Hassen AllegueFisheries and Oceans Canada | DFO · Maurice Lamontagne Institute (MLI)
Hassen Allegue
PhD
I am investigating habitat use of white sharks in Canadian Atlantic waters and their interaction with grey seals
About
14
Publications
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Introduction
Education
September 2014 - May 2017
September 2011 - May 2014
September 2004 - May 2009
Publications
Publications (14)
The relationship between risk-prone behavior and growth is central to tradeoff models that explain the existence and maintenance of among-individual variation in behavior (i.e., animal personality). These models posit positive relationships between among-individual variation in risk-prone behaviors and growth, yet how the strength and direction of...
In polygynous species, male reproductive success is often determined by their ability to dominate female harems. Harem‐holders sire a disproportionate number of offspring. Male dominance tends to correlate with age, but intense competition and early male mortality limit most males from achieving high social status. To maximize reproductive success...
Assessing the biological relevance of variance components estimated using Markov chain Monte Carlo (MCMC)‐based mixed‐effects models is not straightforward. Variance estimates are constrained to be greater than zero and their posterior distributions are often asymmetric. Different measures of central tendency for these distributions can therefore v...
Prey behavioral response to predation risk drives a range of ecological and evolutionary processes. Key to these effects is the degree to which conspecifics exhibit consistent individual differences in their response to risk or instead follow a mean population-level pattern. Here, we employed the behavioral reaction norm framework to quantify among...
Background
Studying animal movement in the context of the optimal foraging theory has led to the development of simple movement metrics for inferring feeding activity. Yet, the predictive capacity of these metrics in natural environments has been given little attention, raising serious questions of the validity of these metrics. The aim of this stu...
In polygynous species, most dominant males sire a disproportionate number of offspring and dominance rank is assumed to be age dependent. Yet, extreme inter-male competition and high early male mortality prevent most males from reaching a social status that could guaranty a high reproductive success. Alternative reproductive tactics may have evolve...
Assessing the biological relevance of variance components estimated using MCMC-based mixed-effects models is not straightforward. Variance estimates are constrained to be greater than zero and their posterior distributions are often asymmetric. Different measures of central tendency for these distributions can therefore be very different, and credi...
Marine trophic ecology data are in high demand as natural resource agencies increasingly adopt ecosystem-based management strategies that account for complex species interactions. Harbour seal ( Phoca vitulina ) diet data are of particular interest because the species is an abundant predator in the northeast Pacific Ocean and Salish Sea ecosystem t...
Abstract Selecting foraging habitat is a fundamental behavior in the life of organisms as it directly links resource acquisition to fitness. Differences in habitat selection among individuals may arise from several intrinsic and extrinsic factors, and yet, their interaction has been given little attention in the study of wild populations. We combin...
Additive genetic variance in a trait reflects its potential to respond to selection, which is key for adaptive evolution in the wild. Social interactions contribute to this genetic variation through indirect genetic effects —the effect of an individual's genotype on the expression of a trait in a conspecific. However, our understanding of the evolu...
Animal ecologists often collect hierarchically structured data and analyse these with linear mixed‐effects models. Specific complications arise when the effect sizes of covariates vary on multiple levels (e.g. within vs. among subjects). Mean centring of covariates within subjects offers a useful approach in such situations, but is not without prob...
Linear mixed‐effects models are powerful tools for analysing complex datasets with repeated or clustered observations, a common data structure in ecology and evolution. Mixed‐effects models involve complex fitting procedures and make several assumptions, in particular about the distribution of residual and random effects. Violations of these assump...
There is increasing evidence that predation by harbour seals on out-migrating salmon smolts may be responsible for the low return of adult coho and Chinook salmon in the Salish Sea. However, little attention has been given to understanding where and when this predation occurs and the extent to which it might be conducted by few or many seals in the...
Phenotypic variation exists in and at all levels of biological organization: variation exists among species, among‐individuals within‐populations, and in the case of l within‐populations abile traits, within‐individuals. Mixed‐effects models represent ideal tools to quantify multilevel measurements of traits and are being increasingly used in evolu...
Questions
Questions (2)
Anyone knows how to calculate (or get from an open access database) the hourly mean natural ambient Illuminance at a specific location due to solar and lunar daily cycle?
If the database also account for cloud cover, it would be even better!
My study is located at the Qualicum Bay area (49°23'57.7"N 124°36'30.9"W; British Columbia, Canada) in May 2015
Thanks!
I explored different packages (such as mgcv, MCMCglmm, glmmADMB, etc) but they all have limitations. Either they don't allow for zero-inflated, zero-altered distributions or they don't allow for temporal auto-correlation through functions as corAR() or corARMA().