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Land Use and Land Cover Change Analysis and Prediction in the Upper Reaches of the Minjiang River, China

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Abstract

Scientists have aimed at exploring land use and land cover change (LUCC) and modeling future landscape pattern in order to improve our understanding of the causes and consequences of these phenomena. This study addresses LUCC in the upper reaches of Minjiang River, China, from 1974 to 2000. Based on remotely sensed images, LUCC and landscape pattern change were assessed using cross-tabulation and landscape metrics. Then, using the CLUE-S model, changes in area of four types of land cover were predicted for two scenarios considering forest polices over the next 20 years. Results showed that forestland decreased from 1974 to 2000 due to continuous deforestation, while grassland and shrubland increased correspondingly. At the same time, the farmland and settlement land increased dramatically. Landscape fragmentation in the study area accompanied these changes. Forestland, grassland, and farmland take opposite trajectories in the two scenarios, as does landscape fragmentation. LUCC has led to ecological consequences, such as biodiversity loss and lowering of ecological carrying capacity.

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References

  • Adams WM (1990) Green development. Routledge, London

    Google Scholar 

  • Angelsen A, Kaimowitz D (1999) Rethinking the causes of deforestation: lessons from economic models. World Bank Observer 14:73–98

    CAS  Google Scholar 

  • Blaikie P (1985) The political economy of soil erosion. Longman, London

    Google Scholar 

  • Blaikie P, Brookfield H (1987) Land degradation and society. Methuen, London

    Google Scholar 

  • Brandt J, Primdahl J, Reenberg A (1999) Rural land-use and dynamic forces—analysis of ‘driving forces’ in space and time. In: Kranert R, Baudry J, Bowler IR, Reenberg A (eds) Land-use changes and their environmental impact in rural areas in Europe. UNESCO, Paris

    Google Scholar 

  • Brown DG, Pijanowski BC, Duh JD (2000) Modelling the relationships between land use and land cover on private lands in the Upper Midwest, USA. Journal of Environmental Management 59:247–263

    Article  Google Scholar 

  • Bürgi M, Hersperger AM, Schneeberger N (2004) Driving forces of landscape change—current and new directions. Landscape Ecology 19:857–868

    Article  Google Scholar 

  • Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37:35–46

    Article  Google Scholar 

  • Crews-Meyer KA (2002) Characterizing landscape dynamism using paneled-pattern metrics. Photogrammetric Engineering & Remote Sensing 68:1031–1040

    Google Scholar 

  • David T, Joseph F, Brian W, Carla D, Andrew D, Robert H, David S, William HS, Daniel S, Deborah S (2001) Forecasting agriculturally driven global environmental change. Science 292:281–284

    Article  Google Scholar 

  • Ehlers M, Jadkowski MA, Howard RR, Brostuen DE (1990) Application of SPOT data for regional growth analysis and local planning. Photogrammetric Engineering and Remote Sensing 56:175–180

    Google Scholar 

  • Erb KH (2004) Actual land demand of Austria 1926–2000: a variation on ecological footprint assessments. Land Use Policy 21:247–259

    Article  Google Scholar 

  • Geist HJ, Lambin EF (2002) Proximate causes and underlying driving forces of tropical deforestation. Bioscience 52:43–50

    Article  Google Scholar 

  • Gessler PE, Moore ID, McKenzie NJ, Ryan PJ (1995) Soil-landscape modeling and spatial prediction of soil attributes. International Journal of GIS 9:421–432

    Google Scholar 

  • Goudie A, Viles H (1997) The Earth transformed—an introduction to human impacts on the environment. Blackwell, Oxford

    Google Scholar 

  • Harris PM, Ventura SJ (1995) The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogrammetric Engineering and Remote Sensing 61:993–998

    Google Scholar 

  • Hobbs R (1997) Future landscapes and the future of landscape ecology. Landscape and Urban Planning 37:1–9

    Article  Google Scholar 

  • Hu JC (2002) Diversity of terrestrial vertebrates in Minshan Mountains. Zoological Research 23:521–526 (in Chinese)

    Google Scholar 

  • Hu J, Li YH, Hu JC (2001) Preliminary report on mammal fauna of Huanglong natural reserve. Sichuan Journal of Zoology 20:128–131 (in Chinese)

    Google Scholar 

  • Jenness J (2006) Topographic position index (tpi_jen.avx) extension for arcview 3.x, v.1.3a. Jenness Enterprises. Available at: http://www.jennessent.com/arcview/tpi.htm

  • Jensen JR (1996) Introductory digital image processing: a remote sensing perspective, 2nd edn. Prentice-Hall, Englewood Cliffs, NJ

    Google Scholar 

  • Kilic S, Everendilek F, Berberoglu S, Demirkesen AC (2006) Environmental monitoring of land-cover change in a Mediterranean region of Turkey. Environmental Monitoring and Assessment 114:157–168

    Article  CAS  Google Scholar 

  • Lambin EF, Turner BL, Geist JS, Agbola SB, Angelsen A, Bruce JW, Coomes OT, Dirzo R, Fischer G, Folke C, George PS, Homewood K, Imbernon J, Leemans R, Li Xiubin, Moran EF, Mortimore M, Ramakrishnan PS, Richards JF, Skanes H, Steffen W, Stone GD, Svedin U, Veldkamp A, Vogel C, Xu Jianchu (2001) The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change 11:261–269

    Article  Google Scholar 

  • Lovett GM, Jones CG, Turner MG, Weathers KC (2005) Ecosystem function in heterogeneous landscapes. Springer-Verlag, NewYork

    Book  Google Scholar 

  • Mcgarigal K, Marks BJ (1995) Fragstats: spatial pattern analysis program for quantifying landscape structure. Gen. Tech. Report PNW-GTR-351. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR

    Google Scholar 

  • Miller EJ, Kriger DS, Hunt JD (1999) TCRP Web document 9: integrated urban models for simulation of transit and land-use policies: final report. University of Toronto Joint Program in Transportation and DELCAN Corporation, Toronto

    Google Scholar 

  • Parker DC, Manson SM, Janssen MA, Hoffman M, Deadman P (2003) Multi-agent systems for the simulation of land-use and land-cover change: a review. Annals of the Association of American Geographers 93:314–337

    Article  Google Scholar 

  • Pontius JRG, Schneider LC (2001) Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agriculture, Ecosystems & Environment 85:239–248

    Article  Google Scholar 

  • Pontius JRG, Shusas E, McEachern M (2004) Detecting important categorical land changes while accounting for persistence. Agriculture, Ecosystems & Environment 101:251–268

    Article  Google Scholar 

  • Schneider LC, Pontius RG (2001) Modeling land-use change in the Ipswich watershed, Massachusetts, USA. Agriculture, Ecosystems & Environment 85:83–94

    Article  Google Scholar 

  • Sichuan Forestry Bureau (1994) Sichuan forestry statistical yearbook 1994. Statistics Press

  • Thompson RC, Crowea TP, Hawkins SJ (2002) Rocky intertidal communities: past environmental changes, present status and predictions for the next 25 years. Environmental Conservation 29:168–191

    Article  Google Scholar 

  • Treitz PM, Howard PJ, Gong P (1992) Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: a case study. Photogrammetric Engineering and Remote Sensing 58:439–448

    Google Scholar 

  • Veldkamp A, Verburg PH, Kok K, Koning GHJ, Priess J, Bergsma AR (2001) The need for scale sensitive approaches in spatially explicit land use change modeling. Environmental Modeling and Assessment 6:111–121

    Article  Google Scholar 

  • Verburg PH, Veldkamp A (2004) Projecting land use transitions at forest fringes in the Philippines at two spatial scales. Landscape Ecology 19:77–98

    Article  Google Scholar 

  • Verburg PH, Soepboer W, Limpiada R, Espaldon MVO, Sharifa M, Veldkamp A (2002) Land use change modelling at the regional scale: the CLUE-S model. Environmental Management 30:391–405

    Article  Google Scholar 

  • Verburg PH, Schot P, Dijst M, Veldkamp A (2004) Land use change modelling: current practice and research priorities. GeoJournal 61:309–324

    Article  Google Scholar 

  • Wackernagel M, Rees WE (1996) Our ecological footprint: reducing human impact on the earth. New Society, Gabriola Island

    Google Scholar 

  • Wear DN, Bolstad P (1998) Land-use changes in southern Appalachian landscapes: spatial analysis and forecast evaluation. Ecosystems 1:575–594

    Article  Google Scholar 

  • Wiens JA (1995) Landscape mosaics and ecological theory. In: Hansson L, Fahrig L, Merriam G (eds) Mosaic landscapes and ecological processes. Chapman and Hall, London

    Google Scholar 

  • Wrbka T, Erbb KH, NielsSchulzb NB, Peterseila J, Hahna C, Haber H (2004) Linking pattern and process in cultural landscapes. An empirical study based on spatially explicit indicators. Land Use Policy 21:289–306

    Google Scholar 

  • Wu J, Hobbs R (2002) Key issues and research priorities in landscape ecology: an idiosyncratic synthesis. Landscape Ecology 17:355–365

    Article  Google Scholar 

  • Yeh AGO, Li X (1999) Economic development and agricultural land loss in the Pearl River Delta, China. Habitat International 23:373–390

    Article  Google Scholar 

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Acknowledgments

This project was supported by the National Basic Research Program of China, Mechanism of Forest Vegetation Regulating Agricultural Eco-environment in the Typical Regions of Western China (No. 2002CB111506), and the National Natural Science Foundation of China (No. 40801069).

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Authors and Affiliations

  1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, People’s Republic of China

    Miao Liu, Yuanman Hu, Yu Chang & Xinyuan He

  2. College of Soil and Environment, Shenyang Agricultural University, Shenyang, 110161, China

    Wei Zhang

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  1. Miao Liu
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  2. Yuanman Hu
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  3. Yu Chang
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  4. Xinyuan He
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  5. Wei Zhang
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Correspondence to Yuanman Hu.

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Liu, M., Hu, Y., Chang, Y. et al. Land Use and Land Cover Change Analysis and Prediction in the Upper Reaches of the Minjiang River, China. Environmental Management 43, 899–907 (2009). https://doi.org/10.1007/s00267-008-9263-7

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  • DOI: https://doi.org/10.1007/s00267-008-9263-7

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