首页> 外文期刊>Applied Geography >Methods for cropland reconstruction based on gazetteers in the Qing Dynasty (1644-1911): A case study in Zhili province, China
【24h】

Methods for cropland reconstruction based on gazetteers in the Qing Dynasty (1644-1911): A case study in Zhili province, China

机译:清(1644-1911)基于地名词典的农田重建方法:以中国直隶省为例

获取原文
获取原文并翻译 | 示例
           

摘要

The accuracy of historical land use/land cover change (LUCC) reconstruction on the regional scale is fundamental for global change research. In this study, based on gazetteers, we developed a methodological framework. It follows the steps including 1) collecting the land tax payment records which had information on cropland and calculating the total registered cropland data in each county; 2) validating the registered land data based on the understanding of the traditional Chinese principles of land assessment; 3) selecting the time slices which obtain as many counties with cropland data as possible and 4) interpolating the missing data based on their temporal and spatial distribution, to produce the cropland dataset at the county level in 1677, 1755 and 1884 in Zhili province (including the current administrative territory of Beijing municipality, Tianjin municipality, most of Hebei province and a few parts of Henan province, Shangdong province, Liaoning Province and Inner Mongolia Autonomous Region). In comparison, our cropland data is close to most of the other researchers' and its spatial resolution is improved. The developed methods were reliable and could be applied to improve the precision of the existing LUCC datasets and could be used to study regional climate and environment simulations. (C) 2015 Elsevier Ltd. All rights reserved.
机译:区域规模的历史土地使用/土地覆被变化(LUCC)重建的准确性是全球变化研究的基础。在这项基于宪报的研究中,我们开发了一种方法框架。它包括以下步骤:1)收集具有耕地信息的土地税收记录,并计算每个县的已登记耕地总数据; 2)基于对中国传统土地评估原则的理解,对注册土地数据进行验证; 3)选择尽可能多的县来获取耕地数据的时间片,以及4)根据时间和空间分布对缺失数据进行插值,以生成直隶省1677、1755和1884年县级的农田数据集(包括目前的北京市,天津市,河北省大部分地区以及河南省,山东省,辽宁省和内蒙古自治区的部分行政区域)。相比之下,我们的农田数据接近其他大多数研究人员,其空间分辨率得到了改善。所开发的方法可靠,可用于提高现有LUCC数据集的精度,并可用于研究区域气候和环境模拟。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号