Adaptive land-use management in dynamic ecological system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5484 LNCS, Issue , 2009, Pages 152-161

  Jin, Nanlin ^a   Chapman, Daniel S ^b   Hubacek, Klaus ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

Author keywords

Dynamic optimization; Genetic algorithms

Indexed keywords

BIOLOGICAL ENVIRONMENTS; DYNAMIC OPTIMIZATION; ECOLOGICAL SYSTEMS; LAND-USE DECISIONS; LAND-USE MANAGEMENT; LAND-USE STRATEGIES; STUDY SITES;

COMPUTER SCIENCE; LAND USE; LANDFORMS;

EVOLUTIONARY ALGORITHMS;

EID: 67650679581     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01129-0_19     Document Type: Conference Paper

References (24)

1. CAP, Single payment scheme - overview. Technical report, Department for Environment, Food and Rural Affairs, UK (November 2, 2004)
2. Bautista, R.M.: Intertemporal optimization in an agrarian model with z-activities. Metroeconomica 26(1-3) 200, 215 (1974)
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)
4. Chirichiello, G.: Intertemporal macroeconomic models, money and rational choices. Macmillan, Basingstoke (2000)
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) (Pubitemid 127663345)
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) (Pubitemid 28314333)
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) (Pubitemid 46628456)
8. Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press (1975)
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)
10. Hudson, P.J., Dobson, A.P., Newborn, D.: Population cycles and parasitism. Science 286, 2425 (1999)
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)
12. Jin, Y., Branke, J.: Evolutionary optimization in uncertain environments-a survey. IEEE Trans. Evolutionary Computation 9(3), 303-317 (2005) (Pubitemid 40871134)
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)
14. Prell, C., Reed, M.S., Hubacek, K.: Social network analysis and stakeholder analysis for natural resource management. Society and Natural Resources (forthcoming, 2007)
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) (Pubitemid 43188855)
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) (Pubitemid 38908462)
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)
18. Dykstra, D.P.: Mathematical programming for natural resource management. McGraw- Hill, New York (1984)
19. Hudson, P.J.: Grouse in space and time: the population biology of a managed gamebird. Game Conservancy, Fordingbridge (1992)
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)
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)
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)
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)
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)