Foraging arena theory

By R. Ahrens, Carl J Walters, Villy Christensen. 2012

323 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/223ddc0c8ff8b1d094bcf1293ce89618beeb92d2

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In Global and Planetary Change

In Nature and Landscape Conservation

In Public Health, Environmental and Occupational Health

Citations in the corpus

What makes fish vulnerable to capture by hooks? A conceptual framework and a review of key determinants (2017, background): “According to foraging arena theory (Ahrens et al., 2012), moreover, fish cluster into vulnerable and invulnerable pools in wild stocks.”
The global ocean is an ecosystem: simulating marine life and fisheries (2015, methodology): “Predator–prey dynamics in the food web model was based on foraging arena theory (Walters & Juanes, 1993; Ahrens et al., 2012) as implemented in the Ecosim model of EwE (Walters et al., 1997, 2000).”
Passive gear‐induced timidity syndrome in wild fish populations and its potential ecological and managerial implications (2017, unknown): “…changes to population dynamics or key traits in the population due to a timidity syndrome are bound to have spillover effects on communities, 6 © 2016 John Wiley & Sons Ltd, F ISH and F ISHER IES food webs and ecosystem functioning (Bolnick et al. 2011; Ahrens et al. 2012; Kuparinen et al. 2016).”
Best practice in Ecopath with Ecosim food-web models for ecosystem-based management (2016, background): “The key to this is setting the density-dependent vulnerability parameters in Ecosim, setting the predatory prey dynamics between top down or bottom-up control between predators and prey (Ahrens et al., 2012).”
Benthic and fish aggregation inside an offshore wind farm: Which effects on the trophic web functioning? (2017, background): “A low value of vulnerability 319 will indicate a ‘bottom-up’ controlled interaction, while a high value of vulnerability will indicate that 320 mortality of the prey is controlled by the predator biomass, as in a ‘top-down’ control (Ahrens et al., 2012).”
Keystone species: toward an operational concept for marine biodiversity conservation (2015, result): “Yet, the latter assumption was proven to be unrealistic, compared to the foraging arena theory implemented in EwE models (Walters and Martell 2004, Walters and Christensen 2007, Ahrens et al. 2012).”
Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers (2016, background): “risk-sensitive foraging or 426 predation behaviour (Ahrens et al., 2012).”
Assessing the trophic position and ecological role of squids in marine ecosystems by means of food-web models (2013, methodology): “…expressing the total consumption by group i, and the second the predation by all predators on the same group i. Consumption rates Qji are calculated based on the ‘foraging arena’ concept, where Bi’s are divided into vulnerable and invulnerable components (Ahrens et al., 2012; Walters et al., 1997).”