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A tale of two diversities

Author

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  • Pierre Courtois

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - FRE2010 - INRA - Institut National de la Recherche Agronomique - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Charles Figuieres

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Chloe Mulier

    (UMR Innovation - Innovation et Développement dans l'Agriculture et l'Alimentation - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

Abstract

Effcient biodiversity management strategies aim to allocate conservation efforts so as to maximize diversity in ecological systems. Toward this end, dening a diversity criterion is an important but challenging task, as several different indices can be used as biodiversity measures. This paper elicits and compares two criteria for biodiversity conservation based on indices stemming from different disciplines: Weitzman's index in economics and Rao's index in ecology. These indices use different approaches to combine information about measures of (1) the probability distributions of the species that are present in an ecosystem (i.e. survival probabilities) and (2) the degree of dissimilarity between these species. As an important step toward in situ conservation criteria, we add to these elements information about (3) the ecological interactions that take place between species. Considering a simple three-species ecosystem, we show that criterion choice has palpable policy implications, as it can sometimes lead to divergent management recommendations. We disentangle the roles played by elements (1), (2) and (3) in the ranking outcomes, which allows us to highlight several specificities of the two criteria. An important result is that, other things being equal, Weitzman's in situ ranking tends to favor robust species that are least concerned with extinction, while Rao's in situ ranking generally gives priority to more vulnerable species that are closer to extinction.

Suggested Citation

  • Pierre Courtois & Charles Figuieres & Chloe Mulier, 2019. "A tale of two diversities," Post-Print hal-02090938, HAL.
  • Handle: RePEc:hal:journl:hal-02090938
    DOI: 10.1016/j.ecolecon.2018.12.027
    Note: View the original document on HAL open archive server: https://hal.science/hal-02090938
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    References listed on IDEAS

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    1. Solow Andrew & Polasky Stephen & Broadus James, 1993. "On the Measurement of Biological Diversity," Journal of Environmental Economics and Management, Elsevier, vol. 24(1), pages 60-68, January.
    2. Courtois, Pierre & Figuieres, Charles & Mulier, Chloe & Weill, Joakim, 2018. "A Cost–Benefit Approach for Prioritizing Invasive Species," Ecological Economics, Elsevier, vol. 146(C), pages 607-620.
    3. Eppink, Florian V. & van den Bergh, Jeroen C.J.M., 2007. "Ecological theories and indicators in economic models of biodiversity loss and conservation: A critical review," Ecological Economics, Elsevier, vol. 61(2-3), pages 284-293, March.
    4. Pierre Courtois & Charles Figuieres & Chloé Mulier, 2014. "Conservation Priorities when Species Interact: The Noah's Ark Metaphor Revisited," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-8, September.
    5. Steven Polasky & Andrew R. Solow, 1993. "Option Value, Gallot's Inequality, And The Measurement Of Biological Diversity," Boston College Working Papers in Economics 241, Boston College Department of Economics.
    6. Martin L. Weitzman, 1998. "The Noah's Ark Problem," Econometrica, Econometric Society, vol. 66(6), pages 1279-1298, November.
    7. Stéphanie Aulong & Katrin Erdlenbruch & C. Figuières, 2005. "Un tour d'horizon des critères d'évaluation de la diversité biologique," Post-Print hal-00452144, HAL.
    8. Walter Bossert & Prasanta K. Pattanaik & Yongsheng Xu, 2003. "Similarity of Options and the Measurement of Diversity," Journal of Theoretical Politics, , vol. 15(4), pages 405-421, October.
    9. Figuières, Charles & Aulong, Stéphanie & Erdlenbruch, Katrin, 2008. "Criteria for assessment of biodiversity: properties and difficulties of use," INRAE Sciences Sociales, Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2), vol. 2008, pages 1-5, September.
    10. Gerber, Nicolas, 2011. "Biodiversity measures based on species-level dissimilarities: A methodology for assessment," Ecological Economics, Elsevier, vol. 70(12), pages 2275-2281.
    11. van der Heide, C. Martijn & van den Bergh, Jeroen C.J.M. & van Ierland, Ekko C., 2005. "Extending Weitzman's economic ranking of biodiversity protection: combining ecological and genetic considerations," Ecological Economics, Elsevier, vol. 55(2), pages 218-223, November.
    12. Schultz, Jessica A. & Darling, Emily S. & Côté, Isabelle M., 2013. "What is an endangered species worth? Threshold costs for protecting imperilled fishes in Canada," Marine Policy, Elsevier, vol. 42(C), pages 125-132.
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    1. Courtois, Pierre & Figuieres, Charles & Mulier, Chloe & Weill, Joakim, 2018. "A Cost–Benefit Approach for Prioritizing Invasive Species," Ecological Economics, Elsevier, vol. 146(C), pages 607-620.

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    More about this item

    Keywords

    Species prioritization criteria; Public policy; Ecological interactions; Biodiversity indices; Conservation management strategy;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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