Modeling post-fledging survival of Lark Buntings in response to ecological and biological factors.
We evaluated the influences of several ecological, biological, and methodological factors on post-fledging survival of a shortgrass prairie bird, the Lark Bunting (Calamospiza melanocorys). We estimated daily post-fledging survival (n = 206, 82 broods) using radiotelemetry and color bands to track fledglings. Daily survival probabilities were best explained by drought intensity, time in season (quadratic trend), ages < or = 3 d post-fledging, and rank given drought intensity. Drought intensity had a strong negative effect on survival. Rank was an important predictor of fledgling survival only during the severe drought of 2002 when the smallest fledglings had lower survival. Recently fledged young (ages < or = 3 d post-fledging) undergoing the transition from nest to surrounding habitat experienced markedly lower survival, demonstrating the vulnerable nature of this time period. Survival was greater in mid and late season than early season, corresponding to our assumptions of food availability. Neither mark type nor sex of attending parent influenced survival. The model-averaged product of the 22-d survival calculated using mean rank and median value of time in season was 0.360 +/- 0.08 in 2001 and 0.276 +/- 0.08 in 2002. Survival estimates that account for age, condition of young, ecological conditions, and other factors are important for parameterization of realistic population models. Biologists using population growth models to elucidate mechanisms of population declines should attempt to estimate species-specific of post-fledging survival rather than use generalized estimates.
Yackel Adams
Amy A
AA
Department of Fishery and Wildlife Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins 80523, USA. ayackel@cnr.colostate.edu
Skagen
Susan K
SK
Savidge
Julie A
JA
D000818:Animals; D049628:Body Size / Q000502:physiology; D003120:Colorado; D004190:Disasters; D017753:Ecosystem; D004581:Electronics / Q000295:instrumentation; D005260:Female; D008297:Male; D008954:Models, Biological; D046109:Passeriformes / Q000502:physiology*; D010944:Plants; D011156:Population Density; D011897:Random Allocation; D012621:Seasons; D016019:Survival Analysis; D013686:Telemetry / Q000662:veterinary; D013997:Time Factors