Skip to main content

Adaptive Land-Use Management in Dynamic Ecological System

  • Conference paper
  • 2067 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5484))

Abstract

UK uplands are significantly important in the economy and the environment. There is also a debate on how the banning of managed burning will affect the landscape of uplands. One difficulty in answering such a question comes from the fact that land-use management continuously adapts to dynamic biological environments, which in turn have many impacts on land-use decisions. This work demonstrates how evolutionary algorithms generate land-use strategies in dynamic biological environments over time. It also illustrates the influences on sheep grazing from banning managed burning in a study site.

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

Buying options

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 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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. CAP, Single payment scheme - overview. Technical report, Department for Environment, Food and Rural Affairs, UK (November 2, 2004)

    Google Scholar 

  2. Bautista, R.M.: Intertemporal optimization in an agrarian model with z-activities. Metroeconomica 26(1-3) 200, 215 (1974)

    Article  Google Scholar 

  3. Boatman, N., Ingram, J.D.J.: Agricultural change and environment observatory programme. Obs 2004. The environmental implications of the 2003 cap reforms in England. Technical report, Central Science Laboratory, York and Countryside and Community Research Unit, University of Gloucestershire (2006)

    Google Scholar 

  4. Chirichiello, G.: Intertemporal macroeconomic models, money and rational choices. Macmillan, Basingstoke (2000)

    Book  Google Scholar 

  5. Hayakama, H., Ishizawa, S.: The fundamentals of intertemporal optimization in the continuous time modelling of consumer behaviour. Japanese Economic Review 48(1), 101–112(12) (1997)

    Article  Google Scholar 

  6. Haygarth, P.M., Chapman, P.J., Jarvis, S.C., Smith, R.V.: Phosphorus budgets for two contrasting grassland farming systems in the uk. Soil Use and Management 14(4), 160–167 (1998)

    Article  Google Scholar 

  7. Holden, J., Shotbolt, L., Bonn, A., Burt, T.P., Chapman, P.J., Dougill, A.J., Fraser, E.D.G., Hubacek, K., Irvine, B., Kirkby, M.J., Reed, M.S., Prell, C., Stagl, S., Stringer, L.C., Turner, A., Worrall, F.: Environmental change in moorland landscapes. Earth Science Reviews 82, 75–100 (2007)

    Article  Google Scholar 

  8. Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press (1975)

    Google Scholar 

  9. Holland, J.H.: Adaptation in natural and artificial systems. An introductory analysis with applications to biology, control, and artificial intelligence, 2nd edn. MIT Press, Cambridge (1992)

    Google Scholar 

  10. Hudson, P.J., Dobson, A.P., Newborn, D.: Population cycles and parasitism. Science 286, 2425 (1999)

    Article  Google Scholar 

  11. Jin, N., Termansen, M., Hubacek, K., Holden, J., Kirkby, M.: Adaptive farming strategies for dynamic economic environments. In: Proceedings of the 2007 IEEE Congress on Evolutionary Computation. IEEE Press, Los Alamitos (2007)

    Google Scholar 

  12. Jin, Y., Branke, J.: Evolutionary optimization in uncertain environments-a survey. IEEE Trans. Evolutionary Computation 9(3), 303–317 (2005)

    Article  Google Scholar 

  13. Matthews, K.B., Craw, S., Elder, S., Sibbald, A.R., MacKenzie, I.: Applying genetic algorithms to multi-objective land use planning. In: Proceedings Genetic and Evolutionary Computation Conference (GECCO 2000), pp. 613–620. Morgan Kaufmann, San Francisco (2000)

    Google Scholar 

  14. Prell, C., Reed, M.S., Hubacek, K.: Social network analysis and stakeholder analysis for natural resource management. Society and Natural Resources (forthcoming, 2007)

    Google Scholar 

  15. Termansen, M., McClean, C.J., Preston, C.D.: The use of genetic algorithms and bayesian classification to model species distributions. Ecological Modelling 192, 410–424 (2006)

    Article  Google Scholar 

  16. Shaw, D.J., Haydon, D.T., Cattadori, I.M., Hudson, P.J., Thirgood, S.J.: The shape of red grouse cycles. Journal of Animal Ecology 73, 767–776 (2004)

    Article  Google Scholar 

  17. Sotherton, N.W., May, R., Ewald, J., Fletcher, K., Newborn, D.: Managing Uplands for Red Grouse. In: Managing Uplands for Game and Sporting Interest Conflicts and Changes. Moors for Future (2007)

    Google Scholar 

  18. Dykstra, D.P.: Mathematical programming for natural resource management. McGraw-Hill, New York (1984)

    Google Scholar 

  19. Hudson, P.J.: Grouse in space and time: the population biology of a managed gamebird. Game Conservancy, Fordingbridge (1992)

    Google Scholar 

  20. Liu, J., Dietz, T., Carpenter, S.R., Alberti, M., Folke, C., Moran, E., Pell, A.N., Deadman, P., Kratz, T., Lubchenco, J., Ostrom, E., Ouyang, Z., Provencher, W., Redman, C.L., Schneider, S.H., Taylor, W.W.: Complexity of coupled human-natural systems. Science 317, 1513–1516 (2007)

    Article  Google Scholar 

  21. Hobbs, R.J.: Length of burning rotation and community composition in high-level Calluna-Eriophorum bog in N. England. Vegetatio 57, 129–136 (1984)

    Article  Google Scholar 

  22. Thompson, D.B.A., MacDonald, A.J., Marsden, J.H., Galbraith, C.A.: Upland heather moorland in Britain: A review of international importance, vegetation change and some objectives for nature conservation. Biological Conservation 71, 163–178 (1995)

    Article  Google Scholar 

  23. Chapman1, D.S., et al.: Modelling the coupled dynamics of moorland management and vegetation in the UK uplands. Journal of applied ecology (to appear)

    Google Scholar 

  24. Sotherton, j.N.W., May, R., Ewald, J., Fletcher, K., Newborn, D.: Managing Uplands for Red Grouse. In: Managing Uplands for Game and Sporting Interest Conflicts and Changes. Moors for Future (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jin, N., Chapman, D.S., Hubacek, K. (2009). Adaptive Land-Use Management in Dynamic Ecological System. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01129-0_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics