2012
DOI: 10.3354/meps10035
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Geospatial analysis of habitat use in yellowtail flounder Limanda ferruginea on Georges Bank

Abstract: Three theories of habitat use proposed for marine fishes -the constant density model, the proportional density model, and the basin model -make contrasting predictions of how the geographical range, local density, and fitness change as population size changes. We tested model predictions with survey data on yellowtail flounder Limanda ferruginea from the Georges Bank region, where abundance changed by a factor of 4 over a decade. Surveys took place in spring and fall, and data on individual length, mass, sex, … Show more

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Cited by 12 publications
(17 citation statements)
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“…The CDM and PDM propose a site-dependent mechanism driving the observed patterns of habitat use, while the BM proposes density dependence as the driving force. For a more complete discussion of these 3 models, see Pereira et al (2012).…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…The CDM and PDM propose a site-dependent mechanism driving the observed patterns of habitat use, while the BM proposes density dependence as the driving force. For a more complete discussion of these 3 models, see Pereira et al (2012).…”
Section: Introductionmentioning
confidence: 99%
“…In a previous study (Pereira et al 2012), we combined the suggestion of Shepherd & Litvak (2004) with the 3 constructs of habitat use identified by Petitgas (1998) to examine a population of yellowtail flounder Limanda ferruginea on the northeast coast of the United States. The combination resulted in the predictions summarized in Table 1.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The basic steps of ordinary kriging can be referred to [22]. Bayesian maximum entropy: Christakos (1990) established the Bayesian maximum entropy (BME) method.…”
Section: Spatial Interpolationmentioning
confidence: 99%
“…The stable model was used to fit the semivariogram function. The stable model is formulated as [22,36]:…”
Section: Isprs Int J Geo-inf 2017 6 52 13 Of 22mentioning
confidence: 99%