Linking knowledge to action in ocean ecosystem management: The Ocean Modeling Forum

Francis, Tessa B.; Levin, Phillip S.; Punt, Andre E.; Kaplan, Isaac C.; Varney, Anna; Norman, Karma

doi:10.1525/elementa.338

i

Linking knowledge to action in ocean ecosystem management: The Ocean Modeling Forum

2018
By Francis, Tessa B. ; Levin, Phillip S. ; Punt, Andre E. ; ...

Details

Journal Title:

Elementa: Science of the Anthropocene
Personal Author:

Francis, Tessa B. ; Levin, Phillip S. ; Punt, Andre E. ; Kaplan, Isaac C. ; Varney, Anna ; Norman, Karma
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center)
Description:

The sustainable use of global marine resources depends upon science-based decision processes and systems. Informing decisions with science is challenging for many reasons, including the nature of science and science-based institutions. The complexity of ecosystem-based management often requires the use of models, and model-based advice can be especially difficult to convert into policies or decisions. Here, we suggest five characteristics of model-based information and advice for successfully informing ocean management decision-making, based on the Ocean Modeling Forum framework. Illustrated by examples from two fisheries case studies, Pacific sardines Sardinops sagax and Pacific herring Clupea pallasii, we argue that actionable model-based output should be aspirational, applicable, parsimonious, co-produced, and amplifying.
Keywords:

Atmospheric Science Ecology Environmental Engineering Geology Geotechnical Engineering And Engineering Geology Oceanography Geotechnical Engineering And Engineering Geology Geotechnical Engineering And Engineering Geology
Source:

Elementa: Science of the Anthropocene, 6
DOI:

https://doi.org/10.1525/elementa.338
ISSN:

2325-1026
Format:

PDF
Publisher:

University of California Press
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha-512:6638ea1e75470d4cf5b7059bd11f8ddb3f5a3859b112eeb2199eba36de82be8a88730ee86f51ae1226a0422e8ba68640a9826a654bb1d2e54faf25e5b56e4327
Download URL:

https://repository.library.noaa.gov/view/noaa/63256/noaa_63256_DS1.pdf
File Type:

[PDF - 3.56 MB ]

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