{"title":"信息分析对海洋保护决策的价值","authors":"Amelie Luhede , Prateek Verma , Thorsten Upmann","doi":"10.1016/j.envsci.2025.104164","DOIUrl":null,"url":null,"abstract":"<div><div>Decision-making in environmental and marine conservation management often needs to be made under substantial uncertainty about ecosystem responses to various stressors. This uncertainty can lead to suboptimal or delayed actions, jeopardising conservation efforts. Value of Information (VoI), can address this issue by quantifying the benefits of acquiring additional data, thereby supporting decision-makers to reduce uncertainty and make more informed, effective management choices. This article provides the first comprehensive review of VoI applications related to marine conservation management. We provide a conceptual background and developmental history and introduce different metrics for calculating VoI. We identify, summarise, and categorise recent studies relevant to environmental and marine conservation management on the basis of the study’s objectives, type of uncertainty, model, VoI metric, etc., to elucidate the relevancy of VoI in the field. We also identify the literature gap and discuss the potential developmental direction of the VoI theory by highlighting the need to integrate dynamic decision-making and adaptive learning for more effective conservation efforts.</div></div>","PeriodicalId":313,"journal":{"name":"Environmental Science & Policy","volume":"171 ","pages":"Article 104164"},"PeriodicalIF":5.2000,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Value of Information analysis for marine conservation decision making\",\"authors\":\"Amelie Luhede , Prateek Verma , Thorsten Upmann\",\"doi\":\"10.1016/j.envsci.2025.104164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Decision-making in environmental and marine conservation management often needs to be made under substantial uncertainty about ecosystem responses to various stressors. This uncertainty can lead to suboptimal or delayed actions, jeopardising conservation efforts. Value of Information (VoI), can address this issue by quantifying the benefits of acquiring additional data, thereby supporting decision-makers to reduce uncertainty and make more informed, effective management choices. This article provides the first comprehensive review of VoI applications related to marine conservation management. We provide a conceptual background and developmental history and introduce different metrics for calculating VoI. We identify, summarise, and categorise recent studies relevant to environmental and marine conservation management on the basis of the study’s objectives, type of uncertainty, model, VoI metric, etc., to elucidate the relevancy of VoI in the field. We also identify the literature gap and discuss the potential developmental direction of the VoI theory by highlighting the need to integrate dynamic decision-making and adaptive learning for more effective conservation efforts.</div></div>\",\"PeriodicalId\":313,\"journal\":{\"name\":\"Environmental Science & Policy\",\"volume\":\"171 \",\"pages\":\"Article 104164\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Science & Policy\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1462901125001807\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science & Policy","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1462901125001807","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Value of Information analysis for marine conservation decision making
Decision-making in environmental and marine conservation management often needs to be made under substantial uncertainty about ecosystem responses to various stressors. This uncertainty can lead to suboptimal or delayed actions, jeopardising conservation efforts. Value of Information (VoI), can address this issue by quantifying the benefits of acquiring additional data, thereby supporting decision-makers to reduce uncertainty and make more informed, effective management choices. This article provides the first comprehensive review of VoI applications related to marine conservation management. We provide a conceptual background and developmental history and introduce different metrics for calculating VoI. We identify, summarise, and categorise recent studies relevant to environmental and marine conservation management on the basis of the study’s objectives, type of uncertainty, model, VoI metric, etc., to elucidate the relevancy of VoI in the field. We also identify the literature gap and discuss the potential developmental direction of the VoI theory by highlighting the need to integrate dynamic decision-making and adaptive learning for more effective conservation efforts.
期刊介绍:
Environmental Science & Policy promotes communication among government, business and industry, academia, and non-governmental organisations who are instrumental in the solution of environmental problems. It also seeks to advance interdisciplinary research of policy relevance on environmental issues such as climate change, biodiversity, environmental pollution and wastes, renewable and non-renewable natural resources, sustainability, and the interactions among these issues. The journal emphasises the linkages between these environmental issues and social and economic issues such as production, transport, consumption, growth, demographic changes, well-being, and health. However, the subject coverage will not be restricted to these issues and the introduction of new dimensions will be encouraged.