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元代前期省域耕地面积重建
Reconstruction of cropland area at the provincial level in the early Yuan Dynasty

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李美娇 1,2   何凡能 1 *   杨帆 1,2   李士成 3  
文摘 基于历史文献资料重建区域历史时期土地利用/覆被变化,对深入研究区域生态环境效应、充实全球历史土地利用数据集等均具有重要意义。本文通过对元代(1271-1368年)屯田与屯户、垦田与户口等册载数据及相关史料的梳理与分析,提出了户均屯田数与户均垦田数的转换关系,构建了元代省域耕地面积估算方法,重建了至元二十七年(1290年)研究区省域耕地面积。结果表明:①元代户均屯田数和户均垦田数均具有明显北高南低的特征,这种区域差异性是南北方地区自然条件和种植制度等差异的客观反映,而地域一致性则是户均屯田数配拨以该地户均垦田数为参照的具体表征。②在省域尺度上,户均屯田数与户均垦田数存有一定偏差,其南北方地区的修订系数分别为1.23和0.65。③元代至元二十七年研究区耕地总量为535.4×10~6今亩,垦殖率为6.8%,人均耕地面积为6.7今亩;其中,境内北方地区耕地面积约占57.8%,垦殖率为6.6%,人均耕地面积为15.6今亩;南方地区约占42.2%,垦殖率为7.1%,人均耕地面积为4.1今亩。④黄河中下游的腹里地区、淮河流域的河南行省、长江中下游地区的江浙、江西及湖广行省和西南地区的云南行省是元代至元年间耕地的主要分布区。
其他语种文摘 Reconstruction of regional historical land use and land cover change (LUCC) on the basis of historical documents is significant for regional eco-environmental effect studies and the enrichment of global historical land use datasets. By analyzing data recorded in historical documents, including Tuntian (cropland which was reclaimed by troops or farmers for military supplies) area, the number of Tuntian households, cropland area and the number of households, this paper proposed the conversion relationship between per household Tuntian area and per household cropland area. And a provincial cropland area estimation method of the Yuan Dynasty was designed. Then the method was used to reconstruct the provincial cropland area for AD 1290. The results are shown as follows: (1) Both per household Tuntian area and per household cropland area were high in north and low in south in the Yuan Dynasty, which was resulted from the differences of natural conditions and cropping systems in the south and north. And the geographical consistency signified that the allocation of per household Tuntian area takes reference to the local per household cropland area. (2) At the provincial level, there was some deviation between per household Tuntian area and per household cropland area. And the revision coefficients in the south and north were 1.23 and 0.65 respectively. (3) The cropland area of the whole study area in AD 1290 was about 535. 4×10~6 mu (Chinese area unit, 1 mu= 666.7 m2), accounting for 57.8% of the north and 42.2% of the south. The territory land reclamation rate of the whole study area, the north, and the south were 6.8%, 6.6% and 7.1%, respectively. And per capita cropland area of the whole study area, the north, and the south were 6.7 mu, 15.6 mu and 4.1 mu, respectively. (4) The cropland was mainly distributed in the middle and lower reaches of the Yellow River (including Fuli area), the Huaihe River Basin (including Henan province), the middle and lower reaches of the Yangtze River (including Jiangzhe, Jiangxi, and Huguang provinces), and Yunnan province.
来源 地理学报 ,2018,73(5):832-842 【核心库】
DOI 10.11821/dlxb201805004
关键词 历史土地利用/覆被变化 ; 耕地 ; 面积估算 ; 历史文献 ; 元代
地址

1. 中国科学院地理科学与资源研究所, 中国科学院陆地表层格局与模拟重点实验室, 北京, 100101  

2. 中国科学院大学, 北京, 100049  

3. 中国地质大学(武汉)公共管理学院, 武汉, 430074

语种 中文
文献类型 研究性论文
ISSN 0375-5444
基金 国家重点研发计划 ;  国家自然科学基金项目 ;  国家科技基础性工作专项
文献收藏号 CSCD:6229007

参考文献 共 40 共2页

1.  Turner B L II. Global land-use/land-cover change: Towards an integrated study. Ambio,1994,23(1):91-95 被引 6    
2.  Ramankutty N. Feedbacks between agriculture and climate: An illustration of the potential unintended consequences of human land use activities. Global and Planetary Change,2006,54(1/2):79-93 被引 9    
3.  Mahmood R. Land cover changes and their biogeophysical effects on climate. International Journal of Climatology,2014,34(4):929-953 被引 40    
4.  Arneth A. Historical carbon dioxide emissions caused by land-use changes are possibly larger than assumed. Nature Geoscience,2017,10(2):79-84 被引 20    
5.  Brovkin V. Role of land cover changes for atmospheric CO_2 increase and climate change during the last 150 years. Global Change Biology,2004,10(8):1253-1266 被引 32    
6.  Li Q P. A numerical simulation study of impacts of historical land-use changes on the regional climate in China since 1700. Acta Meteorologica Sinica,2007,21(1):9-23 被引 5    
7.  Fuchs R. Assessing the influence of historic net and gross land changes on the carbon fluxes of Europe. Global Change Biology,2015,22(7):2526-2539 被引 5    
8.  Turner B LII. Land-use and Land-cover Change. Science/Research Plan,1995 被引 2    
9.  Robert T. Land Use, Land-use Change and Forestry, Special Report of the Intergovernmental Panel on Climate Change,2000 被引 1    
10.  Ojima D S. The future research challenge: The global land project. Terrestrial Ecosystems in A Changing World,2005:313-322 被引 1    
11.  Past Global ChangesWorking Group. Land Cover 6k,2014 被引 1    
12.  Ramankutty N. Estimating historical changes in global land cover: Croplands from 1700 to 1992. Global Biogeochemical Cycles,1999,13(4):997-1027 被引 154    
13.  Ramankutty N. Global cropland and pasture data from 1700-2007,2012 被引 12    
14.  Goldewijk K K. Estimating global land use change over the past 300 years: The HYDE database. Global Biogeochemical Cycles,2001,15(2):417-433 被引 86    
15.  Goldewijk K K. Anthropogenic land use estimates for the Holocene-HYDE 3.2. Earth System Science Data,2017,9(2):927-953 被引 43    
16.  Pongratz J. A reconstruction of global agricultural areas and land cover for the last millennium. Global Biogeochemical Cycles,2008,22(3):1-16 被引 76    
17.  Kaplan J O. Holocene carbon emissions as a result of anthropogenic land cover change. The Holocene,2011,21(5):775-791 被引 56    
18.  田义超. 近300年来黄土高原耕地变化及时空格局分析. 干旱区资源与和环境,2012,26(2):94-101 被引 10    
19.  Kaplan J O. The effects of land use and climate change on the carbon cycle of Europe over the past 500 years. Global Change Biology,2012,18(3):902-914 被引 16    
20.  李蓓蓓. 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. 中国科学:地球科学,2010,40(8):1048-1059 被引 25    
引证文献 8

1 何凡能 全球历史土地利用数据集中国草地数据可靠性评估 中国科学. 地球科学,2019,49(2):421-433
被引 5

2 方修琦 中国历史耕地变化及其对自然环境的影响 古地理学报,2019,21(1):160-174
被引 9

显示所有8篇文献

论文科学数据集

1. 青藏耕地空间分布百年重建数据集(1910-2000)

2. 吉林省西部耕地变化与“旱改水”时空特征研究数据集(1990-2015)

3. 黄淮海地区夏玉米样本点数据集(2010)

数据来源:
国家对地观测科学数据中心
PlumX Metrics
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