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A Multi-objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning

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Evolutionary Multi-Criterion Optimization (EMO 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9019))

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Abstract

Biodiversity conservation has been since long an academic community concern, leading scientists to propose strategies to effectively meet conservation goals. In particular, Systematic Conservation Planning (SCP) aims to determine the most cost effective way of investing in conservation actions. SCP can be formalized by the Set-Covering Problem, which is NP-hard. SCP is inherently multi-objective, although it has been usually treated with a monobjective and static approach. Here, we propose a multi-objective solution for SCP, increasing its flexibility and complexity, and, at the same time, augmenting the quality of provided information, which reinforces decision-making. We used ensemble forecasting, considering future climate simulations to estimate species occurrence projected to 2080. Our method identifies sites: 1) of high priority for conservation; 2) with significant risk of investment; and, 3) that may become attractive in the future. To the best of our knowledge, this application to a real-world problem in ecology is the first attempt to apply multi-objective optimization to SCP associated to climate forecasting, in a dynamic spatial prioritization analysis for biodiversity conservation.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Brasilia, Brasilia, Brazil

    Shana Schlottfeldt & Maria Emilia Walter

  2. Department of Electronics, University of York, York, UK

    Shana Schlottfeldt & Jon Timmis

  3. Department of Computer Science, SCC-ICMC-USP, São Paulo, Brazil

    André Carvalho

  4. Institute of Biological Sciences, Federal University of Goiás, Goiânia, Brazil

    Lorena Simon, Rafael Loyola & José Alexandre Diniz-Filho

Authors
  1. Shana Schlottfeldt
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  2. Jon Timmis
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  3. Maria Emilia Walter
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  4. André Carvalho
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  5. Lorena Simon
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  6. Rafael Loyola
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  7. José Alexandre Diniz-Filho
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Corresponding author

Correspondence to Shana Schlottfeldt .

Editor information

Editors and Affiliations

  1. Institute for Polymers and Composites/I3N University of Minho Guimarães Portugal, Guimaraes, Portugal

    António Gaspar-Cunha

  2. Dept. of Electrical and Computer Engg, University of Coimbra, Coimbra, Portugal

    Carlos Henggeler Antunes

  3. CINVESTAV-IPN Depto. de Computacíon, Col. San Pedro Zacatenco, México DF, Mexico

    Carlos Coello Coello

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Schlottfeldt, S. et al. (2015). A Multi-objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning. In: Gaspar-Cunha, A., Henggeler Antunes, C., Coello, C. (eds) Evolutionary Multi-Criterion Optimization. EMO 2015. Lecture Notes in Computer Science(), vol 9019. Springer, Cham. https://doi.org/10.1007/978-3-319-15892-1_31

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  • DOI: https://doi.org/10.1007/978-3-319-15892-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15891-4

  • Online ISBN: 978-3-319-15892-1

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