地理学报 ›› 2016, Vol. 71 ›› Issue (7): 1144-1156.doi: 10.11821/dlxb201607005
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:
2016-07-25
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:
基金资助:
Xiwen WEI1(), Lijuan MIAO2, Yuan JIANG1, Reshmita NATH3, Xuefeng CUI4(
)
Received:
2015-12-07
Revised:
2016-02-28
Published:
2016-07-25
Online:
2016-07-25
Supported by:
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。
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.
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