Analyzing historical land use changes using a Historical Land Use Reconstruction Model: a case study in Zhenlai County, northeastern China.

Analyzing historical land use changes using a Historical Land Use Reconstruction Model: a case study in Zhenlai County, northeastern China.
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使用历史土地使用重建模型分析历史土地使用变化:中国东北部Zhenlai县的案例研究。

DOI:
10.1038/srep41275
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发表时间:
2017-01-30
期刊:
影响因子:
4.6
通讯作者:
de Sherbinin A
de Sherbinin A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Yang Y;Zhang S;Liu Y;Xing X;de Sherbinin A

文献摘要

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历史土地利用信息对于理解人为改变土地利用/覆盖对环境和生态问题的时间动态的影响至关重要。然而,由于历史土地利用变化的空间明确性、专题细节的完整性和转换类型的欠缺,大多数历史土地利用重建还不能充分满足模型的要求。针对这些不足,我们探索了构建一个空间显式的建模框架(HLURM:历史土地利用重建模型)的可能性。然后采用三图比较法对投影重建图进行验证。重建表明,HLURM模型在不同土地利用类别的空间重建中表现良好,其优值系数(48.19%)高于其他案例研究中使用的模型。研究区最大的土地利用/覆盖类型是草地,其次是耕地和湿地。通过三幅图的比较,我们注意到三幅图之间土地利用变化的主要差异是由于研究期间土地利用类别分类的不一致所致,而不是模拟模型的结果。
Historical land use information is essential to understanding the impact of anthropogenic modification of land use/cover on the temporal dynamics of environmental and ecological issues. However, due to a lack of spatial explicitness, complete thematic details and the conversion types for historical land use changes, the majority of historical land use reconstructions do not sufficiently meet the requirements for an adequate model. Considering these shortcomings, we explored the possibility of constructing a spatially-explicit modeling framework (HLURM: Historical Land Use Reconstruction Model). Then a three-map comparison method was adopted to validate the projected reconstruction map. The reconstruction suggested that the HLURM model performed well in the spatial reconstruction of various land-use categories, and had a higher figure of merit (48.19%) than models used in other case studies. The largest land use/cover type in the study area was determined to be grassland, followed by arable land and wetland. Using the three-map comparison, we noticed that the major discrepancies in land use changes among the three maps were as a result of inconsistencies in the classification of land-use categories during the study period, rather than as a result of the simulation model.