-802.
16 Ji Yongzan, Yan Huimin, Liu Jiyuan, et al. A MODIS Data Derived Spatial Distribution of High-, Medium- and Low-yield Cropland in China [J]. Acta Geographica Sintca, 2015, 70(5):765-778.冀咏赞, 闫慧敏, 刘纪远,等. 基于MODIS数据的中国耕地高中低产田空间分布格局[J]. 地理学报, 2015, 70(5):765-778.
17 Huang Yingbing, Zhuotong Nan, Xu Qiheng, et.al. Characteristics and Driving Forces of the Arable Land Loss in Dongguan [J].World Regional Studies, 2017, 26(5):44-55.黄滢冰, 南卓铜, 徐启恒,等. 珠三角典型地区耕地流失特征及机制分析[J]. 世界地理研究, 2017, 26(5):44-55.
18 Ouyang Ling, Wang Zongming, Jia Mingming, et.al. Spatial Pattern Analysis on Quantity and Quality of Cultivated Land in Mid-west Jilin Province based on Remote Sensing [J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(13):234-242.欧阳玲, 王宗明, 贾明明,等. 基于遥感的吉林省中西部耕地数量和质量空间格局变化分析[J]. 农业工程学报, 2016, 32(13):234-242.
19 Li Yuping, Cai Yunlong. Analysis and Prediction of Cropland Change and Grain Security in Zhejiang Province [J]. Resources and Environment in the Yangtze Basin, 2007, 16(4):466-470.李玉平, 蔡运龙. 浙江省耕地变化与粮食安全的分析及预测[J]. 长江流域资源与环境, 2007, 16(4):466-470.
20 Dang Guofeng, Shang Wen, Hong Yuan. The Characters of Cropland Change and Its Influence on Grain Security in Gansu Province [J]. Journal of Arid Land Resources and Environment. 2010, 24(2):44-49.党国锋, 尚雯, 洪媛. 甘肃省耕地数量变化特征及其对粮食安全的影响[J]. 干旱区资源与环境. 2010, 24(2):44-49.
21 Zhang Hui, Wang Yang. Spatial Differentiation of Cropland Pressure and its Socio-economic Factors in China based on Panel Data of 342 Prefectural-level Units [J]. Geographical Research, 2017,36(4):731-742.张慧, 王洋. 中国耕地压力的空间分异及社会经济因素影响——基于342个地级行政区的面板数据[J]. 地理研究, 2017,36(4):731-742.
22 Huang Ni,Liu Dianwei,Wang Zongming, et.al. Study on Mutual Transformation Characteristics between Paddy Field and DryLand in Sanjiang Plain from 1986 to 2005[J]. Resources Science, 2009, 31(2):324-329.黄妮, 刘殿伟, 王宗明,等. 1986年~2005年三江平原水田与旱地的转化特征[J]. 资源科学, 2009, 31(2):324-329.
23 Ma Suting, Tang Jie, Lin Nianfeng, et al. Synthetic Assessment of Eco-environment in the Western Jilin Province based on Multi-sources GIS and RS Spatial Information [J]. Resources Science, 2004, 26(4):140-145.麻素挺,汤洁, 林年丰. 基于GIS与RS多源空间信息的吉林西部生态环境综合评价[J]. 资源科学, 2004,26(4):140-145.
24 Zhang Lei,Wu Bingfang,Li Xiaosong, et al. Classification System of China Land Cover for Carbon Budget[J]. Acta Ecologica Sinica,2014,34(24) : 7158-7166.
24 张磊, 吴炳方, 李晓松,等. 基于碳收支的中国土地覆被分类系统[J]. 生态学报, 2014, 34(24): 7158-7166.
25 Ouyang Zhiyun,Zhang Lu,Wu Bingfang, et al.An Ecosystem Classification System based on Remote Sensor Information in China[J].Acta Ecologica Sinica,2015,35( 2) : 219-226.
25 欧阳志云, 张路, 吴炳方,等. 基于遥感技术的全国生态系统分类体系[J]. 生态学报, 2015, 35(2): 219-226.
26 Bie Qiang, He Lei, Zhao Chuanyan. Study on Vegetation Information Extraction based on Object-oriented Image Analysis [J]. Remote Sensing Technology and Application, 2014, 29(1):164-171.别强, 何磊, 赵传燕. 基于影像融合和面向对象技术的植被信息提取研究[J]. 遥感技术与应用, 2014,29(1):164-171.
27 Man Weidong, Li Chunjing, Wang Zongming, et al. Study on Dynamic of Wetlands Landscape in the Trans-boundary Regions between China and Russia of Ussri River Watershed Based on Object-oriented Classification Method [J]. Remote Sensing Technology and Application, 2016, 31(2): 378-387.满卫东, 李春景, 王宗明.等. 基于面向对象分类方法的乌苏里江流域中俄跨境区域湿地景观动态研究[J]. 遥感技术与应用. 2016, 31(2):378-387.
28 Liu Rui, Zhu Daolin. Methods for Detecting Land Use Changes based on the Land Use Transition Matrix [J]. Resources Science, 2010, 32(8):1544-1550.刘瑞, 朱道林. 基于转移矩阵的土地利用变化信息挖掘方法探讨[J]. 资源科学, 2010, 32(8):1544-1550.
29 Zhao Xiaoli, Zhang Zengxiang, Wang Xiao, et al. Analysis of Chinese Cultivated Land′s Spatial-temporal Changes and Causes in Recent 30 Years [J]. Transactions of the Chinese Society of Agricultural Engineering, 2014,30(3):1-11.赵晓丽, 张增祥,汪潇,等. 中国近30a耕地变化时空特征及其主要原因分析[J].农业工程学报, 2014,30(3):1-11.
30 Yan Huimin, Liu Jiyuan, Huang Heqing, et al. Impacts of Cropland Transformation on Agricultural Production under Urbanization and Grain for Green Project in China [J]. Acta Geographica Sinica, 2012, 67(5):579-588.闫慧敏, 刘纪远, 黄河清,等. 城市化和退耕还林草对中国耕地生产力的影响[J]. 地理学报, 2012, 67(5):579-588.
31 Chen Chuannan. Major Project of Land Development and Consolidation in the Western of Jilin Province: Increasing Half of One Hundred Million Kilogram Grain [J]. China Land, 2008, (8):22-23.陈川南. 吉林省西部土地开发整理重大项目增产百亿斤[J]. 中国土地, 2008(08):22-23
32 Jilin Provincial Bureau of Statistics. Jilin Statistical Yearbook [M]. Beijing: China Statistics Press. 1991-2016. 吉林省统计局. 吉林统计年鉴[M]. 北京: 中国统计出版社, 1991-2016.
33 Long Hualou. Land Use Transition and Land Management [J]. Geographical Research, 2015, 34(9):1607-1618.龙花楼. 论土地利用转型与土地资源管理[J]. 地理研究, 2015, 34(9):1607-1618.
34 Xiang Changyu, Zhou Dongxing, Song Ge, et al. Research on Permissive Conversion Limit of Dryland to Paddy Field in Tong he County Heilongjiang province [J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(13):226-230.向长玉, 周东兴, 宋戈,等. 黑龙江省通河县旱地改水田许可转换度研究[J]. 农业工程学报, 2012, 28(13):226-230.
35 Xiang Yan, Chen Yinjun, Hou Yanlin. Conservation of Land Resource from the Perspective of Increase and Decrease of Cultivated Land in Northeast China [J]. Science & Technology Review,2019,37(12):60-66.向雁, 陈印军, 侯艳林. 基于东北地区耕地增减变化的资源环境保护策略[J].科技导报,2019,37(12):60-66
36 Liang Yuhua. Analysis on the Dynamic Changes of Drought and Flood Disaster and It’s Driving Factors in West of Jilin [J]. Journal of Arid Land Resources and Environment, 2007, 21(6):74-78.梁雨华. 吉林省西部旱涝灾害的动态变化及其驱动力分析[J]. 干旱区资源与环境, 2007, 21(6):74-78.
37 Yu Guoqiang, Du Baojia, Liu Jiping. Ecosystem Vulnerability Assessment of Wetlands in Western Jilin Province from 1986 to 2012[J]. Wetland Science, 2016, 14(3):439-445.于国强, 杜保佳, 刘吉平. 1986-2012 年吉林省西部湿地生态系统脆弱性评价[J]. 湿地科学, 2016, 14(3):439-445.
[1] 余沐瑶,张志,付杨康. 镁铁质―超镁铁质岩全谱段遥感识别模型[J]. 遥感技术与应用, 2019, 34(5): 1016-1027.
[2] 周壮,李盛阳,张康,邵雨阳. 基于CNN和农作物光谱纹理特征进行作物分布制图[J]. 遥感技术与应用, 2019, 34(4): 694-703.
[3] 王颖洁,张荞,张艳梅,蒙印,郭文. 基于深度卷积神经网络的油罐目标检测研究[J]. 遥感技术与应用, 2019, 34(4): 727-735.
[4] 王宇,杨艺,王宝山,王田,卜旭辉,王传云. 深度残差神经网络高分辨率遥感图像建筑物分割[J]. 遥感技术与应用, 2019, 34(4): 736-747.
[5] 刘新杰,魏云霞,焦全军,孙奇,刘良云. 基于时序定量遥感的冬小麦长势监测与估产研究[J]. 遥感技术与应用, 2019, 34(4): 756-765.
[6] 秦振涛,杨茹. 基于结构性字典学习的毛儿盖遥感图像去噪研究[J]. 遥感技术与应用, 2019, 34(4): 793-798.
[7] 夏热帕提·阿不来提null,刘高焕,刘庆生,黄翀. 基于遥感与GIS技术的黄河宁蒙河段洪泛湿地生态环境脆弱性定量评价[J]. 遥感技术与应用, 2019, 34(4): 874-885.
[8] 张志新,徐清俊,张川,赵冬. 基于单景高分四号卫星多光谱影像的舰船运动特征检测[J]. 遥感技术与应用, 2019, 34(4): 892-900.
[9] 丛铭, 段晨曦, 许妙忠, 陶翊婷. 基于格式塔形状分析的高分辨率遥感影像道路提取[J]. 遥感技术与应用, 2019, 34(3): 595-601.
[10] 王思恒, 黄长平, 张立福, 高显连, 付安民. 陆地生态系统碳监测卫星远红波段叶绿素荧光反演算法设计[J]. 遥感技术与应用, 2019, 34(3): 476-487.
[11] 卢静, 贾立, 郑超磊, 胡光成. 遥感水分收支对区域水资源估算潜能[J]. 遥感技术与应用, 2019, 34(3): 630-638.
[12] 林中立, 徐涵秋. 近20年来新旧“火炉城市”热岛状况对比研究[J]. 遥感技术与应用, 2019, 34(3): 521-530.
[13] 丁海宁. 黄土高原土壤铁元素含量遥感反演方法 [J]. 遥感技术与应用, 2019, 34(2): 275-283.
[14] 马鹏飞, 厉青, 陈辉, 张丽娟, 张玉环, 王桥, 周春艳, 毛慧琴, 陈翠红, 王中挺. 京津冀及周边地区大气污染防治重点关注区域遥感综合分析[J]. 遥感技术与应用, 2019, 34(2): 404-411.
[15] 林沂, 周国清, 童庆禧. 偏振激光雷达对地观测遥感 [J]. 遥感技术与应用, 2019, 34(2): 232-242.