draft MARCO symposium presentation

IEA/MARCO_2024-10-01/20241001_SOE_MidAtlantic_Gaichas.Rproj

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IEA/MARCO_2024-10-01/Exported Items.bib

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+@article{muffley_there_2021,
+	title = {There {Is} no {I} in {EAFM} {Adapting} {Integrated} {Ecosystem} {Assessment} for {Mid}-{Atlantic} {Fisheries} {Management}},
+	volume = {49},
+	issn = {0892-0753},
+	url = {https://doi.org/10.1080/08920753.2021.1846156},
+	doi = {10.1080/08920753.2021.1846156},
+	abstract = {Resource managers worldwide are being asked to consider the ecosystem while making management decisions. Integrated Ecosystem Assessment (IEA) provides a flexible framework for addressing ecosystem considerations in decision making. The US Mid-Atlantic Fishery Management Council (Council) adapted the IEA approach and implemented a structured decision framework to address species, fleet, habitat, and climate interactions as part of their Ecosystem Approach to Fisheries Management (EAFM) in 2016. The Council’s EAFM decision framework first uses risk assessment to prioritize fishery-ecosystem interactions for consideration. The Council’s 2017 EAFM risk assessment identified a range of ecological, social, and management objectives or risk elements. Development of a conceptual model to identify key environmental, ecological, social, economic, and management linkages for a high-priority fishery is the second step in the framework. The Council identified summer flounder (Paralichthys dentatus) as a high-risk fishery and finalized an EAFM conceptual model that considers high-risk factors and ecosystem elements in 2019. The Council used the conceptual model to identify three priority summer flounder management questions (recreational data uncertainty, recreational discards, and distribution shifts) to be considered for quantitative management strategy evaluation, the third step in the EAFM framework and set to begin in 2020. Finally, as strategies are implemented, outcomes are monitored and the process is adjusted, and/or other priorities identified in the risk assessment can be addressed. The Council’s rapid progress in implementing EAFM resulted from an extensive, positive, and collaborative process between managers, stakeholders, and scientists. Collaboration helps build trust and buy-in from all participants and is essential to IEA and to the success of EAFM.},
+	number = {1},
+	urldate = {2021-04-16},
+	journal = {Coastal Management},
+	author = {Muffley, Brandon and Gaichas, Sarah and DePiper, Geret and Seagraves, Richard and Lucey, Sean},
+	month = jan,
+	year = {2021},
+	note = {Publisher: Taylor \& Francis
+\_eprint: https://doi.org/10.1080/08920753.2021.1846156},
+	keywords = {integrated ecosystem assessment, fisheries, ecosystem indicators, ecosystem approach, risk assessment, conceptual modeling, economic indicators, management objectives},
+	pages = {90--106},
+	file = {Full Text PDF:/Users/sarah.gaichas/Zotero/storage/ESFUDR64/Muffley et al. - 2020 - There Is no I in EAFM Adapting Integrated Ecosyste.pdf:application/pdf;Full Text PDF:/Users/sarah.gaichas/Zotero/storage/2P68VR5M/Muffley et al. - 2021 - There Is no I in EAFM Adapting Integrated Ecosyste.pdf:application/pdf;Full Text PDF:/Users/sarah.gaichas/Zotero/storage/VF4GGSFW/Muffley et al. - 2021 - There Is no I in EAFM Adapting Integrated Ecosyste.pdf:application/pdf;Snapshot:/Users/sarah.gaichas/Zotero/storage/VG86GU76/08920753.2021.html:text/html;Snapshot:/Users/sarah.gaichas/Zotero/storage/LP9WGACM/08920753.2021.html:text/html;Snapshot:/Users/sarah.gaichas/Zotero/storage/DGGMLV2B/08920753.2021.html:text/html;Snapshot:/Users/sarah.gaichas/Zotero/storage/ZZDPZEK8/08920753.2021.html:text/html},
+}
+
+@article{bastille_improving_2021,
+	title = {Improving the {IEA} {Approach} {Using} {Principles} of {Open} {Data} {Science}},
+	volume = {49},
+	issn = {0892-0753},
+	url = {https://doi.org/10.1080/08920753.2021.1846155},
+	doi = {10.1080/08920753.2021.1846155},
+	abstract = {Integrated ecosystem assessments (IEAs) compile and use indicators, risk assessments, and other analyses to address regional policy needs at varying spatial scales. Although approaches to implementing IEAs are context-specific, challenges in data acquisition, management, processing, analysis, and communication are universal. By embracing open science, in which scientific data, methods, and products are made publicly accessible, along with the ever-expanding tools facilitating open science, IEA practitioners will be better equipped to address these challenges. Here, we provide a snapshot of the state of open science practices in IEAs on-going across the United States. We show that open science has improved the flexibility, reproducibility, and efficiency of the scientific workflows within the IEA framework. Although the initial time investment necessary for developing open science workflows may appear daunting, we show that the subsequent returns provided by the efficient and transparent development of IEA products are worth the effort. By improving the implementation of IEAs, open science tools and principals have the potential to further Ecosystem Based Management (EBM) worldwide.},
+	number = {1},
+	urldate = {2021-04-16},
+	journal = {Coastal Management},
+	author = {Bastille, Kimberly and Hardison, Sean and deWitt, Lynn and Brown, Jennifer and Samhouri, Jameal and Gaichas, Sarah and Lucey, Sean and Kearney, Kelly and Best, Ben and Cross, Scott and Large, Scott and Spooner, Ellen},
+	month = jan,
+	year = {2021},
+	note = {Publisher: Taylor \& Francis
+\_eprint: https://doi.org/10.1080/08920753.2021.1846155},
+	keywords = {open science, IEA framwork, reproducilibity},
+	pages = {72--89},
+	file = {Full Text PDF:/Users/sarah.gaichas/Zotero/storage/A26QHF3L/Bastille et al. - 2020 - Improving the IEA Approach Using Principles of Ope.pdf:application/pdf;Full Text PDF:/Users/sarah.gaichas/Zotero/storage/7SP7NEEF/Bastille et al. - 2021 - Improving the IEA Approach Using Principles of Ope.pdf:application/pdf;Snapshot:/Users/sarah.gaichas/Zotero/storage/B8H6FHGA/08920753.2021.html:text/html;Snapshot:/Users/sarah.gaichas/Zotero/storage/424UEWKL/08920753.2021.html:text/html},
+}
+
+@article{depiper_learning_2021,
+	title = {Learning by doing: collaborative conceptual modelling as a path forward in ecosystem-based management},
+	volume = {78},
+	issn = {1054-3139},
+	shorttitle = {Learning by doing},
+	url = {https://doi.org/10.1093/icesjms/fsab054},
+	doi = {10.1093/icesjms/fsab054},
+	abstract = {Managers, stakeholders, and scientists recognize the need for collaborative, transparent, integrated approaches to complex resource management issues, and frameworks to address these complex issues are developing. Through the course of 2019, the Mid-Atlantic Fishery Management Council developed a conceptual model of ecosystem linkages and risks for summer flounder, a species of recreational and commercial fisheries importance. The proximal aim of the model was to develop a list of integrated management questions that could be refined and addressed through a future quantitative management strategy evaluation. As such, this conceptual model served as a scoping tool. However, the true value of the conceptual model lays elsewhere: familiarizing resource managers historically focused on single-species management with the potential utility of an ecosystem approach to management. This paper details the goals and development of the conceptual model and situates this process in the broader context of best practices for collaborative open science and scientific reproducibility. Further, it highlights a successful path by which the shift towards ecosystem-based management can be actuated.},
+	number = {4},
+	urldate = {2022-08-08},
+	journal = {ICES Journal of Marine Science},
+	author = {DePiper, Geret and Gaichas, Sarah and Muffley, Brandon and Ardini, Greg and Brust, Jeffrey and Coakley, Jessica and Dancy, Kiley and Elliott, G Warren and Leaning, Dustin C and Lipton, Douglas and McNamee, Jason and Perretti, Charles and Rootes-Murdy, Kirby and Wilberg, Michael J},
+	month = aug,
+	year = {2021},
+	pages = {1217--1228},
+	file = {Full Text PDF:/Users/sarah.gaichas/Zotero/storage/QNB5IWWH/DePiper et al. - 2021 - Learning by doing collaborative conceptual modell.pdf:application/pdf;Snapshot:/Users/sarah.gaichas/Zotero/storage/32GVZRVC/6207633.html:text/html},
+}