A Quantitative Metric to Identify Critical Elements within Seafood Supply Networks

Plagányi, Eva E., van Putten, Ingrid, Thébaud, Olivier, Hobday, Alistair J., Innes, James, Lim-Camacho, Lilly, Norman-López, Ana, Bustamante, Rodrigo H., Farmery, Anna, Fleming, Aysha, Frusher, Stewart, Green, Bridget, Hoshino, Eriko, Jennings, Sarah, Pecl, Gretta, Pascoe, Sean, Schrobback, Peggy and Thomas, Linda (2014) A Quantitative Metric to Identify Critical Elements within Seafood Supply Networks. PLoS One, 9 3: e91833.1-e91833.15. doi:10.1371/journal.pone.0091833

Author Plagányi, Eva E.
van Putten, Ingrid
Thébaud, Olivier
Hobday, Alistair J.
Innes, James
Lim-Camacho, Lilly
Norman-López, Ana
Bustamante, Rodrigo H.
Farmery, Anna
Fleming, Aysha
Frusher, Stewart
Green, Bridget
Hoshino, Eriko
Jennings, Sarah
Pecl, Gretta
Pascoe, Sean
Schrobback, Peggy
Thomas, Linda
Title A Quantitative Metric to Identify Critical Elements within Seafood Supply Networks
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2014-03-14
Sub-type Article (original research)
DOI 10.1371/journal.pone.0091833
Open Access Status DOI
Volume 9
Issue 3
Start page e91833.1
End page e91833.15
Total pages 15
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Language eng
Abstract A theoretical basis is required for comparing key features and critical elements in wild fisheries and aquaculture supply chains under a changing climate. Here we develop a new quantitative metric that is analogous to indices used to analyse food-webs and identify key species. The Supply Chain Index (SCI) identifies critical elements as those elements with large throughput rates, as well as greater connectivity. The sum of the scores for a supply chain provides a single metric that roughly captures both the resilience and connectedness of a supply chain. Standardised scores can facilitate cross-comparisons both under current conditions as well as under a changing climate. Identification of key elements along the supply chain may assist in informing adaptation strategies to reduce anticipated future risks posed by climate change. The SCI also provides information on the relative stability of different supply chains based on whether there is a fairly even spread in the individual scores of the top few key elements, compared with a more critical dependence on a few key individual supply chain elements. We use as a case study the Australian southern rock lobster Jasus edwardsii fishery, which is challenged by a number of climate change drivers such as impacts on recruitment and growth due to changes in large-scale and local oceanographic features. The SCI identifies airports, processors and Chinese consumers as the key elements in the lobster supply chain that merit attention to enhance stability and potentially enable growth. We also apply the index to an additional four real-world Australian commercial fishery and two aquaculture industry supply chains to highlight the utility of a systematic method for describing supply chains. Overall, our simple methodological approach to empirically-based supply chain research provides an objective method for comparing the resilience of supply chains and highlighting components that may be critical.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Economics Publications
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 11 times in Scopus Article | Citations
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Created: Wed, 28 Sep 2016, 20:55:35 EST by Ms Peggy Schrobback on behalf of School of Economics