Practical considerations for operationalizing dynamic management tools

Heather Welch; Elliott L Hazen; Steven J Bograd; Michael G Jacox; Stephanie Brodie; Dale Robinson; Kylie L Scales; Lynn Dewitt; Rebecca Lewison

doi:10.1111/1365-2664.13281

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Practical considerations for operationalizing dynamic management tools

Journal article

Open access

Peer reviewed

Practical considerations for operationalizing dynamic management tools

Heather Welch, Elliott L Hazen, Steven J Bograd, Michael G Jacox, Stephanie Brodie, Dale Robinson, Kylie L Scales, Lynn Dewitt and Rebecca Lewison

Journal of Applied Ecology, Vol.56(2), pp.459-469

2019

DOI: https://doi.org/10.1111/1365-2664.13281

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Abstract

dynamic management

ecological modelling

fisheries bycatch

near real-time

nowcast

operationalization

sensitivity analysis

spatial management

Dynamic management (DM) is a novel approach to spatial management that aligns scales of environmental variability, animal movement and human uses. While static approaches to spatial management rely on one-time assessments of biological, environmental, economic, and/or social conditions, dynamic approaches repeatedly assess conditions to produce regularly updated management recommendations. Owing to this complexity, particularly regarding operational challenges, examples of applied DM are rare. To implement DM, scientific methodologies are operationalized into tools, i.e., self-contained workflows that run automatically at a prescribed temporal frequency (e.g., daily, weekly, monthly). Here we present a start-to-finish framework for operationalizing DM tools, consisting of four stages: Acquisition, Prediction, Dissemination, and Automation. We illustrate this operationalization framework using an applied DM tool as a case study. Our DM tool operates in near real-time and was designed to maximize target catch and minimize bycatch of non-target and protected species in a US-based commercial fishery. It is important to quantify the sensitivity of DM tools to missing data, because dissemination streams for observed (i.e., remotely sensed or directly sampled) data can experience delays or gaps. To address this issue, we perform a detailed example sensitivity analysis using our case study tool. Synthesis and applications. Dynamic management (DM) tools are emerging as viable management solutions to accommodate the biological, environmental, economic, and social variability in our fundamentally dynamic world. Our four-stage operationalization framework and case study can facilitate the implementation of DM tools for a wide array of resource and disturbance management objectives.

Details

Title: Practical considerations for operationalizing dynamic management tools
Authors: Heather Welch (Corresponding Author) - University of California, United States
Elliott L Hazen (Author) - University of California, United States
Steven J Bograd (Author) - University of California, United States
Michael G Jacox (Author) - University of California, United States
Stephanie Brodie (Author) - University of California, United States
Dale Robinson (Author) - University of California, United States
Kylie L Scales (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
Lynn Dewitt (Author) - NOAA Southwest Fisheries Science Center, United States
Rebecca Lewison (Author) - San Diego State University, United States
Publication details: Journal of Applied Ecology, Vol.56(2), pp.459-469
Publisher: Wiley-Blackwell Publishing Ltd.
Date published: 2019
DOI: 10.1111/1365-2664.13281
ISSN: 0021-8901
Copyright note: Copyright © 2018 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
Language: English
Record Identifier: 99451234802621
Output Type: Journal article

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