A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries
Developing a typology of heterogeneous fishing practices through the use of métier analysis is a useful step in understanding the dynamics of fishing fleets and enabling effective implementation of management outcomes. We develop a non-hierarchical clustering framework to quantitatively categorize i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-11-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2020.552391/full |
| _version_ | 1818205085579083776 |
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| author | Mahdi Parsa Timothy J. Emery Ashley J. Williams Simon Nicol Simon Nicol |
| author_facet | Mahdi Parsa Timothy J. Emery Ashley J. Williams Simon Nicol Simon Nicol |
| author_sort | Mahdi Parsa |
| collection | DOAJ |
| description | Developing a typology of heterogeneous fishing practices through the use of métier analysis is a useful step in understanding the dynamics of fishing fleets and enabling effective implementation of management outcomes. We develop a non-hierarchical clustering framework to quantitatively categorize individual fishing events to a particular métier based on corresponding catch composition, gear configuration, and spatial and temporal references. Our clustering framework has several innovations over predecessors including: (i) introducing alternative methods for encoding and transforming fisheries data; (ii) variable (feature) selection methods; (iii) complementary metrics and methods for internal métier validation; and (iv) use of a network science method to model and analyze fishing practices. To demonstrate applicability, we apply this framework to the Australian Eastern Tuna and Billfish Fishery (ETBF), a multispecies pelagic longline fishery with a diversity of fishing practices. We identified a total of seven stable métiers within the ETBF. While each métier was characterized by a predominant target species, they were differentiated more by seasonal and temporal references (e.g., time of set, month, latitude) than gear configuration (e.g., hooks per basket) or target species. By collapsing a large amount of high-dimensional operational data into a relatively uniform and limited number of components, decision-makers can more easily evaluate the likely consequences of management and design policies that target a particular métier. |
| first_indexed | 2024-12-12T03:51:32Z |
| format | Article |
| id | doaj.art-7043f8b94f024286b3a21e85ecab70ad |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-12-12T03:51:32Z |
| publishDate | 2020-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-7043f8b94f024286b3a21e85ecab70ad2022-12-22T00:39:23ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452020-11-01710.3389/fmars.2020.552391552391A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial FisheriesMahdi Parsa0Timothy J. Emery1Ashley J. Williams2Simon Nicol3Simon Nicol4Australian Bureau of Agricultural and Resource Economics and Sciences, Department of Agriculture, Water and the Environment, Canberra, ACT, AustraliaAustralian Bureau of Agricultural and Resource Economics and Sciences, Department of Agriculture, Water and the Environment, Canberra, ACT, AustraliaAustralian Bureau of Agricultural and Resource Economics and Sciences, Department of Agriculture, Water and the Environment, Canberra, ACT, AustraliaInstitute for Applied Ecology, University of Canberra, Bruce, ACT, AustraliaOceanic Fisheries Programme, Pacific Community, Noumea, New CaledoniaDeveloping a typology of heterogeneous fishing practices through the use of métier analysis is a useful step in understanding the dynamics of fishing fleets and enabling effective implementation of management outcomes. We develop a non-hierarchical clustering framework to quantitatively categorize individual fishing events to a particular métier based on corresponding catch composition, gear configuration, and spatial and temporal references. Our clustering framework has several innovations over predecessors including: (i) introducing alternative methods for encoding and transforming fisheries data; (ii) variable (feature) selection methods; (iii) complementary metrics and methods for internal métier validation; and (iv) use of a network science method to model and analyze fishing practices. To demonstrate applicability, we apply this framework to the Australian Eastern Tuna and Billfish Fishery (ETBF), a multispecies pelagic longline fishery with a diversity of fishing practices. We identified a total of seven stable métiers within the ETBF. While each métier was characterized by a predominant target species, they were differentiated more by seasonal and temporal references (e.g., time of set, month, latitude) than gear configuration (e.g., hooks per basket) or target species. By collapsing a large amount of high-dimensional operational data into a relatively uniform and limited number of components, decision-makers can more easily evaluate the likely consequences of management and design policies that target a particular métier.https://www.frontiersin.org/articles/10.3389/fmars.2020.552391/fullbehaviorEastern Tuna and Billfish Fisheryfishing stylesfishing fleetsfisheries managementfishing tactics |
| spellingShingle | Mahdi Parsa Timothy J. Emery Ashley J. Williams Simon Nicol Simon Nicol A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries Frontiers in Marine Science behavior Eastern Tuna and Billfish Fishery fishing styles fishing fleets fisheries management fishing tactics |
| title | A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries |
| title_full | A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries |
| title_fullStr | A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries |
| title_full_unstemmed | A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries |
| title_short | A Robust Métier-Based Approach to Classifying Fishing Practices Within Commercial Fisheries |
| title_sort | robust metier based approach to classifying fishing practices within commercial fisheries |
| topic | behavior Eastern Tuna and Billfish Fishery fishing styles fishing fleets fisheries management fishing tactics |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2020.552391/full |
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