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

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• 作者：Tian Xia ; Wenbin Wu ; Qingbo Zhou ; Peter H. Verburg…
• 关键词：land use change ; CLUE ; S ; Northeast China ; two ; way simulation
• 刊名：Journal of Geographical Sciences
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：26
• 期：2
• 页码：171-187
• 全文大小：5,494 KB
• 参考文献：An S, Li H, Guan B et al., 2007. China鈥檚 natural wetlands: Past problems, current status, and future challenges. Ambio, 36(4): 335鈥?42.CrossRef
  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鈥?24.CrossRef
  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鈥?88.CrossRef
  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鈥?57.CrossRef
  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鈥?47.CrossRef
  Costanza R., 1989. Model goodness of fit: A multiple resolution procedure. Ecological Modelling, 47(3/4): 199鈥?15.CrossRef
  Foley J A, 2005. Global consequences of land use. Science, 309(5734): 570鈥?74.CrossRef
  Gao J, Liu Y, 2011. Climate warming and land use change in Heilongjiang Province, Northeast China. Applied Geography, 31(2): 476鈥?82.CrossRef
  Geoghegan J, Villar S C, Klepeis P et al., 2001. Modeling tropical deforestation in the southern Yucat谩n peninsular region: Comparing survey and satellite data. Agriculture, Ecosystems & Environment, 85(1鈥?): 25鈥?6.CrossRef
  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鈥?654.CrossRef
  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鈥?65.CrossRef
  Lambin E.F., Geist H., 2006. Land-use and Land-cover Change. Berlin Heidelberg: Springer.CrossRef
  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鈥?69.CrossRef
  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鈥?9.CrossRef
  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鈥?74.CrossRef
  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鈥?5.CrossRef
  Liu J, Liu M, Tian H et al., 2005. Spatial and temporal patterns of China鈥檚 cropland during 1990鈥?000: An analysis based on landsat tm data. Remote Sensing of Environment, 98(4): 442鈥?56.CrossRef
  Liu J, Liu M, Zhuang D et al., 2003. Study on spatial pattern of land-use change in China during 1995鈥?000. Science in China Series D: Earth Sciences, 46(4): 373鈥?84.CrossRef
  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鈥?01.CrossRef
  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鈥?): 191鈥?03.CrossRef
  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鈥?): 239鈥?48.CrossRef
  Pontius R G, Huffaker D, Denman K, 2004. Useful techniques of validation for spatially explicit land-change models. Ecological Modelling, 179(4): 445鈥?61.CrossRef
  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鈥?79.CrossRef
  Rounsevell M D A, Reginster I, Ara煤jo M B et al., 2006. A coherent set of future land use change scenarios for europe. Agriculture, Ecosystems & Environment, 114(1): 57鈥?8.CrossRef
  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鈥?051.CrossRef
  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鈥?): 65鈥?1.CrossRef
  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鈥?48.CrossRef
  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鈥?97.CrossRef
  V谩clav铆k T., Lautenbach S., Kuemmerle T. et al., 2013. Mapping global land system archetypes. Global Environmental Change, 23(6): 1637鈥?647.CrossRef
  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鈥?667.CrossRef
  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鈥?375.CrossRef
  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鈥?70.CrossRef
  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鈥?37.CrossRef
  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鈥?89.CrossRef
  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鈥?73.CrossRef
  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鈥?24.CrossRef
  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鈥?6.CrossRef
  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鈥?05.CrossRef
  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鈥?00.CrossRef
  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鈥?): 378鈥?90.CrossRef
  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鈥?785.CrossRef
  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鈥?.CrossRef
  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鈥?585.CrossRef
  Yao Y, Ye L, Tang H et al., 2015. Cropland soil organic matter content change in Northeast China, 1985鈥?005. Open Geosciences, 7(1), 234鈥?43.
  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鈥?1.CrossRef
  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鈥?81.
  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鈥?74.CrossRef
  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鈥?16.CrossRef
  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鈥?1.CrossRef
  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鈥?38.CrossRef
  
• 作者单位：Tian Xia (1) (2)
  Wenbin Wu (1) (2)
  Qingbo Zhou (2)
  Peter H. Verburg (3)
  Qiangyi Yu (2)
  Peng Yang (2)
  Liming Ye (4) (5)
  
  1. Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province / College of Urban & Environmental Sciences, Central China Normal University, Wuhan, 430079, China
  2. Key Laboratory of Agri-Informatics, Ministry of Agriculture / Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
  3. Institute for Environmental Studies, VU University Amsterdam, de Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
  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
  5. Department of Geology and Soil Sciences (WE13), Ghent University, 9000, Gent, Belgium
  
• 刊物主题：Physical Geography; Nature Conservation; Geographical Information Systems/Cartography; Remote Sensing/Photogrammetry;
• 出版者：Springer Berlin Heidelberg
• ISSN：1861-9568

文摘

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鈥?010 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鈥?000, 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鈥?010. 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. Keywords land use change CLUE-S Northeast China two-way simulation