FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2949078101> ?p ?o ?g. }

• W2949078101 endingPage "113" @default.
• W2949078101 startingPage "89" @default.
• W2949078101 abstract "MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 625:89-113 (2019) - DOI: https://doi.org/10.3354/meps13032 Ecological Assessment of the Sustainable Impacts of Fisheries (EASI-Fish): a flexible vulnerability assessment approach to quantify the cumulative impacts of fishing in data-limited settings Shane P. Griffiths1,*, Kathleen Kesner-Reyes2, Cristina Garilao3, Leanne M. Duffy1, Marlon H. Román1 1Inter-American Tropical Tuna Commission, 8901 La Jolla Shores Drive, La Jolla, CA 92037, USA 2Quantitative Aquatics, Inc., Khush Hall, International Rice Research Institute, Los Baños, 4031 Laguna, Philippines 3GEOMAR Helmholtz Centre for Ocean Research Kiel, 24148 Kiel, Germany *Corresponding author: sgriffiths@iattc.org ABSTRACT: In fisheries, vulnerability assessments—also commonly known as ecological risk assessments (ERAs)—have been an increasingly popular alternative to stock assessments to evaluate the vulnerability of non-target species in resource- and data-limited settings. The widely-used productivity-susceptibility analysis (PSA) requires detailed species-specific biological information and fishery susceptibility for a large number of parameters to produce a relative vulnerability score. The two major disadvantages of PSA are that each species is assessed against an arbitrary reference point, and PSA cannot quantify cumulative impacts of multiple fisheries. This paper introduces an Ecological Assessment of the Sustainable Impacts of Fisheries (EASI-Fish), a flexible approach that quantifies the cumulative impacts of fisheries on data-limited bycatch species, demonstrated in eastern Pacific Ocean (EPO) tuna fisheries. The method first estimates fishing mortality (F) based on the ‘volumetric overlap’ of each fishery with the distribution of each species. F is then used in length-structured per-recruit models to assess population vulnerability status using conventional biological reference points. Model results were validated by comparison with stock assessments for bigeye and yellowfin tunas in the EPO for 2016. Application of the model to 24 species of epipelagic and mesopelagic teleosts, sharks, rays, sea turtles and cetaceans and identification of the most vulnerable species is demonstrated. With increasing demands on fisheries to demonstrate ecological sustainability, EASI-Fish allows fishery managers to more confidently identify vulnerable species to which resources can be directed to either implement mitigation measures or collect further data for more formal stock assessment. KEY WORDS: Productivity-susceptibility analysis · Ecological risk assessment · Data-poor · Fisheries Full text in pdf format Supplement 1Supplement 2 PreviousNextCite this article as: Griffiths SP, Kesner-Reyes K, Garilao C, Duffy LM, Román MH (2019) Ecological Assessment of the Sustainable Impacts of Fisheries (EASI-Fish): a flexible vulnerability assessment approach to quantify the cumulative impacts of fishing in data-limited settings. Mar Ecol Prog Ser 625:89-113. https://doi.org/10.3354/meps13032 Export citation Mail this link - Contents Mailing Lists - RSS Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 625. Online publication date: August 29, 2019 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2019 Inter-Research." @default.
• W2949078101 created "2019-06-27" @default.
• W2949078101 creator A5006593930 @default.
• W2949078101 creator A5033966069 @default.
• W2949078101 creator A5036942111 @default.
• W2949078101 creator A5037267902 @default.
• W2949078101 creator A5048217049 @default.
• W2949078101 date "2019-08-29" @default.
• W2949078101 modified "2023-09-27" @default.
• W2949078101 title "Ecological Assessment of the Sustainable Impacts of Fisheries (EASI-Fish): a flexible vulnerability assessment approach to quantify the cumulative impacts of fishing in data-limited settings" @default.
• W2949078101 cites W1224933464 @default.
• W2949078101 cites W142584611 @default.
• W2949078101 cites W1534809049 @default.
• W2949078101 cites W1955079551 @default.
• W2949078101 cites W1963546831 @default.
• W2949078101 cites W1966726255 @default.
• W2949078101 cites W1969769143 @default.
• W2949078101 cites W1972932606 @default.
• W2949078101 cites W1977155969 @default.
• W2949078101 cites W1980814141 @default.
• W2949078101 cites W1982397523 @default.
• W2949078101 cites W1985024976 @default.
• W2949078101 cites W1987321309 @default.
• W2949078101 cites W1993427424 @default.
• W2949078101 cites W1995684483 @default.
• W2949078101 cites W2004238626 @default.
• W2949078101 cites W2004977326 @default.
• W2949078101 cites W2005587094 @default.
• W2949078101 cites W2010902504 @default.
• W2949078101 cites W2012305754 @default.
• W2949078101 cites W2019651485 @default.
• W2949078101 cites W2037147101 @default.
• W2949078101 cites W2037641200 @default.
• W2949078101 cites W2040843751 @default.
• W2949078101 cites W2056220746 @default.
• W2949078101 cites W2057695258 @default.
• W2949078101 cites W2059323823 @default.
• W2949078101 cites W2063628002 @default.
• W2949078101 cites W2068779873 @default.
• W2949078101 cites W2069428329 @default.
• W2949078101 cites W2075385168 @default.
• W2949078101 cites W2076726108 @default.
• W2949078101 cites W2081557542 @default.
• W2949078101 cites W2085539873 @default.
• W2949078101 cites W2088771040 @default.
• W2949078101 cites W2093388822 @default.
• W2949078101 cites W2093523683 @default.
• W2949078101 cites W2094097304 @default.
• W2949078101 cites W2094303499 @default.
• W2949078101 cites W2094925396 @default.
• W2949078101 cites W2096909158 @default.
• W2949078101 cites W2097057151 @default.
• W2949078101 cites W2099653221 @default.
• W2949078101 cites W2100579630 @default.
• W2949078101 cites W2102085304 @default.
• W2949078101 cites W2107801130 @default.
• W2949078101 cites W2110194984 @default.
• W2949078101 cites W2110310854 @default.
• W2949078101 cites W2117994187 @default.
• W2949078101 cites W2123356726 @default.
• W2949078101 cites W2124951546 @default.
• W2949078101 cites W2126233020 @default.
• W2949078101 cites W2126907273 @default.
• W2949078101 cites W2130259933 @default.
• W2949078101 cites W2130870465 @default.
• W2949078101 cites W2133503319 @default.
• W2949078101 cites W2138353057 @default.
• W2949078101 cites W2139658635 @default.
• W2949078101 cites W2140252841 @default.
• W2949078101 cites W2150667840 @default.
• W2949078101 cites W2153506831 @default.
• W2949078101 cites W2156709416 @default.
• W2949078101 cites W2166240205 @default.
• W2949078101 cites W2167001785 @default.
• W2949078101 cites W2169609153 @default.
• W2949078101 cites W2171275516 @default.
• W2949078101 cites W2174306386 @default.
• W2949078101 cites W2175647504 @default.
• W2949078101 cites W2326373559 @default.
• W2949078101 cites W2326788750 @default.
• W2949078101 cites W2533215427 @default.
• W2949078101 cites W2552200043 @default.
• W2949078101 cites W2737644475 @default.
• W2949078101 cites W2747472390 @default.
• W2949078101 cites W2889877622 @default.
• W2949078101 cites W2955911491 @default.
• W2949078101 cites W2971107936 @default.
• W2949078101 cites W4317883059 @default.
• W2949078101 doi "https://doi.org/10.3354/meps13032" @default.
• W2949078101 hasPublicationYear "2019" @default.
• W2949078101 type Work @default.
• W2949078101 sameAs 2949078101 @default.
• W2949078101 citedByCount "20" @default.
• W2949078101 countsByYear W29490781012019 @default.
• W2949078101 countsByYear W29490781012020 @default.
• W2949078101 countsByYear W29490781012021 @default.
• W2949078101 countsByYear W29490781012022 @default.
• W2949078101 countsByYear W29490781012023 @default.

• next