Workshop: Modeling and
Estimation Based on Capture-Recapture and Occupancy Data
May 19-23, 2008
Volcano, Hawai‘i
Organizer: Jeff Hatfield
Instructors: Larissa Bailey, Jim Hines, Bill Kendall, Jim Nichols
Monday, May 19, 8am-noon, Conference Room, Kilauea Field Station:
Introduction to workshop
Introduction of instructors/participants/students and their backgrounds and objectives
Conceptual framework for population ecology & management
Statistical Inference A
Statistical distributions (e.g., normal, multinomial)
Parameter estimation
Hypothesis testing
Model selection
Statistical Inference B
Survey sampling
Sampling design features
Some designs
Tuesday, May 20, 8am-4:30pm, Lehua
Room,
Capture-recapture studies
Closed CR models
2-sample model
2-sample model exercises (MARK)
K-sample closed models
K-sample closed model exercises, CAPTURE, MARK
Open population CR models
Single-age models A (survival and capture probabilities)
LUNCH, noon-1pm
MARK: PIMs and design matrices
MARK exercises: Single-age models, band recovery models
Single-age models B (abundance, λ and components of λ )
Multiple-age models
Multiple-age model exercises
Wednesday, May 21, 8am-4:30pm, Lehua
Room,
Multistate models: basic
Multistate model exercise
Multistate models: unobservable states and state misclassification
LUNCH, noon-1pm
Open models with extra information (band recoveries, telemetry, auxiliary sightings
Pollock’s robust design
Introduction
Robust design extensions
Robust design computer exercises
Thursday, May 22, 8am-4:30pm, Lehua
Room,
Occupancy studies
Single-season, single species occupancy
Models and estimation
Computer exercise (PRESENCE)
Study design
Computer exercise (GENPRES)
LUNCH, noon-1pm
Multiple-season occupancy dynamics
Models and estimation
Computer exercise with PRESENCE
Study design
Computer exercise (GENPRES)
Friday, May 23, 8am-4pm, Lehua
Room,
Occupancy extensions
Multistate occupancy
Multistate exercises
Multi-device occupancy
Joint occupancy-habitat modeling
2-species occupancy
Community level occupancy
LUNCH, noon-1pm
Adaptive management example with occupancy
Questions and work on participants’ data