Combining participatory modelling and citizen science to support volunteer conservation action
Combining participatory modelling and citizen science to support volunteer conservation action
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DOI：
10.1016/j.biocon.2016.07.037
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发表时间：
2017-04-01
影响因子：
5.9
通讯作者：
Singer, Alison
中科院分区：
文献类型：
--
作者：
Gray, Steven;Jordan, Rebecca;Singer, Alison
公民科学和参与性模型的普及已经让位于越来越多的案例研究，这些案例研究都概述了更具包容性的保护规划形式的好处。公民科学为志愿者提供了从事环境研究的机会，而参与式建模使个人参与社区一级的环境决策。尽管这两个公共科学合作经常被认为导致了环境决策的改善，但在同行评议的文献中证明这些结果的证据仍然很少。我们认为，将这些领域结合起来，有望发展社区支持的研究，从而采取保护行动。为了演示这一方法，我们介绍了名为Mind Modeler(http://www.mentalmodeler.org/)，)的参与式建模软件的基础结构和使用情况，该软件与公民科学门户网站(www.Citci.org)一起使用，允许公民科学家、科学家和管理人员：(1)协作定义共同关心的当地保护问题；(2)建立模型并表示关于这些问题的假设、证据和现有信息；(3)运行情景以讨论潜在的研究或管理选择；以及最终(4)共同制定公民科学研究和保护计划。使用来自两个社区团体的案例研究数据，这些团体致力于与美国土地管理实践相关的当地定义的问题，我们展示了通过建模实践进行协调学习如何能够导致自我组织和共同创建的保护行动的发展。我们的结论是，在线建模工具的发展为公民科学和保护生物学领域带来了巨大的希望。爱思唯尔有限公司出版。
The popularity of both citizen science and participatory modelling has given way to a growing number of case studies that all outline the benefits of more inclusive forms of conservation planning. Citizen science offers volunteers the opportunity to engage in environmental research while participatory modelling engages individuals in community-level environmental decision-making. Although both of these public-science collaborations are often said to lead to improved environmental decision-making, evidence for these outcomes in the peer reviewed literature remains sparse. We suggest that combining these fields has promise for developing community-supported research leading to conservation action. To demonstrate this approach, we present the infrastructure and use of a participatory modelling software called Mental Modeler (http://www.mentalmodeler.org/), used with a citizen science web portal (www.citsci.org) that allows citizen scientists, scientists, and managers to: (1) collaboratively define local conservation issues of shared concern; (2) model and represent assumptions, evidence, and existing information about these issues; (3) run scenarios to discuss potential research or management options; and ultimately (4) co-develop citizen scientific research and conservation plans. Using case study data from two community groups working on locally-defined issues related to land management practices in the US, we demonstrate how coordinated learning through modelling practices can lead to the development of self-organized and co-created conservation action. We conclude that the development of online modelling tools holds strong promise for the fields of both citizen science and conservation biology. Published by Elsevier Ltd.