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A quantitative metric to identify critical elements within seafood supply networks.
Plagányi, Éva 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.
Afiliação
  • Plagányi ÉE; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.
  • van Putten I; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Hobart, Tasmania, Australia.
  • Thébaud O; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.
  • Hobday AJ; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Hobart, Tasmania, Australia.
  • Innes J; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.
  • Lim-Camacho L; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.
  • Norman-López A; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.
  • Bustamante RH; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.
  • Farmery A; University of Tasmania, Hobart, Tasmania, Australia.
  • Fleming A; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Hobart, Tasmania, Australia.
  • Frusher S; University of Tasmania, Hobart, Tasmania, Australia.
  • Green B; University of Tasmania, Hobart, Tasmania, Australia.
  • Hoshino E; University of Tasmania, Hobart, Tasmania, Australia.
  • Jennings S; University of Tasmania, Hobart, Tasmania, Australia.
  • Pecl G; University of Tasmania, Hobart, Tasmania, Australia.
  • Pascoe S; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.
  • Schrobback P; Queensland University of Technology, Brisbane, Queensland, Australia.
  • Thomas L; Climate Adaptation Flagship, Commonwealth Scientific and Industrial Research Organisation, Hobart, Tasmania, Australia.
PLoS One ; 9(3): e91833, 2014.
Article em En | MEDLINE | ID: mdl-24633147
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Alimentos Marinhos / Abastecimento de Alimentos / Modelos Teóricos Tipo de estudo: Prognostic_studies Aspecto: Determinantes_sociais_saude Limite: Animals / Humans Idioma: En Revista: PLoS One Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Alimentos Marinhos / Abastecimento de Alimentos / Modelos Teóricos Tipo de estudo: Prognostic_studies Aspecto: Determinantes_sociais_saude Limite: Animals / Humans Idioma: En Revista: PLoS One Ano de publicação: 2014 Tipo de documento: Article