Fisheries Ecology and Management

By P. Pepin. 2005

412 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/ce5ead7d6f8811011e6973414bbd108b1d27ea11

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In Ecology

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio (2015, background): “Typically, the calculation of SPR requires estimates of the current fishing mortality (F), as well as estimates of natural mortality (M) and fecundity- and selectivity-at-age (Walters and Martell, 2004).”
Foraging arena theory (2012, methodology): “The general predictions of foraging arena theory have been fairly widely used by fisheries scientists, mainly through the application of Ecosim, to explain and model responses of harvested ecosystems (review in Walters and Martell 2004).”
Ecosystem models show combined effects of fishing, predation, competition, and ocean productivity on Steller sea lions (Eumetopias jubatus) in Alaska (2006, methodology): “In addition to vulnerability, consumption is governed by limitations placed on predator consumption rates by foraging time adjustments, maximum relative feeding time, and handling time effects (Walters and Martell 2004; Christensen et al. 2005).”
Revisiting the concept of Beverton -Holt life-history invariants with the aim of informing data-poor fisheries assessment (2015, methodology): “…assessed fisheries and have been recognized in international fisheries law (Restrepo and Powers, 1999; Australian Government, 2007), e.g. SPR40% is generally considered a conservative proxy for maximum sustainable yield (Mace and Sissenwine, 1993; Clark, 2002; Walters and Martell, 2004).”
Possible ecosystem impacts of applying MSY policies from single-species assessment (2005, methodology): “Typically, Ecosim model behaviour is dominated not by sizeeage accounting details, but rather by the ‘‘foraging arena’’ (Walters and Martell, 2004) limitations assumed for trophic interaction rates (food supplies, predation rates), owing to behavioural processes that organize fine-scale overlap…”
Best practice in Ecopath with Ecosim food-web models for ecosystem-based management (2016, methodology): “Biomass estimates are calculated in weight/area, e.g. t km−2 and can be calculated through standard surveying or stock assessment methods (Hilborn and Walters, 1992; Walters and Martell, 2004).”
Rethinking length-based fisheries regulations: the value of protecting old and large fish with harvest slots (2015, methodology): “…of age-1 recruits of an exploited population at © 2013 John Wiley & Sons Ltd, F I SH and F I SHER IES 5 equilibrium directly and is summarized in Walters and Martell (2004) as Req ¼ R0 CR ðU0=Uf Þ CR 1 ; ð6Þ where R0 is the number of age 1 recruits in the unfished condition and CR is the…”
Incentive-based Approaches to Sustainable Fisheries (2006, background): “High values for harvesting rights, concentration of these rights, or simply the gratis allocation of harvesting rights over a public resource are viewed by some as inequitable (Walters and Martell 2004), especially if the initial allocation of rights excludes crew members and traditional participant”
Stock assessment in inland fisheries: a foundation for sustainable use and conservation (2016, background): “…and prey can arise particularly in relatively simple food webs with few interacting species (such as those found in boreal lakes), but are not commonly observed in complex webs with many interacting species (such as those found in tropical systems) (Walters and Martell 2004; Frank et al. 2007).”
A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries (2015, background): “The spawning potential ratio (SPR) of a stock is defined as the proportion of the unfished reproductive potential left at any given level of fishing pressure (Goodyear, 1993; Walters and Martell, 2004) and is commonly used to set target and limit reference points for fisheries.”
Reproductive resilience: a paradigm shift in understanding spawner-recruit systems in exploited marine fish (2017, neutral): “However, our understanding is rapidly changing with the recognition that productivity is affected by more than densitydependent compensation (Walters and Martell 2004; Francis et al. 2007), SSB and TEP are relatively insensitive measures of stock reproductive potential (Kell et al.”
Depletion-corrected average catch: a simple formula for estimating sustainable yields in data-poor situations (2009, background): “Walters and Martell (2004) suggest that the coefficient c is commonly 0.”
Effects of climate‐driven primary production change on marine food webs: implications for fisheries and conservation (2010, methodology): “The vulnerability parameters can be estimated using a nonlinear procedure that fits predicted Ecosim biomass time-series to observed biomass time-series (Walters & Martell, 2004).”
Connectivity, sustainability, and yield: bridging the gap between conventional fisheries management and marine protected areas (2009, background): “…a moderate degree of spatial sophistication is the fact that there are inadequate data available to support that kind of modeling effort; not because analysts do not recognize or appreciate the existence of important biological processes operating at finer spatial scales (Walters and Martell 2004).”
Harbour seals target juvenile salmon of conservation concern (2017, background): “Ecologists have therefore long recognized the need to account for agespecific predation on prey species when modeling predator–prey interactions or ecosystem dynamics (McCauley et al. 1993; Walters and Martell 2004).”
Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation (2018, neutral): “Polovina 1984; Christensen & Pauly, 1992; Christensen & Walters, 2004; Walters and Martell 2004; Walters and Christensen 2007; Walters et al., 1997, 1999, 2000; Plagányi and Butterworth 2004; Mackinson, 2014; Mackinson & Daskalov, 2007; Mackinson, Deas, Beveridge, & Casey, 2009; Heymans, Mackinson,…”