Mark-recapture analysis of natural populations

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Goodness-of-fit tests (GOF tests) CJS model assumptions (1) Every animal of the same group present at time t has the same probability of being captured at time t (2) All animals marked at time t and present in the population have the same probability of surviving until time t+1 (3) Marks are not lost, missed … (4) Sampling is instantaneous compared to time intervals
Assessing GOF with RELEASE RELEASE procedure (contingency tables) (1) TEST.1: tests overall difference between groups (not useful here) (2) TEST.2.C: tests difference in time until next capture between animals seen at time t and animals not seen at time t among all animals known to be alive between t and t+1 (3) TEST.3.SR: tests difference in “seen again” probability between animals marked at time t and animals marked before time t and known to be alive at time t (4) TEST.3.Sm: tests in “when seen again” between animals marked at time t and animals marked before time t and known to be alive at time t
Page 1 and 2: Mark-recapture analysis of natural
Page 3 and 4: MARK : a platform for MCR models
Page 5 and 6: “Recaptures only” models: data
Page 7 and 8: Start a project: “recaptures only
Page 9 and 10: Number of parameters (important for
Page 11 and 12: Number of parameters The time*sex d
Page 13: Capture estimates The time*sex dipp
Page 17 and 18: GOF-test for the “time*sex” mod
Page 19 and 20: Bootstrap GOF-test with MARK Bootst
Page 21 and 22: Model selection (1) Define an a pri
Page 23 and 24: Model selection for the dipper data
Page 25 and 26: Model selection for the dipper data
Page 27 and 28: Constrained design matrix Model flo
Page 29 and 30: Model results: estimates and CI

Mark-recapture analysis of natural populations

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