Accounting for human-nature linkages in area-based conservation monitoring through social-ecological indicator bundles.

IF 5.5 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Natalie C Ban, Mark H Carr, Emily M Rubidge, Anne Salomon, Joachim Claudet, Arielle Levine, Lindsay Aylesworth, Luisa Ramirez, Jenn M Burt, Mark Andrachuk, Natascia Tamburello, Rebecca Martone, Anna Schuhbauer, Mairi Meehan, Dana Baker, Georgina G Gurney, Nathan J Bennett, David Gill, Gerald Singh, Stefan Gelcich, Avery Maloney, Fiona Beaty
{"title":"Accounting for human-nature linkages in area-based conservation monitoring through social-ecological indicator bundles.","authors":"Natalie C Ban, Mark H Carr, Emily M Rubidge, Anne Salomon, Joachim Claudet, Arielle Levine, Lindsay Aylesworth, Luisa Ramirez, Jenn M Burt, Mark Andrachuk, Natascia Tamburello, Rebecca Martone, Anna Schuhbauer, Mairi Meehan, Dana Baker, Georgina G Gurney, Nathan J Bennett, David Gill, Gerald Singh, Stefan Gelcich, Avery Maloney, Fiona Beaty","doi":"10.1111/cobi.70156","DOIUrl":null,"url":null,"abstract":"<p><p>As the coverage of area-based conservation increases across the globe, it is critical to improve understanding of the social and ecological outcomes of such measures and the pathways to their outcomes. A social-ecological systems approach to monitoring and evaluation is increasingly advocated; yet, applications remain scarce. We sought to facilitate operationalization of this approach through prioritization of indicators when resources are scarce and to improve capture of social-ecological interactions. We convened a working group of practitioners and academics to explore linked social and ecological interactions through a case study of marine protected areas (MPAs). We used causal models (implemented through causal loop diagrams) in participatory and future-oriented approaches to identify interactions among key nodes of the system that can be a focus of monitoring. These nodes and their interactions provided insight into linked indicators of key system components, for example, biomass, compliance, perceived legitimacy, catches, and perceived fairness. We called these indicator bundles. Indicator bundles can be applied to analyze causal modeling diagrams, identify essential elements to monitor, and inform analytical and reporting protocols. The bundles can also help identify key leverage points for adaptive management to improve outcomes of existing interventions. This approach can inform monitoring and evaluation and, ultimately, the design and adaptive management of conservation areas that maximize social and ecological benefits and minimize negative trade-offs.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70156"},"PeriodicalIF":5.5000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conservation Biology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1111/cobi.70156","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
引用次数: 0

Abstract

As the coverage of area-based conservation increases across the globe, it is critical to improve understanding of the social and ecological outcomes of such measures and the pathways to their outcomes. A social-ecological systems approach to monitoring and evaluation is increasingly advocated; yet, applications remain scarce. We sought to facilitate operationalization of this approach through prioritization of indicators when resources are scarce and to improve capture of social-ecological interactions. We convened a working group of practitioners and academics to explore linked social and ecological interactions through a case study of marine protected areas (MPAs). We used causal models (implemented through causal loop diagrams) in participatory and future-oriented approaches to identify interactions among key nodes of the system that can be a focus of monitoring. These nodes and their interactions provided insight into linked indicators of key system components, for example, biomass, compliance, perceived legitimacy, catches, and perceived fairness. We called these indicator bundles. Indicator bundles can be applied to analyze causal modeling diagrams, identify essential elements to monitor, and inform analytical and reporting protocols. The bundles can also help identify key leverage points for adaptive management to improve outcomes of existing interventions. This approach can inform monitoring and evaluation and, ultimately, the design and adaptive management of conservation areas that maximize social and ecological benefits and minimize negative trade-offs.

利用社会-生态指标包核算基于区域的保护监测中人与自然的联系。
随着全球范围内以区域为基础的保护范围的扩大,提高对这些措施的社会和生态结果及其实现途径的理解至关重要。越来越提倡采用社会-生态系统方法进行监测和评价;然而,应用程序仍然很少。我们力求通过在资源稀缺时确定指标的优先次序,促进这一方法的实施,并改进对社会生态相互作用的捕捉。我们召集了一个由从业者和学者组成的工作组,通过对海洋保护区(MPAs)的案例研究,探讨社会和生态之间的相互作用。我们在参与式和面向未来的方法中使用因果模型(通过因果循环图实现)来确定系统关键节点之间的相互作用,这些节点可以成为监测的重点。这些节点及其相互作用提供了对关键系统组件的关联指标的洞察,例如,生物量、遵从性、感知合法性、捕获量和感知公平性。我们称这些为指标束。指标包可以应用于分析因果建模图,识别要监视的基本元素,并通知分析和报告协议。这些捆绑包还可以帮助确定适应性管理的关键杠杆点,以改善现有干预措施的结果。这种方法可以为监测和评估提供信息,并最终为保护区的设计和适应性管理提供信息,从而最大限度地提高社会和生态效益,最大限度地减少负面权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Conservation Biology
Conservation Biology 环境科学-环境科学
CiteScore
12.70
自引率
3.20%
发文量
175
审稿时长
2 months
期刊介绍: Conservation Biology welcomes submissions that address the science and practice of conserving Earth's biological diversity. We encourage submissions that emphasize issues germane to any of Earth''s ecosystems or geographic regions and that apply diverse approaches to analyses and problem solving. Nevertheless, manuscripts with relevance to conservation that transcend the particular ecosystem, species, or situation described will be prioritized for publication.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信