Skip to main content
SpringerLink
Log in

Spatially Explicit Land-Use and Land-Cover Scenarios for China

  • Chapter
  • First Online:
Land Use Impacts on Climate

Part of the book series: Springer Geography ((SPRINGERGEOGR))

  • 1313 Accesses

Abstract

In climate modeling, land use data is applied as underlying surfaces and definitively determines the simulation results of regional climate. Researches show that Land Use and Cover Change (LUCC) not only affects the terrestrial ecosystem biodiversity, energy balance, water cycle, but also exerts influence on climate and social economy (Berg et al. 2010; Liu and Diamond 2005). Besides, LUCC is a significant performance of material and energy interactions between human and global environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    For more imformation: http://edcdaac.usgs.gov/modis/mod12q1v4.asp.

  2. 2.

    For more imformation: (http://www.gem.jrc.it/glc2000).

  3. 3.

    For more imformation: (http://westdc.westgis.ac.cn).

  4. 4.

    For more imformation: (http://www.landcover.org).

References

  • Ahlqvist O (2008) Extending post-classification change detection using semantic similarity metrics to overcome class heterogeneity: a study of 1992 and 2001 US National Land Cover Database changes. Remote Sens Environ 112(3):1226–1241

    Google Scholar 

  • Bartholomé E, Belward A (2005) GLC2000: a new approach to global land cover mapping from earth observation data. Int J Remote Sens 26(9):1959–1977

    Google Scholar 

  • Berg A, Papageorgiou C, Pattillo CA, Spatafora N (2010) The end of an era? the medium-and long-term effects of the global crisis on growth in low-income countries. IMF Working Papers, pp 1–29

    Google Scholar 

  • Brenkert AL, Smith A, Kim SH, Pitcher HM (2003) Model documentation for the MiniCAM. Pacific Northwest National Laboratory, Richland, WA

    Google Scholar 

  • Chen J, Jönsson P, Tamura M, Gu Z, Matsushita B, Eklundh L (2004) A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter. Remote sens Environ. 91(3):332–344

    Google Scholar 

  • Defries R, Townshend J (1994) NDVI-derived land cover classifications at a global scale. Int J Remote Sens 15(17):3567–3586

    Google Scholar 

  • Deng X., Su H, Zhan J (2008) Integration of multiple data sources to simulate the dynamics of land systems. Sensors 8(2):620–634

    Google Scholar 

  • Dong J, Xu X (2009) Land use change especially alternations of farming and grazing in typical agro-pastoral transitional zone in 1988–2000: a case study in Chifeng City of inner Mongolia. J Geo-Inf Sci 4:003

    Google Scholar 

  • Friedl MA, Mciver DK, Hodges JC, Zhang X, Muchoney D, Strahler AH, et al (2002) Global land cover mapping from MODIS: algorithms and early results. Remote Sens Environ 83(1):287–302

    Google Scholar 

  • Gao H, Jia G (2012) Spatial and quantitative comparison of satellite-derived land cover products over china. Atmos Oceanic Sci Lett 5(5):426–434

    Google Scholar 

  • Ge J, Qi J, Lofgren BM, Moore N, Torbick N, Olson JM (2007) Impacts of land use/cover classification accuracy on regional climate simulations. J Geophys Res: Atmos (1984–2012) 112(D5):D05107

    Google Scholar 

  • Geist HJ, Lambin EF (2002) Proximate causes and underlying driving forces of tropical deforestation: tropical forests are disappearing as the result of many pressures, both local and regional, acting in various combinations in different geographical locations. BioSci 52(2):143–150

    Google Scholar 

  • Ghose M, Pradhan R, Ghose SS (2010) Decision tree classification of remotely sensed satellite data using spectral separability matrix. Int J Adv Comput Sci Appl 1(5):93–101

    Google Scholar 

  • Gong P (2009) Accuracy evaluation of the global land cover based on the global flux observation sites. Progr Nat Sci 19:754–759 (In Chinese)

    Google Scholar 

  • Hasselmann F, Csaplovics E, Falconer I, Bürgi M, Hersperger AM (2010) Technological driving forces of LUCC: conceptualization, quantification, and the example of urban power distribution networks. Land Use Policy 27(2):628–637

    Google Scholar 

  • Hibbard K, Janetos A, Van Vuuren DP, Pongratz J, Rose SK, Betts R, et al (2010) Research priorities in land use and land-cover change for the Earth system and integrated assessment modelling. Int J Climatol 30(13):2118–2128

    Google Scholar 

  • Jiang L, Deng X, Seto KC (2013) The impact of urban expansion on agricultural land use intensity in China. Land Use Policy 35:33–39

    Google Scholar 

  • Kaptué Tchuenté AT, Roujean J-L, De Jong SM (2011) Comparison and relative quality assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP land cover data sets at the African continental scale. Int J Appl Earth Obs Geoinf 13(2):207–219

    Google Scholar 

  • Lin B, Liu J (2010) Estimating coal production peak and trends of coal imports in China. Energy Policy 38(1):512–519

    Google Scholar 

  • Liu J, Diamond J (2005) China’s environment in a globalizing world. Nature 435(7046):1179–1186

    Google Scholar 

  • Liu J, Liu M, Zhuang D, Zhang Z, Deng X (2003) Study on spatial pattern of land-use change in China during 1995–2000. Sci China, Series D: Earth Sci 46(4):373–384

    Google Scholar 

  • Liu J, Liu M, Tian H, Zhuang D, Zhang Z, Zhang W, et al (2005) Spatial and temporal patterns of China’s cropland during 1990–2000: an analysis based on Landsat TM data. Remote Sens Environ 98(4):442–456

    Google Scholar 

  • Liu J, Gao J, Geng B, Wu L (2007) Study on the dynamic change of land use and landscape pattern in the farming—pastoral region of Northern China. Res Environ Sci 20(5):148–154 (in Chinese)

    Google Scholar 

  • Liu Y, Wang J, Deng X (2008) Rocky land desertification and its driving forces in the karst areas of rural Guangxi, Southwest China. J Mt Sci 5(4):350–357

    Google Scholar 

  • Liu W, Lund H, Mathiesen BV, Zhang X (2011) Potential of renewable energy systems in China. Applied Energy. 88(2):518–525

    Google Scholar 

  • Lutz W, Samir K (2010) Dimensions of global population projections: what do we know about future population trends and structures? Philos Trans Roy Soc B: Biol Sci 365(1554):2779–2791

    Google Scholar 

  • Munroe DK, Müller D (2007) Issues in spatially explicit statistical land-use/cover change (LUCC) models: examples from western Honduras and the Central Highlands of Vietnam. Land use policy 24(3):521–530

    Article  Google Scholar 

  • Northam RM (1971) Vacant urban land in the American city. Land Econ 47(4):345–355

    Google Scholar 

  • Patarasuk R, Binford MW (2012) Longitudinal analysis of the road network development and land-cover change in Lop Buri province, Thailand, 1989–2006. App Geogr 32(2):228–239

    Google Scholar 

  • Ran Y, Li X, Lu L, Li Z (2012) Large-scale land cover mapping with the integration of multi-source information based on the Dempster-Shafer theory. Int J Geogr Inf Sci 26(1):169–191

    Google Scholar 

  • Samir K, Barakat B, Goujon A, Skirbekk V, Sanderson W, Lutz W (2010) Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005–2050. Demogr Res 22(15):383–472

    Google Scholar 

  • Sertel E, Robock A, Ormeci C (2010) Impacts of land cover data quality on regional climate simulations. Int J Climatol 30(13):1942–1953

    Google Scholar 

  • Simard M, Saatchi SS, Grandi GD (2010) The use of decision tree and multi-scale texture for classification of JERS-1 SAR data over tropical forest. IEEE Trans Geosci Remote Sens 38(5):2310–2321

    Google Scholar 

  • Veldkamp A, Fresco L (1996) CLUE: a conceptual model to study the conversion of land use and its effects. Ecol Model 85(2):253–270

    Google Scholar 

  • Verburg P, De Koning G, Kok K, Veldkamp A, Bouma J (1999) A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecol Model 116(1):45–61

    Google Scholar 

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

    Google Scholar 

  • Wigley T, Raper S (1992) Implications for climate and sea level of revised IPCC emissions scenarios. Nature 357(6376):293–300

    Google Scholar 

  • Yin RS, Xiang Q, Xu JT, Deng XZ (2010) Modeling the driving forces of the land use and land cover changes along the Upper Yangtze River of China. Environ Manage 45(3):454–465

    Google Scholar 

  • Zhao H, Uchida E, Deng X, Rozelle S (2011) Do trees grow with the economy? a spatial analysis of the determinants of forest cover change in Sichuan, China. Environ Res Econ 50(1):61–82

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China

    Feng Wu

  2. School of Soil and Water Conservation, Beijing Forestry University, Beijing, 100038, China

    Qun’ou Jiang

  3. Faculty of Resources and Environmental Science, Hubei University, Wuhan, 430062, China

    Yongwei Yuan

  4. School of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan, 430074, China

    Qian Xu & Xing Li

Authors
  1. Feng Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qun’ou Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yongwei Yuan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Qian Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Feng Wu .

Editor information

Editors and Affiliations

  1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

    Xiangzheng Deng

  2. Department of Geography, Texas A & M University, College Station, Texas, USA

    Burak Güneralp

  3. School of Environment, Beijing Normal University, Beijing, China

    Jinyan Zhan

  4. Department of Environmental Engineering, Texas A & M University-Kingsville, Kingsville, Texas, USA

    Hongbo Su

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Wu, F., Jiang, Q., Yuan, Y., Xu, Q., Li, X. (2014). Spatially Explicit Land-Use and Land-Cover Scenarios for China. In: Deng, X., Güneralp, B., Zhan, J., Su, H. (eds) Land Use Impacts on Climate. Springer Geography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54876-5_3

Download citation

Publish with us

Policies and ethics

Search

Navigation