IDEAS home Printed from https://ideas.repec.org/a/ucp/renvpo/doi10.1086-738933.html

The Economics of Designing Protected Areas for Biodiversity Conservation: A Call to Integrate Pre- and Post-implementation Human Threats into Planning

Author

Listed:
  • Heidi J. Albers
  • Kailin Kroetz

Abstract

Human threats to biodiversity are the impetus for establishing protected areas (PAs) to conserve biodiversity. Current international goals aim to cover 30 percent of terrestrial and marine areas with PAs by 2030. Yet, despite the importance of human behavior in driving threats to biodiversity, relatively little economic analysis informs the design of PA networks. We describe the PA network design decision as a constrained optimization problem, which can include human responses to PAs that threaten biodiversity both within PAs and across broader seascapes and landscapes. This approach differs from most of the conservation planning literature by putting human actions at the center of PA network design decisions. We argue that PA network efficiency can be improved through design frameworks that incorporate predictions of how human behavior will respond to PAs. The variety of threats to biodiversity posed by people’s actions in marine and terrestrial settings, and across country income levels, suggests the need to include the range of human responses to a fuller set of PA network design choices, beyond decisions about the siting of PAs. We discuss possible steps to link the PA network design models discussed here to empirical analysis and implementation.

Suggested Citation

  • Heidi J. Albers & Kailin Kroetz, 2026. "The Economics of Designing Protected Areas for Biodiversity Conservation: A Call to Integrate Pre- and Post-implementation Human Threats into Planning," Review of Environmental Economics and Policy, University of Chicago Press, vol. 20(1), pages 58-78.
  • Handle: RePEc:ucp:renvpo:doi:10.1086/738933
    DOI: 10.1086/738933
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/738933
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/738933
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/738933?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ucp:renvpo:doi:10.1086/738933. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/REEP .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.