The Florida east coast terrapin (Malaclemys terrapin tequesta) is a rare and potentially endangered species that is difficult to survey because of poor detection probability and a patchy distribution. Like many rare species sampling programs, we apply a density and multistate occupancy sampling approach that considered the impacts of imperfect detection. We separated the detection process into availability of the animal within the sampling area (e.g., coming to surface) and perceptibility (actually seeing it). Our study employed a density estimation approach originally developed for birds, which combined time to detection and distance sampling within a Bayesian N-mixture model. Our study also estimated two abundance occupancy states (few and many terrapins). We were able to estimate large differences in terrapin densities between sites through functions of site-specific environmental covariates (water depth, distance to mangrove, and distance to land). The detection probability was poor (0.28) for the few terrapin occupancy state, but was much greater for many (0.75). The time to detection and distance-sampling approach for this aquatic animal should be useful for other aquatic organisms that regularly surface. Terrapins were generally available to be sighted within four minutes but detection declined rapidly to a low probability of terrapin detection >30 m. The approach of estimating density as a function of habitat covariates to identify habitat associations can provide an effective method that combined with adaptive sampling should be useful to investigate the distribution of terrapins in open water.

Adult nonbreeders are important for the stability and conservation of many species despite that their functional roles are often undervalued. Nonbreeders can buffer breeding population sizes and help their kin raise new generations of offspring, but in high numbers can compete and have negative effects. Long‐term studies are useful for elucidating relationships among nonbreeder population parameters, such as density, survival, and transitions to breeding status. Florida scrub‐jays are cooperative breeders where young delay breeding often for many years and are at risk of extinction across most of their range. Our objectives were to estimate how population covariates (pair density and mean family size) influenced Florida scrub‐jay adult nonbreeder survival and breeding transitions using long‐term data of uniquely marked birds and multistate capture–recapture models. The evolution and maintenance of Florida scrub‐jay delayed breeding has been attributed to living in crowded and sharply delineated habitat at Archbold Biological Station, the site of longest long‐term study. Contrastingly, most habitat we studied had a dynamic mixture of habitat quality with mean family sizes and pair densities much lower than the stable, optimal habitat at Archbold Biological Station. Despite having densities below carrying capacity, Florida scrub‐jays still delayed breeding. We found that greater mean family size was associated with greater breeder survival, possibly because nonbreeders contributed to predator detection and territory defense. Nonbreeder‐to‐breeder transitions increased with increased annual breeder mortality rates but were influenced little by population densities. Most Florida scrub‐jays became breeders by replacing dead breeders within occupied territories, and many male and female nonbreeders inherited their territories upon the death of their parents. Nonbreeders buffered changes in the breeding population supporting greater recognition of nonbreeder population roles within field and modeling studies.

Fecundity, the number of young produced by a breeding pair during a breeding season, is a primary component in evolutionary and ecological theory and applications.Fecundity can be influenced by many environmental factors and requires long-term study due to the range of variation in ecosystem dynamics. Fecundity data often include a large proportion of zeros when many pairs fail to produce any young during a breeding season due to nest failure or when all young die independently after fledging. We conducted color banding and monthly censuses of Florida scrub-jays (Aphelocoma coerulescens) across 31 years, 15 populations, and 761 territories along central Florida's Atlantic coast. We quantified how fecundity (juveniles/pair-year) was influenced by habitat quality, presence/absence of nonbreeders, population density, breeder experience, and rainfall, with a zero-inflated Bayesian hierarchical model including both a Bernoulli (e.g., brood success) and a Poisson (counts of young) submodel, and random effects for year, population, and territory. The results identified the importance of increasing "strong" quality habitat, which was a mid-successional state related to fire frequency and extent, because strong territories, and the proportion of strong territories in the overall population, influenced fecundity of breeding pairs. Populations subject to supplementary feeding also had greater fecundity.Territory size, population density, breeder experience, and rainfall surprisingly had no or small effects. Different mechanisms appeared to cause annual variation in fecundity, as estimates of random effects were not correlated between the success and count submodels. The increased fecundity for pairs with nonbreeders, compared to pairs without, identified empirical research needed to understand how the proportion of low-quality habitats influences population recovery and sustainability, because dispersal into low-quality habitats can drain nonbreeders from strong territories and decrease overall fecundity. We also describe how long-term study resulted in reversals in our understanding because of complications involving habitat quality, sociobiology, and population density.