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      Understanding the ontogeny of foraging behaviour: insights from combining marine predator bio-logging with satellite-derived oceanography in hidden Markov models

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          Abstract

          The development of foraging strategies that enable juveniles to efficiently identify and exploit predictable habitat features is critical for survival and long-term fitness. In the marine environment, meso- and sub-mesoscale features such as oceanographic fronts offer a visible cue to enhanced foraging conditions, but how individuals learn to identify these features is a mystery. In this study, we investigate age-related differences in the fine-scale foraging behaviour of adult (aged ≥ 5 years) and immature (aged 2–4 years) northern gannets Morus bassanus. Using high-resolution GPS-loggers, we reveal that adults have a much narrower foraging distribution than immature birds and much higher individual foraging site fidelity. By conditioning the transition probabilities of a hidden Markov model on satellite-derived measures of frontal activity, we then demonstrate that adults show a stronger response to frontal activity than immature birds, and are more likely to commence foraging behaviour as frontal intensity increases. Together, these results indicate that adult gannets are more proficient foragers than immatures, supporting the hypothesis that foraging specializations are learned during individual exploratory behaviour in early life. Such memory-based individual foraging strategies may also explain the extended period of immaturity observed in gannets and many other long-lived species.

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          Unrepeatable Repeatabilities: A Common Mistake

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            The ecology of individuals: incidence and implications of individual specialization.

            Most empirical and theoretical studies of resource use and population dynamics treat conspecific individuals as ecologically equivalent. This simplification is only justified if interindividual niche variation is rare, weak, or has a trivial effect on ecological processes. This article reviews the incidence, degree, causes, and implications of individual-level niche variation to challenge these simplifications. Evidence for individual specialization is available for 93 species distributed across a broad range of taxonomic groups. Although few studies have quantified the degree to which individuals are specialized relative to their population, between-individual variation can sometimes comprise the majority of the population's niche width. The degree of individual specialization varies widely among species and among populations, reflecting a diverse array of physiological, behavioral, and ecological mechanisms that can generate intrapopulation variation. Finally, individual specialization has potentially important ecological, evolutionary, and conservation implications. Theory suggests that niche variation facilitates frequency-dependent interactions that can profoundly affect the population's stability, the amount of intraspecific competition, fitness-function shapes, and the population's capacity to diversify and speciate rapidly. Our collection of case studies suggests that individual specialization is a widespread but underappreciated phenomenon that poses many important but unanswered questions.
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              Age and reproduction in birds - hypotheses and tests.

              It is well known that reproductive performance improves with age in birds. Many hypotheses, involving factors such as differential survival, delayed breeding, breeding experience, foraging ability and reproductive effort, have been proposed to explain this pattern. Although these hypotheses are not mutually exclusive, they can be classified in three major groups relating to progressive appearance or disappearance of phenotypes, age-related improvements of competence, and optimization of reproductive effort. However, a closer examination of the literature reveals that only few studies have rigorously tested the hypotheses. Future work should focus on carefully designed tests that critically investigate the hypotheses.
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                Author and article information

                Journal
                J R Soc Interface
                J R Soc Interface
                RSIF
                royinterface
                Journal of the Royal Society Interface
                The Royal Society
                1742-5689
                1742-5662
                June 2018
                6 June 2018
                6 June 2018
                : 15
                : 143
                : 20180084
                Affiliations
                [1 ]School of Biology, Faculty of Biological Sciences, University of Leeds , Leeds LS2 9JT, UK
                [2 ]Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews , St Andrews KY16 8LB, UK
                [3 ]School of Mathematics and Statistics, University of Sheffield , Sheffield S3 7RH, UK
                [4 ]Scottish Natural Heritage , Battleby, Redgorton, Perth PH1 3EW, UK
                Author notes

                Electronic supplementary material is available online at https://dx.doi.org/10.6084/m9.figshare.c.4105319.

                Author information
                http://orcid.org/0000-0002-6428-719X
                http://orcid.org/0000-0002-2158-2420
                Article
                rsif20180084
                10.1098/rsif.2018.0084
                6030624
                29875281
                2af1dc31-0dc0-4a3f-b3b4-2a344d67d581
                © 2018 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 5 February 2018
                : 9 May 2018
                Funding
                Funded by: Department for Business, Energy and Industrial Strategy;
                Funded by: Natural Environment Research Council, http://dx.doi.org/10.13039/501100000270;
                Categories
                1004
                44
                69
                20
                Life Sciences–Mathematics interface
                Research Article
                Custom metadata
                June, 2018

                Life sciences
                animal telemetry,foraging ecology,finite-size lyapunov exponent,learning,marine vertebrate,movement ecology

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