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Impacts of socioeconomic factors on cropland transition and its adaptation in Beijing, China

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Abstract

Over the past decades, croplands in China experienced rapid losses as a result of nationwide urbanization, industrialization, socioeconomic development, and implementation of ecological projects. These developments were driven by continuous economic reforms and environmental protection policies. Croplands are precious land resources influenced by overpopulation in China. Cropland losses threaten national food security. This study analyzed spatial patterns of cropland changes, driving forces, and its adaptation. Object-based approach was adopted to accurately measure cropland changes using remote sensing data. Conversion matrix and statistical regression model were used to explore impacts of socioeconomic factors on cropland changes. A case study on Beijing revealed that cropland in Beijing decreased by 47% in the past 35 years. Primary driving forces in cropland loss included urban expansion, implementation of ecological projects, orchard plantation, and water resource protection. Increased migration and economic development resulted in urban expansion. To promote sustainable development and to meet demands of urban and environmental protection, cropland adaptation was performed by increasing value-added commercial crop plantation, improving crop yield, and reducing cultivation intensity for effective water consumption.

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References

  • Blaschke T (2010) Object based image analysis for remote sensing. ISPRS J Photogramm Remote Sensing 65:2–16

    Article  Google Scholar 

  • Clem T (2009) Economic reform and openness in China: China’s development policies in the last 30 years. Econ Anal Policy 39:271–294

    Article  Google Scholar 

  • Cremene C, Groza G, Rakosy L, Schileyko AA, Baur A, Erhardt A, Baur B (2005) Alterations of steppe-like grasslands in eastern europe: a threat to regional biodiversity hotspots. Conserv Biol 19:1606–1618

    Article  Google Scholar 

  • Deng JS, Wang K, Yang H, Jia GQ (2009) Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization. Landscape Urban Planning 92:187–198

    Article  Google Scholar 

  • Drummond MA, Auch RF, Karstensen KA, Sayler KL, Taylor JL, Loveland TR (2012) Land change variability and human–environment dynamics in the United States Great Plains. Land Use Policy 29(3):710–723

    Article  Google Scholar 

  • Gao B, Liu W, Michael D (2014) State land policy, land markets and geographies of manufacturing: the case of Beijing, China. Land Use Policy 36:1–12

    Article  Google Scholar 

  • Grekousis G, Mountrakis G (2015) Sustainable development under population pressure: lessons from developed land consumption in the conterminous U.S. Plos One 10(3):e0119675

    Article  Google Scholar 

  • Hietel E, Waldhardt R, Otte A (2004) Analysing land-cover changes in relation to environmental variables in Hesse. Germany Landsc Ecol 19:473–489

    Article  Google Scholar 

  • Hietel E, Waldhardt R, Otte A (2007) Statistical modeling of land-cover changes based on key socio-economic indicators. Ecol Econ 62:496–507

    Article  Google Scholar 

  • Hu CX, Fu BJ, Chen LD, Gulinck H (2006) Farmer’s attitudes towards the Grain-for-Green programme in the Loess hilly area, China: a case study in two small catchments. Int J Sustain Dev World Ecol 13:211–220

    Article  Google Scholar 

  • Hunsaker CT, Levine DA (1995) Hierarchical approaches to the study of water quality in rivers. Bioscience 45:193–203

    Article  Google Scholar 

  • Lambert J, Drenou C, Denux J, Balent G, Cheret V (2013) Monitoring forest decline through remote sensing time series analysis. GISci Remote Sensing 50:437–457

    Article  Google Scholar 

  • Lambin EF, Meyfroidt P (2011) Global land use change, economic globalization, and the looming land scarcity. Proc Natl Acad Sci 108(9):3465–3472

    Article  Google Scholar 

  • Li Y, Chen C, Wang Y, Liu Y (2014) Urban-rural transformation and farmland conversion in China: the application of the environmental Kuznets Curve. J Rural Stud 36:311–317

    Article  Google Scholar 

  • Liu X, Wang J, Liu M, Meng B (2005) Spatial heterogeneity of the driving forces of cropland change in China. Science in China Ser D Earth Sciences 48(12):2231–2240

    Article  Google Scholar 

  • Luo J, Wei DYH (2009) Modeling spatial variations of urban growth patterns in Chinese cities: the case of Nanjing. Landsc Urban Plan 91(2):51–64

    Article  Google Scholar 

  • Moreira F, Russo D (2007) Modelling the impact of agricultural abandonment and wildfires on vertebrate diversity in Mediterranean Europe. Landscape Ecol 22:1461–1476

    Article  Google Scholar 

  • Muller D, Kuemmerle T, Rusu M, Griffiths P (2009) Lost in transition: determinants of post-socialist cropland abandonment in Romania. J Land Use Sci 4(1–2):109–129

    Article  Google Scholar 

  • Palang H, Printsmann A, Gyuro EK, Urbanc M, Skowronek E, Woloszyn W (2006) The forgotten rural landscapes of central and eastern Europe. Landscape Ecol 21:347–357

    Article  Google Scholar 

  • Penov I (2004) The use of irrigation water in Bulgaria’s Plovdiv region during transition. Environ Manage 34:304–313

    Article  Google Scholar 

  • Peterson TA, Ortega MA, Bartley J, Sanchez V, Soberon J, Buddemeier RH, Stockwell DRB (2001) Future projections for Mexican faunas under global climate change scenarios. Nature 416:626–629

    Article  Google Scholar 

  • Rey Benayas J, Martins A, Nicolau JM, Schulz JJ (2007) Abandonment of agricultural land: an overview of drivers and consequences. CAB Rev 2(57):1–14

    Article  Google Scholar 

  • Seto KC, Kaufmann RK (2003) Modeling the drivers of urban land use change in the Pearl River Delta, China: integrating remote sensing with socioeconomic data. Land Econ 79(1):106–121

    Article  Google Scholar 

  • Shi X, Wang W, Shi W (2016) Progress on quantitative assessment of the impacts of climate change and human activities on cropland change. J Geogr Sci 26(3):339–354

    Article  Google Scholar 

  • Song W, Pijanowski BC (2014) The effects of China’s cultivated land balance program on potential land productivity at a national scale. Appl Geogr 46:158–170

    Article  Google Scholar 

  • Stanchi S, Freppaz M, Agnelli A, Reinsch T, Zanini E (2012) Properties: best management practices and conservation of terraced soils in Southern Europe (from Mediterranean areas to the Alps): a review. Quat Int 265:90–100

    Article  Google Scholar 

  • Tan M, Li X, Xie H, Lu C (2005) Urban land expansion and arable land loss in China—a case study of Beijing—Tianjin—Hebei region. Land Use Policy 22:187–196

    Article  Google Scholar 

  • Tasser E, Mader M, Tappeiner U (2003) Effects of land use in Alpine grasslands on the probability of landslides. Basic Appl Ecol 4:271–280

    Article  Google Scholar 

  • Tian G, Liu J, Xie Y, Yang Z, Zhuang D, Niu Z (2005) Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS. Cities 22(6):400–410

    Article  Google Scholar 

  • Velazquez A, Duran E, Ramirez I, Mas J, Bocco G, Ramirez G, Palacio J (2003) Land use-cover change processes in highly biodiverse areas: the case of Oaxaca, Mexico. Glob Environ Change 13:175–184

    Article  Google Scholar 

  • Wang H, Wei J, Wu G (2007) Impacts of socio-economic policies on agriculture in the mountainous upland of the Dalinghe river watershed, Northeast China. Int J Agric Sustain 5(4):331–342

    Article  Google Scholar 

  • Wu Q, Li H, Wang R, Paulussen J, He Y, Wang M, Wang B, Wang Z (2006) Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landsc Urban Plan 78:322–333

    Article  Google Scholar 

  • Xiao Y, Mignolet C, Mari JF, Beno M (2015) Characterizing historical (1992–2010) transitions between grassland and cropland in mainland France through mining land-cover survey data. J Integr Agric 14(8):1511–1523

    Article  Google Scholar 

  • Xie Y, Yu M, Tian G, Xing X (2005) Socio-economic driving forces of arable land conversion: a case study of Wuxian City, China. Glob Environ Change 15:238–252

    Article  Google Scholar 

  • Xu YQ, McNamara P, Wu YF, Dong Y (2013) An econometric analysis of changes in arable land utilization using multinomial logit model in Pinggu district, Beijing, China. J Environ Manage 128:324–334

    Article  Google Scholar 

  • Yu Q, Gong P, Clinton N, Biging G, Kelly M, Schirokauer D (2006) Object based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogramm Eng Remote Sens 72(7):799–811

    Article  Google Scholar 

  • Zhang L, Wu B, Zhu L, Wang P (2012) Patterns and driving forces of cropland changes in the Three Gorges Area, China. Reg Environ Change 12:765–776

    Article  Google Scholar 

  • Zhang Y, Li C, Wang T, Cai C, Bao Y (2015) County-level patterns of cropland and their relationships with socio-economic factors in northwestern China. Agric Ecosyst Environ 203:11–18

    Article  Google Scholar 

  • Zhou D, Zhao S, Zhu C (2012) The Grain for Green Project induced land cover change in the Loess Plateau: a case study with Ansai County, Shanxi Province, China. Ecol Ind 23:88–94

    Article  Google Scholar 

Download references

Acknowledgements

This research was funded by the national key research Project (2017YFC0405802. 2016YFC0500806), Beijing Scientific and Technological Program (Z141100000614001), National Natural Science Foundation of China (41371361), the “Strategic Priority Research Program—Climate Change: Carbon Budget and Related Issues” of the Chinese Academy of Sciences (XDA05050109).

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Correspondence to Lei Zhang.

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Zhang, L., Lu, D., Li, Q. et al. Impacts of socioeconomic factors on cropland transition and its adaptation in Beijing, China. Environ Earth Sci 77, 575 (2018). https://doi.org/10.1007/s12665-018-7740-8

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  • DOI: https://doi.org/10.1007/s12665-018-7740-8

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