[MARMAM] workshop on the analysis of capture-recapture data using multievent models

GIMENEZ Olivier Olivier.GIMENEZ at cefe.cnrs.fr
Thu Oct 22 05:16:17 PDT 2015


Upcoming workshop on the analysis of capture-recapture data using multievent
models to be held at Center for Evolutionary and Functional Ecology (CEFE),
Montpellier, France, 21-25 March 2016. The registration of participants will
be at CEFE the 21 March on evening and will be followed by 3 days of
lectures and practical exercises plus 1 day of practical work on the
participants' data.

You are hereby cordially invited to take part in the following workshop:

MODELLING INDIVIDUAL HISTORIES WITH STATE UNCERTAINTY

organized by the Biostatistics and Population Biology team of CEFE in
Montpellier (France)

The estimation of population parameters (survival, recruitment, dispersal,
and population growth rate) is critical to many areas of fundamental and
applied biology. The major source of data for such estimation comes from
observations of marked animals. This workshop will deal with recent advances
in the analysis of such data. The content is aimed at providing the
participants with a solid background in the philosophy, theory and practices
for the analysis of data from marked animals, with a specific focus on
multievent data and models. Multievent capture-recapture models are a
natural generalization of the multisite recapture models. Similarly,
individuals are sampled on discrete occasions, at which they may be captured
or not. However, contrary to the multisite case, uncertainty in the
assessment of state such as breeder, diseased or highly catchable can be
incorporated into the analysis. Conceptually, it is not states that are
observed but rather something dubbed an "event" (a particular breeding
behaviour, a positive blood test or just encounter), which reflects to some
extent the underlying state. The presence of imperfect observations and the
lack of information on individual quality presently make multievent models
an invaluable tool in virtually any area of population biology. Current
applications include the study of dispersal, epidemiology, individual
heterogeneity, mixture of information... New developments allow the
treatment of individual heterogeneity through random effects as well as
through mixture models, and the inclusion of individual as well as
environmental covariates. For examples of topics that can be addressed in
the multievent framework, see the non-exhaustive bibliography below.
Depending on the majority of participants wishes, one of the following theme
will be developped during the workshop:

    - stopover;
    - epidemiology;
    - site occupancy.

Emphasis will be placed on stringent procedures for building and selecting
the most appropriate models for the data set at hand, in order to be able to
draw reliable biological conclusions.

Format of the workshop will be a combination of lectures and computer lab
exercises with the programs E-SURGE and U-CARE. U-CARE incorporates
goodness-of-fit tests for multistate models, and E-SURGE makes the building
of complex models easy based on a language describing the structure of
models in a compact and user-friendly way. All lectures and course material
will be in English.

It is our hope that participants will bring their own capture-recapture data
to work on them during the workshop. To take full advantage of the workshop,
it is expected that the participants will have some basic practice of the
analysis of CR data.

Teachers: Roger Pradel, Rémi Choquet, Olivier Gimenez, Tamar Lok, and
Jean-Dominique Lebreton.

Participants will have to provide their own laptop computer that is capable
of running Windows-based software.

Thank you for disseminating this message to colleagues and students who may
not have received it.

The workshop organizers
Roger Pradel, Rémi Choquet, Olivier Gimenez

For application, go to http://multievent.sciencesconf.org/






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