14-20 September, 2009

Pescara, Italy

EURING 2009 program

The EURING 2009 Analytical Meeting & Workshop will consist of several sessions. Below is a list of the sessions, the names of the individuals chairing the sesssions, and some keywords about the possible content to facilitate assigning an abstract to a session. Contact information for individual session chairs can be found here.

Monday, September 14

• Model Diagnostics (David Fletcher & Roger Pradel)

Plenary: One size fits all? - R. McRea, B. Morgan & T. Bregnballe

• Determining parameter redundancy in multistate mark-recapture models for sea birds (D. Cole)
• Comparison of model building strategies when all possible model structures cannot be constructed (P. Doherty & G. White)
• A computationally efficient method for estimating overdispersion (D. Fletcher, P. Green & B. Morgan)
• Decision analysis (Clint Moore & Richard Barker)

  Plenary: Effective use of data from monitoring programs and field studies for conservation decidions-making: predictions, designs and models working together - M. Conroy

  • An adaptive management framework to optimally control recreational activities in Denali National Park (J. Martin, J. Nichols, R. Runge, C. McIntyre, J. Schmutz & M. MacCluskie)
  • Evaluating alternative release decisions for introducting a longlived bird species under uncertainty about performance of offspring (C. Moore, S. Converse, R. Runge, S. Nesbitt, & M. Folk)
• Study Design (Paul Doherty & Bill Link)

  Plenary:Designs for capture-mark-recapture studies: review, assessment, and emerging issues - M. Lindberg

  • Occupancy estimation within an adaptive sampling design: A calibrated Bayesian approach to evaluating an integrated estimator for rare or elusive species (K. Pacifici, M. Conroy, R. Cooper & J. Peterson)
  • Optimizing sampling effort and study design for seabird population studies: patterns of intra-annual variation of detection probability in a Black-legged kittiwake population (T. Chambert, D. Pardo, K. McCoy, N. Yoccoz, T. Tveraa & T. Boulinier)
  • Estimating survival and transition rates from aggregate sightings of animals on several sites (A. Viallefont, P. Besbeas & B. Morgan)

Tuesday, September 15

• State-Space Modeling (Byron Morgan & Marc Kery)

  Plenary: Nonlinear state-space models of population dynamics and integration with capture-mark-recapture data: A review and prospectus of computational methods for maximum likelihood estimation - P. de Valpine

  • Estimating abundance from presence/absence and mark-recovery data (S. Freeman & P. Besbeas)
  • Spatial variation in population dynamics: a state-space framework (R. Robinson, S. Baillie & R. King)
  • State-space model incorporating multiple data structures: black bear demographics in central Georgia, USA (J. Sanderlin & M. Conroy)
  • Testing compensatory vs. additive mortality using data on marked animals: a Bayesian state-space modelling approach (S. Servanty, R. Choquet, C. Toigo, J.-M. Gaillard, M. Buoro, M. Schaub, J.-D. Lebreton, E. Baubet, S. Brandt & O. Gimenez
• Spatial CMR modelling (Andy Royle & Charles Francis)

  Plenary: Maximum-likelihood spatially explicit capture-recapture: an overview - D. Borchers

  • Spatially explicit capture-recapture methods to estimate minke whale abundance from data collected at bottom mounted hydrophones (T.A. Marques, L. Thomas, S.W. Martin, D.K. Mellinger, S. Jarvis, N. DiMarzio & R.P. Morrisey)
  • Small-scale dispersal, recruitment and survival in wandering albatrosses (G. Gauthier, E. Milot & H. Weimerskirch)
  • Source-sink status of small and large wetland fragments and growth rate of a population network (G. Pasinelli, J. Runge & K. Schiegg)
  • Spatial modeling of survival and residency probability with an application to data from the monitoring avian productivity and survivorship (MAPS) program (J. Saracco, A. Royle, D. DeSante & B. Gardner)
• Poster Session (Morten Frederiksen & Res Altwegg)

Wednesday, September 16

• Uncertain states and covariates (Olivier Gimenez & Darryl MacKenzie)

  Plenary: If only there was no missing data... - M. Schofield

  • Bayesian estimation of abundance for open populations with covariate dependent capture and survival probabilities (S. Bonner & C. Schwarz)
  • Estimating breeding success in Brünnich's guillemot - multievent modeling with photo series data (E. Lorentzen, R. Choquet & H. Steen)
  • Heterogeneity capture-recapture models to study survival senescence (G. Peron, P.-A. Crochet, R. Choquet, R. Pradel, J.-D. Lebreton & O. Gimenez)
  • Modelling temporal emigration by multievent models (A. Sanz-Aguilar, G. Tavecchia, M. Genovart, J.M. Igual, D. Oro, L. Rouan & R. Pradel)
• Disease Ecology (Jim Nichols & Stephen Baillie)

  Plenary: Analysis of marked individuals in modelling disease dynamics - E. Cooch, P. Conn, A. Dobson, K. Pollock & S. Ellner

  • Accounting for detection probability in force-of-infection models (P.B. Conn, E. Cooch & P. Caley)
  • Combining occupancy and mark-recapture models to adjust for state uncertainty: application to disease ecology (W. Kendall, G. White, J. Nichols, J. Hines & A. Franklin)
  • Temporal and spatial dynamics of avian influenza virus infection in greater white-fronted geese in their winter staging areas (D. Kleijn, G. Muskens, D. Jonkers, R. Fouchier, V. Munster & B. Ebbinge)
  • Addressing state uncertainty in disease ecology (B. McClintock, J. Nichols, L. Bailey & W. Kendall)

Thursday, September 17

• field trip(s)

Friday, September 18

• Modeling individual variation (Jay Rotella & Emanuelle Cam)

  Plenary: Modelling individual effects in Jolly-Seber type models using data augmentation - A. Royle

  • Comparison of methods based on capture-recapture data to estimate heritability of dispersal behaviour: the collared flycatcher as a case study (B. Doligez, T. Par L. Gustafsson & D. Reale)
  • Combining capture-recapture and animal models to assess heritability of demographic parameters in the wild (O. Gimenez, S. Cubaynes, A. Charmantier, P. Perret & J. Papaix)
  • Decomposition of population change (M. Rebke, T. Coulson, P. Becker & J. Vaupel)
  • Bayesian analysis of multi-state data with individual covariates for estimating demographic effects of inbreeding (S. Converse & A. Royle)
• Open forum (David Thomson & Jean-Dominique Lebreton)
  • Movement and persistence by Ross' geese in Canada's arctic (R. Alisauskas, K. Drake, J. Caswell, J. Leafloor & P. Kellett)
  • Incorporating "breeding rate" in matrix-based projection models: estimation, parameters, and the influence of mode structure (E. Cooch, E. Cam & H. Caswell
  • Investigating the population dynamics of California spotted owls without marked individuals (D. MacKenzie, M. Seamans, R. Gutierrez & J. Nichols)
  • Estimating survival and reproduction in a biennially breeding seabird with uncertain and unobservable states: model comparisons and impacts of climate and longline fisheries (C. Barbraud & H. Weimerskirch)
  • Structural equation modeling of mark-recapture data: assessing costs of reproduction on survival in blue tits (S. Cubaynes, C. Doutrelant, V. Grosbois, P. Perret & O. Gimenez)
  • Adjusting age at first breeding of albatrosses and petrels for emigration and study duration using Bayesian statespace CMR models (P. Dillingham, G. Elliott, K. Walker & D. Fletcher)
  • Towards a vertebrate demographic data bank (J.D. Lebreton & S. Devillard)
• conference banquet
• Honour speaker - K. P. Burnham

Saturday, September 19

• Software session (Remi Choquet & Jim Hines)
  • RMark: an alternative approach to building linear models in MARK without the &^@#*^@# design matrices (J. Laake, E. Rexstad & E. Cooch)
  • From NOREMARK to MARK: software advancements for estimating demographic parameters using mark-resight methodology (B. McClintock & G. White)
  • Towards built-in capture-recapture mixed models in program E-SURGE (R. Choquet & O. Gimenez)
  • Modeling occupancy using program PRESENCE (J. Hines)

Sunday, September 20

• Special Wildlife Session (Fernando Spina)
  • Opening and introduction (F. Spina)
  • An overview of the dynamics of exploited populations (J.-D. Lebreton)
  • Adaptive management of wildlife harvest (J. Nichols)
  • From population ecology to policy and planning: the role of integrated population monitoring (S. Baillie)

Links

• About Pescara (WikiPedia)
• Pescara Weather
• Pescara Map

Wise Words

"The theory of probabilities is at bottom nothing but common sense reduced to calculus..."

- Pierre-Simon Laplace

"The philosophy of science is about as useful to scientists as ornithology is useful to birds...."

- Steve Weinberg

"Hanlon's razor: Never attribute to malice what can be equally attributed to abject stupidity."

"Facts are stubborn things, but statistics are more pliable..."

- Anon

"Do not put your faith in what statistics say until you have carefully considered what they do nat say..."

- William Watt

"When you can measure what you are speaking about and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of the meager and unsatisfactory kind..."

- Lord Kelvin

"Like other occult techniques of divination, the statistical method has a private jargon deliberately contrived to obscure its methods from non-practitioners..."

- G.O. Ashley

"Science has, as its whole purpose, the rendering of the physical world understandable and beautiful. Without this you have only tables and statistics..."

J.R. Oppenheimer

"58.6% of all statistics are made up on the spot."

- Anon

"If you want to inspire confidence, give plenty of statistics. It does not matter that they should be accurate, or even intelligible, as long as there is enough of them."

- Lewis Carroll

"e;Statistician: A man who believes figures don't lie, but admits that under analysis some of them won't stand up either."

E. Esar

"The new always happens against the overwhelming odds of statistical laws and their probability, which for all practical, everyday purposes amounts to certainty; the new therefore always appears in the guise of a miracle..."

- Hannah Arendt

"A statistician is a person who draws a mathematically precise line from an unwarranted assumption to a foregone conclusion...

- Anon

©EURING 2009