基于分层分区法的中国历史耕地数据的网格化重建

doi:10.11821/dlxb201607005

地理学报 ›› 2016, Vol. 71 ›› Issue (7): 1144-1156.doi: 10.11821/dlxb201607005

基于分层分区法的中国历史耕地数据的网格化重建

魏希文¹(), 缪丽娟², 江源¹, 崔雪锋⁴()

1. 北京师范大学资源学院,北京 100875
2. 南京信息工程大学地理与遥感学院,南京 210044
3. 中国科学院大气物理研究所季风系统研究中心,北京 100029
4. 北京师范大学系统科学学院,北京 100875

收稿日期:2015-12-07 修回日期:2016-02-28 出版日期:2016-07-25 发布日期:2016-07-27
作者简介:
作者简介：魏希文(1990-), 男, 湖南长沙人, 硕士, 研究方向为历史土地利用重建。E-mail:weixiwen@mail.bnu.edu.cn
基金资助:
国家基础研究发展计划(973) (2011CB952001);国家自然科学基金项目(41271542)

Reconstruction of the historical crop land data in China using the partition and layering-based gridded method

Xiwen WEI¹(), Lijuan MIAO², Yuan JIANG¹, Reshmita NATH³, Xuefeng CUI⁴()

1. College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China
2. School of Geography and Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China
3. Center for Monsoon System Research, Institute of Atmospheric Physics, CAS, Beijing 100029, China
4. School of System Science, Beijing Normal University, Beijing 100875, China

Received:2015-12-07 Revised:2016-02-28 Online:2016-07-25 Published:2016-07-27
Supported by:
National Basic Research Program of China (973 Program), No.2011CB952001;National Natural Science Foundation of China, No.41271542]

摘要/Abstract

摘要：

网格化历史耕地数据集能为历史时期耕地变化研究提供更精确的支持,并且为全球环境气候变化研究模型模拟提供驱动数据。本文综合考虑了中国历代土地利用开发的特点及自然人文因子对耕地的影响,设计了一套对中国耕地先分区再分层分配的网格化方法。基于国内3个主流区域耕地数据研究成果,采用上述方法建立了1820年（清仁宗嘉庆二十五年）和1936年（民国二十五年）中国10 km×10 km分辨率的耕地数据集,并绘制了分布图。本文还利用国内具有代表性的区域数据集对重建结果进行对比验证。结果表明,该方法可以保证耕地数量的权威性,并且建立具有区域性的高精度历史耕地数据集。

关键词: 中国, 历史耕地, 分区分层, 网格化重建

Abstract:

Reconstruction of the historical cropland database could provide an accurate support for the cropland researches on historical periods. Moreover, it will also act as the driving data for the global climate models. In China, there are several ways to rebuild the historical cropland on the regional scale, concerning the traditional cultivation area and the northeastern China. But there are few studies on the national scale, which is primarily due to lacking of accurate historical cropland inventory data. Therefore, it is necessary to simulate the climate and ecosystem scenarios in a wider spatial scale. In the next step, an improvement in the research on reconstruction of the historical cropland database is an efficient and quick method to meet the demand. The present paper has adopted a different approach, which divides the entire landmass of China into cropland area and livestock area according to the climate conditions and cultural diversities of the country. Several representative historical cropland databases are used as the background of our study to ensure the authenticity of the outcomes. Considering the historical land use exploitation, and the impact of the natural and anthropogenic factors on the cropland dynamics, we have developed a partition and layering-based gridded reconstruction method. This is an empirical method for spatial allocation of the historical cropland inventory data in the individual grid cells. Then we use this method to rebuild the historical cropland database maps for China during 1820 (the 25th year in the reign of Emperor Renzong Jiaqing in the Qing Dynasty) and 1936 (the 25th year of the Republic of China), at a resolution of 10 km×10 km. A precision validation is applied on the rebuilt maps by comparing them with other existing regional databases. The results show that this method could ensure the authenticity of the cropland data, with higher accuracy in the regional cropland reconstruction.

Key words: China, historical cropland, partition and layering, gridded method

魏希文, 缪丽娟, 江源, 崔雪锋. 基于分层分区法的中国历史耕地数据的网格化重建[J]. 地理学报, 2016, 71(7): 1144-1156.

Xiwen WEI, Lijuan MIAO, Yuan JIANG, Reshmita NATH, Xuefeng CUI. Reconstruction of the historical crop land data in China using the partition and layering-based gridded method[J]. Acta Geographica Sinica, 2016, 71(7): 1144-1156.

图/表 3

参考文献 48

[1]	IGBP Report No.53/IHDP Report No.19. Global Land Project: Science Plan and Implementation Strategy. S Secreteriat, 2005: 1-64.
[2]	IPCC. Climate Change 2013: The Physical Science Basis. Switzerland, 2013: 1-30. doi: 10.1080/03736245.2010.480842
[3]	Ramankutty N, Foley J A.Characterizing patterns of global land use: An analysis of global croplands data. Global Biogeochemical Cycles, 1998, 12(4): 667-685. doi: 10.1029/98GB02512
[4]	Vitousek P M, Mooney H A, Lubchenco J, et al.Human domination of earth's ecosystems. Science, 2008: 3-13. doi: 10.1007/978-0-387-73412-5_1
[5]	Brovkin V, Sitch S, Von Bloh W, et al.Role of land cover changes for atmospheric CO2 increase and climate change during the last 150 years. Global Change Biology, 2004, 10(8): 1253-1266. doi: 10.1111/j.1365-2486.2004.00812.x
[6]	Li Xiubin.A review of the international researches on land use/land cover change. Acta Geograohica Sinica, 1996, 51(6): 553-558. doi: 10.1007/BF02029074
	[李秀彬. 全球环境变化研究的核心领域: 土地利用/土地覆被变化的国际研究动向. 地理学报, 1996, 51(6): 553-558.] doi: 10.1007/BF02029074
[7]	Zhang Hua, Zhang Bo, Shi Huichun.Studies on land use and land cover change in arid regions: Taking Heihe River basin as an example. Journal of Arid Land Resources and Enviroment, 2003, 17(2): 49-54. doi: 10.3969/j.issn.1003-7578.2003.02.010
	[张华, 张勃, 石惠春. 干旱地区土地利用/土地覆盖变化研究: 以黑河流域为例. 干旱区资源与环境, 2003, 17(2): 49-54.] doi: 10.3969/j.issn.1003-7578.2003.02.010
[8]	Rindfuss R R, Walsh S J, Turner B L, et al.Developing a science of land change:Challenges and methodological issues. Proceedings of the National Academy of Science of the United States of America, 2004, 101(39): 13976-13981. doi: 10.1073/pnas.0401545101 pmid: 15383671
[9]	Ge Quansheng, He Fanneng, Zhang Jingyun, et al.Some ideals related to the development of Chinese historical geography in the 21st century. Geographical Research, 2004, 23(3): 374-384. doi: 10.3321/j.issn:1000-0585.2004.03.011
	[葛全胜, 何凡能, 郑景云, 等. 21世纪中国历史地理学发展的思考. 地理研究, 2004, 23(3): 374-384.] doi: 10.3321/j.issn:1000-0585.2004.03.011
[10]	Voldoire A, Eickhout B, Schaeffer M, et al.Climate simulation of the twenty-first century with interactive land-use changes. Climate Dynamics, 2007, 29(2/3): 177-193. doi: 10.1007/s00382-007-0228-y
[11]	Ellis E C, Klein Goldewijk K, Siebert S, et al.Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography, 2010, 19(5): 589-606. doi: 10.1111/j.1466-8238.2010.00540.x
[12]	He Fanneng, Li Meijiao, Xiao Ran.Comparisons of the land use and cover change in China and the United States over the past 300 years. Acta Geograohica Sinica, 2015, 70(2): 287-297. doi: 10.11821/dlxb201502010
	[何凡能, 李美娇, 肖冉. 中美过去300年土地利用变化比较. 地理学报, 2015, 70(2): 287-297.] doi: 10.11821/dlxb201502010
[13]	Zheng, Lin,He. Recent progress in studies on land cover change and its regional climatic effects over China during historical times. Advances in Atmospheric Sciences, 2009, 26(4): 793-802. doi: 10.1007/s00376-009-9031-5
[14]	Zhu Feng, Cui Xuefeng, Miao Lijuan.China's spatially-explicit historical land-use data and its reconstruction methodology. Progress in Geography, 2012, 31(12): 1563-1573. doi: 10.11820/dlkxjz.2012.12.001
	[朱枫, 崔雪锋, 缪丽娟. 中国历史时期土地利用数据集的重建方法述评. 地理科学进展, 2012, 31(12): 1563-1573.] doi: 10.11820/dlkxjz.2012.12.001
[15]	Li Shicheng, He Fanneng, Chen Yisong.Gridding reconstruction of cropland spatial patterns in Southwest China in the Qing Dynasty. Progress in Geography, 2012, 31(9): 1196-1203. doi: 10.11821/dlyj201402006
	[李士成, 何凡能, 陈屹松. 清代西南地区耕地空间格局网格化重建. 地理科学进展, 2012, 31(9): 1196-1203.] doi: 10.11821/dlyj201402006
[16]	Miao L J, Zhu F, He B, et al.Synthesis of China's land use in the past 300 years. Global and Planetary Change, 2013, 100: 224-233. doi: 10.1016/j.gloplacha.2012.10.021
[17]	Goldewijk K K, Beusen A, Drecht G V, et al.The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years. Global Ecology and Biogeography, 2011, 20(1): 73-86. doi: 10.1111/j.1466-8238.2010.00587.x
[18]	Ramankutty N, Foley J A.Estimating historical changes in global land cover: Croplands from 1700 to 1992. Global Biogeochemical Cycles, 1999, 13(4): 997-1027. doi: 10.1029/1999GB900046
[19]	Pongratz J, Reick C, Raddatz T, et al. A reconstruction of global agricultural areas and land cover for the last millennium. Global Biogeochemical Cycles, 2008, 22: GB3018. doi: 10.1029/2007GB003153. doi: 10.1029/2007gb003153
[20]	Ge Quansheng, Dai Junhu, He Fanneng, et al.Spatiotemporal dynamics of reclamation and cultivation and its driving factors in parts of China during the last three centuries. Progress in Natural Science, 2003, 13(8): 825-832. doi: 10.3321/j.issn:1002-008X.2003.08.008
	[葛全胜, 戴君虎, 何凡能, 等. 过去300年中国部分省区耕地资源数量变化及驱动因素分析. 自然科学进展, 2003, 13(8): 825-832.] doi: 10.3321/j.issn:1002-008X.2003.08.008
[21]	He Fanneng, Ge Quansheng, Dai Junhu, et al.Quantitative analysis on forest dynamics of china in recent 300 years. Acta Geograohica Sinica, 2007, 62(1): 30-40. doi: 10.3321/j.issn:0375-5444.2007.01.004
	[何凡能, 葛全胜, 戴君虎, 等. 近300年来中国森林的变迁. 地理学报, 2007, 62(1): 30-40.] doi: 10.3321/j.issn:0375-5444.2007.01.004
[22]	Lin Shanshan, Zheng Jingyun, He Fanneng.The approach for gridding data derived from historical cropland records of the traditional cultivated region in China. Acta Geograohica Sinica, 2008, 63(1): 83-92. doi: 10.3321/j.issn:0375-5444.2008.01.009
	[林珊珊, 郑景云, 何凡能. 中国传统农区历史耕地数据网格化方法. 地理学报, 2008, 63(1): 83-92.] doi: 10.3321/j.issn:0375-5444.2008.01.009
[23]	Ye Yu, Fang Xiuqi, Dai Yujuan, et al.Date assimilation and cultivation ratio reconstruction of three provinces of Northeast China. Progress in Natural Science, 2006, 16(11): 1419-1427. doi: 10.3321/j.issn:1002-008X.2006.11.008
	[叶瑜, 方修琦, 戴玉娟, 等. 东北3省民国时期耕地数据的同化与垦殖率重建. 自然科学进展, 2006, 16(11): 1419-1427.] doi: 10.3321/j.issn:1002-008X.2006.11.008
[24]	Ye Yu, Fang Xiuqi, Ren Yuyu, et al.Coverage changes of cropland in northeastern China during the past 300 years. Science in China: Earth Sciences, 2009, 39(3): 340-350.
	[叶瑜, 方修琦, 任玉玉, 等. 东北地区过去300年耕地覆盖变化. 中国科学: 地球科学, 2009, 39(3): 340-350.]
[25]	Ye Yu, Fang Xiuqi, Zhang Xuezhen, et al.Coverage changes of forestland and grassland in northeastern China during the past 300 years. Journal of Beijing Forestry University, 2009, 31(5): 137-144.
	[叶瑜, 方修琦, 张学珍, 等. 过去300年东北地区林地和草地覆盖变化. 北京林业大学学报, 2009, 31(5): 137-144.]
[26]	Li Ke, He Fanneng, Zhang Xuezhen.An approach of reconstructing historical cropland spatial distribution with grid-boxes by utilizing MODIS land cover dataset: A case study for Yunnan Province in the Qing Dynasty. Geographical Research, 2011, 30(12): 2281-2288.
	[李柯, 何凡能, 张学珍. 基于MODIS数据网格化重建历史耕地空间分布的方法: 以清代云南省为例. 地理研究, 2011, 30(12): 2281-2288.]
[27]	Long Y, Jin X B, Yang X H, et al.Reconstruction of historical arable land use patterns using constrained cellular automata: A case study of Jiangsu, China. Applied Geography, 2014, 52: 67-77. doi: 10.1016/j.apgeog.2014.05.001
[28]	Li Shicheng, Zhang Yili, He Fanneng.Reconstruction of cropland distribution in Qinghai and Tibet for the past one hundred years and its spatiotemporal changes. Progress in Geography, 2015, 34(2): 197-206. doi: 10.11820/dlkxjz.2015.02.008
	[李士成, 张镱锂, 何凡能. 过去百年青海和西藏耕地空间格局重建及其时空变化. 地理科学进展, 2015, 34(2): 197-206.] doi: 10.11820/dlkxjz.2015.02.008
[29]	Liu M, Tian H. China's land cover and land use changefrom 1700 to 2005: Estimations from high-resolution satellite data and historical archives. Global Biogeochemical Cycles, 2010, 24: GB3003. doi: 10.1029/2009GB003687. doi: 10.1029/2009GB003687
[30]	Li S C, He F N, Zhang X Z.A spatially explicit reconstruction of cropland cover in China from 1661 to 1996. Regional Environmental Change, 2015: 1-12. doi: 10.1007/s10113-014-0751-4
[31]	He Fanneng, Li Shicheng, Zhang Xuezhen, et al.Comparisons of reconstructed cropland area from multiple datasets for the traditional cultivated region of China in the last 300 years. Acta Geographica Sinica, 2012, 31(9): 1190-1200. doi: 10.11821/xb201209004
	[何凡能, 李士成, 张学珍, 等. 中国传统农区过去300年耕地重建结果的对比分析. 地理学报, 2012, 31(9): 1190-1200.] doi: 10.11821/xb201209004
[32]	Feng Yongheng, Zhang Shihuang, He Fanneng, et al.Separate reconstruction of Chinese cropland grid data in the 20th century. Progress in Geography, 2014, 33(11): 1546-1555. doi: 10.11820/dlkxjz.2014.09.011
	[冯永恒, 张时煌, 何凡能, 等. 20世纪中国耕地格网化数据分区重建. 地理科学进展, 2014, 33(11): 1546-1555.] doi: 10.11820/dlkxjz.2014.09.011
[33]	Deng Ai.The Eco-economy Research of Qinghai-Tibet Plateau Pastoral Areas. Beijing, China: Nationalities Publishing House, 2005: 101-145.
	[邓艾. 青藏高原草原牧区生态经济研究. 北京: 民族出版社, 2005: 101-145.]
[34]	Bao Yushan.Nomadism culture and farming culture: Collision, result, rethink: The meaning of cultural survival and equality. Social Science Front, 2007(4): 241-246.
	[包玉山.游牧文化与农耕文化: 碰撞·结果·反思: 文化生存与文化平等的意义. 社会科学战线, 2007(4): 241-246.]
[35]	Wang Ling, Xie Xianqun, Li Yunsheng, et al.Changes of humid index and border line of wet and dry climate zone in northern China over the past 40 years. Geographical Research, 2004, 23(1): 45-54. doi: 10.3321/j.issn:1000-0585.2004.01.006
	[王菱, 谢贤群, 李运生, 等. 中国北方地区40年来湿润指数和气候干湿带界线的变化. 地理研究, 2004, 23(1): 45-54.] doi: 10.3321/j.issn:1000-0585.2004.01.006
[36]	Cao Shuji.Population History of China (Vol. 5): Qing Dynasty Period. Shanghai: Fudan University Press, 2001.
	[曹树基. 中国人口史(第五卷): 清时期. 上海: 复旦大学出版社, 2001.]
[37]	Wei Xiwen, Cui Xuefeng.Construction of cultivation land suitability index for China based on climate and soil properties. Journal of Beijing Normal University (Natural Science), 2016, 52(1): 63-69. doi: 10.16360/j.cnki.jbnuns.2016.01.014
	[魏希文, 崔雪锋. 基于气候和土壤要素的中国耕地适宜性指数构建. 北京师范大学学报(自然科学版), 2016, 52(1): 63-69.] doi: 10.16360/j.cnki.jbnuns.2016.01.014
[38]	Gao Xiang, Liu Fengyun.The discussion of farming and nomadic: Relationship and development tendency. Journal of Renmin University of China, 1995(1): 78-85.
	[高翔, 刘凤云. 论古代中国北方的农耕与游牧: 对两种文化关系及发展趋向的探讨. 中国人民大学学报, 1995(1): 78-85.]
[39]	Luo Jing, Chen Qiong, Liu Fenggui, et al.Methods for reconstructing historical cropland spatial distribution of the Yellow River-Huangshui river valley in Tibetan Plateau. Progress in Geography, 2015, 34(2): 207-216. doi: 10.11820/dlkxjz.2015.02.009
	[罗静, 陈琼, 刘峰贵, 等. 青藏高原河谷地区历史时期耕地格局重建方法探讨: 以河湟谷地为例. 地理科学进展, 2015, 34(2): 207-216.] doi: 10.11820/dlkxjz.2015.02.009
[40]	Zhang Jingming.The catering culture research of the nomadic people in north China [D]. Beijing: Renmin University of China, 2004.
	[张景明. 中国北方游牧民族饮食文化研究[D]. 北京: 中央民族大学, 2004.]
[41]	Liang Yuetian.Wheat variety and accumulated temperature. Experiment of Agricultural Science, 1980(7): 10-12.
	[梁月天. 小麦品种与积温. 农业科学实验, 1980(7): 10-12.]
[42]	Xue Dawei, Fang Maoting, Qian Qian.Application of effective accumulative temperature in rice production. China Rice, 2004(4): 47-48. doi: 10.3969/j.issn.1006-8082.2004.04.028
	[薛大伟, 方茂庭, 钱前. 有效积温在水稻生产中的应用. 中国稻米, 2004(4): 47-48.] doi: 10.3969/j.issn.1006-8082.2004.04.028
[43]	Xu Chengzhong, Dong Xingyu, Yang Hongbin, et al.The impact of changes of accumulated temperature to summer maize-winter wheat rotation system. Shandong Agricultural Sciences, 2009(2): 34-37. doi: 10.3969/j.issn.1001-4942.2009.02.010
	[徐成忠, 董兴玉, 杨洪宾, 等. 积温变迁对夏玉米冬小麦两熟制播期的影响. 山东农业科学, 2009(2): 34-37.] doi: 10.3969/j.issn.1001-4942.2009.02.010
[44]	Zheng Yingze.The impact of soil pH to crop growth. Journal of Yuxi Normal University, 1994, 10(3-4): 64-67.
	[郑应泽. 土壤酸碱度对农作物生长的影响. 玉溪师专学报, 1994, 10(3-4): 64-67.]
[45]	Li B B, Fang X Q, Ye Y, et al.Accuracy assessment of global historical cropland datasets based on regional reconstructed historical data: A case study in Northeast China. Science China Earth Sciences, 2010, 53(11): 1689-1699.
[46]	Yang X H, Guo B B, Jin X B, et al.Research on reconstructing spatial distribution of historical cropland over 300 years in traditional cultivated regions of China. Global and Planetary Change, 2015, 128: 90-102. doi: 10.1016/j.gloplacha.2015.02.007
[47]	Wang J F, Hai N R, Liu T J, et al.Sandwich estimation for multi-unit reporting on a stratified heterogeneous surface. Environment and Planning, 2013, 45(10): 2515-2534. doi: 10.1068/a44710
[48]	Liao Y L, Wang J F, Meng B, et al.Integration of GP and GA for mapping population distribution. International Journal of Geographical Information Science, 2010, 24(1): 47-67. doi: 10.1080/13658810802186874

基于分层分区法的中国历史耕地数据的网格化重建

Reconstruction of the historical crop land data in China using the partition and layering-based gridded method

RichHTML

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 48

相关文章 15

Metrics

本文评价

推荐阅读 10

[1]	朱艳硕, 王铮, 程文露. 中国装备制造业的空间枢纽—网络结构[J]. 地理学报, 2019, 74(8): 1525-1533.
[2]	陈小强, 袁丽华, 沈石, 梁晓瑶, 王元慧, 王翔宇, 叶思菁, 程昌秀, 宋长青. 中国及其周边国家间地缘关系解析[J]. 地理学报, 2019, 74(8): 1534-1547.
[3]	高超,汪丽,陈财,罗纲,孙艳伟. 海平面上升风险中国大陆沿海地区人口与经济暴露度[J]. 地理学报, 2019, 74(8): 1590-1604.
[4]	郑景云,刘洋,吴茂炜,张学珍,郝志新. 中国中世纪气候异常期温度的多尺度变化特征及区域差异[J]. 地理学报, 2019, 74(7): 1281-1291.
[5]	周沂,贺灿飞. 中国城市出口产品演化[J]. 地理学报, 2019, 74(6): 1097-1111.
[6]	王少剑,黄永源. 中国城市碳排放强度的空间溢出效应及驱动因素[J]. 地理学报, 2019, 74(6): 1131-1148.
[7]	宋雪茜,邓伟,周鹏,张少尧,万将军,刘颖. 两层级公共医疗资源空间均衡性及其影响机制——以分级诊疗改革为背景[J]. 地理学报, 2019, 74(6): 1178-1189.
[8]	杨宇,李小云,董雯,洪辉,何则,金凤君,刘毅. 中国人地关系综合评价的理论模型与实证[J]. 地理学报, 2019, 74(6): 1063-1078.
[9]	马丹阳, 尹云鹤, 吴绍洪, 郑度. 中国干湿格局对未来高排放情景下气候变化响应的敏感性[J]. 地理学报, 2019, 74(5): 857-874.
[10]	程维明,周成虎,李炳元,申元村. 中国地貌区划理论与分区体系研究[J]. 地理学报, 2019, 74(5): 839-856.
[11]	刘俊,黄莉,孙晓倩,李宁馨,张恒锦. 气候变化对中国观鸟旅游的影响——基于鸟类物候变化的分析[J]. 地理学报, 2019, 74(5): 912-922.
[12]	杨帆,何凡能,李美娇,李士成. 全球历史森林数据中国区域的可靠性评估[J]. 地理学报, 2019, 74(5): 923-934.
[13]	赵鹏军,吕迪. 中国小城镇镇区土地利用结构特征[J]. 地理学报, 2019, 74(5): 1011-1024.
[14]	方创琳, 王振波, 刘海猛. 美丽中国建设的理论基础与评估方案探索[J]. 地理学报, 2019, 74(4): 619-632.
[15]	陈明星, 叶超, 陆大道, 隋昱文, 郭莎莎. 中国特色新型城镇化理论内涵的认知与建构[J]. 地理学报, 2019, 74(4): 633-647.