Abstract
Island conservation management is a truly multidisciplinary problem that requires considerable knowledge of the characteristics of the ecosystem, species and their interactions. Nevertheless, this can be translated into an optimisation problem. Essentially, within a limited budget, a manager needs to select the conservation actions according to expected payoffs (in terms of protecting or restoring desired species) versus cost (the amount of resources/money) required for the actions. This paper presents the problem in terms of a knapsack formulation and develops optimisation techniques to solve it. From this, decision-support software is being developed, tailored to meet the needs of pest control on islands for conservation managers. The solver uses a Genetic Algorithm and incorporates a simplified model of the problem. The solver derives strategies that reduce the number of threats, allowing the preservation of desired species. However, the problem model needs further refinement to derive truly realistic options for conservation managers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Carwardine, J., O’Connor, T., Legge, S., Mackey, B., Possingham, H., Martin, T.: Prioritizing threat management for biodiversity conservation. Conservation Letters 5, 196–204 (2012)
Fernandes, L., Day, J., Kerrigan, B., Breen, D., De’ath, G., Mapstone, B., Coles, R., Done, T., Marsh, H., Poiner, I.: A process to design a network of marine no-take areas: lessons from the Great Barrier Reef. Ocean and Coastal Management 52, 439–447 (2009)
Frévilla, A.: The multidimensional 0-1 knapsack problem: An overview. European Journal of Operational Research 155(1), 1–21 (2004)
Goldberg, D.: Genetic algorithms in search, optimization and machine learning. Addison Wesley, Reading (1989)
Holland, J.: Outline for a logical theory of adaptive systems. Journal of the ACM 3, 297–314 (1962)
Mathews, G.: On the partition of numbers. Proceedings of the London Mathematical Society 28, 486–490 (1897)
Moilanen, A.: Landscape zonation, benefit functions and target-based planning: Unifying reserve selection strategies. Biological Conservation 4, 571–579 (2007)
Myers, J.: Eradication and pest management. Annual Review of Entomology 43, 471–491 (1998)
Pouzols, F., Burgman, M., Moilanen, A.: Methods for allocation of habitat management, maintenance, restoration and offsetting, when conservation actions have uncertain consequences. Biological Conservation 153, 41–50 (2012)
Pouzols, F., Moilanen, A.: Roboff: software for analysis of alternative land-use options and conservation actions. Methods in Ecology and Evolution 4, 426–432 (2013)
Pressey, R.: The first reserve selection algorithm - a retrospective on jamie kirkpatrick’s 1983 paper. Progress in Physical Geography 26, 434–441 (2002)
Pressey, R., Bottrill, M.: Approaches to landscape- and seascape-scale conservation planning: convergence, contrasts and challenges. Oryx 43, 464–475 (2009)
Pressey, R., Watts, M., Barrett, T., Ridges, M.: The C-Plan conservation planning system: origins, applications, and possible futures. In: Spatial conservation prioritization: Quantitative methods and computational tools, Oxford University Press, Oxford (2009)
Rebelo, A., Siegfried, W.: Where should nature reserves be located in the Cape Floristic Region, South Africa? Models for the spatial configuration of a reserve network aimed at maximizing the protection of floral diversity. Conservation Biology 6, 243–252 (1992)
Watts, M., Ball, I., Stewart, R., Klein, C., Wilson, K., Steinback, C., Lourival, R., Kircher, L., Possingham, H.: Marxan with zones: Software for optimal conservation based land- and sea-use zoning. Environmental Modelling & Software 24, 1513–1521 (2009)
Wilson, K., Underwood, E., Morrison, S., Klausmeyer, K., Murdoch, W., Reyers, B., Wardell-Johnson, G., Marquet, P., Rundel, P., McBride, M.: Conserving biodiversity efficiently: What to do, where, and when. PLoS Biology 5, 1850–1861 (2007)
Yokomizo, H., Possingham, H., Thomas, M., Buckley, Y.: Managing the impact of invasive species: The value of knowing the density-impact curve. Ecological Applications 19, 376–386 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Brotankova, J., Randall, M., Lewis, A., Pressey, B., Wenger, A. (2015). A Genetic Algorithm Solver for Pest Management Control in Island Systems. In: Chalup, S.K., Blair, A.D., Randall, M. (eds) Artificial Life and Computational Intelligence. ACALCI 2015. Lecture Notes in Computer Science(), vol 8955. Springer, Cham. https://doi.org/10.1007/978-3-319-14803-8_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-14803-8_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14802-1
Online ISBN: 978-3-319-14803-8
eBook Packages: Computer ScienceComputer Science (R0)