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Annie E. Schmidt

Publications and source records attributed to Annie E. Schmidt.

6 recordsLinked to original sources

Age and colony variation in Adélie penguin metapopulation vital rates: Insights from a 25-year mark–recapture study

Understanding how vital rates vary with age, life-history stage, and among populations is fundamental for predicting the demographic consequences of environmental change, especially in longer-lived species with complex life histories. These species often exhibit delayed maturity and iteroparity, making nuanced demographic insights critical for assessing their long-term viability. This study investigated age- and colony-related variation in Adélie penguin vital rates including survival, recruitment, and breeding propensity. We used mark–recapture data collected over 25 years (1996–2020) from three Adélie penguin breeding colonies that differed in population sizes and trends but comprised a metapopulation located at capes Royds, Bird, and Crozier on Ross Island, Antarctica. We used multi-state models to estimate survival and detection rates relative to reproductive state and breeding colony and estimated transition probabilities reflecting movements between reproductive states and colonies. Apparent survival varied by reproductive state, colony, and age and averaged 0.80 (SD = 0.02) at Bird, and 0.72 (SD = 0.03) and 0.73 (SD = 0.03) at Crozier and Royds, respectively, for pre-breeders age 2–7 years with strong declines in pre-breeder survival after age 8. We observed less age-related variation in survival of breeders and non-breeders, but we observed differences between colonies with lower survival for breeders (0.72 to 0.80) compared to non-breeders (0.75 to 0.82). The average probability of surviving the first 2 years after fledging ranged from 0.43 (SD = 0.14) at Royds and Crozier (0.43, SD = 0.10) to 0.55 (SD = 0.15) at Bird. Movement between colonies was highest for pre-breeders (0.00%–12.00% depending on age and colony) and lowest for breeders (<0.20%). We observed the lowest age-related recruitment rates at Royds, with recruitment at Crozier almost twice as high, and intermediate at Bird. Breeding propensity was highest at Crozier and lowest at Bird. Colony-specific variation in vital rates likely contributed differently to population trajectories, suggesting that care must be taken to extrapolate vital rate estimates across colonies even within a metapopulation. These findings also highlight the importance of considering age, life-history stage, and geographic variation when assessing population vital rates in species with complex life histories.

Frontiers in Ecology and Environment↗

Novel avian papillomaviruses identified in a south polar skua sampled on Ross Island, Antarctica

Papillomaviruses are small circular DNA viruses that infect epithelial cells of their hosts. Avian papillomaviruses are poorly sampled/documented compared to those infecting humans. We used a viral metagenomic approach to identify viruses from the oral swab taken from a deceased south polar skua ( Stercorarius maccormicki ) found at Cape Royds, Ross Island, Antarctica in late 2024. We identified three papillomaviruses and determined their complete genomes, Stercorarius maccormicki papillomavirus (SmacPV) 1-3. SmacPV1 is the most divergent of the three SmacPVs, sharing 62% genome-wide pairwise identity to SmacPV2 and SmacPV3 and <63.5% to other avian papillomaviruses. The genomes of SmacPV2 and SmacPV3 represent two new papillomavirus types sharing 82.4% genome-wide pairwise identity with each other and <72% to other papillomaviruses. SmacPV2 and SmacPV3 phylogenetically cluster with sequences of the Rissa tridactyla papillomavirus 1 from black-legged kittiwake ( Rissa tridactyla ), Larus smithsonianus papillomavirus 1 from American herring gull ( Larus smithsonianus ) and Fratercula arctica papillomavirus 1 from Atlantic puffin ( Fratercula arctica ), and they collectively represent a new papillomavirus species. These are the first papillomaviruses to be identified in Stercorarius spp . and add to the handful of known papillomaviruses in identified avian species. We also expand the known host range of papillomaviruses in Antarctic animals, which previously included Adélie penguins ( Pygoscelis adeliae ), Weddell seals ( Leptonychotes weddellii ), Antarctic fur seals ( Arctocephalus gazella ), leopard seals ( Hydrurga leptonyx ) and emerald notothen ( Trematomus bernacchii ).

Archives of Virology↗

Timing the tuxedo transformation: Moult phenology reflects breeding investment and intrinsic constraints in Adélie penguins

Vertebrate life histories are often divided into distinct periods, with the breeding season typically receiving the most research attention. For polar seabirds, non-breeding phases like moult remain understudied, despite their importance for survival and overall fitness. Adélie penguins ( Pygoscelis adeliae ) replace their highly specialized feathers during an approximately 19-day annual moult, typically carried out while fasting on sea ice. The required fast and elevated metabolic rate may create a significant energetic bottleneck. We analysed data from geolocating dive recorders deployed on known-age Adélie penguins and non-known-age pairs from two Ross Island colonies over three winters (2017–2019). Moult start date was influenced by breeding success, intrinsic factors (age, sex) and extrinsic factors (year), with males, older birds and successful breeders moulting later. Moult duration varied primarily with individual ID, though later initiation correlated with shorter duration, particularly when located further south. Moult duration was longer in the western Ross Sea, a region that was used exclusively by males. The association between moult start date and duration may lead to differential sex and breeding status effects, with older males more likely to face a trade-off between successful breeding and self-maintenance tasks like feather replacement.

Proceedings of the Royal Society B↗

Diversity of polyomaviruses and papillomaviruses in penguins from eastern and western Antarctica

Polyomaviruses and papillomaviruses are icosahedral viruses with small circular dsDNA genomes. Limited information on their diversity and evolution in avian hosts is available, with even less known regarding Antarctic penguins. Prior to this study, only one polyomavirus and two papillomaviruses had been identified in Adélie penguins ( Pygoscelis adeliae ). To expand our knowledge of these viruses in Antarctic penguins, we collected faecal and cloacal swab samples from 246 Adélie penguins over 3 breeding seasons (2021–2024) and 10 emperor penguins ( Aptenodytes forsteri ) during the 2023–2024 season on Ross Island (Ross Sea). Additionally, we sampled 66 Adélie, 40 chinstrap ( Pygoscelis antarcticus ) and 71 gentoo ( Pygoscelis papua ) penguins during the 2022–2023 season across various sites on the Antarctic Peninsula. All samples were screened for papillomaviruses and polyomaviruses. We identified 31 polyomaviruses in Adélie, gentoo and chinstrap penguins and 4 papillomaviruses in Adélie penguins sampled in both eastern and western Antarctica. The 31 penguin polyomaviruses belong to a single species but form four distinct variants that are host species specific with strong geographic clustering. The four papillomaviruses represent three different types, of which two are new types from Adélie penguins sampled on Yalour Island in the West Antarctic Peninsula. Co-occurrence of two polyomavirus variants was identified in two individual gentoo penguins. Both of these variants appear to be circulating in gentoo penguins at Cierva Cove, Hope Bay in Trinity Peninsula along the Antarctic Peninsula, and at Hannah Point on Livingstone Island and Stranger Point on King George Island in the South Shetland Islands. Here, we expand the known diversity, host and geographical ranges of penguin polyomaviruses and, together with a previously identified polyomavirus on Ross Island from 2012 to 2013, show that they form five distinct lineages. The four papillomaviruses identified in this study, together with two previously identified from Ross Island in 2012 and 2013 breeding seasons, show substantial diversity reflecting four papillomavirus types across three viral species and two distinct genera. Continued surveillance and viral genomic analysis across a larger geographical framework will help understand the evolution, transmission and incidence rates of these viruses.

Microbial Genomics↗

Sea ice concentration decline in an important Adélie penguin molt area

Unlike in many polar regions, the spatial extent and duration of the sea ice season have increased in the Ross Sea sector of the Southern Ocean during the satellite era. Simultaneously, populations of Adélie penguins, a sea ice obligate, have been stable or increasing in the region. Relationships between Adélie penguin population growth and sea ice concentration are complex, with sea ice driving different, sometimes contrasting, demographic patterns. Adélie penguins undergo a complete molt annually, replacing all their feathers while fasting shortly after the breeding season. Unlike most penguin species, a majority of Adélies are thought to molt on sea ice, away from the breeding colonies, which makes this period particularly difficult to study. Here, we evaluate the hypothesis that persistent areas of high sea ice concentration provide important molting habitat for Adélie penguins. We analyzed data from geolocating dive recorders deployed year-round on 195 adult penguins at two colonies in the Ross Sea from 2017-2019. We identified molt by detecting extended gaps in post-breeding diving activity and used associated locations to define two key molting areas. Remotely sensed data indicated that sea ice concentration during molt was anomalously low during the study and has declined in the primary molt area since 1980. Further, annual return rates of penguins to breeding colonies were positively correlated with sea ice concentration in the molt areas over 20 years. Together these results suggest that sea ice conditions during Adélie penguin molt may represent a previously underappreciated annual bottleneck for adult survival.

PNAS↗

The influence of subcolony-scale nesting habitat on the reproductive success of Adélie penguins

Group-size variation is common in colonially breeding species, including seabirds, whose breeding colonies can vary in size by several orders of magnitude. Seabirds are some of the most threatened marine taxa and understanding the drivers of colony size variation is more important than ever. Reproductive success is an important demographic parameter that can impact colony size, and it varies in association with a number of factors, including nesting habitat quality. Within colonies, seabirds often aggregate into distinct groups or subcolonies that may vary in quality. We used data from two colonies of Adélie penguins 73 km apart on Ross Island, Antarctica, one large and one small to investigate (1) How subcolony habitat characteristics influence reproductive success and (2) How these relationships differ at a small (Cape Royds) and large (Cape Crozier) colony with different terrain characteristics. Subcolonies were characterized using terrain attributes (elevation, slope aspect, slope steepness, wind shelter, flow accumulation), as well group characteristics (area/size, perimeter-to-area ratio, and proximity to nest predators). Reproductive success was higher and less variable at the larger colony while subcolony characteristics explained more of the variance in reproductive success at the small colony. The most important variable influencing subcolony quality at both colonies was perimeter-to-area ratio, likely reflecting the importance of nest predation by south polar skuas along subcolony edges. The small colony contained a higher proportion of edge nests thus higher potential impact from skua nest predation. Stochastic environmental events may facilitate smaller colonies becoming “trapped” by nest predation: a rapid decline in the number of breeding individuals may increase the proportion of edge nests, leading to higher relative nest predation and hindering population recovery. Several terrain covariates were retained in the final models but which variables, the shapes of the relationships, and importance varied between colonies.

Scientific Reports↗