中国历史时期土地覆被数据集地理空间重建进展评述

doi:10.18306/dlkxjz.2016.02.003

Abstract

Abstract:

Constructing a spatially-explicit time series of historical land cover dataset is of upmost importance for climatic and ecological studies that make use of land use and cover change (LUCC) data. Some scholars have made efforts to simulate and reconstruct quantitatively information on China's historical land use. Due to the multiple sources of land use data, diversity of reconstruction approaches, and different methods of verification, the reconstruction results of spatially-explicit historical land cover datasets significantly differ. To better understand China's historical land cover datasets and provide effective references for future reconstruction study, it is necessary to comprehensively summarize and discuss the reconstruction methods. By comparing the characteristics of different historical land cover datasets, this research thoroughly analyzed the conceptual constructs, assumptions, reconstruction methods, and validation of the models. The main conclusions are as follows: (1) The majority of the research methods starts with reconstruction of the quantity of historical land cover and then proceeds to spatial pattern reconstruction. Given the lack of adequate and reliable historical data, making reasonable hypotheses about basic data, factors controlling distribution, and limiting factors is an important condition for attaining sound reconstruction results. (2) Methodologically, the majority of the studies uses the reduction method based on historical records and the reconstruction method based on spatial models that consist of the "top-down" method of spatial distribution and the "bottom-up" method of evolutional reconstruction models. (3) In order to improve the explanatory power of the results, it is necessary to validate the reconstruction output of historical land cover datasets in detail. While direct validation of reconstruction results is a more precise method, it is often restricted by the spatiotemporal scales of the research and data sources. Indirect validation method provides an important alternative for accuracy evaluation of the reconstruction results.

Key words: land cover, historical period, spatial pattern reconstruction, China

Xuhong YANG, Xiaobin JIN, Yinan LIN, Juan HAN, Yinkang ZHOU. Review on China’s spatially-explicit historical land cover datasets and reconstruction methods[J].PROGRESS IN GEOGRAPHY, 2016, 35(2): 159-172.

Figures/Tables 5

Fig.1

Fig.2

Tab.1

Historical land cover datasets with explicit geographic information in China"

文献	模型/方法	地类	影响因子	时段/年	数据结构	空间分辨率	空间尺度
Ramankutty et al, 1999 (SAGE)	比例修正法	耕地	现代土地利用格局	1700年至今	比例型	0.5°	全球
Hurtt et al, 2006	土地类型转化模型	耕地、草地	HYDE数据集、潜在生物量	1700年至今	比例型	0.5°	全球
Klein Goldewijk et al, 1997(HYDE)	基于土地适宜性的空间配置模型	耕地、草地	人口、地形坡度、与河流距离、城镇分布、林地分布、潜在植被	10000 BC -2000 AD	比例型	5′	全球
Pongratz et al, 2008	比例修正法	耕地、草地	人口、潜在植被	800-1700	比例型	0.5°	全球
Liu et al, 2010	历史土地空间配置模型	耕地、林地、城市用地	人口密度、2000年土地利用现状	1700-2005	比例型、布尔型	10 km	中国
Li et al, 2015 (CHCD)	历史耕地数据网格化重建模型	耕地	坡度、高程、气候生产力潜力	1661、1724、1784、1820、1873、1933、1980、1996	比例型	10 km	中国
He et al, 2015	网格化重建模型	林地	高程、坡度、气候生产潜力	1700-2000,每隔20年一个断面	比例型	10 km	中国
冯永恒等, 2014	分区网格化模型	耕地	坡度、高程、人口密度、现代耕地垦殖率	1913、1933、1950、1970、1990、2000	比例型	10 km	中国
林珊珊等, 2008	网格化重建模型	耕地	海拔、坡度、人口	1820	比例型	60 km	中国传统农区
何凡能等, 2011	网格化重建模型	耕地	海拔、坡度、人口	1077	比例型	60 km	中国传统农区
Yang, Jin, et al, 2015 (HCTC)	分区同步历史耕地重建模型	耕地	坡度、高程、水系距离、降水、居民点	1661、1724、1820、1887、1933、1952	布尔型	1 km	中国传统农区
张洁等, 2007	网格化重建模型	耕地、林地、水域	现代土地利用格局	1724、1784、1820、1887、1933、1955	比例型	0.5°	中国东部
李士成等, 2014	网格化重建模型	林地	地形(海拔、坡度)、气候生产潜力	1780、1940	比例型	10 km	东北三省
叶瑜, 方修琦, 任玉玉等, 2009	垦殖率重建法	耕地	人口数量	1683、1735、1780、1908、1914等14个断面	数量和垦殖率	分县	东北三省
姜蓝齐等, 2015	网格化重建模型	耕地	聚落、水源、地形	1908	比例型	1 km	松嫩平原
张丽娟等, 2014	垦殖倾向指数模型	耕地	聚落、地形、水系	1900 s	比例型	1 km	黑龙江省
何凡能等, 2014	网格化重建模型	林地	地形(海拔、坡度)、气候生产潜力	1724、1784、1820、1873、1911	比例型	10 km	云南、贵州、四川和重庆
李士成等, 2012	网格化重建模型	耕地	海拔、坡度、气候生产潜力、人口密度	1661、1724、1784、1820、1873、1911	比例型	10 km	云南、贵州、四川和重庆
Long et al, 2014	历史耕地重建模型	耕地	土壤侵蚀、pH、有机质、居民点、水体	1661、1820、1887、1933、1980	布尔型	1 km	江苏
李士成等, 2012	历史耕地数据网格化重建模型	耕地	坡度、高程	1910、1960、1980、2000	比例型	1 km	青海与西藏
Yang, Guo, et al, 2015	历史耕地重建模型	耕地	坡度、高程、水系距离、土壤侵蚀、土壤肥力	1661、1685、1724、1753、1820、1873、1887、1933	布尔型	1 km	山东
李柯等, 2011	网格化重建模型	耕地	海拔、坡度	1671、1827	比例型	90 m	云南省
颉耀文等, 2013	网格化重建模型	耕地	海拔、坡度、人口	2、140、753、1290	比例型	5 km	黑河流域中游
罗静等, 2014	基于土地适宜性的空间配置模型	耕地	海拔、坡度、气候生产潜力	1726	比例型	2 km	青藏高原东北河湟谷地
白淑英等, 2007	土地利用数字重建模型	全地类	光、热、水、土等自然条件和人口、居民点、道路等社会经济条件	1950 s、1930 s	布尔型	县	黑龙江大庆市杜尔伯特县

Tab.1

Fig.3

Fig.4

References 62

[1]	白淑英, 张树文. 2004. 历史时期土地利用空间信息再现方法初探[J]. 干旱区资源与环境, 18(5): 77-80. doi: 10.3969/j.issn.1003-7578.2004.05.017
	[Bai S Y, Zhang S W.2004. The discussion of the method of land utilization spatial information reappearance of history period[J]. Journal of Arid Land Resources and Environment, 18(5): 77-80.] doi: 10.3969/j.issn.1003-7578.2004.05.017
[2]	白淑英, 张树文, 张养贞. 2007. 土地利用/土地覆被时空分布100年数字重建: 以大庆市杜尔伯特蒙古族自治县为例[J]. 地理学报, 62(4): 427-436.
	[Bai S Y, Zhang S W, Zhang Y Z.2007. Digital rebuilding of LUCC spatial-temporal distribution of the last 100 years: Taking Dorbod Mongolian Autonomous County in Daqing city as an example[J]. Acta Geographica Sinica, 62(4): 427-436.]
[3]	摆万奇, 赵士洞. 2001. 土地利用变化驱动力系统分析[J]. 资源科学, 23(3): 39-41.
	[Bai W Q, Zhao S D.2001. An analysis on driving force system of land use changes[J]. Resources Science, 23(3): 39-41.]
[4]	丁伟, 庞瑞洺, 许清海, 等. 2011. 中国东部暖温带低山丘陵区表土花粉对人类活动的指示意义[J]. 科学通报, 56(11): 839-847.
	[Ding W, Pang R M, Xu Q H, et al.2011. Surface pollen assemblages as indicators of human impact in the warm temperate hilly areas of eastern China[J]. Chinese Science Bulletin, 56(10): 996-1004.]
[5]	冯永恒, 张时煌, 何凡能, 等. 2014. 20世纪中国耕地格网化数据分区重建[J]. 地理科学进展, 33(11): 1546-1555. doi: 10.11820/dlkxjz.2014.09.011
	[Feng Y H, Zhang S H, He F N, et al.2014. Separate reconstruction of Chinese cropland grid data in the 20th century[J]. Progress in Geography, 33(11): 1546-1555.] doi: 10.11820/dlkxjz.2014.09.011
[6]	葛全胜, 戴君虎, 何凡能, 等. 2003. 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[J]. 自然科学进展, 13(8): 825-832. doi: 10.3321/j.issn:1002-008X.2003.08.008
	[Ge Q S, Dai J H, He F N, et al.2003. Analysis of cropland quantity change and driving factors of some provinces of China over the past 300 years[J]. Progress in Natural Science, 13(8): 825-832.] doi: 10.3321/j.issn:1002-008X.2003.08.008
[7]	葛全胜, 戴君虎, 何凡能, 等. 2008. 过去300年中国土地利用、土地覆被变化与碳循环研究[J]. 中国科学: 地球科学, 38(2): 197-210. doi: 10.3724/SP.J.1005.2008.01083
	[Ge Q S, Dai J H, He F N, et al.2008. Land use changes and their relations with carbon cycles over the past 300 a in China[J]. Science in China : Earth Sciences, 51(6): 871-884.] doi: 10.3724/SP.J.1005.2008.01083
[8]	何凡能, 葛全胜, 戴君虎, 等. 2007. 近300年来中国森林的变迁[J]. 地理学报, 62(1): 30-40.
	[He F N, Ge Q S, Dai J H, et al.2007. Quantitative analysis on forest dynamics of China in recent 300 years[J]. Acta Geographica Sinica, 62(1): 30-40.]
[9]	何凡能, 葛全胜, 郑景云. 2002. 中国清代城镇用地面积估算及其比较[J]. 地理学报, 57(6): 709-716. doi: 10.3321/j.issn:0375-5444.2002.06.011
	[He F N, Ge Q S, Zheng J Y.2002. Reckoning the areas of urban land use and their comparison in the Qing Dynasty in China[J]. Acta Geographica Sinica, 57(6): 709-716.] doi: 10.3321/j.issn:0375-5444.2002.06.011
[10]	何凡能, 李士成, 张学珍. 2011. 北宋中期耕地面积及其空间分布格局重建[J]. 地理学报, 66(11): 1531-1539.
	[He F N, Li S C, Zhang X Z.2011. The reconstruction of cropland area and its spatial distribution pattern in the mid-northern Song Dynasty[J]. Acta Geographica Sinica, 66(11): 1531-1539.]
[11]	何凡能, 李士成, 张学珍, 等. 2012. 中国传统农区过去300年耕地重建结果的对比分析[J]. 地理学报, 67(9): 1190-1200.
	[He F N, Li S C, Zhang X Z, et al.2012. Comparisons of reconstructed cropland area from multiple datasets for the traditional cultivated region of China in the last 300 years[J]. Acta Geographica Sinica, 67(9): 1190-1200.]
[12]	何凡能, 李士成, 张学珍. 2014. 清代西南地区森林空间格局网格化重建[J]. 地理研究, 33(2): 260-269. doi: 10.11821/dlyj201402006
	[He F N, Li S C, Zhang X Z.2014. Spatially explicit reconstruction of forest cover of southwest China in the Qing Dynasty[J]. Geographical Research, 33(2): 260-269.] doi: 10.11821/dlyj201402006
[13]	何凡能, 田砚宇, 葛全胜. 2003. 清代关中地区土地垦殖时空特征分析[J]. 地理研究, 22(6): 687-697.
	[He F N, Tian Y Y, Ge Q S.2003. Spatial-temporal characteristics of land reclamation in Guanzhong region in the Qing Dynasty[J]. Geographical Research, 22(6): 687-697.]
[14]	胡宁科, 李新. 2012. 历史时期土地利用变化研究方法综述[J]. 地球科学进展, 27(7): 758-768.
	[Hu N K, Li X.2012. A review of research methods of historical land use change[J]. Advances in Earth Science, 27(7): 758-768.]
[15]	华文剑, 陈海山. 2013. 全球变暖背景下土地利用/土地覆盖变化气候效应的新认识[J]. 科学通报, 58(27): 2832-2839.
	[Hua W J, Chen H S.2013. Recognition of climatic effects of land use/land cover change under global warming[J]. Chinese Science Bulletin, 58(31): 3852-3858.]
[16]	姜蓝齐, 张丽娟, 臧淑英, 等. 2015. 清末耕地空间分布格局重建方法比较[J]. 地理学报, 70(4): 625-635. doi: 10.11821/dlxb201504010
	[Jiang L Q, Zhang L J, Zang S Y, et al.2015. Comparison of approaches of spatially explicit reconstruction of cropland in the late Qing Dynasty[J]. Acta Geographica Sinica, 70(4): 625-635.] doi: 10.11821/dlxb201504010
[17]	匡文慧, 张树文, 张养贞, 等. 2005. 1900年以来长春市土地利用空间扩张机理分析[J]. 地理学报, 60(5): 841-850.
	[Kuang W H, Zhang S W, Zhang Y Z, et al.2005. Analysis of urban land utilization spatial expansion mechanism in Changchun City since 1900[J]. Acta Geographica Sinica, 60(5): 841-850.]
[18]	李蓓蓓, 方修琦, 叶瑜, 等. 2010. 全球土地利用数据集精度的区域评估: 以中国东北地区为例[J]. 中国科学: 地球科学, 40(8): 1048-1059. doi: 10.3724/SP.J.1011.2010.01081
	[Li B B, Fang X Q, Ye Y, et al.2010. Accuracy assessment of global historical cropland datasets based on regional reconstructed historical data: A case study in Northeast China[J]. Science China Earth Sciences, 53(11): 1689-1699.] doi: 10.3724/SP.J.1011.2010.01081
[19]	李柯, 何凡能, 张学珍. 2011. 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[J]. 地理研究, 30(12): 2281-2288.
	[Li K, He F N, Zhang X Z.2011. An approach to reconstructing spatial distribution of historical cropland with grid-boxes by utilizing MODIS land cover dataset: A case study of Yunnan Province in the Qing Dynasty[J]. Geographical Research, 30(12): 2281-2288.]
[20]	李巧萍, 丁一汇, 董文杰. 2006. 中国近代土地利用变化对区域气候影响的数值模拟[J]. 气象学报, 64(3): 257-270. doi: 10.3321/j.issn:0577-6619.2006.03.001
	[Li Q P, Ding Y H, Dong W J.2006. A numerical simulation on impact of historical land-use changes on regional climate in China since 1700[J]. Acta Meteorologica Sinica, 64(3): 257-270.] doi: 10.3321/j.issn:0577-6619.2006.03.001
[21]	李士成, 何凡能, 陈屹松. 2012. 清代西南地区耕地空间格局网格化重建[J]. 地理科学进展, 31(9): 1196-1203. doi: 10.11820/dlkxjz.2012.09.011
	[Li S C, He F N, Chen Y S.2012. Gridding reconstruction of cropland spatial patterns in Southwest China in the Qing Dynasty[J]. Progress in Geography, 31(9): 1196-1203.] doi: 10.11820/dlkxjz.2012.09.011
[22]	李士成, 何凡能, 张学珍. 2014. 中国历史时期森林空间格局网格化重建方法研究: 以东北地区为例[J]. 地理学报, 69(3): 312-322. doi: 10.11821/dlxb201403003
	[Li S C, He F N, Zhang X Z.2014. An approach of spatially-explicit reconstruction of historical forest in China: A case study in Northeast China[J]. Acta Geographica Sinica, 69(3): 312-322.] doi: 10.11821/dlxb201403003
[23]	李士成, 张镱锂, 何凡能. 2015. 过去百年青海和西藏耕地空间格局重建及其时空变化[J]. 地理科学进展, 34(2): 197-206. doi: 10.11820/dlkxjz.2015.02.008
	[Li S C, Zhang Y L, He F N.2015. Reconstruction of cropland distribution in Qinghai and Tibet for the past one hundred years and its spatiotemporal changes[J]. Progress in Geography, 34(2): 197-206.] doi: 10.11820/dlkxjz.2015.02.008
[24]	李为, 张平宇, 宋玉祥. 2005. 清代东北地区土地开发及其动因分析[J]. 地理科学, 25(1): 7-16. doi: 10.3969/j.issn.1000-0690.2005.01.002
	[Li W, Zhang P Y, Song Y X.2005. Analysis on land development and causes in Northeast China during Qing Dynasty[J]. Scientia Geographica Sinica, 25(1): 7-16.] doi: 10.3969/j.issn.1000-0690.2005.01.002
[25]	李秀彬. 1996. 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[J]. 地理学报, 51(6): 553-558. doi: 10.1007/BF02029074
	[Li X B.1996. A review of the international research on land use/land cover change[J]. Acta Geographica Sinica, 51(6): 553-558.] doi: 10.1007/BF02029074
[26]	林珊珊, 郑景云, 何凡能. 2008. 中国传统农区历史耕地数据网格化方法[J]. 地理学报, 63(1): 83-92. doi: 10.3321/j.issn:0375-5444.2008.01.009
	[Lin S S, Zheng J Y, He F N.2008. The approach for gridding data derived from historical cropland records of the traditional cultivated region in China[J]. Acta Geographica Sinica, 63(1): 83-92.] doi: 10.3321/j.issn:0375-5444.2008.01.009
[27]	刘纪远, 匡文慧, 张增祥, 等. 2014. 20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J]. 地理学报, 69(1): 3-14. doi: 10.11821/dlxb201401001
	[Liu J Y, Kuang W H, Zhang Z X, et al.2014. Spatiotemporal characteristics, patterns and causes of land use changes in China since the late 1980s[J]. Acta Geographica Sinica, 69(1): 3-14.] doi: 10.11821/dlxb201401001
[28]	刘纪远, 张增祥, 徐新良, 等. 2009. 21世纪初中国土地利用变化的空间格局与驱动力分析[J]. 地理学报, 64(12): 1411-1420. doi: 10.3321/j.issn:0375-5444.2009.12.001
	[Liu J Y, Zhang Z X, Xu X L, et al.2009. Spatial patterns and driving forces of land use change in China in the early 21st century[J]. Acta Geographica Sinica, 64(12): 1411-1420.] doi: 10.3321/j.issn:0375-5444.2009.12.001
[29]	刘纪远, 张增祥, 庄大方, 等. 2003. 20世纪90年代中国土地利用变化时空特征及其成因分析[J]. 地理研究, 22(1): 1-12. doi: 10.3321/j.issn:1000-0585.2003.01.001
	[Liu J Y, Zhang Z X, Zhuang D F, et al.2003. A study on the spatial-temporal dynamic changes land-use and driving forces analyses of China in the 1990s[J]. Geographical Research, 22(1): 1-12.] doi: 10.3321/j.issn:1000-0585.2003.01.001
[30]	龙瀛, 金晓斌, 李苗裔, 等. 2014. 利用约束性CA重建历史时期耕地空间格局: 以江苏省为例[J]. 地理研究, 33(12): 2239-2250. doi: 10.11821/dlyj201412003
	[Long Y, Jin X B, Li M Y, et al.2014. A constrained cellular automata model for reconstructing historical arable land in Jiangsu Province[J]. Geographical Research, 33(12): 2239-2250. ] doi: 10.11821/dlyj201412003
[31]	罗静, 张镱锂, 刘峰贵, 等. 2014. 青藏高原东北部河湟谷地1726年耕地格局重建[J]. 地理研究, 33(7): 1285-1296. doi: 10.11821/dlyj201407009
	[Luo J, Zhang Y L, Liu F G, et al.2014. Reconstruction of cropland spatial patterns for 1726 on Yellow River-Huangshui River Valley in northeast Qinghai-Tibet Plateau[J]. Geographical Research, 33(7): 1285-1296.] doi: 10.11821/dlyj201407009
[32]	吕妍, 张树文, 杨久春. 2010. 基于地名志的东北历史时期土地利用变化研究: 以吉林省镇赉县为例[J]. 地球信息科学学报, 12(2): 174-179.
	[Lv Y, Zhang S W, Yang J C.2010. Application of toponymy to the historical LUCC researches in Northeast China: Taking Zhenlai County of Jilin Province as an example[J]. Journal of Geo-Information Science, 12(2): 174-179.]
[33]	史威, 朱诚, 马春梅, 等. 2008. 中坝遗址约4250a B.P.以来古气候和人类活动记录[J]. 地理科学, 28(5): 703-708.
	[Shi W, Zhu C, Ma C M, et al.2008. Records of paleo-climate and mankind activities since 4250a B. P. in Zhongba site, Chongqing[J]. Scientia Geographica Sinica, 28(5): 703-708.]
[34]	汪桂生, 颉耀文, 王学强, 等. 2013. 明代以前黑河流域耕地面积重建[J]. 资源科学, 35(2): 362-369.
	[Wang G S, Xie Y W, Wang X Q, et al.2013. Data reconstruction of Heihe River basin cultivated land area prior to the Ming Dynasty[J]. Resources Science, 35(2): 362-369.]
[35]	王丽萍, 金晓斌, 杜心栋, 等. 2012. 基于灰色模型: 元胞自动机模型的佛山市土地利用情景模拟分析[J]. 农业工程学报, 28(3): 237-242.
	[Wang L P, Jin X B, Du X D, et al.2012. Land use scenarios simulation of Foshan city based on gray model and cellular automata model[J]. Transactions of the CSAE, 28(3): 237-242.]
[36]	魏学琼, 叶瑜, 崔玉娟, 等. 2014. 中国历史土地覆被变化重建研究进展[J]. 地球科学进展, 29(9): 1037-1045. doi: 10.11867/j.issn.1001-8166.2014.09.1037
	[Wei X Q, Ye Y, Cui Y J, et al.2014. Review of China’s historical land cover change reconstructions[J]. Advances in Earth Science, 29(9): 1037-1045.] doi: 10.11867/j.issn.1001-8166.2014.09.1037
[37]	叶瑜, 方修琦, 任玉玉, 等. 2009. 东北地区过去300年耕地覆盖变化[J]. 中国科学: 地球科学, 39(3): 340-350.
	[Ye Y, Fang X Q, Ren Y Y, et al.2009. Cropland cover change in Northeast China during the past 300 years[J]. Science in China: Earth Sciences, 52(8): 1172-1182.]
[38]	叶瑜, 方修琦, 张学珍, 等. 2009. 过去300年东北地区林地和草地覆盖变化[J]. 北京林业大学学报, 31(5): 137-144.
	[Ye Y, Fang X Q, Zhang X W, et al.2009. Coverage changes of forestland and grassland in Northeastern China during the past 300 years[J]. Journal of Beijing Forestry University, 31(5): 137-144.]
[39]	曾早早, 方修琦, 叶瑜. 2011. 吉林省近300年来聚落格局演变[J]. 地理科学, 31(1): 87-94.
	[Zeng Z Z, Fang X Q, Ye Y.2011. The pattern evoluation of settlements in Jilin Province over the past 300 years[J]. Scientia Geographica Sinica, 31(1): 87-94.]
[40]	张鸿辉, 曾永年, 金晓斌, 等. 2008. 多智能体城市土地扩张模型及其应用[J]. 地理学报, 63(8): 869-881. doi: 10.3321/j.issn:0375-5444.2008.08.008
	[Zhang H H, Zeng Y N, Jin X B, et al.2008. Urban land expansion model based on multi-agent system and application[J]. Acta Geographica Sinica, 63(8): 869-881.] doi: 10.3321/j.issn:0375-5444.2008.08.008
[41]	张洁, 陈星. 2007. 中国东部地区土地利用和植被覆盖的历史演变[J]. 南京大学学报: 自然科学, 43(5): 544-555. doi: 10.3321/j.issn:0469-5097.2007.05.013
	[Zhang J, Chen X.2007. The historical land use and vegetation cover change in eastern China[J]. Journal of Nanjing University: Natural Sciences, 43(5): 544-555. ] doi: 10.3321/j.issn:0469-5097.2007.05.013
[42]	张丽娟, 姜蓝齐, 张学珍, 等. 2014. 19世纪末黑龙江省的耕地覆盖重建[J]. 地理学报, 69(4): 448-458. doi: 10.11821/dlxb201404002
	[Zhang L J, Jiang L Q, Zhang X Z, et al.2014. Reconstruction of cropland over Heilongjiang Province in the late 19th century[J]. Acta Geographica Sinica, 69(4): 448-458.] doi: 10.11821/dlxb201404002
[43]	朱枫, 崔雪锋, 缪丽娟. 2012. 中国历史时期土地利用数据集的重建方法述评[J]. 地理科学进展, 31(12): 1563-1573. doi: 10.11820/dlkxjz.2012.12.001
	[Zhu F, Cui X F, Miao L J.2012. China’s spatially-explicit historical land-use data and its reconstruction methodology[J]. Progress in Geography, 31(12): 1563-1573.] doi: 10.11820/dlkxjz.2012.12.001
[44]	颉耀文, 汪桂生. 2014. 黑河流域历史时期水资源利用空间格局重建[J]. 地理研究, 33(10): 1977-1991. doi: 10.11821/dlyj201410017
	[Xie Y W, Wang G S.2014. Reconstruction of historic spatial pattern for water resources utilization in the Heihe River basin[J]. Geographical Research, 33(10): 1977-1991.] doi: 10.11821/dlyj201410017
[45]	颉耀文, 王学强, 汪桂生, 等. 2013. 基于网格化模型的黑河流域中游历史时期耕地分布模拟[J]. 地球科学进展, 28(1): 71-78. doi: 10.11867/j.issn.1001-8166.2013.01.0071
	[Xie Y W, Wang X Q, Wang G S, et al.2013. Cultivated land distribution simulation based on grid in middle reaches of Heihe River basin in the historical periods[J]. Advances in Earth Science, 28(1): 71-78.] doi: 10.11867/j.issn.1001-8166.2013.01.0071
[46]	Fuchs R, Herold M, Verburg P H, et al.2012. A high-resolution and harmonized model approach for reconstructing and analyzing historic land changes in Europe[J]. Biogeosciences Discussions, 9(10): 14823-14866. doi: 10.5194/bgd-9-14823-2012
[47]	Goldewijk K K.2001. Estimating global land use change over the past 300 years: The HYDE database[J]. Global Biogeochemical Cycles, 15(2): 417-433. doi: 10.1029/1999GB001232
[48]	He F N, Li S C, Zhang X Z.2015. A spatially explicit reconstruction of forest cover in China over 1700-2000[J]. Global and Planetary Change, 131: 73-81. doi: 10.1016/j.gloplacha.2015.05.008
[49]	Hurtt G C, Frolking S, Fearon M G, et al.2006. The underpinnings of land-use history: Three centuries of global gridded land-use transitions, wood-harvest activity, and resulting secondary lands[J]. Global Change Biology, 12(7): 1208-1229. doi: 10.1111/j.1365-2486.2006.01150.x
[50]	Klein Goldewijk C G M, Battjes J J.1997. A hundred year (1890-1990) database for integrated environmental assessment (HYDE, version 1.1)[M]. Bilthoven, the Netherlands: National Institute of Public Health and the Environment (RIVM).
[51]	Li S C, He F N, Zhang X Z.2016. A spatially explicit reconstruction of cropland cover in China from 1661 to 1996[J]. Regional Environmental Change, 16(2): 417-428. doi: 10.1007/s10113-014-0751-4
[52]	Lin S S, Zheng J Y, He F N.2009. Gridding cropland data reconstruction over the agricultural region of China in 1820[J]. Journal of Geographical Sciences, 19(1): 36-48. doi: 10.1007/s11442-009-0036-x
[53]	Liu M L, Tian H Q.2010. China's land cover and land use change from 1700 to 2005: Estimations from high-resolution satellite data and historical archives[J]. Global Biogeochemical Cycles, 24(3), doi: 10.1029/2009GB003687. doi: 10.1029/2009GB003687
[54]	Long Y, Jin X B, Yang X H, et al.2014. Reconstruction of historical arable land use patterns using constrained cellular automata: a case study of Jiangsu, China[J]. Applied Geography, 52: 67-77. doi: 10.1016/j.apgeog.2014.05.001
[55]	Pongratz J, Reick C, Raddatz T, et al.2008. A reconstruction of global agricultural areas and land cover for the last millennium[J]. Global Biogeochemical Cycles, 22(3), doi: 10.1029/2007GB003153. doi: 10.1029/2007gb003153
[56]	Ramankutty N, Foley J A.1999. Estimating historical changes in global land cover: croplands from 1700 to 1992[J]. Global Biogeochemical Cycles, 13(4): 997-1027. doi: 10.1029/1999GB900046
[57]	Ray D K, Pijanowski B C.2010. A backcast land use change model to generate past land use maps: application and validation at the Muskegon River watershed of Michigan, USA[J]. Journal of Land Use Science, 5(1): 1-29. doi: 10.1080/17474230903150799
[58]	Sterling S M, Ducharne A, Polcher J.2013. The impact of global land-cover change on the terrestrial water cycle[J]. Nature Climate Change, 3(4): 385-390. doi: 10.1038/NCLIMATE1690
[59]	Tian H Q, Banger K, Bo T, et al.2014. History of land use in India during 1880-2010: large-scale land transformations reconstructed from satellite data and historical archives[J]. Global and Planetary Change, 121: 78-88. doi: 10.1016/j.gloplacha.2014.07.005
[60]	Yang X H, Jin X B, Guo B B, et al.2015. Research on reconstructing spatial distribution of historical cropland over 300 years in traditional cultivated regions of China[J]. Global and Planetary Change, 128: 90-102. doi: 10.1016/j.gloplacha.2015.02.007
[61]	Yang X H, Guo B B, Jin X B, et al.2015. Reconstructing spatial distribution of historical cropland in China’s traditional cultivated region: methods and case study[J]. Chinese Geographical Science, 25(5): 629-643. doi: 10.1007/s11769-015-0753-2
[62]	Yang Y Y, Zhang S W, Yang J C, et al.2014. A review of historical reconstruction methods of land use/land cover[J]. Journal of Geographical Sciences, 24(4): 746-766. doi: 10.1007/s11442-014-1117-z

Review on China’s spatially-explicit historical land cover datasets and reconstruction methods

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 5

References 62

Related Articles 15

Metrics

Comments

Recommended 0

[1]	CHEN Zhuo, LIANG Yi, JIN Fengjun. Simulation of city network accessibility and its influence on regional development pattern in China based on integrated land transport system [J]. PROGRESS IN GEOGRAPHY, 2021, 40(2): 183-193.
[2]	JIANG Wanbei, LIU Weidong, LIU Zhigao, HAN Mengyao. Inequality and driving forces of energy-related CO₂ emissions intensity in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1425-1435.
[3]	HUANG Yingze, QIU Bingwen, HE Yuhua, ZHANG Ke, ZOU Fengli. Optimal elevation interval of rice expansion in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1557-1564.
[4]	HU Guojian, LU Yuqi. Progress, thoughts, and prospect of urban network research based on enterprise perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1587-1596.
[5]	FU Zhanhui, MEI Lin, ZHENG Rumin, WANG Tongtong. Spatial differentiation mechanism of urban female employment rate in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1308-1318.
[6]	ZHU Shengjun, HUANG Yongyuan, HU Xiaohui. Research framework and prospect of industrial value chain upgrading and spatial upgrading based on a multiple scale perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1367-1384.
[7]	DU Xinru, LU Zi, LI Renjie, DONG Yaqing, GAO Wei. Estimation of time delay cost of hub airports in China, air routes effect and comparison with the United States [J]. PROGRESS IN GEOGRAPHY, 2020, 39(7): 1160-1171.
[8]	LIU Xiaopeng, CHENG Jing, ZHAO Xiaoyong, MIAO Hong, WEI Jingyi, ZENG Duan, MA Cunxia. Sustainable poverty reduction of China in a view of development geography [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 892-901.
[9]	ZHOU Guohua, ZHANG Rujiao, HE Yanhua, DAI Liuyan, ZHANG Li. Optimization of rural settlements and the governance of rural relative poverty [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 902-912.
[10]	TAN Xuelan, JIANG Lingxiao, WANG Zhenkai, AN Yue, CHEN Min, REN Hui. Rural poverty in China from the perspective of geography: Origin, progress, and prospect [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 913-923.
[11]	GUO Jianke, HOU Yajie, HE Yao. Characteristics of change of the China-Europe port shipping network under the Belt and Road Initiative [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 716-726.
[12]	SUN Na, ZHANG Meiqing. Network structure and evolution characteristics of cities in China based on high-speed railway transport flow [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 727-737.
[13]	LIU Cai, ZHANG Haiyan, LI Qian. Spatiotemporal characteristics of human activity intensity and its driving mechanism in Hainan Island from 1980 to 2018 [J]. PROGRESS IN GEOGRAPHY, 2020, 39(4): 567-576.
[14]	DU Delin, WANG Jiaoe, WANG Yi. Market structure and competition of the three major airlines in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 367-376.
[15]	DUAN Qianwen, TAN Minghong. Temporal and spatial changes of urban forests in major cities in China and abroad [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 410-419.