JOURNAL ARTICLE

Decision Analysis to Advance Environmental Sustainability.

  • Published In: Decision Analysis (INFORMS), 2023, v. 20, n. 4. P. 243 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Robinson, Kelly F.; Baker, Erin; Ewing, Elizabeth; Hemming, Victoria; Kenney, Melissa A.; Runge, Michael C. 3 of 3

Abstract

This article focuses on the application of decision analysis as a rigorous framework to address complex environmental sustainability and conservation challenges. It highlights how decision analysis can integrate multiple ecological, economic, social, and logistical objectives while accounting for uncertainty, stakeholder values, and resource constraints. The article presents five case studies demonstrating decision analysis applied to issues such as climate-smart agriculture, wildfire management, species translocation, endangered species prioritization, and collaborative fisheries management, all linked to several United Nations Sustainable Development Goals (SDGs). It also discusses future research directions, including incorporating diverse stakeholder values, integrating complementary decision-making tools, leveraging new technologies, securing funding, and improving implementation to advance sustainability outcomes.

Additional Information

  • Source:Decision Analysis (INFORMS). 2023/12, Vol. 20, Issue 4, p243
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2023
  • ISSN:1545-8490
  • DOI:10.1287/deca.2023.intro.v20.n4
  • Accession Number:174178975
  • Copyright Statement:Copyright of Decision Analysis (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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