Abstract:The application of uniform conservation schemes often fails to account for small-scale spatial variation in the drivers of population decline. Demographic comparisons of imperilled populations across locations are therefore crucial for successful conservation, but progress is hampered by lack of long-term data from more than a single population. The recent large-scale decline of eider ducks (Somateria mollissima) in the Baltic Sea is ideal for determining to what extent mechanisms underlying population decline… Show more
“…; Öst et al. ). Incorrect conclusions about monitored populations can arise from short time series (Krebs ; White ); inconsistent methods (Hayward et al.…”
Detecting population declines is a critical task for conservation biology. Logistical difficulties and the spatiotemporal variability of populations make estimation of population declines difficult. For statistical reasons, estimates of population decline may be biased when study sites are chosen based on abundance of the focal species. In this situation, apparent population declines are likely to be detected even if there is no decline. This site‐selection bias is mentioned in the literature but is not well known. We used simulations and real population data to examine the effects of site‐selection biases on inferences about population trends. We used a left‐censoring method to detect population‐size patterns consistent with site‐selection bias. The site‐selection bias is an important consideration for conservation biologists, and we offer suggestions for minimizing or mitigating it in study design and analysis.
Article impact statement: Estimates of population declines are biased if studies begin in large populations, and time‐series data show a signature of such an effect.
“…; Öst et al. ). Incorrect conclusions about monitored populations can arise from short time series (Krebs ; White ); inconsistent methods (Hayward et al.…”
Detecting population declines is a critical task for conservation biology. Logistical difficulties and the spatiotemporal variability of populations make estimation of population declines difficult. For statistical reasons, estimates of population decline may be biased when study sites are chosen based on abundance of the focal species. In this situation, apparent population declines are likely to be detected even if there is no decline. This site‐selection bias is mentioned in the literature but is not well known. We used simulations and real population data to examine the effects of site‐selection biases on inferences about population trends. We used a left‐censoring method to detect population‐size patterns consistent with site‐selection bias. The site‐selection bias is an important consideration for conservation biologists, and we offer suggestions for minimizing or mitigating it in study design and analysis.
Article impact statement: Estimates of population declines are biased if studies begin in large populations, and time‐series data show a signature of such an effect.
“…However, this estimate did not consider population age structure or the fact that individuals across different ages contribute disproportionally to population dynamics. For example, in their study on the decline of female eiders in the Baltic Sea area, Öst et al [ 19 ] showed that the population growth rate of females is far more sensitive to small proportional changes in the mortality of older, experienced breeders than to those of younger age classes. Such a pattern is typical for long-lived vertebrates, including many birds [ 12 , 20 ] and is due to the greater reproductive value of older, reproductive individuals that have high survival [ 21 ].…”
In contrast to theoretical predictions of even adult sex ratios, males are dominating in many bird populations. Such bias among adults may be critical to population growth and viability. Nevertheless, demographic mechanisms for biased adult sex ratios are still poorly understood. Here, we examined potential demographic mechanisms for the recent dramatic shift from a slight female bias among adult eider ducks (Somateria mollissima) to a male bias (about 65% males) in the Baltic Sea, where the species is currently declining. We analysed a nine-year dataset on offspring sex ratio at hatching based on molecularly sexed ducklings of individually known mothers. Moreover, using demographic data from long-term individual-based capture-recapture records, we investigated how sex-specific survival at different ages after fledgling can modify the adult sex ratio. More specifically, we constructed a stochastic two-sex matrix population model and simulated scenarios of different survival probabilities for males and females. We found that sex ratio at hatching was slightly female-biased (52.8%) and therefore unlikely to explain the observed male bias among adult birds. Our stochastic simulations with higher survival for males than for females revealed that despite a slight female bias at hatching, study populations shifted to a male-biased adult sex ratio (> 60% males) in a few decades. This shift was driven by prime reproductive-age individuals (≥5-year-old), with sex-specific survival of younger age classes playing a minor role. Hence, different age classes contributed disproportionally to population dynamics. We argue that an alternative explanation for the observed male dominance among adults–sex-biased dispersal–can be considered redundant and is unlikely, given the ecology of the species. The present study highlights the importance of considering population structure and age-specific vital rates when assessing population dynamics and management targets.
“…Öst et al. () found that common eiders breeding along the eastern edge of their range had significantly lower reproductive success than a population breeding in the core of their range. Low fertility may also be the result of negative impacts on survival immature birds once they leave the breeding grounds (birds younger than 1 yr old).…”
Abstract. The Alaskan breeding population of Steller's eiders (Polysticta stelleri) was listed as threatened under the Endangered Species Act in 1997 in response to declines in abundance and a contraction in their breeding and nesting range. Aerial surveys suggest the breeding population is small and breeds in highly variable numbers, with zero birds counted in five of the last 25 years. The primary objective of this research was to evaluate competing population process models of Alaskan breeding Steller's eiders through comparison of model projections to aerial survey data. To evaluate model efficacy and estimate demographic parameters, we used a Bayesian state-space modeling framework and fit each model to counts from the annual aerial surveys using sequential importance sampling/resampling. The results strongly support that the Alaskan breeding population experiences population-level non-breeding events, and is open to exchange with the larger Russian-Pacific breeding population. Current recovery criteria for the Alaskan breeding population rely heavily on the ability to estimate population viability. Our results provide an informative model of population process that can be used to examine future population states and assess the population in terms of the current recovery and reclassification criteria.
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