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Value of information and monitoring in conservation biology

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  • Mark Colyvan

    (University of Sydney)

Abstract

In this paper we consider uses of value of information studies in conservation biology. It is a common assumption that more and better quality data will lead to better conservation management decisions. Indeed, this assumption lies behind, and motivates, a great deal of current work in conservation biology. Of course, more data can lead to better decisions in some cases but decision-theoretic models of the value of information show that this need not always be the case: sometimes the cost of data collection is too high. While such value of information studies are well known in economics and decision theory circles, their applications in conservation biology are relatively new. These studies are a valuable tool for conservation management, and we outline some of the potential applications. We also offer some advice about, and problems with, implementing value of information studies in conservation settings.

Suggested Citation

  • Mark Colyvan, 2016. "Value of information and monitoring in conservation biology," Environment Systems and Decisions, Springer, vol. 36(3), pages 302-309, September.
    • Handle: RePEc:spr:envsyd:v:36:y:2016:i:3:d:10.1007_s10669-016-9603-8
    DOI: 10.1007/s10669-016-9603-8
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    References listed on IDEAS

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    Cited by:

    1. Venus, Terese E. & Sauer, Johannes, 2022. "Certainty pays off: The public's value of environmental monitoring," Ecological Economics, Elsevier, vol. 191(C).
    2. Haag, Fridolin & Chennu, Arjun, 2023. "Assessing whether decisions are more sensitive to preference or prediction uncertainty with a value of information approach," Omega, Elsevier, vol. 121(C).
    3. Zachary A. Collier & James H. Lambert & Igor Linkov, 2016. "Latest journal news and introduction to the September issue of environment systems and decisions," Environment Systems and Decisions, Springer, vol. 36(3), pages 223-224, September.

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