Folly and fantasy in the analysis of spatial catch rate data

By Carl J Walters. 2003

378 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/b4a200754478530eadfee40d8f79a271f64ef3a3

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. Daniel Pauly
2. Wwl Cheung
3. R. Watson
4. J. Reynolds
5. Ray Hilborn
6. K. Piner
7. J. Baum
8. O. Jensen

In Nature and Landscape Conservation

1. K. Piner
2. J. Baum
3. Ray Hilborn
4. J. Reynolds
5. O. Jensen
6. Cóilín Minto
7. D. Ricard
8. R. Watson

Citations in the corpus

• Standardizing fishery-dependent catch and effort data in complex fisheries with technology change (2006, background): “For example, when resources for research surveys are limited, Walters (2003) suggests analyzing commercial catch and effort to identify the sparse or empty cells of space and time therein.”
• The ‘shifting baseline’ phenomenon: a global perspective (2008, background): “Recent estimates suggest that the global ocean has lost more than 90% of large predatory fishes over the past 50–100 years (Myers and Worm 2003), although such claims have been questioned by Hampton et al. (2005), Polachek (2006) and Walters (2003).”
• Faith-based Fisheries (2006, background): “At least three independent critiques of the paper subsequently have been published: Walters (2003), Hampton et al. (2005), and Polacheck (2006).”
• Contemporary fisheries stock assessment: many issues still remain (2015, background): “It is also concerning that rebuttals to these articles (e.g. Hilborn, 2002; Walters, 2003; Hampton et al., 2005; Essington et al., 2006; Maunder et al., 2006; Polacheck, 2006; Sibert et al., 2007; Branch, 2008) generally garner far less public attention as they are often published in the technical…”
• Visualizing the Food-Web Effects of Fishing for Tunas in the Pacific Ocean (2004, background): “Although the full extent of the depletion of these predators in the Pacific Ocean is a subject of debate (Hampton et al. 2003, Walters 2003), it is reasonable to expect that future management actions will seek to increase the abundance of these species.”
• Biogeography of tuna and billfish communities (2012, background): “This effect creates bias when the standard CPUE index (Polacheck, 2006) is used to estimate the spatial distribution of fish by leading to an overestimation of the number of fish in regions with low densities and underestimation in regions with high densities, which in turn results in flat estimates”
• Mapping world-wide distributions of marine mammal species using a relative environmental suitability (RES) model (2006, background): “The binning of catches across all years will have masked effects of the well-known serial depletion of the large whale species (Clark & Lamberson 1982, Perry et al. 1999) and the distortion likely introduced by any progressive spatial expansion of catch effort (Walters 2003).”
• Endangering the endangered: The effects of perceived rarity on species exploitation (2008, background): “, tuna (Walters 2003); animals aggregate in protected areas which may increase CPUE, e.”
• Evidence for shifting baseline syndrome in conservation (2009, background): “In some cases, it is assumed that a biological change automatically means that SBS occurs in human perceptions (Jackson 1997; Post et al. 2002; Walters 2003; Folke et al. 2004; Edgar et al. 2005; Ainsworth et al. 2008).”
• Marine Fish Population Collapses: Consequences for Recovery and Extinction Risk (2004, background): “Similar reductions over the past 50 years have been reported for other predatory marine fishes (Christensen et al. 2003, Myers and Worm 2003; see also Walters 2003).”
• Isotopic evidence of distinct feeding ecologies and movement patterns in two migratory predators (yellowfin tuna and swordfish) of the western Indian Ocean (2007, background): “59 So far, few tag returns are available and catch statistics themselves do not reflect the real 60 movement patterns (Hilborn and Walters 1992; Walters 2003).”
• Effects of fish density distribution and effort distribution on catchability (2007, background): “Walters (2003) has warned that “simple, nonspatial ratio (cpue) estimates should not be used”.”
• Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database (2012, background): “Moreover, CPUE can still be an unreliable index of relative abundance, as it is difficult to account for all factors that influence catchability (Hutchings and Myers 1994; Harley et al. 2001; Walters 2003; Polacheck 2006).”
• Spatial management of Indian Ocean tropical tuna fisheries: potential and perspectives (2014, background): “migration is fundamentally related to the more general problem of implicitly assuming constant cpue over an entire space or time strata, which has been shown to produce a biased indicator of abundance (Walters, 2003).”