Assessing the factors influencing discard mortality of demersal fishes using a semi-quantitative indicator of survival potential
By H. Benoît, T. Hurlbut, J. Chassé. 2010
128 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/71a8ddc9af4f1232102c878ed1502648c3a4e34f
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In Ecology
In Global and Planetary Change
In Nature and Landscape Conservation
Citations in the corpus
- Estimating fishery-scale rates of discard mortality using conditional reasoning (2012, methodology): “Second, the selected urvival functions were combined with information on fish preiscard vitality from commercial fisheries (Benoît et al., 2010), to stimate relevant rates of short-term survival.”
- Assessing Stress and Predicting Mortality in Economically Significant Crustaceans (2012, background): “Most importantly, as pointed out earlier (Stoner, 2009; Benoı̂t et al., 2010; Davis, 2010), a vitality-based approach to mortality prediction does not require holding or tagging the test animals once the mortality predictors have been developed and validated.”
- Short-term survival of discarded target fish and non-target invertebrate species in the “eurocutter” beam trawl fishery of the southern North Sea (2014, methodology): “Here we have attempted to limit the subjectivity in determining a survival proxy by establishing quantitative rules for the CDI, thereby avoiding the need to address subjectivity post-hoc during analysis (e.g. Benoît et al., 2010).”