近20年中国耕地复种指数的时空变化

doi:10.11821/xb200504004

地理学报 ›› 2005, Vol. 60 ›› Issue (4): 559-566.doi: 10.11821/xb200504004

近20年中国耕地复种指数的时空变化

闫慧敏^1,2, 刘纪远¹, 曹明奎¹

1. 中国科学院地理科学与资源研究所,北京 100101;
2. 中国科学院研究生院,北京 100039

收稿日期:2004-12-30 修回日期:2005-03-29 出版日期:2005-07-25 发布日期:2005-07-25
作者简介:闫慧敏 (1974-), 女, 博士生, 主要从事土地利用变化及其生态环境效应研究。 E-mail: yanhm@lreis.ac.cn
基金资助:
国家重点基础研究发展规划项目 (2002CB412507); 国家自然科学基金重点项目 (90202002)

Remotely Sensed Multiple Cropping Index Variations in China during 1981-2000

YAN Huimin^1,2, LIU Jiyuan¹, CAO Mingkui¹

1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China

Received:2004-12-30 Revised:2005-03-29 Online:2005-07-25 Published:2005-07-25
Supported by:
National Basic Research Program of China, No.2002CB412507; National Natural Science Foundation of China, No.90202002

摘要/Abstract

摘要：

多熟种植是中国重要的种植制度,对保障国家食物安全和促进农村经济发展有十分重要的意义。复种指数受自然条件和农村社会状况的影响处于不断变化之中,及时获取其变化信息是国家食物安全评估和农业发展科学决策的基础。近年来对食物安全的研究集中于耕地面积变化的影响,对复种指数变化及其影响的研究较少。作物种植面积和复种指数变化的估计一直以行政区划为单元的统计数据为基础,但获得这些数据费时费力,时效性和可靠性都比较差,更缺乏准确的空间和时间变化信息。卫星遥感是探测大尺度土地覆被格局实时变化的最有效手段,因此可以作为获取全国和区域尺度作物复种指数变化信息的重要途径。作者应用多时相NOAA/AVHRR遥感观测数据和峰值特征点检测法提取全国尺度的复种指数,并分析其从20世纪80年代初到90年代末的变化。结果表明全国复种指数整体增加,但在珠江三角洲、长江中下游、四川盆地丘陵山地以及山东丘陵等地区有所降低。复种指数下降的耕地占全国总面积15%左右。在四川盆地和黄淮海区,复种指数在平原地区有所增加或保持稳定,下降多发生在丘陵山地,但在长江中下游和华南精耕细作地区出现复种指数降低的趋势。

关键词: 遥感观测, 种植制度, 复种指数, 时空变化, 中国

Abstract:

Multiple cropping system is essential to Chinese agriculture, which can significantly increase grain yield and promote agricultural economic development. Multiple Cropping Index is fluctuating year by year due to the changing natural conditions and rural social status, so, it is very important to get the change information in time for food security assessment and scientific decision on agricultural development and planning. The discussions about food security in recent years mostly focused on the peril caused by decreased cropland area, whereas neglected the loss of actual sown area due to Multiple Cropping Index decrease. As the only data source for sown area or MCI change assessment on national scale, statistical data not only is time-lagged and poor in creditability but also lack spatially explicit description. In this study, we extract multiple cropping information from 8 km 10-day composite AVHRR/NDVI time series images according to the phenological metrics and farmland practice temporal features, and then analyze MCI changes from the 1980s to the 1990s. This study shows that China's MCI increase as a whole, but 15% of cropland area has suffered MCI decrease that is mainly distributed in the Zhujiang River Delta in South China, the middle and lower reaches of the Yangtze River, hilly area of Sichuan Basin and Shandong hilly area of Huang-Huai-Hai region. In the Sichuan Basin and the Huang-Huai-Hai region, the MCI decreased croplands are mostly distributed in hilly area, while MCI of cropland in plain area increase or keep stable.

Key words: remote sensing, cropping system, Multiple Cropping Index, China

闫慧敏, 刘纪远, 曹明奎. 近20年中国耕地复种指数的时空变化[J]. 地理学报, 2005, 60(4): 559-566.

YAN Huimin, LIU Jiyuan, CAO Mingkui. Remotely Sensed Multiple Cropping Index Variations in China during 1981-2000[J]. Acta Geographica Sinica, 2005, 60(4): 559-566.

参考文献

[1] Guo Bailin. The analysis for the change of multiple cropping index in China. Economic Geography, 1997, 17(3): 8-13.
[郭柏林. 我国复种指数变化特征、效益和潜力. 经济地理, 1997, 17(3): 8-13.]

[2] Yang Jinshen, Sun Limin. The transition of cropping system in Hebei Province. Acta Agriculture Boreali-Sinica, 2000, 15(4): 126-130.
[杨金深, 孙丽敏. 河北省1949~1998 年种植制度演变分析. 华北农学报, 2000, 15(4): 126-130.]

[3] Qiu J, Tang H, Frolking Steve. Mapping single-, double-, and triple-crop agriculture in China at 0.5×0.5^o by combining county-scale census data with a remote sensing-derived land cover map. Geocarto International, 2003, 18(2): 3-13.

[4] Xie Binggeng, Li Xiaoqing. Rural land use condition and countermeasure in Hunan Province. Economic Geography, 2001, 21(6): 723-726.
[谢炳庚, 李晓青. 湖南农村土地利用现状及对策初探. 经济地理, 2001, 21(6): 723-726.]

[5] Shi Juntong, Liu Mengjun, Li Jun. Multi-cropping and sustainable development in grain production of China. Agricultural Research in the Arid Areas, 1998, 16(1): 51-57.
[史俊通, 刘孟君, 李军. 论复种与我国粮食生产的可持续发展. 干旱地区农业研究, 1998, 16(1): 51-57.]

[6] Brown L R, Who Will Feed China? Wake-Up Call for a Small Planet. New York: Norton, 1995.

[7] Fu Zeqiang, Cai Yunlong, Yang Youxiao et al. Research on the relationship of cultivated land change and food security in China. Journal of Natural Resources, 2001, 16(4): 313-319.
[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, 自然资源学报, 2001, 16(4): 313-319.]

[8] Yang H, Li X. Cultivated land and food supply in China. Land Use Policy, 2000, 17(2): 73-88.

[9] Reed B C, Brown J F, Vanderzee D et al. Measuring phenological variability from satellite imagery. Journal of Vegetation Science, 1994, 5(5): 703-714.

[10] DeFries R, Hansen M, Townshend J. Global discrimination of land cover types from metrics derived from AVHRR pathfinder data. Remote Sensing of Environment, 1995, 54: 209-222.

[11] Duchemin B, Goubier J, Courrier G. Monitoring phenological key stages and cycle duration of temperate deciduous forest ecosystems with NOAA/AVHRR data. Remote Sensing of Environment, 1999, 67(1): 68-82.

[12] Lee R, Yu F, Price K P et al. Evaluating vegetation phenological patterns in Inner Mongolia using NDVI time-series analysis. International Journal of Remote Sensing, 2002, 23(12): 2505-2512.

[13] Xin J, Yu Zh, Leeuwen L et al. Mapping crop key phenological stages in the North China Plain using NOAA time series images. International Journal of Applied Earth Observation and Geoinformation, 2002, 4: 109-117.

[14] Liu Jiyuan, Zhang Zengxiang, Zhuang Dafang et al. A study on the spatial-temporal synamic changes of land-use and driving forces analyses of China in the 1990s. Geographical Research, 2003, 22(1): 1-12.
[刘纪远, 张增祥, 庄大方等. 20世纪90年代中国土地利用变化时空特征及其成因分析. 地理研究, 2003, 22(1): 1-12.]

[15] Liu Jiyuan, Liu Mingliang, Zhuang Dafang et al. Study on spatial pattern of land-use change in China during 1995-2000. Science in China (Series D), 2003, 46(4): 373-384.

[16] Azzali S, Menenti M. Mapping vegetation-soil-climate complexes in Southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data. International Journal of Remote Sensing, 2000, 21(5): 973-996.

[17] Roerink G J, Menenti M. Reconstructing Cloudfree NDVI composites using Fourier analysis of time series. International Journal of Remote Sensing, 2000, 21(9): 1911-1917.

[18] Yan Huimin, Cao Mingkui, Liu Jiyuan et al. Detecting spatial patterns of crop rotation system from multi-temporal remote sensing images. Transactions of the Chinese Society of Agricultural Engineering, 2005, 21(4): 85-90.
[闫慧敏, 曹明奎, 刘纪远等. 基于多时相遥感信息的中国作物种植制度空间格局研究. 农业工程学报, 2005, 21(4): 85-90.]

[19] Wang T. Land use and sandy desertification in the North China. Journal of Desert Research, 2000, 20(2): 103-107.

[20] Liu Xinhua, Yang Qinke, Tang Guoan. Extraction and application of relief of China based on DEM and GIS method. Bulletin of Soil and Water Conservation, 2001, 21(1): 57-60.
[刘新华, 杨勤科, 汤国安. 中国地形起伏度的提取及在水土流失定量评价中的应用. 水土保持通报, 2001, 21(1): 57-60.]

近20年中国耕地复种指数的时空变化

Remotely Sensed Multiple Cropping Index Variations in China during 1981-2000

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

[1]	古恒宇, 沈体雁. 中国高学历人才的空间演化特征及驱动因素[J]. 地理学报, 2021, 76(2): 326-340.
[2]	朱晟君, 金文纨. 地方出口产品结构及制度环境与企业出口相关多样化[J]. 地理学报, 2021, 76(2): 398-414.
[3]	李钢, 薛淑艳, 马雪瑶, 周俊俊, 徐婷婷, 王皎贝. 中国失踪人口的时空格局演变与形成机制[J]. 地理学报, 2021, 76(2): 310-325.
[4]	葛全胜, 朱会义. 两千年来中国自然与人文地理环境变迁及启示[J]. 地理学报, 2021, 76(1): 3-14.
[5]	张兴航, 张百平, 王晶, 余付勤, 赵超, 姚永慧. 中国南北过渡带东段样带植被序列与气候分界问题[J]. 地理学报, 2021, 76(1): 30-43.
[6]	李哲, 丁永建, 陈艾姣, 张智华, 张世强. 1960—2019年西北地区气候变化中的Hiatus现象及特征[J]. 地理学报, 2020, 75(9): 1845-1859.
[7]	郭泽呈, 魏伟, 石培基, 周亮, 王旭峰, 李振亚, 庞素菲, 颉斌斌. 中国西北干旱区土地沙漠化敏感性时空格局[J]. 地理学报, 2020, 75(9): 1948-1965.
[8]	敖荣军, 常亮. 基于结构方程模型的中国县域人口老龄化影响机制[J]. 地理学报, 2020, 75(8): 1572-1584.
[9]	宋周莺, 祝巧玲. 中国边境地区的城镇化格局及其驱动力[J]. 地理学报, 2020, 75(8): 1603-1616.
[10]	马春玥, 买买提·沙吾提, 姚杰, 古丽努尔·依沙克. 1950—2015年中国棉花生产时空动态变化[J]. 地理学报, 2020, 75(8): 1699-1710.
[11]	郑景云, 张学珍, 刘洋, 郝志新. 过去千年中国不同区域干湿的多尺度变化特征评估[J]. 地理学报, 2020, 75(7): 1432-1450.
[12]	陶泽兴, 葛全胜, 王焕炯. 1963—2018年中国垂柳和榆树开花始期积温需求的时空变化[J]. 地理学报, 2020, 75(7): 1451-1464.
[13]	瞿诗进, 胡守庚, 李全峰. 中国城市建设用地转型阶段及其空间格局[J]. 地理学报, 2020, 75(7): 1539-1553.
[14]	葛全胜, 方创琳, 江东. 美丽中国建设的地理学使命与人地系统耦合路径[J]. 地理学报, 2020, 75(6): 1109-1119.
[15]	魏素豪, 李晶, 李泽怡, 宗刚. 中国农业竞争力时空格局演化及其影响因素[J]. 地理学报, 2020, 75(6): 1287-1300.