Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheries
Productivity-susceptibility analysis (PSA) is a widely used data-limited method to assess the relative vulnerability of species impacted by fisheries. Despite its widespread use, few authors have evaluated the impacts of attribute weightings and correlation of productivity attributes that may bias s...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
|
| Series: | Aquatic Living Resources |
| Subjects: | |
| Online Access: | https://www.alr-journal.org/articles/alr/full_html/2019/01/alr180095/alr180095.html |
| _version_ | 1797700809329213440 |
|---|---|
| author | Duffy Leanne M. Griffiths Shane P. |
| author_facet | Duffy Leanne M. Griffiths Shane P. |
| author_sort | Duffy Leanne M. |
| collection | DOAJ |
| description | Productivity-susceptibility analysis (PSA) is a widely used data-limited method to assess the relative vulnerability of species impacted by fisheries. Despite its widespread use, few authors have evaluated the impacts of attribute weightings and correlation of productivity attributes that may bias species' vulnerability scores. We evaluated the PSA methodology and performed sensitivity analyses to determine the impacts of correlation among productivity attributes used in the PSA, given that several of these attributes are strongly correlated. A PSA for species caught in the eastern Pacific Ocean tuna purse-seine fishery was used as an example to assess potential bias introduced by attribute weightings and correlation of productivity attributes on species' vulnerability scores. Redundancy was observed among three pairs of attributes. We demonstrated that manipulation of attribute weightings and removal of correlated attributes did not appreciably change any species' overall vulnerability status. Our results suggest that after removal of redundant attributes, PSAs can be conducted more rapidly with fewer data inputs than previous implementations, while retaining comparable vulnerability scores. |
| first_indexed | 2024-03-12T04:26:55Z |
| format | Article |
| id | doaj.art-7e9bce8d763341e2ba459edfa5293678 |
| institution | Directory Open Access Journal |
| issn | 1765-2952 |
| language | English |
| last_indexed | 2024-03-12T04:26:55Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Aquatic Living Resources |
| spelling | doaj.art-7e9bce8d763341e2ba459edfa52936782023-09-03T10:15:44ZengEDP SciencesAquatic Living Resources1765-29522019-01-01322010.1051/alr/2019018alr180095Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheriesDuffy Leanne M.0Griffiths Shane P.1Inter-American Tropical Tuna CommissionInter-American Tropical Tuna CommissionProductivity-susceptibility analysis (PSA) is a widely used data-limited method to assess the relative vulnerability of species impacted by fisheries. Despite its widespread use, few authors have evaluated the impacts of attribute weightings and correlation of productivity attributes that may bias species' vulnerability scores. We evaluated the PSA methodology and performed sensitivity analyses to determine the impacts of correlation among productivity attributes used in the PSA, given that several of these attributes are strongly correlated. A PSA for species caught in the eastern Pacific Ocean tuna purse-seine fishery was used as an example to assess potential bias introduced by attribute weightings and correlation of productivity attributes on species' vulnerability scores. Redundancy was observed among three pairs of attributes. We demonstrated that manipulation of attribute weightings and removal of correlated attributes did not appreciably change any species' overall vulnerability status. Our results suggest that after removal of redundant attributes, PSAs can be conducted more rapidly with fewer data inputs than previous implementations, while retaining comparable vulnerability scores.https://www.alr-journal.org/articles/alr/full_html/2019/01/alr180095/alr180095.htmlecological risk assessmenttuna fisherycorrelationlife history |
| spellingShingle | Duffy Leanne M. Griffiths Shane P. Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheries Aquatic Living Resources ecological risk assessment tuna fishery correlation life history |
| title | Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheries |
| title_full | Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheries |
| title_fullStr | Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheries |
| title_full_unstemmed | Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheries |
| title_short | Assessing attribute redundancy in the application of productivity-susceptibility analysis to data-limited fisheries |
| title_sort | assessing attribute redundancy in the application of productivity susceptibility analysis to data limited fisheries |
| topic | ecological risk assessment tuna fishery correlation life history |
| url | https://www.alr-journal.org/articles/alr/full_html/2019/01/alr180095/alr180095.html |
| work_keys_str_mv | AT duffyleannem assessingattributeredundancyintheapplicationofproductivitysusceptibilityanalysistodatalimitedfisheries AT griffithsshanep assessingattributeredundancyintheapplicationofproductivitysusceptibilityanalysistodatalimitedfisheries |