CNH-L: The Dynamics of Adaptation to Climate-Driven Variability in California Current Fisheries And Fishing Communities

CNH-L：加利福尼亚州当前渔业和捕鱼社区对气候驱动的变化的适应动态

• 批准号: 1616821
• 负责人: Joshua Abbott
• 金额: $ 150万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1616821&HistoricalAwards=false
• 关键词: CNH; Dynamics; Adaptation; Climate; Driven

The livelihoods of fishermen who work in large marine ecosystems are heavily influenced by the variability inherent in biological and oceanic systems, as well as by the intrinsic uncertainty of economic and management structures. However, as fishermen adapt to these changes by moving across fisheries, their actions may strongly impact them and their communities, as well as influence local ecosystem dynamics. The linkages between environmental variability and ecological, economic, and social outcomes in marine ecosystems are poorly understood. Developing this knowledge is important so that regulators may adopt fisheries management approaches that allow fishermen to adapt to environmental variability while at the same time enhancing the social and economic value of fisheries and mitigating risks to both ecosystems and livelihoods. In this project, ecologists, economists and social scientists will collaborate and integrate primary survey research, modeling, and outreach to: 1) understand how environmental variability affects, and is affected by, linked social and ecological processes; 2) investigate how more integrated fisheries management can enhance social and ecological resilience; and 3) engage state and federal fisheries managers and fishing communities in the development and application of modeling approaches to better achieve ecological and social goals.To better operationalize ecosystem-based fisheries management, the researchers will use time series approaches to identify the effects of environmental variability on fish population dynamics and spatial distributions, and to identify 'portfolios' of species whose productivity varies synchronously or asynchronously, in the context of the fisheries of the California Current marine ecosystem on the U.S. West Coast. To better understand fishermen's patterns of participation across multiple fisheries, this research will combine data from ethnographic interviews and structured surveys of fishermen, with data on fishing participation, revenues and costs, to develop an empirical model of fishing supply behavior that integrates economic motivations (e.g., profits, financial risks, and outside employment opportunities) with non-monetary considerations (e.g., psychological satisfaction from fishing or strong social ties to the fishing community). Finally, the researchers will integrate the model of fishing supply with models of the population dynamics of key fish stocks under environmental variability to create a coupled ecological-economic simulation model of West Coast fisheries. This model will be used by the researchers, in conjunction with fishery managers and stakeholders, to consider how alternative management approaches may enhance or hamper the resilience of the fishery by affecting fishermen's adaptive behavior. The research from this study would provide society benefits through providing an important tool to operationalize ecosystem-based fishery management, a stated priority for state and federal agencies.

在大型海洋生态系统中工作的渔民的生计受到生物和海洋系统固有的可变性以及经济和管理结构固有的不确定性的严重影响。然而，随着渔民通过跨渔场转移来适应这些变化，他们的行为可能会对他们及其社区产生强烈影响，并影响当地生态系统的动态。人们对环境变异性与海洋生态系统的生态、经济和社会结果之间的联系知之甚少。发展这方面的知识非常重要，以便监管机构可以采取渔业管理方法，使渔民能够适应环境的变化，同时提高渔业的社会和经济价值，减轻生态系统和生计的风险。在该项目中，生态学家、经济学家和社会科学家将合作并整合初步调查研究、建模和推广，以：1）了解环境变异如何影响相关的社会和生态过程，以及如何受其影响； 2) 研究更加综合的渔业管理如何增强社会和生态复原力； 3）让州和联邦渔业管理者和渔业社区参与建模方法的开发和应用，以更好地实现生态和社会目标。为了更好地实施基于生态系统的渔业管理，研究人员将使用时间序列方法来确定环境影响在美国西海岸加利福尼亚洋流海洋生态系统的渔业背景下，研究鱼类种群动态和空间分布的变异性，并确定生产力同步或异步变化的物种“组合”。为了更好地了解渔民对多种渔业的参与模式，本研究将结合来自渔民的民族志访谈和结构化调查的数据，以及有关捕捞参与、收入和成本的数据，以开发一个综合了经济动机（例如，渔业）的捕捞供应行为的实证模型。 、利润、财务风险和外部就业机会）以及非货币考虑因素（例如，捕鱼带来的心理满足感或与捕鱼社区的牢固社会联系）。最后，研究人员将渔业供应模型与环境变化下关键鱼类种群动态模型相结合，创建西海岸渔业生态经济耦合模拟模型。研究人员将与渔业管理者和利益相关者一起使用该模型，以考虑替代管理方法如何通过影响渔民的适应行为来增强或阻碍渔业的恢复力。这项研究将通过提供重要工具来实施基于生态系统的渔业管理，从而为社会带来效益，这是州和联邦机构明确的优先事项。

项目成果

Marine heatwaves are not a dominant driver of change in demersal fishes

海洋热浪并不是底层鱼类变化的主要驱动力

• DOI: 10.1038/s41586-023-06449-y
• 发表时间: 2023-09
• 期刊: Nature
• 影响因子: 64.8
• 作者: Fredston, Alexa L.;Cheung, William W.;Frölicher, Thomas L.;Kitchel, Zoë J.;Maureaud, Aurore A.;Thorson, James T.;Auber, Arnaud;Mérigot, Bastien;Palacios;Palomares, Maria Lourdes;et al
• 通讯作者: et al

Fish and fisheries in hot water: What is happening and how do we adapt?

鱼类和渔业陷入困境：正在发生什么以及我们如何适应？

• DOI: 10.1002/1438-390x.12050
• 发表时间: 2020-04
• 期刊: Population Ecology
• 影响因子: 1.7
• 作者: Pinsky, Malin L.;Fenichel, Eli;Fogarty, Michael;Levin, Simon;McCay, Bonnie;St. Martin, Kevin;Selden, Rebecca L.;Young, Talia
• 通讯作者: Young, Talia

Disentangling tropicalization and deborealization in marine ecosystems under climate change

气候变化下海洋生态系统的热带化和去寒带化

• DOI: 10.1016/j.cub.2021.08.034
• 发表时间: 2021-09-01
• 期刊: Current Biology
• 影响因子: 9.2
• 作者: M. McLean;D. Mouillot;Aurore Maureaud;T. Hattab;M. MacNeil;Eric Goberville;M. Lindegren;G. Engelhard;M. Pinsky;Arnaud Auber
• 通讯作者: Arnaud Auber

Stepping Up: A U.S. Perspective on the Ten Steps to Responsible Inland Fisheries

加强行动：美国对负责任内陆渔业十步措施的看法

• DOI: 10.1002/fsh.10695
• 发表时间: 2022-02
• 期刊: Fisheries
• 影响因子: 2.8
• 作者: Carlson, Andrew K.;Taylor, William W.;DeVries, Dennis R.;Ferreri, C. Paola;Fogarty, Michael J.;Hartman, Kyle J.;Infante, Dana M.;Kinnison, Michael T.;Levin, Simon A.;Melstrom, Richard T.;et al
• 通讯作者: et al

ESTIMATING THE ECONOMIC IMPACTS OF CLIMATE CHANGE ON 16 MAJOR US FISHERIES

估算气候变化对美国 16 个主要渔业部门的经济影响

• DOI: 10.1142/s2010007821500020
• 发表时间: 2021-02
• 期刊: Climate Change Economics
• 影响因子: 2.3
• 作者: MOORE, CHRIS;MORLEY, JAMES W.;MORRISON, BRIAN;KOLIAN, MICHAEL;HORSCH, ERIC;FRÖLICHER, THOMAS;PINSKY, MALIN L.;GRIFFIS, ROGER
• 通讯作者: GRIFFIS, ROGER