Scale-dependent predator-prey interactions: the aggregative response of seabirds to prey under variable prey abundance and patchiness

By P. Fauchald, K. Erikstad. 2002

107 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/2693dca553545fd2c9529e5a710892273782a722

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In Global and Planetary Change

Citations in the corpus

Spatial interaction between seabirds and prey: review and synthesis (2009, background): “In the Barents Sea, maturing capelin start a spawning migration from the central parts in late winter towards the coast where they spawn in early spring (Gjøsæter 1998).”
Spatial fisheries ecology: Recent progress and future prospects (2008, background): “Furthermore, geostatistical estimates of spatial dependence can be readily extended to two co-located sets of data, for example to study the correlation structure between two different species (e.g., predator and prey aggregation and distribution, Fauchald and Erikstad, 2002).”
Lévy trajectories of Peruvian purse-seiners as an indicator of the spatial distribution of anchovy ( Engraulis ringens ) (2005, background): “…studies have focused on spatial predatoreprey relationships in a multi-scale, hierarchical patch dynamic framework, using various metrics (Rose and Leggett, 1990; Fauchald et al., 2000; Davoren et al., 2002; Fauchald and Erikstad, 2002; Bertrand et al., 2004a).”
Foraging destinations and marine habitat use of short-tailed albatrosses: A multi-scale approach using first-passage time analysis (2006, background): “Furthermore, because consumers require dense prey aggregations for efficient foraging (Piatt and Methven, 1992; Fauchald and Erikstad, 2002), their distributions can identify areas of elevated production and prey concentration (e.g., Ancel et al., 1992; Hunt et al., 1996).”
Marine bird and cetacean associations with bathymetric habitats and shallow-water topographies: impl (2004, methodology): “We evaluated patterns of spatial autocorrelation using Moran’s I, a metric developed to quantify spatial patterns for highly non-normal distributions (Moran, 1950) and previously used to assess seabird spatial autocorrelation (Fauchald and Erikstad, 2002).”
Association of predators and prey at frontal features in the California Current: competition, facilitation, and co-occurrence (2009, unknown): “Most importantly, we found the closest relationship between predators and prey in the year when prey were less abundant and seemingly more patchy (see also Fauchald & Erikstad 2002).”
Migration and wintering of a declining seabird, the thick-billed murre Uria lomvia, on an ocean basin scale: Conservation implications (2016, background): “Large numbers of murres winter in the Barents Sea (Fauchald and Erikstad, 2002), and these are almost certainly mainly Novaya Zemlya birds.”
The importance of oceanographic fronts to marine birds and mammals of the southern oceans (2009, background): “These studies have to be carried on with a scale-dependency approach to habitat selection (Schneider, 1993; Fauchald and Erikstad, 2002).”