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Modeling Land Use Change: A GIS Based Modeling Framework to Support Integrated Land Use Planning (NabanFrame)

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Monoculture rubber plantations replace traditional land use systems in subtropical south west China. This land use change intensified since 1990 and reduced natural diversity. Planning authorities need spatially explicit information for sustainable land use planning.

We developed an integrated modeling cluster to provide decision support for planning authorities. Our definition of an integrated modeling framework was to apply and coordinate agro-economic, ecological and social models which altogether interact with a land allocation model via defined interfaces (no dynamic coupling). Data sources were remote sensing data, data from geographic information systems (GIS), questionnaires, narrative interviews, and ecological field surveys. We conducted GIS analysis (Euclidian distance, Euclidian allocation, focal mean, map algebra) to reference originally non-spatial information to spatial units. The baseline scenario based on the location factors elevation, distance to villages and available labor. We allowed land use change to occur only in regions outside nature protection zones. Villages served as spatial reference (and thus interface) for social information, farm types as spatial reference for agro-economic information.

The result of the modeling framework was a map of land use change for the baseline scenario (2001–2007). Model results showed that rubber covered nearly the whole area that is below the rubber growing limit of 1200 meters in the year 2007. Fields concentrated on the western part of the study area where rubber growing is not possible.

We showed that it was possible to integrate from various sources into a decision support tool. The value of the approach was that all data were referenced to spatial entities. The modeling framework provided land use maps and evaluated the implications of land use change from a social, agro-economic and ecological point of view. Planning authorities can use the results to conduct sustainable land use planning.

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References

  • Borowski I. & Hare M. (2007) Exploring the gap between water managers and researchers: Difficulties of model-based tools to support practical water management. Water Resources Management 21: 1049–1074.

    Article  Google Scholar 

  • Centre national d’études spatiales (CNES) (2001) Landsat 7 Enhanced Thematic Mapper Plus (ETM+), acquisition date 12.01.2001.

    Google Scholar 

  • Claessens L., Schoorl J. M., Verburg P. H., Geraedts L. & Veldkamp A. (2009) Modelling interactions and feedback mechanisms between land use change and landscape processes. Agriculture Ecosystems & Environment 129: 157–170.

    Article  Google Scholar 

  • European Space Imaging (EUSI) (2007) IKONOS Geo, acquisition dates 16.11.2007/02.12.2007

    Google Scholar 

  • Fang L. & Nuppenau E.-A. (2004) A Spatial Model (SWAM) for Water Efficiency and Irrigation Technology Choices using GAMS - A Case Study from Northwestern China. In: 7th Annual Conference on Global Economic Analysis, The World Bank, Washington, 07.-09.06.2004, https://www.gtap.agecon.purdue.edu/resources/download/1790.pdf.

    Google Scholar 

  • Fu Y. N., Guo H. J., Chen A. G. & Cui J. Y. (2006) Household differentiation and on-farm conservation of biodiversity by indigenous households in Xishuangbanna, China. Biodiversity and Conservation 15: 2687–2703.

    Article  Google Scholar 

  • Janssen M. A., Goosen H. & Omtzigt N. (2006) A simple mediation and negotiation support tool for water management in the Netherlands. Landscape and Urban Planning 78: 71–84.

    Article  Google Scholar 

  • Jarvis A., Reuter H. I., Nelson A. & Guevara E. (2006) Hole-filled seamless SRTM data V3. International Centre for Tropical Agriculture (CIAT).

    Google Scholar 

  • Lambin E. F. (1997) Modelling and monitoring land-cover change processes in tropical regions. Progress in Physical Geography 21: 375–393.

    Article  Google Scholar 

  • Lambin E. F., Turner B. L., Geist H. J., Agbola S. B., Angelsen A., Bruce J. W., Coomes O. T., Dirzo R., Fischer G., Folke C., George P. S., Homewood K., Imbernon J., Lee-mans R., Li X. B., Moran E. F., Mortimore M., Ramakrishnan P. S., Richards J. F., Skanes H., Steffen W., Stone G. D., Svedin U., Veldkamp T. A., Vogel C. & Xu J. C. (2001) The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change-Human and Policy Dimensions 11: 261–269.

    Article  Google Scholar 

  • Li H. M., Aide T. M., Ma Y. X., Liu W. J. & Cao M. (2007) Demand for rubber is causing the loss of high diversity rain forest in SW China. Biodiversity and Conservation 16: 1731–1745.

    Article  Google Scholar 

  • McCarthy J. J., Canziani O. F., Leary N. A., Dokken D. J. & White K. S. eds. (2007) Climate Change 2007 – Impacts, Adaptation and Vulnerability (Contribution of Working Group II to the Fourth Assessment Report of the IPCC). Cambridge University Press, also available online: http://www.ipcc.ch/ipccreports/ar4-wg2.htm.

  • McGarigal K. & Marks B. J. (1995) Fragstats: spatial pattern analysis program for quantifying landscape structure, Portland, OR, USA.

    Google Scholar 

  • Mottet A., Ladet S., Coque N. & Gibon A. (2006) Agricultural land-use change and its drivers in mountain landscapes: A case study in the Pyrenees. Agriculture Ecosystems & Environment 114: 296–310.

    Article  Google Scholar 

  • Myers N., Mittermeier R. A., Mittermeier C. G., da Fonseca G. A. B. & Kent J. (2000) Biodiversity hotspots for conservation priorities. Nature 403: 853–858.

    Article  Google Scholar 

  • Pettit C. & Pullar D. (2004) A way forward for land-use planning to chieve policy goals by using spatial modeling scenarios. Environment and Planning B: Planning and Design 31: 213–233.

    Article  Google Scholar 

  • Sante-Riveira I., Crecente-Maseda R. & Miranda-Barros D. (2008) GIS-based planning support system for rural land-use allocation. Computers and Electronics in Agriculture 63: 257–273.

    Article  Google Scholar 

  • Shiro C., Furtad J. I., Shen L. X. & Yan M. (2007) Coping with pressures of modernization by traditional farmers: A strategy for sustainable rural development in Yunnan, China. Journal of Mountain Science 4: 57–70.

    Article  Google Scholar 

  • Sklenicka P. & Salek M. (2008) Ownership and soil quality as sources of agricultural land fragmentation in highly fragmented ownership patterns. Landscape Ecology 23: 299–311.

    Article  Google Scholar 

  • Stillwell J., Geertman S. & Openshaw S. (1999) Developments in geographical information and planning. In: Geographical Information and Planning (eds. J. Stillwell, S. Geertman & S. Openshaw) pp. 3–23. Springer, Berlin.

    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: 253–270.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Verburg P. H., Soepboer W., Veldkamp A., Limpiada R., Espaldon V. & Mastura S. S. A. (2002) Modeling the spatial dynamics of regional land use: The CLUE-S model. Environmental Management 30: 391–405.

    Article  Google Scholar 

  • Verburg P. H. & 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 

  • Watson R. T., Noble I. R., Bolin B., Ravindranath N. H., Verardo D. J. & (Eds.) D. J. D. eds. (2000) IPCC Special Report on land use, land-use change and forestry. Cambridge University Press, also available online: http://www.ipcc.ch/ipccreports/sres/land_use/index.htm.

  • Wu Z.-L., Liu H.-M. & Liu L.-Y. (2001) Rubber cultivation and sustainable development in Xishuangbanna, China. The international journal of sustainable development and world ecology 8: 337–345.

    Article  Google Scholar 

  • Xu J. C. (2006) The political, social, and ecological transformation of a landscape - The case of rubber in Xishuangbanna, China. Mountain Research and Development 26: 254–262.

    Article  Google Scholar 

  • Xu J. C., Ma E. T., Tashi D., Fu Y. S., Lu Z. & Melick D. (2005) Integrating sacred knowledge for conservation: Cultures and landscapes in southwest China. Ecology and Society 10: -.

    Google Scholar 

  • Xu W., Shirasaka S. & Ichikawa T. (1990) Farming system and settlements in Xishuangbanna, Yunnan province, China. Geographical Review of Japan 62 (Series B): 104–165.

    Google Scholar 

Download references

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Correspondence to Karin Berkhoff .

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© 2009 Springer-Verlag Berlin Heidelberg

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Berkhoff, K., Herrmann, S. (2009). Modeling Land Use Change: A GIS Based Modeling Framework to Support Integrated Land Use Planning (NabanFrame). In: Sester, M., Bernard, L., Paelke, V. (eds) Advances in GIScience. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00318-9_16

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