Coastal SEES Collaborative Research: Oyster fisheries in the Chesapeake Bay: Integrating stakeholder objectives with natural system models to promote sustainable policy

沿海 SEES 合作研究:切萨皮克湾的牡蛎渔业:将利益相关者目标与自然系统模型相结合,以促进可持续政策

基本信息

项目摘要

Researchers will use the oyster fisheries in the Chesapeake Bay as a test case for collaborative policy development that is grounded in sound science. Environmental policies often create controversy and can be difficult to enforce, particularly when people do not understand the reason for the rules or do not consider the rules to be fair. Natural resources can be better sustained by policies developed cooperatively among all affected stakeholders, scientists, and government representatives. In a systematic approach, the project team will hold a series of workshops in which a full set of stakeholders will work with scientists to guide development of a model, select policy objectives, and apply the model to make policy recommendations. A collaborative modeling approach will ensure that stakeholders have an opportunity to incorporate their values, objectives, and knowledge into the model of the estuarine ecosystem which will include many benefits from the natural system such as commercial and recreational fishing, safe swimmable water, and other ecosystem services. Researchers will study the sociology and economics that influence stakeholder involvement and policy formation in order to better understand the human dimensions, improve the process, and enhance the implementation success of recommended policies. The lessons learned regarding the oyster ecosystem and fishery will advance the tools and practices of sustainable management of shellfisheries. The policy recommendations from the stakeholder workshops will be evaluated by state and federal agencies, and if implemented, would be an outcome that would directly enhance coastal sustainability. One Ph.D. student, two masters students, and one postdoctoral researcher will be trained in the science of coupled natural-human systems. This project is supported as part of the National Science Foundation's Coastal Science, Engineering, and Education for Sustainability program - Coastal SEES.This research aims to improve the utility of predictive models for shaping natural resource policy and management. The research team will build an innovative natural systems model that integrates three-dimensional hydrodynamic, water quality and larval transport models with oyster demographics, human uses, and economics at a scale that is applicable to restoration and management. The modeling system developed will substantially advance methods for investigating, and understanding, natural systems with complex feedbacks between physical conditions, vital rates of organisms, and humans. Researchers will include stakeholder values, objectives, and knowledge in the model design process. Through a series of workshops, stakeholders will select the policy objectives and the integrated model will project how well policies are expected to meet these objectives. This iterative process will ensure that the natural system model will incorporate the complex human uses of the ecosystem. A targeted effort will be made to study the socioeconomic drivers of stakeholder involvement, information flow, use and influence, and the policy formation in order to improve the process and enhance the implementation success of recommended policies. By doing so, this research will advance understanding of the human dimensions needed to create sustainable policy as well as provide important new strategies for integrating natural and social sciences, and scientists, in sustainable resource management. This generalizable research component provides an important complement to the research on oysters, both of which will advance the tools and practices of sustainable management of shellfisheries.
研究人员将使用切萨皮克湾的牡蛎渔业作为基于合理科学的协作政策制定的测试案例。环境政策通常会引起争议,并且很难执行,尤其是当人们不了解规则的原因或不认为规则是公平的时候。在所有受影响的利益相关者,科学家和政府代表中合作制定的政策可以更好地维持自然资源。在系统的方法中,项目团队将举办一系列研讨会,其中一组利益相关者将与科学家合作,指导模型的开发,选择政策目标,并应用模型来提出政策建议。一种协作建模方法将确保利益相关者有机会将其价值,目标和知识纳入河口生态系统的模型中,其中包括商业和休闲捕鱼,安全的游泳水和其他生态系统等自然系统中的许多好处服务。 研究人员将研究影响利益相关者参与和政策形成的社会学和经济学,以便更好地了解人类维度,改善过程并增强推荐政策的实施成功。有关牡蛎生态系统和渔业的经验教训将推动贝类可持续管理的工具和实践。利益相关者研讨会的政策建议将由州和联邦机构评估,如果实施,将是直接增强沿海可持续性的结果。一位博士学生,两名硕士学生和一名博士后研究员将接受耦合的天然人类系统科学培训。该项目是国家科学基金会沿海科学,工程和可持续性教育计划的一部分 - 沿海地区的一部分。这项研究旨在提高预测模型来塑造自然资源政策和管理的实用性。 研究团队将建立一个创新的自然系统模型,该模型将三维流体动力,水质和幼虫运输模型与牡蛎人口统计,人类用途和经济学相结合,适用于恢复和管理。开发的建模系统将大大推进研究和理解自然系统,具有复杂的身体状况,生物体和人类的重要率之间的反馈。研究人员将在模型设计过程中包括利益相关者的价值观,目标和知识。通过一系列研讨会,利益相关者将选择策略目标,集成模型将投影政策的预期能力满足这些目标。这种迭代过程将确保自然系统模型将结合生态系统的复杂人类用途。为了研究利益相关者参与,信息流,使用和影响力的社会经济驱动力以及政策形成,以改善流程并增强推荐政策的实施成功。通过这样做,这项研究将促进对创建可持续政策所需的人类维度的理解,并为将自然和社会科学和科学家整合到可持续资源管理中提供重要的新策略。这种可推广的研究组成部分为牡蛎研究提供了重要的补充,这两者都将推动贝类可持续管理的工具和实践。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Elizabeth North其他文献

Elizabeth North的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Elizabeth North', 18)}}的其他基金

NSF Convergence Accelerator Track M: A new biomanufacturing process for making precipitated calcium carbonate and plant-based compounds that support human health
NSF Convergence Accelerator Track M:一种新的生物制造工艺,用于制造支持人类健康的沉淀碳酸钙和植物基化合物
  • 批准号:
    2344228
  • 财政年份:
    2024
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters
合作研究:河口牡蛎快速自然选择导致的耐盐性遗传差异的空间分析
  • 批准号:
    1756592
  • 财政年份:
    2018
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Can Raman spectroscopy be used as a high-accuracy method to identify bivalve larvae?
合作研究:拉曼光谱可以作为识别双壳类幼虫的高精度方法吗?
  • 批准号:
    1240266
  • 财政年份:
    2012
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Interacting Effects of Local Demography and Larval Connectivity on Estuarine Metapopulation Dynamics
合作研究:当地人口统计和幼虫连通性对河口种群动态的相互作用
  • 批准号:
    1155497
  • 财政年份:
    2012
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Deepwater Horizon: Simulating the three dimensional dispersal of aging oil with a Lagrangian approach
RAPID:合作研究:深水地平线:用拉格朗日方法模拟老化石油的三维扩散
  • 批准号:
    1048630
  • 财政年份:
    2010
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Integrating field methods and numerical models to quantify the links between larval transport, connectivity, and population dynamics
整合现场方法和数值模型来量化幼虫运输、连通性和种群动态之间的联系
  • 批准号:
    0829512
  • 财政年份:
    2008
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
U.S.-UK-France Workshop on Advancements in Modeling Physical-Biological Interactions in Fish Early-life History: Recommended Practices and Future Directions - Spring 2006
美国-英国-法国鱼类早期生命史物理-生物相互作用建模进展研讨会:推荐做法和未来方向 - 2006 年春季
  • 批准号:
    0527221
  • 财政年份:
    2005
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Larval Transport in a Coupled-Estuary-Shelf System: A Modeling Study
合作研究:河口陆架耦合系统中的幼虫运输:建模研究
  • 批准号:
    0424932
  • 财政年份:
    2004
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant

相似海外基金

Coastal SEES (Track 2), Collaborative: Developing High Performance Green Infrastructure Systems to Sustain Coastal Cities
沿海 SEES(轨道 2),协作:开发高性能绿色基础设施系统以维持沿海城市
  • 批准号:
    1802394
  • 财政年份:
    2017
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Coastal SEES Collaborative Research: Integration of human behavior and perception into a risk-based microbial water quality management approach
沿海 SEES 合作研究:将人类行为和感知融入基于风险的微生物水质管理方法
  • 批准号:
    1745934
  • 财政年份:
    2017
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Coastal SEES Collaborative Research: Effects of restoration and redevelopment on nitrogen dynamics in an urban coastal watershed
沿海 SEES 合作研究:恢复和再开发对城市沿海流域氮动态的影响
  • 批准号:
    1758420
  • 财政年份:
    2017
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Coastal SEES Collaborative Research: Integration of human behavior and perception into a risk-based microbial water quality management approach
沿海 SEES 合作研究:将人类行为和感知融入基于风险的微生物水质管理方法
  • 批准号:
    1566562
  • 财政年份:
    2016
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
Coastal SEES Collaborative Research: Multi-scale modeling and observations of landscape dynamics, mass balance, and network connectivity for a sustainable Ganges-Brahmaputra delta
沿海 SEES 合作研究:可持续恒河-雅鲁藏布江三角洲的景观动态、质量平衡和网络连通性的多尺度建模和观测
  • 批准号:
    1600222
  • 财政年份:
    2016
  • 资助金额:
    $ 140.5万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了