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Model-based analysis of spatio-temporal changes in land use in Northeast China

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Abstract

Spatially explicit modeling techniques recently emerged as an alternative to monitor land use changes. This study adopted the well-known CLUE-S (Conversion of Land Use and its Effects at Small regional extent) model to analyze the spatio-temporal land use changes in a hot-spot in Northeast China (NEC). In total, 13 driving factors were selected to statistically analyze the spatial relationships between biophysical and socioeconomic factors and individual land use types. These relationships were then used to simulate land use dynamic changes during 1980–2010 at a 1 km spatial resolution, and to capture the overall land use change patterns. The obtained results indicate that increases in cropland area in NEC were mainly distributed in the Sanjiang Plain and the Songnen Plain during 1980–2000, with a small reduction between 2000 and 2010. An opposite pattern was identified for changes in forest areas. Forest decreases were mainly distributed in the Khingan Mountains and the Changbai Mountains between 1980 and 2000, with a slight increase during 2000–2010. The urban areas have expanded to occupy surrounding croplands and grasslands, particularly after the year 2000. More attention is needed on the newly gained croplands, which have largely replaced wetlands in the Sanjiang Plain over the last decade. Land use change patterns identified here should be considered in future policy making so as to strengthen local eco-environmental security.

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References

  • An S, Li H, Guan B et al., 2007. China’s natural wetlands: Past problems, current status, and future challenges. Ambio, 36(4): 335–342.

    Article  Google Scholar 

  • Bakker M, Veldkamp A, 2012. Changing relationships between land use and environmental characteristics and their consequences for spatially explicit land-use change prediction. Journal of Land Use Science, 7(4): 407–424.

    Article  Google Scholar 

  • Bindraban P S, van der Velde M, Ye L et al., 2012. Assessing the impact of soil degradation on food production. Current Opinion in Environmental Sustainability, 4(5): 478–488.

    Article  Google Scholar 

  • Brown D G, Verburg P H, Pontius Jr R G et al., 2013. Opportunities to improve impact, integration, and evaluation of land change models. Current Opinion in Environmental Sustainability, 5(5): 452–457.

    Article  Google Scholar 

  • Chen X, Fan R, Shi X et al., 2013. Spatial variation of penetration resistance and water content as affected by tillage and crop rotation in a black soil in Northeast China. Acta Agriculturae Scandinavica Section B-Soil and Plant Science, 63(8): 740–747.

    Article  Google Scholar 

  • Costanza R., 1989. Model goodness of fit: A multiple resolution procedure. Ecological Modelling, 47(3/4): 199–215.

    Article  Google Scholar 

  • Foley J A, 2005. Global consequences of land use. Science, 309(5734): 570–574.

    Article  Google Scholar 

  • Gao J, Liu Y, 2011. Climate warming and land use change in Heilongjiang Province, Northeast China. Applied Geography, 31(2): 476–482.

    Article  Google Scholar 

  • Geoghegan J, Villar S C, Klepeis P et al., 2001. Modeling tropical deforestation in the southern Yucatán peninsular region: Comparing survey and satellite data. Agriculture, Ecosystems & Environment, 85(1–3): 25–46.

    Article  Google Scholar 

  • Gong P, Wang J, Yu L et al., 2013. Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 34(7): 2607–2654.

    Article  Google Scholar 

  • Gutman G, Huang C, Chander G et al., 2013. Assessment of the NASA-USGS global land survey (GLS) datasets. Remote Sensing of Environment, 134: 249–265.

    Article  Google Scholar 

  • Lambin E.F., Geist H., 2006. Land-use and Land-cover Change. Berlin Heidelberg: Springer.

    Book  Google Scholar 

  • Lambin E F, Turner B L, Geist H J et al., 2001. The causes of land-use and land-cover change: Moving beyond the myths. Global Environmental Change, 11(4): 261–269.

    Article  Google Scholar 

  • Letourneau A, Verburg P H, Stehfest E, 2012. A land-use systems approach to represent land-use dynamics at continental and global scales. Environmental Modelling & Software, 33: 61–79.

    Article  Google Scholar 

  • Li S, Verburg P H, Lv S et al., 2012. Spatial analysis of the driving factors of grassland degradation under conditions of climate change and intensive use in Inner Mongolia, China. Regional Environmental Change, 12(3): 461–474.

    Article  Google Scholar 

  • Li Z, Tang H, Yang P et al., 2012. Spatio-temporal responses of cropland phenophases to climate change in Northeast China. Journal of Geographical Sciences, 22(1): 29–45.

    Article  Google Scholar 

  • Liu J, Liu M, Tian H et al., 2005. Spatial and temporal patterns of China’s cropland during 1990–2000: An analysis based on landsat tm data. Remote Sensing of Environment, 98(4): 442–456.

    Article  Google Scholar 

  • Liu J, Liu M, Zhuang D et al., 2003. Study on spatial pattern of land-use change in China during 1995–2000. Science in China Series D: Earth Sciences, 46(4): 373–384.

    Article  Google Scholar 

  • Liu Y, Wang D, Gao J et al., 2005. Land use/cover changes, the environment and water resources in Northeast China. Environmental Management, 36(5): 691–701.

    Article  Google Scholar 

  • Pontius Jr R G, Cornell J D, Hall C A S, 2001. Modeling the spatial pattern of land-use change with geomod 2: Application and validation for Costa Rica. Agriculture, Ecosystems & Environment, 85(1–3): 191–203.

    Article  Google Scholar 

  • Pontius Jr R G, Schneider L C, 2001. Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agriculture, Ecosystems & Environment, 85(1–3): 239–248.

    Article  Google Scholar 

  • Pontius R G, Huffaker D, Denman K, 2004. Useful techniques of validation for spatially explicit land-change models. Ecological Modelling, 179(4): 445–461.

    Article  Google Scholar 

  • Rounsevell M, Annetts J E, Audsley E et al., 2003. Modelling the spatial distribution of agricultural land use at the regional scale. Agriculture, Ecosystems & Environment, 95(2): 465–479.

    Article  Google Scholar 

  • Rounsevell M D A, Reginster I, Araújo M B et al., 2006. A coherent set of future land use change scenarios for europe. Agriculture, Ecosystems & Environment, 114(1): 57–68.

    Article  Google Scholar 

  • Schaldach R U D, Alcamo J, Koch J et al., 2011. An integrated approach to modelling land-use change on continental and global scales. Environmental Modelling & Software, 26(8): 1041–1051.

    Article  Google Scholar 

  • Serneels S, Lambin E F, 2001. Proximate causes of land-use change in Narok District, Kenya: A spatial statistical model. Agriculture, Ecosystems & Environment, 85(1–3): 65–81.

    Article  Google Scholar 

  • Sleeter B M, Sohl T L, Loveland T R et al., 2013. Land-cover change in the conterminous United States from 1973 to 2000. Global Environmental Change, 23(4): 733–748.

    Article  Google Scholar 

  • Turner II B L, Janetos A C, Verburg P H et al., 2013. Land system architecture: using land systems to adapt and mitigate global environmental change. Global Environmental Change, 23(2): 395–397.

    Article  Google Scholar 

  • Václavík T., Lautenbach S., Kuemmerle T. et al., 2013. Mapping global land system archetypes. Global Environmental Change, 23(6): 1637–1647.

    Article  Google Scholar 

  • van Asselen S., Verburg P.H., 2013. Land cover change or land-use intensification: Simulating land system change with a global-scale land change model. Global Change Biology, 19(12): 3648–3667.

    Article  Google Scholar 

  • van Vliet J, Bregt A K, Hagen-Zanker A, 2011. Revisiting kappa to account for change in the accuracy assessment of land-use change models. Ecological Modelling, 222(8): 1367–1375.

    Article  Google Scholar 

  • Veldkamp A, Fresco L O, 1996. Clue: A conceptual model to study the conversion of land use and its effects. Ecological Modelling, 85(2/3): 253–270.

    Article  Google Scholar 

  • Verburg P H, Erb K, Mertz O et al., 2013. Land system science: Between global challenges and local realities. Current Opinion in Environmental Sustainability, 5(5): 433–437.

    Article  Google Scholar 

  • Verburg P H, Neumann K, Nol L, 2011. Challenges in using land use and land cover data for global change studies. Global Change Biology, 17(2): 974–989.

    Article  Google Scholar 

  • Verburg P H, Overmars K P, Huigen M G et al., 2006. Analysis of the effects of land use change on protected areas in the philippines. Applied Geography, 26(2): 153–173.

    Article  Google Scholar 

  • Verburg P H, Schot P P, Dijst M J et al., 2004. Land use change modelling: Current practice and research priorities. Geojournal, 61(4): 309–324.

    Article  Google Scholar 

  • Verburg P H, Schulp C, Witte N et al., 2006. Downscaling of land use change scenarios to assess the dynamics of European landscapes. Agriculture, Ecosystems & Environment, 114(1): 39–56.

    Article  Google Scholar 

  • Verburg P H, Soepboer W, Veldkamp A et al., 2002. Modeling the spatial dynamics of regional land use: The CLUE-S model. Environmental Management, 30(3): 391–405.

    Article  Google Scholar 

  • White R, Engelen G, 2000. High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Computers, Environment and Urban Systems, 24(5): 383–400.

    Article  Google Scholar 

  • Wu W, Shibasaki R, Yang P et al., 2007. Global-scale modelling of future changes in sown areas of major crops. Ecological Modelling, 208(2–4): 378–390.

    Article  Google Scholar 

  • Wu W, Shibasaki R, Yang P et al., 2008. Validation and comparison of 1 km global land cover products in China. International Journal of Remote Sensing, 29(13): 3769–3785.

    Article  Google Scholar 

  • Wu W, Verburg P H, Tang H, 2014. Climate change and the food production system: Impacts and adaptation in China. Regional Environmental Change, 14(1): 1–5.

    Article  Google Scholar 

  • Xia T, Wu W, Zhou Q et al., 2014. Spatio-temporal changes in the rice planting area and their relationship to climate change in Northeast China: A model-based analysis. Journal of Integrative Agriculture, 13(7): 1575–1585.

    Article  Google Scholar 

  • Yao Y, Ye L, Tang H et al., 2015. Cropland soil organic matter content change in Northeast China, 1985–2005. Open Geosciences, 7(1), 234–243.

    Google Scholar 

  • Ye L, Tang H, Yang G et al., 2015. Adopting higher-yielding varieties to ensure Chinese food security under climate change in 2050. Procedia Environmental Sciences, 29: 281.

  • Ye L, Tang H, Zhu J et al., 2008. Spatial patterns and effects of soil organic carbon on grain productivity assessment in China. Soil Use and Management, 24(1): 80–91.

    Article  Google Scholar 

  • Ye L, Van Ranst E, 2009. Production scenarios and the effect of soil degradation on long-term food security in China. Global Environmental Change, 19(4), 464–481.

    Google Scholar 

  • Ye L, Xiong W, Li Z et al., 2013. Climate change impact on China food security in 2050. Agronomy for Sustainable Development, 33(2): 363–374.

    Article  Google Scholar 

  • Yu Q, Wu W, Verburg P H et al., 2013. A survey-based exploration of land-system dynamics in an agricultural region of Northeast China. Agricultural Systems, 121: 106–116.

    Article  Google Scholar 

  • Yu Q, Wu W, Yang P et al., 2012. Proposing an interdisciplinary and cross-scale framework for global change and food security researches. Agriculture, Ecosystems & Environment, 156: 57–71.

    Article  Google Scholar 

  • Zhang S, Zhang X, Huffman T et al., 2011. Influence of topography and land management on soil nutrients variability in Northeast China. Nutrient Cycling in Agroecosystems, 89(3): 427–438.

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province / College of Urban & Environmental Sciences, Central China Normal University, Wuhan, 430079, China

    Tian Xia & Wenbin Wu

  2. Key Laboratory of Agri-Informatics, Ministry of Agriculture / Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China

    Tian Xia, Wenbin Wu, Qingbo Zhou, Qiangyi Yu & Peng Yang

  3. Institute for Environmental Studies, VU University Amsterdam, de Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands

    Peter H. Verburg

  4. CAAS-UGent Joint Laboratory of Global Change and Food Security / Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China

    Liming Ye

  5. Department of Geology and Soil Sciences (WE13), Ghent University, 9000, Gent, Belgium

    Liming Ye

Authors
  1. Tian Xia
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  2. Wenbin Wu
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  3. Qingbo Zhou
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  4. Peter H. Verburg
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  5. Qiangyi Yu
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  6. Peng Yang
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  7. Liming Ye
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Corresponding author

Correspondence to Wenbin Wu.

Additional information

Foundation: National Natural Science Foundation of China No.41201089; No.41271112; The Fundamental Research Funds for the Central Universities, No.CCNU15A05058; National Nonprofit Institute Research Grant of CAAS, No.IARRP-2015-28

Author: Xia Tian (1981–), Associate Professor, specialized in remote sensing monitoring and simulation of the influence of the global changes in agriculture.

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Xia, T., Wu, W., Zhou, Q. et al. Model-based analysis of spatio-temporal changes in land use in Northeast China. J. Geogr. Sci. 26, 171–187 (2016). https://doi.org/10.1007/s11442-016-1261-8

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  • DOI: https://doi.org/10.1007/s11442-016-1261-8

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