We will use the dipper dataset, introduced in week 9 practice exercises (“CJS”). The dataset consists on Capture-recapture data on the European Dipper (Cinclus cinclus), collected for 7 yr (k = 7) (1981-1987) by G. Marzolin in eastern France (Marzolin 1988). It consists of marking and recaptures of breeding adults each year during the breeding period from early March to 1 June. Birds were at least 1 yr old when initially banded. A total of 294 birds were marked and the sex identified. The data are available in RMark by invoking the data(dipper) command.
Using this dataset and using the POPAN parameterization:
data(dipper)
popan.processed=process.data(dipper,model="POPAN", group="sex")
Build models combining constant, time, and group effects on probabilities of entry to the population, recaptures, and apparent survival
Run all of the above models now also incorporating group (sex) effect on the superpopulation
Obtain model-averaged estimates of the real parameters Phi and pent and of the derived parameters N and Ngross (= superpopulation size)
Note: there is a special popan.derived function that will produced the derived parameters given a model list
Use the above to compute model-averaged estimates for B(i) = the number of animals entering between i and i+1 and f(i)=B(i)/N(i) for males and females
Note that pent refers to entry probability, so animals that enter at i=2 are part of B(1) !
Use this same dataset using Pradel survival and recruitment models (“Pradrec” parameterization)
Build models combining constant, time, and sex effects on survival and recapture probabilities, and use constant and time effects on recruitment probabilities.
Compare the model averaged real parameters phi and f with the corresponding parameters from the POPAN results