Fisheries Ecology and Management
By Carl J Walters, S. Martell. 2004
610 citations recorded by the source corpus.
Subfields: Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/d0efe955add21f09e759de27d10cbb54f9c5b149
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In Global and Planetary Change
- Wwl Cheung
- J. Prince
- Adrian R. Hordyk
- Carl J Walters
- Robert Arlinghaus
- K. Ono
- Marta Coll
- Villy Christensen
Citations in the corpus
- Density dependence and population regulation in marine fish: a large‐scale, long‐term field manipulation (2012, background): “Population regulation and its underlying densitydependent mechanisms are key concepts in both conservation biology, in terms of management preventing extinctions (Morris and Doak 2002), and fisheries biology, in terms of sustaining catches (Walters and Martell 2004).”
- Integrating genetic data into management of marine resources: how can we do it better? (2008, background): “Several texts (Hilborn and Walters 1992; Quinn and Deriso 1999; Haddon 2001; Walters and Martell 2004) describe the plethora of methods used for fisheries stock assessment, which differ with respect to data requirements, complexity and the quantities they are designed to estimate.”
- Model-based estimates of effective sample size in stock assessment models using the Dirichlet-multinomial distribution (2017, methodology): “Introduction Stock assessment models are quantitative tools that are used o provide a scientific basis for the management of marine fishes Walters and Martell, 2004).”
- Length based SPR assessment of eleven Indo-Pacific coral reef fish populations in Palau (2015, background): “Its utility for data-limited assessment has been recommended because of its relative simplicity (Brooks et al., 2010; Walters and Martell, 2004).”
- A mechanistic understanding of hyperstability in catch per unit effort and density-dependent catchability in a multistock recreational fishery (2013, background): “The lack of a relationship between angler effort and fish abundance can be a concern for the sustainability of wild stock fisheries (Walters and Martell 2004; Schueller et al. 2012; Allen et al. 2013), although the lakes in this study aremaintained by stocking.”
- Key habitat and home range of mulloway Argyrosomus japonicus in a south-east Australian estuary: finding the estuarine niche to optimise stocking (2006, background): “Only resources in the close vicinity of refugia may be efficiently exploited by stocked juvenile fish, which try to minimise predation risk (Walters & Martell 2004).”
- A simple length-structured model based on life history ratios and incorporating size-dependent selectivity: application to spawning potential ratios for data-poor stocks (2016, methodology): “…to include Botsfords’ method of integrating per-535 recruit dynamics and the Beverton-Holt stock-recruitment function, to determine the relative 536 expected yield for a given selectivity pattern and fishing mortality (Botsford and Wickham 537 1979, Botsford 1981a, b, Walters and Martell 2004).”
- Economics of harvesting age-structured fish populations. (2009, methodology): “The population model is in line with generic models applied in Þshery ecology (Walters and Martell 2004) and it can be viewed as a direct generalization of the traditional "lumped parameter" model applied in Þshery economics.”
- Multispecies survey design for assessing reef-fish stocks, spatially explicit management performance, and ecosystem condition (2011, background): “Howver, there are risks in basing assessments entirely upon data rom extractive fishing operations (Walters and Martell, 2004; otherham et al., 2007).”
- Population status of 14 shark species caught in the protective gillnets off KwaZulu-Natal beaches, South Africa, 1978-2003 (2006, background): “carcharias may also be the result of density-dependent mechanisms operating within the populations (Hilborn and Walters 1992; Walters and Martell 2004).”