Standardizing fishery-dependent catch and effort data in complex fisheries with technology change

By J. Bishop. Reviews in Fish Biology and Fisheries, 2006

123 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5ab78cf32a07b51ab4ff3a2d8fdcc9cb2a4f09af

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Wade Blanchard
2. Peter Ward
3. Nick Ellis
4. S. Hindmarsh
5. J. Baum
6. You‐Gan Wang
7. S. Iverson

In Nature and Landscape Conservation

1. E. Lawrence
2. Wade Blanchard
3. Peter Ward
4. Nick Ellis
5. S. Hindmarsh
6. J. Baum
7. You‐Gan Wang

Citations in the corpus

• Inferring shark population trends from generalized linear mixed models of pelagic longline catch and effort data (2010, methodology): “GLMM are extensions of the GLMs commonly used to model fishery catch rates, which allow for correlated response data (Diggle et al., 2002; Venables and Dichmont, 2004; Bolker et al., 2009).”
• Quantifying fishing effort: a synthesis of current methods and their applications (2008, unknown): “…shared among skippers, skipper skill, vessel competition for physical access or information, repetitive fishing in the same area, and technological advances influence the efficiency of fishing effort (Hilborn 1985; Gaertner and Dreyfus-Leon 2004; Bez et al. 2006; Bishop 2006; Branch et al. 2006).”
• Effects of fish density distribution and effort distribution on catchability (2007, background): “Significant coefficients can still be misleading because of confounding (Bishop, 2006). We further investigated the effect of aggregation and targeting on catchability, following Swain and Sinclair (1994), and suggested three indices to measure the extent of aggregation, targeting, and changes in ca”
• Large-scale experiment shows that nylon leaders reduce shark bycatch and benefit pelagic longline fishers (2008, background): “…are often based on com- ercial catch rates or the “catch-per-unit-effort” (CPUE) that s reported as the number of animals caught per 1000 hooks. n understanding of catchability – the efficiency of the fishng gear – is critical to deriving estimates of abundance from atch rates (Bishop, 2006).”
• An overview of historical changes in the fishing gear and practices of pelagic longliners, with particular reference to Japan’s Pacific fleet (2007, methodology): “Surveys have rarely been attempted in the open ocean apparently because of the high cost of obtaining representative samples from a system that features vast distances and high spatial and temporal variability (Bishop 2006).”