Doctoral Dissertation Research: Collaborative Social-Ecological Models for Conservation

博士论文研究：协作社会生态保护模型

• 批准号: 1821288
• 负责人: Julia Klein
• 金额: $ 1.8万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1821288&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Collaborative; Social

This doctoral dissertation research project will advance understanding of collaborative management and the benefits of conceptual and computer simulation modeling by examining the kinds of learning that occur when models of interactions between humans and the environment are used to support collaborative environmental decision making. This project will provide new insights and information regarding the ways in which local and scientific knowledge can improve the capacity of managers to understand, learn about, and respond to environmental change. By quantitatively measuring the cultural and cognitive changes that occur when public participants engage with different kinds of scientific models, this project will inform analysis and management of resilient socioecological systems by further connecting learning outcomes to concepts of adaptive capacity and collective action. Project results will be disseminated through academic and non-academic outlets to support science literacy and decision making. Project methods and findings will be adaptable for a broad range of settings in which linked human and natural systems with shared resources are experiencing rapid social and ecological change. As a Doctoral Dissertation Research Improvement award, this award also will provide support to enable a promising student to establish a strong independent research career.Modeling increasingly is used by academics and development experts to encourage collaborative management among resource users, policy makers, researchers, and conservation practitioners, yet little research has been conducted to measure the impacts of this process on collective action outcomes, local ecological knowledge, and related cultural models that consider the beliefs, norms, and values surrounding human-environment relationships. The doctoral student will seek answers to the following sets of questions: (1) How do resource users, decision makers, and researchers understand the causes and consequences of invasive shrubs in the study region, and how do those types of knowledge relate to one another? (2) To what degree can collaborative social-ecological models facilitate social learning, and how does it impact both individual knowledge and shared cultural knowledge? (3) What proposed management strategies arise during the collaborative modeling process, and how do these compare to strategies originally identified by different stakeholder groups? The student will use three modeling paradigms of increasing complexity to understand the sociocultural dimensions of the system (conceptual modeling), the ecological niche and invasion process of the invasive shrub (species distribution modeling), and the potential future scenarios and management options for the area (agent-based modeling). The learning process will be assessed using interviews and cultural consensus analysis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个博士论文研究项目将通过研究人类与环境之间相互作用的模型用于支持协作环境决策时所发生的各种学习，促进对协作管理的理解，以及概念和计算机模拟建模的好处。该项目将提供新的见解和信息，说明地方和科学知识如何能够提高管理人员理解、了解和应对环境变化的能力。通过定量测量公众参与者参与不同类型的科学模型时发生的文化和认知变化，该项目将通过进一步将学习成果与适应能力和集体行动的概念联系起来，为弹性社会生态系统的分析和管理提供信息。项目成果将通过学术和非学术渠道传播，以支持科学素养和决策。项目方法和研究结果将适用于广泛的环境，在这些环境中，具有共享资源的人类和自然系统正在经历迅速的社会和生态变化。作为博士论文研究改进奖，该奖项还将提供支持，使有前途的学生建立一个强大的独立研究生涯。学术界和发展专家越来越多地使用建模来鼓励资源使用者、政策制定者、研究人员和保护实践者之间的协作管理，但很少有研究来衡量这一过程对集体行动结果、当地生态知识和相关文化模型的影响，这些模型考虑了围绕人与环境关系的信念、规范和价值观。博士生将寻求以下问题的答案：(1)资源使用者、决策者和研究人员如何理解研究区域入侵灌木的原因和后果，以及这些类型的知识如何相互关联？(2)协作式社会生态模式在多大程度上促进了社会学习？它如何影响个人知识和共享文化知识？(3)在协作建模过程中提出了哪些管理策略，这些策略与不同利益相关者群体最初确定的策略如何比较？学生将使用三种日益复杂的建模范式来理解系统的社会文化维度（概念建模），入侵灌木的生态位和入侵过程（物种分布建模），以及该地区潜在的未来情景和管理选择（基于主体的建模）。学习过程将通过访谈和文化共识分析进行评估。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Mental models of a social-ecological system facilitate social learning among a diverse management team

社会生态系统的心理模型促进多元化管理团队之间的社会学习

• DOI: 10.1016/j.envsci.2021.04.006
• 发表时间: 2021
• 期刊: Environmental Science & Policy
• 影响因子: 6
• 作者: Steger, Cara;Gebrehiwot, Kflay;Chengere, Shambel Alemu;Marinkovich, Jake;Dullo, Bikila Warkineh;Zewde, Sisay Wube;Klein, Julia A.
• 通讯作者: Klein, Julia A.

Linking model design and application for transdisciplinary approaches in social-ecological systems

将社会生态系统中跨学科方法的模型设计和应用联系起来

• DOI: 10.1016/j.gloenvcha.2020.102201
• 发表时间: 2021
• 期刊: Global Environmental Change
• 作者: Steger, Cara;Hirsch, Shana;Cosgrove, Chris;Inman, Sarah;Nost, Eric;Shinbrot, Xoco;Thorn, Jessica P.R.;Brown, Daniel G.;Grêt-Regamey, Adrienne;Müller, Birgit
• 通讯作者: Müller, Birgit

How can sharing knowledge better explain land use changes in Ethiopia?

分享知识如何更好地解释埃塞俄比亚的土地利用变化？

• 发表时间: 2022
• 期刊: Environmental science journal for teens
• 作者: Cara Steger, Girma Nigussie

Knowledge coproduction improves understanding of environmental change in the Ethiopian highlands

知识合作提高了对埃塞俄比亚高地环境变化的了解

• DOI: 10.5751/es-11325-250202
• 发表时间: 2020
• 期刊: Ecology and Society
• 影响因子: 4.1
• 作者: Steger, Cara;Nigussie, Girma;Alonzo, Michael;Warkineh, Bikila;Van Den Hoek, Jamon;Fekadu, Mekbib;Evangelista, Paul H.;Klein, Julia A.
• 通讯作者: Klein, Julia A.