Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database DOI

D. Ricard,

Cóilín Minto, Olaf P. Jensen

et al.

Fish and Fisheries, Journal Year: 2011, Volume and Issue: 13(4), P. 380 - 398

Published: Aug. 17, 2011

Abstract Meta‐analyses of stock assessments can provide novel insight into marine population dynamics and the status fished species, but world’s main assessment database (the Myers Stock‐Recruitment Database) is now outdated. To facilitate new analyses, we developed a database, RAM Legacy Stock Assessment Database, for commercially exploited fishes invertebrates. Time series total biomass, spawner recruits, fishing mortality catch/landings form core database. Assessments were assembled from 21 national international management agencies 331 stocks (295 fish representing 46 families 36 invertebrate 12 families), including nine 10 largest fisheries. available 27 large ecosystems, Caspian Sea four High Seas regions, include Atlantic, Pacific, Indian, Arctic Antarctic Oceans. Most came USA, Europe, Canada, New Zealand Australia. Assessed represent small proportion harvested taxa (16%), an even smaller biodiversity (1%), high‐quality data intensively studied stocks. The provides populations: 58% with reference points ( n = 214) estimated to be below biomass resulting in maximum sustainable yield B MSY ) 30% had exploitation levels above rate U ). We anticipate that will research fishery management, encourage further contributions scientists.

Language: Английский

Polar ocean ecosystems in a changing world DOI
Victor Smetacek,

Stephen Nicol

Nature, Journal Year: 2005, Volume and Issue: 437(7057), P. 362 - 368

Published: Sept. 1, 2005

Language: Английский

Citations

463
Climate change alters the structure of arctic marine food webs due to poleward shifts of boreal generalists DOI Creative Commons
Susanne Kortsch, Raul Primicerio, Maria Fossheim

et al.

Proceedings of the Royal Society B Biological Sciences, Journal Year: 2015, Volume and Issue: 282(1814), P. 20151546 - 20151546

Published: Sept. 4, 2015

Climate-driven poleward shifts, leading to changes in species composition and relative abundances, have been recently documented the Arctic. Among fastest moving are boreal generalist fish which expected affect arctic marine food web structure ecosystem functioning substantially. Here, we address structural at level induced by shifts via topological network analysis of highly resolved webs Barents Sea. We detected considerable differences properties link configuration between webs, latter being more modular less connected. found that a main characteristic into region Sea is high generalism, property increases connectance reduces modularity web. Our results reveal habitats form natural boundaries for modules, generalists play an important functional role coupling pelagic benthic modules. posit these habitat couplers potential promote transfer energy matter habitats, but also spread pertubations, thereby changing considerably with implications dynamics functioning.

Language: Английский

Citations

430
Environmental DNA metabarcoding reveals local fish communities in a species-rich coastal sea DOI Creative Commons
Satoshi Yamamoto, Reiji Masuda, Yukuto Sato

et al.

Scientific Reports, Journal Year: 2017, Volume and Issue: 7(1)

Published: Jan. 12, 2017

Abstract Environmental DNA (eDNA) metabarcoding has emerged as a potentially powerful tool to assess aquatic community structures. However, the method hitherto lacked field tests that evaluate its effectiveness and practical properties biodiversity monitoring tool. Here, we evaluated ability of eDNA reveal fish structures in species-rich coastal waters. High-performance fish-universal primers systematic spatial water sampling at 47 stations covering ~11 km 2 revealed structure species resolution. The based on 6-h collection samples detected 128 species, which 62.5% (40 species) were also observed by underwater visual censuses conducted over 14-year period. This other local fishes (≥23 not censuses. These features will enhance marine ecosystem-related research, become standard for surveying communities.

Language: Английский

Citations

426
Regime shifts in marine ecosystems: detection, prediction and management DOI
Brad deYoung, Manuel Barangé, Grégory Beaugrand

et al.

Trends in Ecology & Evolution, Journal Year: 2008, Volume and Issue: 23(7), P. 402 - 409

Published: May 23, 2008

Language: Английский

Citations

401
Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database DOI

D. Ricard,

Cóilín Minto, Olaf P. Jensen

et al.

Fish and Fisheries, Journal Year: 2011, Volume and Issue: 13(4), P. 380 - 398

Published: Aug. 17, 2011

Abstract Meta‐analyses of stock assessments can provide novel insight into marine population dynamics and the status fished species, but world’s main assessment database (the Myers Stock‐Recruitment Database) is now outdated. To facilitate new analyses, we developed a database, RAM Legacy Stock Assessment Database, for commercially exploited fishes invertebrates. Time series total biomass, spawner recruits, fishing mortality catch/landings form core database. Assessments were assembled from 21 national international management agencies 331 stocks (295 fish representing 46 families 36 invertebrate 12 families), including nine 10 largest fisheries. available 27 large ecosystems, Caspian Sea four High Seas regions, include Atlantic, Pacific, Indian, Arctic Antarctic Oceans. Most came USA, Europe, Canada, New Zealand Australia. Assessed represent small proportion harvested taxa (16%), an even smaller biodiversity (1%), high‐quality data intensively studied stocks. The provides populations: 58% with reference points ( n = 214) estimated to be below biomass resulting in maximum sustainable yield B MSY ) 30% had exploitation levels above rate U ). We anticipate that will research fishery management, encourage further contributions scientists.

Language: Английский

Citations

397