An approach to spatially explicit reconstruction of historical forest in Northeast China

Li, Shicheng; He, Fei; Zhang, Xuezhen

doi:10.1007/s11442-014-1135-x

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…This has provided beneficial data for qualitative and semi-quantitative analysis of historical LUCC. However, due to limited richness and identifiability of historical data in different spatiotemporal scales, the majority of recent studies focused on areas with complete local administration units and geographic forms (Lin, Zheng & He, 2009;He, Li & Zhang, 2011;Xie et al, 2013;Li, He & Zhang, 2014;Zhang et al, 2014;Luo et al, 2014;Lin et al, 2015). This has resulted in a situation where the precision of the "top-down" spatial distribution method encounters a bottleneck when approaching a certain level (village or county) of administration unit.…”

Section: Introductionmentioning

confidence: 99%

Multi-agent model-based historical cropland spatial pattern reconstruction for 1661–1952, Shandong Province, China

Yang

Jin

et al. 2016

Global and Planetary Change

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To advance the research of global land use/cover change (LUCC), biodiversity, global carbon cycle, and other aspects of the earth system, it is essential to reconstruct changes in historical cropland cover with long time series and high-resolution grid. Currently, it is a general approach which is based on the view of combining the overall control of cropland area, selecting grid of high land suitability, and 'top-down' decision-making behaviors to reconstruct the historical cropland. Considering various factors that influenced cropland distribution, including behavioral agent's selection by itself and the limitation of nature and human factors, a spatiotemporal dynamical reconstruction model of historical cropland based on the multi-agent systems has been developed from the perspective of 'bottom-up', which combine macroscopic and microscopic decision-making behaviors of agents to simulate the government and farmer autonomously implementing the selection behaviors of farming area. Taking Shandong Province as the study area, this model was used to imitate its cropland spatiotemporal pattern with 1km grid-resolution from 1661 combining the contemporary pattern and reconstructed amount of historical cropland as a maximum potential scope and control variable of reconstruction model, respectively, furthermore, followed the accuracy valuation and comparative analysis. The reconstructed results show that: 1) It is properly suitable for Multi-Agent to simulate and reconstruct the spatial distribution of historical cropland; 2) Compared with historical map datasets (1930s) from the view of point to point, the correctly classified producer accuracy, user accuracy and overall accuracy of reconstructed result totally up to 59.09%, 80.62% and 62.31%,

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Section: Introductionmentioning

confidence: 99%

Multi-agent model-based historical cropland spatial pattern reconstruction for 1661–1952, Shandong Province, China

Yang

Jin

et al. 2016

Global and Planetary Change

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“…It can be seen that the reconstruction model and research results of this paper can more objectively reflect the distribution of cropland in karst areas during the historical period, and the reconstruction model is suitable for karst areas with low productivity levels.Land use/cover change (LUCC) caused by human activities is an essential factor affecting climatic and ecosystem changes on regional and global scales. It has become the focus of global ecological and environmental change research [1][2][3][4][5] . In 1995, the International Geosphere-Biosphere Programme (IGBP) and the International Human Dimensions Programme on Global Environmental Change (IHDP), two international organizations, regarded the Land Use/Cover Change Scientific Research Programme as an essential part of global change research.…”

mentioning

confidence: 99%

“…Land use/cover change (LUCC) caused by human activities is an essential factor affecting climatic and ecosystem changes on regional and global scales. It has become the focus of global ecological and environmental change research [1][2][3][4][5] . In 1995, the International Geosphere-Biosphere Programme (IGBP) and the International Human Dimensions Programme on Global Environmental Change (IHDP), two international organizations, regarded the Land Use/Cover Change Scientific Research Programme as an essential part of global change research.…”

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confidence: 99%

Reconstructing spatial pattern of historical cropland in karst areas of Guizhou, Southwest China

Yang

Cheng

Jiao

et al. 2022

Sci Rep

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Karst regions are exceptionally responsive to global change with their harsh natural environment, fragile ecology, and acute human-land conflicts. The reconstruction of cropland spatial pattern in karst areas during the historical period is typical for studying human-land relations in karst areas and has important practical significance for climate study. The ecological environment changes at regional and global scales, primarily to provide essential data and a theoretical basis for studying the inverse evolution of rock desertification in karst areas. Guizhou province, a typical karst area, was selected as the research area in 1820. Based on the correction of historical population data and cropland data, a reconstruction model of cropland spatial pattern in karst areas during the historical period was constructed by selecting factors such as elevation, slope, soil types, organic matter content, climatic productivity potential, distance to river and distance from settlements to reconstruct the spatial pattern distribution of cropland in 1820 of Guizhou. The results show that the data on cropland recorded in Guizhou during the Qing dynasty is too low, mainly due to Yin-Ni and the policy of Tu-Di-Mian-Ke. In 1820, the total area of revised cropland in Guizhou was 1,851,792 hm2, with the highest proportion of 14.32% in Dading Fu and the lowest in Songtao Ting at 1.6%. Only 30% of the grid in Guizhou has a cropland distribution. It is mainly concentrated in the central part of Qianzhong District (Anshun and Guiyang Fu), the southern part of Qianbei District (Pingyue Fu and southern Zunyi Fu), the western part of Qiandongnan District, the central and eastern parts of the Qiandongbei District. The overall average reclamation rate of land in Guizhou is 10.93%, the highest reclamation intensity in Qianzhong District, with 8.5% of grids ≥ 50%, and the smallest in Qianxinan District, with only 1.65% of grids ≥ 50%. The analysis is validated by comparing the reconstruction model and the reconstruction results. It can be seen that the reconstruction model and research results of this paper can more objectively reflect the distribution of cropland in karst areas during the historical period, and the reconstruction model is suitable for karst areas with low productivity levels.

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“…Specifically, researches at the global scale focus on characteristics and trends of global land use change and are of low accuracy, which is typically represented by SAGE (Ramankutty and Foley, 1998;Ramankutty and Foley, 1999;Ramankutty and Foley, 2010), HYDE (Goldewijk, 2001;Goldewijk and Van, 2006;Goldewijk et al, 2011), Pongratz et al (2008) etc. ; researches at the regional scale are more likely to be interested in exploring the utilization pattern of national/regional land use, emphasize data accuracy and methodology suitability, which can further be divided into continental/national (Ge et al, 2008;Ge, 2008;Hall et al, 1995;He et al, 2007;Kaplan et al, 2009;Liu and Tian, 2010;Steyaert and Knox, 2008), provincial/regional (Ge et al, 2003;He et al, 2012;Li et al, 2011;Li et al, 2012;Li et al, 2014;Lin et al, 2009;;Ye et al, 2009a;Ye et al, 2009b;Zhang and Chen, 2007;Zhang et al, 2015), and prefecture/county levels (Bai et al, 2007;Lu et al, 2010;Wang et al, 2013).…”

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confidence: 99%

Reconstructing the historical spatial land use pattern for Jiangsu Province in mid-Qing Dynasty

et al. 2016

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This study is proposed to reconstruct a high-resolution spatial distribution of historical land use pattern with all land use types to overcome low-accuracy and/or the monotonic land use type in current historical land use reconstruction studies. The year of 1820 is set as the temporal section and the administrative area of Jiangsu Province is the study area. Land use types being reconstructed include farmland, residential land (including both urban land and rural residential land), water body, and other land (including forest land, grassland, and unused land). Data sources mainly refer to historical documents, historical geographic research outcomes, contemporary statistics, and natural environmental data. With great considerations over regional natural resources and social and economic conditions, a few theoretical assumptions have been proposed to facilitate the adjustment on prefecture farmland, urban land, and rural residential land. Upholding the idea that the contemporary land use pattern has been inherently in sequence with the historical land use pattern as well as the land use pattern shall be consistent to its accessibility, this study reconstructs the land use pattern in Jiangsu Province in 1820 with 100 m*100 m grids based on accessibility analysis and comprehensive evaluation. The outcome has been tested as valid by regionalization and correlation analysis. The resulted spatial distribution shows that back in 1820 in Jiangsu Province: (1) farmland, urban land, rural residential land, water body, and other land take about 48.49%, 4.46%, 0.16%, 15.03%, and 31.86% of the total land area respectively; (2) the land use pattern features high proportion of land in farming while low-proportion land in non-farming uses while population, topography, and the density of water body lead to great spatial variations; and (3) the reconstruction methodology has been tested as reasonable based on significant positive correlations between 1820 data and 1985 for both farmland and rural residential land at the prefecture level.

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An approach to spatially explicit reconstruction of historical forest in Northeast China

Cited by 9 publications

References 27 publications

Multi-agent model-based historical cropland spatial pattern reconstruction for 1661–1952, Shandong Province, China

Multi-agent model-based historical cropland spatial pattern reconstruction for 1661–1952, Shandong Province, China

Reconstructing spatial pattern of historical cropland in karst areas of Guizhou, Southwest China

Reconstructing the historical spatial land use pattern for Jiangsu Province in mid-Qing Dynasty

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