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

By D. Ricard, Cóilín Minto, O. Jensen, J. Baum. 2012

417 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/f6d3d944b25654ac536d5dafd96f2ede46fd6801

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In Ecology

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Extinction risk and conservation of the world’s sharks and rays (2013, background): “…change is derived mainly from retrospective analyses usually limited to biased subsamples of diversity, such as: charismatic species, commercially-important fisheries, and coral reef ecosystems (Carpenter et al., 2008; Collette et al., 2011; McClenachan et al., 2012; Ricard et al., 2012).”
The future of food from the sea (2019, background): “Recent studies conclude that the majority of assessed fish stocks are in a healthy condition (FAO 2018; Costello et al. 2012, 2016; Ricard et al. 2012; Hilborn and Ovando 2014).”
Global catches, exploitation rates, and rebuilding options for sharks (2013, methodology): “Published estimates of instantaneous fishing mortality (F) for assessed shark populations were extracted from the global RAM Legacy database of stock assessments [21] and other peer-reviewed sources.”
Effective fisheries management instrumental in improving fish stock status (2020, methodology): “5 percentiles of UMSY and BMSY estimated in stock 145 assessments; reference point estimates were rejected if any failures were observed: (4) 0.”
Reproductive resilience: a paradigm shift in understanding spawner-recruit systems in exploited marine fish (2017, positive): “Comparative and meta-analytical studies of large databases (e.g. Ricard et al. 2012) can be used to assess recruitment variability for a wide range of species, by calculating an index based on the variability seen in annual recruitment per unit of SSB over the potential reproductive lifespan.”
Effects of biological, economic and management factors on tuna and billfish stock status (2017, methodology): “162 163 Data 164 165 Data used to assess the status of tunas and billfishes were obtained from stock assessment 166 outputs compiled in the RAM Legacy Stock Assessment Database (Ricard et al. 2012).”
Stock assessment in inland fisheries: a foundation for sustainable use and conservation (2016, methodology): “A huge amount of biological data on many fish species (and populations within a species) has been collated in databases such as FishBase (Froese and Pauly 2014); the RAM Legacy Stock Assessment Database (Ricard et al. 2012); the Multi-state Aquatic Resources Information System (MARIS) (Beard et al. ”
From archives to conservation: why historical data are needed to set baselines for marine animals and ecosystems (2012, background): “In the management of large-scale fisheries like for tunas and groundfishes, early time series and historical data can contextualize current stock status and inform strategic decisions about recovery goals (Ricard et al. 2012).”
Reflections on the success of traditional fisheries management (2014, methodology): “The RAM Legacy database (Ricard et al., 2012), initially created for the working group that produced Worm et al.”