1) In a Lincoln-Petersen study
a. What is the coefficient of variation (CV) for an estimated population size of N= 200, and equal capture and recapture probabilities of p=0.2?
b. What sampling effort is required, given p1=p2, to reduce CV by 50%?
c. What is the equivalent in number of captured animals?
d. Repeat (b) and (c) for a case where recapturing is 30% cheaper than capturing for the first time.
2) Using the closed CMR model structure in RMark, and data from Edwards and Eberhardt
Create an additional model where captures are constant over time, and recaptures vary over time (call it Mb_ct)
Obtain model averaged estimates of abundance including this model
3) Using the ‘Fullhet’ closed CMR model structure in RMark, and data from Edwards and Eberhardt
Create a model where captures are constant over time, but have two groups, and recaptures vary over time but have a single mixture group (call it Mbh_c)
Obtain model averaged estimates of abundance including this model
4) Using the ‘Huggins’ CMR model structure in RMark, add a model with additive effect of covariate ´x´ and time on the capture probabilities and use this (with the previous data and models) to get a model averaged estimate of N and unconditional SE(N).