The influence of stock structure and environmental conditions on the recruitment process of Baltic cod estimated using a generalized additive model

By Massimiliano Cardinale, F. Arrhenius. 2000

104 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/05cf3b59f18d0cd314ab3ba1bfa77dfa39ffb4ea

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In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Essential relationships incorporating the influence of age, size and condition on variables required for estimation of reproductive potential in Atlantic cod Gadus morhua (2002, background): “…on maternal effects has stimulated modelers to re-estimate reproductive potential by incorporating reproductive variables that influence total egg production (Marshall et al. 1998, 1999, Murawski et al. 1999, Scott et al. 1999, Cardinale & Arrhenius 2000a,b, Marteinsdottir et al. 2000a).”
GLMs, GAMs and GLMMs: an overview of theory for applications in fisheries research (2004, background): “…environmental variables for erstanding and predicting abundance (e.g.Borchers t al., 1997; Bigelow et al., 1999; Denis et al., 20 rynjarsd́ottir and Stef́ansson, 2004), stock or specie tructure (e.g.Cardinale and Arrhenius, 2000; Venab nd Dichmont, 2004) or distribution (e.g.Wright et al., 000).”
Fast versus slow growing tuna species: age, growth, and implications for population dynamics and fisheries management (2017, background): “This assumption implies that the survival rates of offspring are independent of parental age, growth, body size, or condition (Cardinale and Arrhenius 2000; Murua and Saborido-Rey 2003), and are invariant over time.”
Winter distribution of blue crab Callinectes sapidus in Chesapeake Bay : application and cross-validation of a two-stage generalized additive model (2005, background): “GAMs have since become widely used in marine sciences to predict abundance and identify important habitats (e.g. Swartzman et al. 1995, Maravelias et al. 2000a) and to model stock-recruitment relationships (Cardinale & Arrhenius 2000).”
Multidecadal trends for three declining fish species: habitat patterns and mechanisms in the San Francisco Estuary, California, USA (2007, background): “…author (e-mail: ffeyrer@water.ca.gov). fish–habitat relationships and long-term trends in habitat suitability is critical because abiotic habitat components can affect the population dynamics of fishes in most habitat types (e.g., Cardinale and Arrhenius 2000; Claramunt and Wahl 2000; Rose 2000).”
Modelling recruitment and abundance of Atlantic cod, Gadus morhua, in the eastern Skagerrak-Kattegat (North Sea): evidence of severe depletion due to a prolonged period of high fishing pressure (2004, background): “For eastern Baltic cod, the repeat spawners were the age classes older than 5 years ( Cardinale and Arrhenius, 2000b ).”