NONADDITIVE EFFECTS OF THE ENVIRONMENT ON THE SURVIVAL OF A LARGE MARINE FISH POPULATION

By Lorenzo Ciannelli, Kung-Sik Chan, K. Bailey, Nils Chr. Stenseth. 2004

179 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e1f96bf95fbd662540408ad39f825d9bd8ce8b66

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In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Overfishing of top predators eroded the resilience of the Black Sea system regardless of the climate and anthropogenic conditions (2011, methodology): “, without threshold) it is necessary to account for the additional parameter used for the threshold search (Ciannelli et al., 2004).”
Spatial fisheries ecology: Recent progress and future prospects (2008, methodology): “Moreover, it is well-established that species– environment interactions are complex, as they vary over different observational scales (Fauchald et al., 2000), and can be nonlinear (Stenseth et al., 2002; Dingsør et al., 2007) and nonadditive (Ciannelli et al., 2004a).”
Spatial and temporal density dependence regulates the condition of central Baltic Sea clupeids: compelling evidence using an extensive international acoustic survey (2011, unknown): “TGAMs (Ciannelli et al. 2004) confirmed that clear-cut differences in sprat density among SDs became apparent only after the early 1990s (Fig.”
The Bering Sea—A dynamic food web perspective (2007, background): “Copepods are a major prey for zooplanktivores, particularly larval and juvenile walleye pollock (Theragra chalcogramma; Napp et al., 2000; Ciannelli et al., 2004a), and variation in their bloom timing may be critical to determining juvenile pollock survival, as described below.”
Causes and consequences of winter mortality in fishes (2007, background): “However, winter mortality is believed to result from increased inter-cohort cannibalism in cold winters due to increased spatial overlap between age classes, a mechanism likely to act, at least in part, in a density-dependent manner (Ciannelli et al., 2004).”
Linking fisheries, trophic interactions and climate: threshold dynamics drive herring Clupea harengus growth in the central Baltic Sea (2010, methodology): “Furthermore, to test for the existence of a potential ‘phase transition’ (Litzow & Ciannelli 2007) in the response of growth to the predictors, we applied a Threshold Generalized Additive Model (TGAM, Ciannelli et al. 2004) to condition and WAA.”
Larval fish abundance and physical forcing in the Gulf of Alaska, 1981–2003 (2009, methodology): “Nevertheless, it is a useful tool for exploratory analysis that is able to identify functional relationships suggested by the data, and it has been favored in the recent fisheries science literature as an appropriate method for investigating relationships between various aspects of recruitment and t”
Ecological resilience: what to measure and how (2022, methodology): “…methods and statistical software for conducting breakpoint analysis based either on statistical tests (Beaulieu et al 2012), fitting threshold-general additivemodels (Ciannelli et al 2004) or threshold auto-regressive models to the data (Gröger et al 2011, Ives and Dakos 2012, Laitinen et al 2021).”