FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2320031636> ?p ?o ?g. }

• W2320031636 endingPage "232" @default.
• W2320031636 startingPage "215" @default.
• W2320031636 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 523:215-232 (2015) - DOI: https://doi.org/10.3354/meps11129 Simulations to evaluate management trade-offs among marine mammal consumption needs, commercial fishing fleets and finfish biomass Laurel Smith*, Robert Gamble, Sarah Gaichas, Jason Link NOAA/Northeast Fisheries Science Center, 166 Water St., Woods Hole, MA 02543, USA *Corresponding author: laurel.smith@noaa.gov ABSTRACT: In setting fisheries management quotas, fish interactions with marine mammals are seldom considered. Even less often considered are indirect effects from fishing and species interactions or potential changes to ecosystem structure as marine mammal populations rebuild. To explore these interactions, we used a multi-species production model to evaluate the interactions between mixed fleet fisheries, their target species, and marine mammals, in an ecosystem representative of the Northeast USA continental shelf. We simulated changes to biomass and catch trajectories and compared these to the associated biological reference points for commercially important finfish and the current biomass levels of marine mammals. Marine mammal populations increased over time in our simulations (even with varying degrees of dependence on commercial species as prey) except when direct human-induced mortality was set much higher than observed. Greatly increased fishing mortality can reduce the rate of population increase for marine mammals, slowing recovery for some populations. This is due to the combination of reduced prey and increased interactions with fishing vessels (bycatch or vessel strikes) as fishing effort increases. Our model suggests that managing human-induced direct mortality of marine mammals is the most important factor for the recovery of their populations, but fishery management plays an important role in avoiding the additional stress of reduced prey populations. Marine mammal predation can also affect trajectories and reference points for commercially fished species. These types of evaluations of direct human-induced mortalities as well as trade-offs between mixed fishery fleets and protected species requirements are essential for the transition to ecosystem-based fisheries management. KEY WORDS: Multi-species modelling · Trade-off evaluation · Reference points · Competing fishing fleets · Protected species requirements · Ecosystem-based fisheries management Full text in pdf format PreviousNextCite this article as: Smith L, Gamble R, Gaichas S, Link J (2015) Simulations to evaluate management trade-offs among marine mammal consumption needs, commercial fishing fleets and finfish biomass. Mar Ecol Prog Ser 523:215-232. https://doi.org/10.3354/meps11129 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 523. Online publication date: March 16, 2015 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2015 Inter-Research." @default.
• W2320031636 created "2016-06-24" @default.
• W2320031636 creator A5013869297 @default.
• W2320031636 creator A5028491224 @default.
• W2320031636 creator A5042853403 @default.
• W2320031636 creator A5083581198 @default.
• W2320031636 date "2015-03-16" @default.
• W2320031636 modified "2023-10-17" @default.
• W2320031636 title "Simulations to evaluate management trade-offs among marine mammal consumption needs, commercial fishing fleets and finfish biomass" @default.
• W2320031636 cites W1493324590 @default.
• W2320031636 cites W1500161155 @default.
• W2320031636 cites W1604083490 @default.
• W2320031636 cites W1897405904 @default.
• W2320031636 cites W1966581256 @default.
• W2320031636 cites W1975231833 @default.
• W2320031636 cites W1982950610 @default.
• W2320031636 cites W1985342263 @default.
• W2320031636 cites W1991741163 @default.
• W2320031636 cites W1993362798 @default.
• W2320031636 cites W1999360302 @default.
• W2320031636 cites W1999770504 @default.
• W2320031636 cites W2000871131 @default.
• W2320031636 cites W2007881614 @default.
• W2320031636 cites W2011067938 @default.
• W2320031636 cites W2012006179 @default.
• W2320031636 cites W2012325732 @default.
• W2320031636 cites W2012742697 @default.
• W2320031636 cites W2012800330 @default.
• W2320031636 cites W2013713764 @default.
• W2320031636 cites W2019681854 @default.
• W2320031636 cites W2023474632 @default.
• W2320031636 cites W2023660673 @default.
• W2320031636 cites W2025673240 @default.
• W2320031636 cites W2027302157 @default.
• W2320031636 cites W2029345767 @default.
• W2320031636 cites W2044351200 @default.
• W2320031636 cites W2044385628 @default.
• W2320031636 cites W2045380154 @default.
• W2320031636 cites W2045450472 @default.
• W2320031636 cites W2047989966 @default.
• W2320031636 cites W2051509959 @default.
• W2320031636 cites W2052877474 @default.
• W2320031636 cites W2063428719 @default.
• W2320031636 cites W2070457290 @default.
• W2320031636 cites W2071330744 @default.
• W2320031636 cites W2072956050 @default.
• W2320031636 cites W2081645934 @default.
• W2320031636 cites W2082119996 @default.
• W2320031636 cites W2085273858 @default.
• W2320031636 cites W2085388310 @default.
• W2320031636 cites W2088123491 @default.
• W2320031636 cites W2089497050 @default.
• W2320031636 cites W2089962236 @default.
• W2320031636 cites W2092252783 @default.
• W2320031636 cites W2102849960 @default.
• W2320031636 cites W2107191578 @default.
• W2320031636 cites W2111673492 @default.
• W2320031636 cites W2112446421 @default.
• W2320031636 cites W2131129168 @default.
• W2320031636 cites W2136443344 @default.
• W2320031636 cites W2137019082 @default.
• W2320031636 cites W2137345678 @default.
• W2320031636 cites W2137523123 @default.
• W2320031636 cites W2138829457 @default.
• W2320031636 cites W2140283919 @default.
• W2320031636 cites W2140613131 @default.
• W2320031636 cites W2144872997 @default.
• W2320031636 cites W2145334070 @default.
• W2320031636 cites W2145378599 @default.
• W2320031636 cites W2146606597 @default.
• W2320031636 cites W2148629015 @default.
• W2320031636 cites W2155592180 @default.
• W2320031636 cites W2156695268 @default.
• W2320031636 cites W2159666708 @default.
• W2320031636 cites W2160792582 @default.
• W2320031636 cites W2161128545 @default.
• W2320031636 cites W2162186175 @default.
• W2320031636 cites W2164095952 @default.
• W2320031636 cites W2167607966 @default.
• W2320031636 cites W2179926237 @default.
• W2320031636 cites W2312190857 @default.
• W2320031636 cites W2312401788 @default.
• W2320031636 cites W2314105712 @default.
• W2320031636 cites W2314209220 @default.
• W2320031636 cites W2322234741 @default.
• W2320031636 cites W2324276830 @default.
• W2320031636 cites W2331305604 @default.
• W2320031636 doi "https://doi.org/10.3354/meps11129" @default.
• W2320031636 hasPublicationYear "2015" @default.
• W2320031636 type Work @default.
• W2320031636 sameAs 2320031636 @default.
• W2320031636 citedByCount "8" @default.
• W2320031636 countsByYear W23200316362016 @default.
• W2320031636 countsByYear W23200316362017 @default.
• W2320031636 countsByYear W23200316362018 @default.
• W2320031636 countsByYear W23200316362020 @default.
• W2320031636 countsByYear W23200316362021 @default.
• W2320031636 countsByYear W23200316362023 @default.

• next