中国农田熟制资源地理分布数据

doi:10.11821/dlxb2014S008

地理学报 ›› 2014, Vol. 69 ›› Issue (s1): 49-53.doi: 10.11821/dlxb2014S008

中国农田熟制资源地理分布数据

徐新良¹, 刘洛^{2, 3}

1. 中国科学院地理科学与资源研究所, 北京 100101;
2. 中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;
3. 中国科学院大学, 北京 100049

收稿日期:2014-03-17 修回日期:2014-06-20 出版日期:2014-12-26 发布日期:2020-04-07

Cropping rotation system data of China

GE Quansheng, DAI Junhu, WANG Huanjiong

Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received:2014-03-17 Revised:2014-06-20 Published:2014-12-26 Online:2020-04-07

摘要/Abstract

摘要： 多熟种植是中国农业种植制度的重要特征和提高粮食产量的有效途径。中国农田熟制资源地理分布数据 (CropSysChina) 是基于DEM数据、土壤数据、耕地分布数据以及气象数据,采用由FAO (联合国粮农组织) 和IIASA (国际应用系统研究所) 共同研发的GAEZ模型估算获得的。该数据包括灌溉和雨养两种情景下1960-2010年的逐年代中国农田潜在熟制空间分布数据。该数据有效反映了气候变化背景下中国农田熟制的时空差异,是掌握中国农业生产活动状况、挖掘农业生产潜力、保证农业可持续发展的重要参考数据和基础性数据。

关键词: 中国, 农田, 熟制

Abstract: The gridded dataset of spring phenology of Fraxinus chinensis in China from 1952 to 2007 includes 56 annual files in this time period. This dataset represent the first leaf date of Fraxinus chinensis stored as ARCGIS standard format with a spatial resolution of 1°. This dataset is the result of phenological research in China, and could reflect the spatial-temporal change of spring phenology in China over the past half century. The research article based on this dataset was cited by the fifth IPCC assess report.

Key words: phenology, Fraxinus chinensis, first leaf date, spatio-temporal pattern, climate change

徐新良, 刘洛. 中国农田熟制资源地理分布数据[J]. 地理学报, 2014, 69(s1): 49-53.

GE Quansheng, DAI Junhu, WANG Huanjiong. Cropping rotation system data of China[J]. Acta Geographica Sinica, 2014, 69(s1): 49-53.

参考文献

[1] Liu L, Xu X, Zhuang D et al. Changes in the potential multiple cropping system in response to climate change in China from 1960-2010. PloS One, 2013, 8(12): e80990.
[2] FAO. Guidelines: Land Evaluation for Rain-fed Agriculture. FAO Soils Bulletin, 1984: 52.
[3] FAO. Guidelines: Land Evaluation for Irrigated Agriculture. FAO Soils Bulletin, 1985: 55.
[4] FAO. CROPWAT: A Computer Program for Irrigation Planning and Management. FAO Irrigation and Drainage Paper No.46. Land and Water Development Division, Rome, Italy, 1992.
[5] Fischer G, M Shah, Van Velthuizen H et al. Global agroecological assessment for agriculture in the 21st century: Methodology and results. IIASA RR-02-02, IIASA, Laxenburg, Austria, 2002.
[6] Fischer G, M Shah, Van Velthuizen H. Climate change and agricultural vulnerability. Special Report as Contribution to the World Summit on Sustainable Development, Johannesburg 2002. International Institute for Applied Systems Analysis, Laxenburg, Austria, 2002: 150-152.
[7] FAO. Crop Evapotranspiration.FAO Irrigation and Drainage Paper No. 56 Rome, Italy, 1998.
[8] Monteith J L, 1965. Evapotranspiration and the environment//The State and Movement of Water in Living Organisms, 205-234.
[9] Monteith J L, 1981. Evapotranspiration and surface temperature. Quarterly Journal Royal Meteorological Society, 1981, 107: 1-27.
[10] SRTM-Shuttle Radar Topography Mission, 90 m Digital Elevation Database. http://srtm.usgs.gov/.
[11] 气象数据. 中国国家气象局 (http://cdc.cma. gov.cn). (中国地面气候资料日值数据集、中国地面气候资料月值数据集
[12] 国家地理信息中心. 中华人民共和国国界地理信息系统数据 (1:100万比例尺). 2008.
[1] Liu L, Xu X, Zhuang D et al. Changes in the potential multiple-cropping system in response to climate change in China from 1960-2010. PloS One, 2013, 8(12): e80990.
[2] FAO. Guidelines: Land Evaluation for Rain-fed Agriculture. FAO Soils Bulletin, 1984: 52.
[3] FAO. Guidelines: Land Evaluation for Irrigated Agriculture. FAO Soils Bulletin, 1985: 55.
[4] FAO. CROPWAT: A Computer Program for Irrigation Planning and Management. FAO Irrigation and Drainage Paper No.46. Land and Water Development Division, Rome, Italy, 1992.
[5] Fischer G, Shah M, Van Velthuizen H, Nachtergaele O.Global agroecological assessment for agriculture in the 21st century: Methodology and results. IIASA RR-02-02, IIASA, Laxenburg, Austria, 2002.
[6] Fischer G, Shah M, Van Velthuizen H.Climate Change and Agricultural Vulnerability. Special Report as contribution to the World Summit on Sustainable Development, Johannesburg 2002. International Institute for Applied Systems Analysis, Laxenburg, Austria, 2002: 150-152.
[7] FAO. Crop Evapotranspiration.FAO Irrigation and Drainage Paper No.56 Rome, Italy, 1998.
[8] Monteith J L.Evapotranspiration and the environment. In: The State and Movement of Water in Living Organisms, 1965: 205-234.
[9] Monteith J L.Evapotranspiration and surface temperature. Quarterly Journal Royal Meteorological Society , 1981, 107: 1-27.
[10] SRTM-Shuttle Radar Topography Mission, 90 m Digital Elevation Database. http://srtm.usgs.gov/.
[11] Meteorological data. China's National Meteorological Bureau. http://cdc.cma.gov.cn.

[1]	魏石梅, 潘竟虎. 中国地级及以上城市网络结构韧性测度[J]. 地理学报, 2021, 76(6): 1394-1407.
[2]	杨忍, 潘瑜鑫. 中国县域乡村脆弱性空间特征与形成机制及对策[J]. 地理学报, 2021, 76(6): 1438-1454.
[3]	殷江滨, 李尚谦, 姜磊, 程哲, 黄晓燕, 路改改. 中国连片特困地区非农就业增长的时空特征与驱动因素[J]. 地理学报, 2021, 76(6): 1471-1488.
[4]	胡畔, 陈波, 史培军. 中国暴雨洪涝灾情时空格局及影响因素[J]. 地理学报, 2021, 76(5): 1148-1162.
[5]	黄晓东, 马海涛, 苗长虹. 基于创新企业的中国城市网络联系特征[J]. 地理学报, 2021, 76(4): 835-852.
[6]	王录仓, 刘海洋, 刘清. 基于腾讯迁徙大数据的中国城市网络研究[J]. 地理学报, 2021, 76(4): 853-869.
[7]	夏兴生, 潘耀忠, 朱秀芳, 张锦水. 中国综合农业分区下的Ångström-Prescott公式系数逐月校正与优选[J]. 地理学报, 2021, 76(4): 888-902.
[8]	王淑佳, 孙九霞. 中国传统村落可持续发展评价体系构建与实证[J]. 地理学报, 2021, 76(4): 921-938.
[9]	范泽孟. 中国生态过渡带分布的空间识别及情景模拟[J]. 地理学报, 2021, 76(3): 626-644.
[10]	徐羽, 李秀彬, 辛良杰. 中国耕地规模化流转租金的分异特征及其影响因素[J]. 地理学报, 2021, 76(3): 753-763.
[11]	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.
[12]	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.
[13]	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.
[14]	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.
[15]	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.

中国农田熟制资源地理分布数据

Cropping rotation system data of China

PDF (PC)

赞

可视化

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