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The quantitative study of marked individuals in ecology, evolution ...

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EURING 2003 Radolfzell<br />

We found two breed<strong>in</strong>g strategies which have the same fitness, characterized by the<br />

number <strong>of</strong> years without reproduction (2 or 3) and the number <strong>of</strong> clutches with<strong>in</strong> reproductive<br />

years. However, such strategies are not fixed for a given female.<br />

10:45 AM - 11:05 AM<br />

Modell<strong>in</strong>g senility and dispersal <strong>of</strong> Red deer<br />

Ted Catchpole, T.N. Coulson, Y. Fan, & B.J.T. Morgan<br />

Red deer (Cervus elaphus) on the island <strong>of</strong> Rum have been closely studied for many<br />

years. In particular, this has resulted <strong>in</strong> an extensive mark-recapture-recovery (mrr)<br />

data set. Models for these data need an elaborate age-structure for survival, because<br />

deer react differently to environmental factors at different stages <strong>of</strong> their lives. An additional<br />

<strong>in</strong>terest<strong>in</strong>g feature <strong>of</strong> the data is that animals may leave the <strong>study</strong> area. Thus<br />

we are <strong>in</strong>terested not only <strong>in</strong> modell<strong>in</strong>g deer survival, but also deer dispersal. Our<br />

model<strong>in</strong>g approach is a classical statistical one. <strong>The</strong> two sexes need to be considered<br />

separately. With<strong>in</strong> each sex, we use standard likelihood tools and <strong>in</strong>formation criteria<br />

to identify age-classes, separately for survival and dispersal. With<strong>in</strong> each age-class,<br />

the relevant probability does not vary over the ages desribed by that class, with the<br />

exception <strong>of</strong> the oldest age-class for survival. This then allows us to undertake logistic<br />

regressions <strong>of</strong> the relevant age-class probabilities on a mixture <strong>of</strong> environmental and<br />

<strong>in</strong>dividual covariates. Senility, a gradual decl<strong>in</strong>e <strong>in</strong> survival probability with age, is described<br />

by means <strong>of</strong> a logistic regression on age with<strong>in</strong> the oldest survival ageclasses<br />

for males and females. <strong>The</strong> f<strong>in</strong>al models that we select for males and for females<br />

have an attractive simplicity. <strong>The</strong>y demostrate clearly the differences that exist<br />

between males and females, and may be used for predict<strong>in</strong>g future behaviour, and<br />

the effects <strong>of</strong> alternative management policies.<br />

<strong>The</strong> work <strong>of</strong> this paper is a natural extension <strong>of</strong> the models and model-selection<br />

procedures that have been developed for Soay sheep (Ovis aries) <strong>in</strong> Catchpole et al<br />

(2000) and Coulson et al (2001). <strong>The</strong> present work builds on the modell<strong>in</strong>g <strong>of</strong> male<br />

red-deer alone by Catchpole et al (2002), and the modell<strong>in</strong>g <strong>of</strong> both sexes <strong>in</strong> Fan et al<br />

(2002).<br />

11:05-11:25 AM<br />

Assess<strong>in</strong>g senescence patterns <strong>in</strong> populations <strong>of</strong> large mammals<br />

Jean-Michel Gaillard & Anne Viallefont<br />

<strong>The</strong>oretical models such as Gompertz and Weibull models are commonly used to<br />

<strong>study</strong> senescence <strong>in</strong> survival for humans (Olshansky & Carnes 1997) and laboratory<br />

or captive animals (Ricklefs 2000) for which a complete follow up <strong>of</strong> <strong><strong>in</strong>dividuals</strong> is<br />

available. For wild populations <strong>of</strong> vertebrates, senescence <strong>in</strong> survival has more commonly<br />

been assessed by fitt<strong>in</strong>g simple l<strong>in</strong>ear or quadratic relationships between survival<br />

and age (e. g., McDonald et al. 1996, Newton and Rothery 1997, Nichols et al.<br />

1997, Loison et al. 1999). By us<strong>in</strong>g appropriate constra<strong>in</strong>ts on survival parameters <strong>in</strong><br />

Capture-Mark-Recapture (CMR) models, we propose a first analysis <strong>of</strong> the suitability<br />

<strong>of</strong> Gompertz and Weibull models for describ<strong>in</strong>g ag<strong>in</strong>g-related mortality <strong>in</strong> free-rang<strong>in</strong>g<br />

populations <strong>of</strong> ungulates. We first show how to handle Gompertz and Weibull models<br />

<strong>in</strong> the context <strong>of</strong> CMR analyses. <strong>The</strong>n we perform a comparative analysis <strong>of</strong> senescence<br />

patterns <strong>in</strong> both sexes <strong>of</strong> two ungulate species highly contrasted accord<strong>in</strong>g<br />

to the <strong>in</strong>tensity <strong>of</strong> sexual selection. Evolutionary implications <strong>of</strong> our results are<br />

discussed.<br />

9

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