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

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          Abstract

          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.

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          Estimating historical changes in global land cover: Croplands from 1700 to 1992

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            The Importance of Land-Use Legacies to Ecology and Conservation

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              Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850-2000

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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                30 January 2017
                2017
                : 7
                : 41275
                Affiliations
                [1 ]Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences , Beijing 100101, China
                [2 ]College of Resources Science and Technology, Beijing Normal University , Beijing 100875, China
                [3 ]Northeast Institute of Geography and Agroecology, Chinese Academy Sciences , Changchun 130102, China
                [4 ]Center for International Earth Science Information Network (CIESIN), Earth Institute, Columbia University , Palisades, NY 10964, USA
                Author notes
                Article
                srep41275
                10.1038/srep41275
                5278372
                28134342
                6a705e36-17e8-4342-9099-a03028eb30bf
                Copyright © 2017, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 29 September 2016
                : 14 December 2016
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