Natural Resources, School of


Date of this Version



The Journal of Wildlife Management, Vol. 64, No. 1 (Jan., 2000), pp. 302-313


This article is a U.S. government work, and is not subject to copyright in the United States.


Biologists often estimate separate survival and movement niles from radiotelemetry and markrecapture data from the same study population. We describe a method for combining these data l:)pes in a Single model to obtain joint, potentially less biased estimates of survival and movement that use all available data. We furnish an example using wood thrushes (Hylocichla mustelina) captured at the Piedmont National Wildlife Refuge in central Georgia in 1996. The model structure allows estimation of survival and capture probabilities, as well as estimation of movements away from and into the study area. In addition, the model structure provides many possibilities for hypothesis testing. Using the combined model structure, we estimated that weekly survival of wood thrushes was 0.989 ± 0.007 (±SE). Survival rates of banded and radio marked individuals were not different (α[Sradioed, Sbandedl = 10g[Sradioed/Sbanded] = 0.0239,95% CI = -0.0196 to 0.0486). Fidelity rates (weekly probability of remaining in a stratum) did not differ between geographic strata (~= 0.911 ± 0.020; α[Ψ1122 ]= 0.0161,95% CI = -0.0309 to 0.0631), and recapture rates (p = 0.097 ± 0.016) of banded and radiomarked individuals were not different (α[Pradioed, Pbanded] = 0.145, 95% CI = -0.510 to 0.800). Combining these data types in a common model resulted in more precise estimates of movement and recapture rates than separate estimation, but ability to detect stratum or mark-specific differences in parameters was weak. We conducted simulation trials to investigate the effects of varying study designs on parameter accuracy and statistical power to detect important differences. Parameter accuracy was high (relative bias [RBIASl