- Lab 12 Count-based PVA In today's lab, we'll use one of the simplest forms of population viability analyses to explore
- Lab 2 Follow up 1. Obtaining estimates of (a) ln( )1
- esign: combining closed and open populations The Robust D hapter 19 k
- Lab 11 Occupancy models for singlespecies, multiseason Today's lab will be based on exercise 4 that is provided with Program PRESENCE. The dataset consists
- Lab Exercise #8 Reproductive Value "Reproductive value of an individual of age x is a measure of the extent to which it
- Lab 7 -Closed Population C-R Models Today, you will (1) build a variety of closed population models in MARK, (2) check
- Lab 06 Multi-strata models This week's lab provides a hands-on exercise with multi-strata models. As you are working on
- Black Duck example with both time variation & individual variation in weekly survival rates 1. Save the files (need the dbf and fpt to open in MARK; need the inp if want to see input)
- ab 5 Live Recaptures Age + Individual Covariates Today's lab works with live recaptures data and adds consideration of age and individual covariates
- Multi-state Models for live recaptures (Closely follows the text on pages 454-468 of the Williams et al. book)
- Lab 1 Estimating Survival when Animal Fates are Known Today's lab will give you hands-on experience with estimating survival rates using
- LITERATURE CITED AEBISCHER, N. J. 1999. Multi-way comparisons and
- Lab 3 CJS Page 1 Lab 3 CJS Models
- BREEDING ECOLOGY, SURVIVAL RATES, AND CAUSES OF MORTALITY OF HUNTED AND NONHUNTED GREATER SAGE-GROUSE
- Estimating Reproductive Costs with Multi-State Mark-Recapture Models, Multiple Observable
- LAB SCHEDULE Spring 2011
- Problem Set #4 A. Use R, the popbio package, and the file MatrixModelDeterm.r to learn about the
- F&WL 501 -Problem Set # 5 A. Work with the file kestrels.r to obtain sensitivity and elasticity results for lower-level
- F&WL 501 Problem Set #7 Density-dependence -variation
- F&WL 501 Lab #10 Introduction to the dynamics of spatially structured populations
- Lab 11 Matrix models of metapopulations Hunter & Caswell (2005) provide a nice explanation of the different ways in which a
- Lab 2 from Known-fate Data with Individual Covariates^S Today's lab presents material that will allow you to handle additional complexity in
- Input data summary It is important to understand the nature of the data you are working with: how large is the sample, how
- Some thoughts on using the design matrix for known-fate data Page 1 Consider the following dataset = 3 groups & 3 intervals
- Group # Released in year 1 # Recaptured in year 2 High flow 50 30
- CormackJollySeber Models Estimating Apparent Survival from MarkResight Data & OpenPopulation Models
- GOF pg. 1 Testing GOF & Estimating Overdispersion
- ab 4 CJS Models: comparing groups, QAICc, & model averaging This lab will extend your abilities for working with data from live capturerecapture studies and give you
- Delta method Appendix F of WNC (esp. F.4) & Appendix B of CW
- Lab 10 Occupancy models for singlespecies, singleseason This week's lab provides you with an introduction to singlespecies occupancy modeling. You'll
- Individual covariates in markrecapture modeling Consider how you want to model each real parameter ( & p), i.e., how will you constrain each as a
- upancy estim Often it is
- Logistic Regression in MARK Why MARK for this? unified tool for the semester
- Problem Set #3 The following demographic information exists for a population.
- The Binomial Distribution The binomial distribution is a finite discrete distribution. The binomial distribution arises in situations
- How are likelihoods calculated when individual covariates are considered? Consider a data set for 6 animals
- F&WL 501 -Lab Exercise #9 Part A. Investigate the compensatory and additive mortality hypotheses using the R script titled,
- INFLUENCE OF POSTFIRE SALVAGE LOGGING ON BLACK-BACKED WOODPECKER NEST-SITE SELECTION AND NEST SURVIVAL
- Testing GOF & Estimating Overdispersion Your Most General Model Needs to Fit the Dataset
- ab 8 JollySeber Modeling Today, we'll work with 2 datasets and learn how to implement Schwarz and Arnason's formulation of
- Ecological Modelling 188 (2005) 1521 The use of the vec-permutation matrix in spatial
- A SMOOTHED RESIDUAL BASED GOODNESS-OF-FIT STATISTIC FOR NEST-SURVIVAL MODELS
- Estimating abundance with mark-recapture data from a closed population Reading is Chapter 14 of WNC book (especially sections 14.1 & 14.2)
- Multimodel inference (built from Chapter 4 of Cooch & White) Support statements based on AIC weights
- SURVIVAL AND SUMMER HABITAT SELECTION OF MALE GREATER SAGE-GROUSE (Centrocercus urophasianus) IN SOUTHWESTERN MONTANA
- ab 9 The Robust Design Supporting material: Ch 19 of WNC; Ch 15 of CW
- Lab 3 Follow Up Page 1 Lab 3 Follow Up Page 2
- Estimating abundance & recruitment with markrecapture methods Ch. 18 of WNC & Ch. 13 of CW
- F&WL 501 -Lab #2 Stochastic Exponential Growth 1. In Chapter 2, you learned of the formula for calculating the geometric mean based on
- Lab 1 exercises for learning R & introduction to population dynamics work in R Examine the R help file
- EXTENDING METHODS FOR MODELING HETEROGENEITY IN NEST-SURVIVAL DATA USING GENERALIZED MIXED MODELS
- Modeling known-fate data on survival binomials & logistic regression Consider the following dataset
- MODELING NEST-SURVIVAL DATA: RECENT IMPROVEMENTS AND FUTURE DIRECTIONS
- F&WL 501 -Problem Set # 6 Density-dependence
- NUTRIENT ALLOCATION TO EGG FORMATION OF LESSER SCAUP Kyle Anthony Cutting
- COMMON LOON NESTING ECOLOGY IN NORTHWEST MONTANA Justin Isaac Paugh
- An mij array representation of European Dipper data for males. Values indicate how many of the animals were first recaptured after release on occasion i.
