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|a (DE-627)JST114439478
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|a (JST)24875568
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Currie, Jens J.
|e verfasserin
|4 aut
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|a Spatial scaling from latitudinal gradients:
|b size-specific fecundity in the American lobsterHomarus americanus
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|c 2011
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
|b c
|2 rdamedia
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|a Online-Ressource
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|a ABSTRACT: Estimates of key population parameters are required to evaluate conservation or management measures, but are often available at only a few locations within the range of a species. We assembled all available estimates of a single parameter (fecundity as a function of size) in the lobsterHomarus americanusto develop a large-scale model applicable throughout the species’ range. In this species, a 2-parameter power function,F=aLb , is used to describe the relationship of fecundityFto carapace lengthL. There was a well-defined latitudinal gradient in the allometric (power law) exponentb, with the smaller values at the northern end of the species’ range. The allometric exponentbdecreased at a rate of 8.6% per degree of latitude, from southern New England to the northern end of the range (Newfoundland). The scaling factoraincreased at a rate of 491 eggs per degree of latitude, as estimated at a carapace length of 85 mm. Fecundity can be estimated from this large-scale model at any location throughout much of the species’ range. Data archiving allows re-estimation of parameters when better methods become available, and also allows large-scale models of population parameters to be developed.
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|a © Inter-Research 2011
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|a American lobster
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|a Fecundity
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|a Statistical model
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|a Egg production
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|a Management
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|a Conservation
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|a Biological sciences
|x Biology
|x Developmental biology
|x Reproduction
|x Fertility
|x Fecundity
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|a Biological sciences
|x Biology
|x Zoology
|x Animals
|x Invertebrates
|x Aquatic invertebrates
|x Aquatic arthropods
|x Crustaceans
|x Lobsters
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|a Physical sciences
|x Earth sciences
|x Geography
|x Geodesy
|x Geodetic position
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|a Applied sciences
|x Engineering
|x Civil engineering
|x Marine engineering
|x Marine structures
|x Harbors
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|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Perception
|x Perceptual processing
|x Perceptual localization
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|a Applied sciences
|x Research methods
|x Modeling
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical models
|x Parametric models
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Statistical theories
|x Estimation theory
|x Estimation bias
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Actuarial science
|x Actuarial cost methods
|x Life tables
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|a Biological sciences
|x Biology
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|a research-article
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|a Schneider, David C.
|e verfasserin
|4 aut
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|i Enthalten in
|t Marine Ecology Progress Series
|d Inter-Research, 1979
|g 439(2011) vom: Okt., Seite 193-201
|w (DE-627)320617998
|w (DE-600)2022265-8
|x 16161599
|7 nnns
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|g volume:439
|g year:2011
|g month:10
|g pages:193-201
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|u https://www.jstor.org/stable/24875568
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|d 439
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|h 193-201
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