Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41893-019-0467-z |
Wisdom of stakeholder crowds in complex social-ecological systems | |
Aminpour, Payam1; Gray, Steven A.1,2,3; Jetter, Antonie J.4; Introne, Joshua E.5; Singer, Alison6; Arlinghaus, Robert2,7 | |
2020-01-13 | |
发表期刊 | NATURE SUSTAINABILITY |
ISSN | 2398-9629 |
出版年 | 2020 |
卷号 | 3期号:3页码:191-199 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Germany; Denmark |
英文摘要 | Natural resource management involves complex relationships that are affected by data and knowledge limitations. Mental modelling can harness the wisdom of a crowd of stakeholders. Sustainable management of natural resources requires adequate scientific knowledge about complex relationships between human and natural systems. Such understanding is difficult to achieve in many contexts due to data scarcity and knowledge limitations. We explore the potential of harnessing the collective intelligence of resource stakeholders to overcome this challenge. Using a fisheries example, we show that by aggregating the system knowledge held by stakeholders through graphical mental models, a crowd of diverse resource users produces a system model of social-ecological relationships that is comparable to the best scientific understanding. We show that the averaged model from a crowd of diverse resource users outperforms those of more homogeneous groups. Importantly, however, we find that the averaged model from a larger sample of individuals can perform worse than one constructed from a smaller sample. However, when averaging mental models within stakeholder-specific subgroups and subsequently aggregating across subgroup models, the effect is reversed. Our work identifies an inexpensive, yet robust way to develop scientific understanding of complex social-ecological systems by leveraging the collective wisdom of non-scientist stakeholders. |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000508157900003 |
WOS关键词 | FUZZY COGNITIVE MAPS ; MANAGEMENT ; KNOWLEDGE ; FISHERIES ; BENEFITS |
WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/249465 |
专题 | 资源环境科学 |
作者单位 | 1.Michigan State Univ, Dept Community Sustainabil, E Lansing, MI 48824 USA; 2.Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Biol & Ecol Fishes, Berlin, Germany; 3.Copenhagen Business Sch, Collect Intelligence Unit, Copenhagen, Denmark; 4.Portland State Univ, Dept Engn & Technol Management, Portland, OR 97207 USA; 5.Syracuse Univ, Sch Informat Studies, Syracuse, NY USA; 6.No Arizona Univ, Dept Biol Sci, Box 5640, Flagstaff, AZ 86011 USA; 7.Humboldt Univ, Albrecht Daniel Thaer Inst Agr & Hort Sci, Div Integrat Fisheries Management, Berlin, Germany |
推荐引用方式 GB/T 7714 | Aminpour, Payam,Gray, Steven A.,Jetter, Antonie J.,et al. Wisdom of stakeholder crowds in complex social-ecological systems[J]. NATURE SUSTAINABILITY,2020,3(3):191-199. |
APA | Aminpour, Payam,Gray, Steven A.,Jetter, Antonie J.,Introne, Joshua E.,Singer, Alison,&Arlinghaus, Robert.(2020).Wisdom of stakeholder crowds in complex social-ecological systems.NATURE SUSTAINABILITY,3(3),191-199. |
MLA | Aminpour, Payam,et al."Wisdom of stakeholder crowds in complex social-ecological systems".NATURE SUSTAINABILITY 3.3(2020):191-199. |
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