61 research outputs found

    Testing Whether Camera Presence Influences Habitat Specific Predation Pressure on Artificial Shorebird Nests in the Arctic

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    When monitoring the breeding ecology of birds, the causes and times of nest failure can be difficult to determine. Cameras placed near nests allow for accurate monitoring of nest fate, but their presence may increase the risk of predation by attracting predators, leading to biased results. The relative influence of cameras on nest predation risk may also depend on habitat because predator numbers or behaviour can change in response to the availability or accessibility of nests. We evaluated the impact of camera presence on the predation rate of artificial nests placed within mesic tundra habitats used by Arctic-breeding shorebirds. We deployed 94 artificial nests, half with cameras and half without, during the shorebird-nesting season of 2015 in the East Bay Migratory Bird Sanctuary, Nunavut. Artificial nests were distributed evenly across sedge meadow and supratidal habitats typically used by nesting shorebirds. We used the Cox proportional hazards model to assess differential nest survival in relation to camera presence, habitat type, placement date, and all potential interactions. Artificial nests with cameras did not experience higher predation risk than those without cameras. Predation risk of artificial nests was related to an interaction between habitat type and placement date. Nests deployed in sedge meadows and in supratidal habitats later in the season were subject to a higher risk of predation than those deployed in supratidal habitats early in the season. These differences in predation risk are likely driven by the foraging behaviour of Arctic fox (Vulpes lagopus), a species that accounted for 81% of observed predation events in this study. Arctic fox prey primarily on Arvicoline prey and goose eggs at this site and take shorebird nests opportunistically, perhaps more often later in the season when their preferred prey becomes scarcer. This study demonstrates that, at this site, cameras used for nest monitoring do not influence predation risk. Evaluating the impact of cameras on predation risk is critical prior to their use, as individual study areas may differ in terms of predator species and behaviour.Lors de la surveillance de l’écologie de reproduction des oiseaux, les causes et les pĂ©riodes de dĂ©faillance des nids peuvent ĂȘtre difficiles Ă  dĂ©terminer. Des camĂ©ras placĂ©es prĂšs des nids permettent une surveillance prĂ©cise du sort des nids, mais leur prĂ©sence peut augmenter le risque de prĂ©dation en attirant les prĂ©dateurs, ce qui entraĂźne des rĂ©sultats biaisĂ©s. L’influence relative des camĂ©ras sur le risque de prĂ©dation des nids peut Ă©galement dĂ©pendre de l’habitat, car le nombre ou le comportement des prĂ©dateurs peut changer en fonction de la disponibilitĂ© ou de l’accessibilitĂ© des nids. Nous avons Ă©valuĂ© l’impact de la prĂ©sence de camĂ©ras sur le taux de prĂ©dation des nids artificiels placĂ©s dans les habitats de la toundra mĂ©sique utilisĂ©s par les limicoles se reproduisant dans l’Arctique. Nous avons installĂ© 94 nids artificiels, la moitiĂ© avec des camĂ©ras et l’autre moitiĂ© sans camĂ©ras, pendant la saison de nidification des limicoles de 2015 dans le Refuge d’oiseaux migrateurs de la baie Est, au Nunavut. Les nids artificiels Ă©taient rĂ©partis uniformĂ©ment dans les cariçaies et les habitats supratidaux gĂ©nĂ©ralement utilisĂ©s par les limicoles nicheurs. Nous avons utilisĂ© le modĂšle Ă  risques proportionnels de Cox pour Ă©valuer la survie diffĂ©rentielle des nids en fonction de la prĂ©sence de camĂ©ras, du type d’habitat, de la date d’installation des camĂ©ras et de toutes les interactions potentielles. Les nids artificiels Ă©quipĂ©s de camĂ©ras ne prĂ©sentaient pas de risque de prĂ©dation plus Ă©levĂ© que ceux sans camĂ©ras. Le risque de prĂ©dation des nids artificiels Ă©tait liĂ© Ă  une interaction entre le type d’habitat et la date d’installation des camĂ©ras. Plus tard dans la saison, les nids placĂ©s dans les cariçaies et dans les habitats supratidaux ont fait l’objet d’un risque de prĂ©dation plus Ă©levĂ© que ceux des habitats supratidaux en dĂ©but de saison. Ces diffĂ©rences de risque de prĂ©dation sont probablement attribuables au comportement d’alimentation du renard arctique (Vulpes lagopus), une espĂšce qui reprĂ©sentait 81 % des Ă©vĂ©nements de prĂ©dation observĂ©s dans cette Ă©tude. Le renard arctique se nourrit principalement d’arvicolinĂ©s et d’oeufs d’oie sur ce site, et s’empare des nids de limicoles de maniĂšre opportuniste, peut-ĂȘtre plus souvent plus tard dans la saison, lorsque ses proies prĂ©fĂ©rĂ©es se font plus rares. Cette Ă©tude dĂ©montre que, sur ce site, les camĂ©ras servant Ă  la surveillance des nids n’influencent pas le risque de prĂ©dation. Il est essentiel d’évaluer l’impact des camĂ©ras sur le risque de prĂ©dation avant leur utilisation, car chacune des zones Ă©tudiĂ©es peut diffĂ©rer sur le plan des espĂšces de prĂ©dateurs et des comportements

    Drought at a coastal wetland affects refuelling and migration strategies of shorebirds

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    Droughts can affect invertebrate communities in wetlands, which can have bottom-up effects on the condition and survival of top predators. Shorebirds, key predators at coastal wetlands, have experienced widespread population declines and could be negatively affected by droughts. We explored, in detail, the effects of drought on multiple aspects of shorebird stopover and migration ecology by contrasting a year with average wet/dry conditions (2016) with a year with moderate drought (2017) at a major subarctic stopover site on southbound migration. We also examined the effects of drought on shorebird body mass during stopover across 14 years (historical: 1974–1982 and present-day: 2014–2018). For the detailed comparison of two years, in the year with moderate drought we documented lower invertebrate abundance at some sites, higher prey family richness in shorebird faecal samples, lower shorebird refuelling rates, shorter stopover durations for juveniles, and, for most species, a higher probability of making a subsequent stopover in North America after departing the subarctic, compared to the year with average wet/dry conditions. In the 14-year dataset, shorebird body mass tended to be lower in drier years. We show that even short-term, moderate drought conditions can negatively affect shorebird refuelling performance at coastal wetlands, which may carry-over to affect subsequent stopover decisions. Given shorebird population declines and predicted changes in the severity and duration of droughts with climate change, researchers should prioritize a better understanding of how droughts affect shorebird refuelling performance and survival

    “One Health” or Three? Publication Silos Among the One Health Disciplines

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    The One Health initiative is a global effort fostering interdisciplinary collaborations to address challenges in human, animal, and environmental health. While One Health has received considerable press, its benefits remain unclear because its effects have not been quantitatively described. We systematically surveyed the published literature and used social network analysis to measure interdisciplinarity in One Health studies constructing dynamic pathogen transmission models. The number of publications fulfilling our search criteria increased by 14.6% per year, which is faster than growth rates for life sciences as a whole and for most biology subdisciplines. Surveyed publications clustered into three communities: one used by ecologists, one used by veterinarians, and a third diverse-authorship community used by population biologists, mathematicians, epidemiologists, and experts in human health. Overlap between these communities increased through time in terms of author number, diversity of co-author affiliations, and diversity of citations. However, communities continue to differ in the systems studied, questions asked, and methods employed. While the infectious disease research community has made significant progress toward integrating its participating disciplines, some segregation—especially along the veterinary/ecological research interface—remains

    Long-distance migratory shorebirds travel faster towards their breeding grounds, but fly faster post-breeding

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    Long-distance migrants are assumed to be more time-limited during the pre-breeding season compared to the post-breeding season. Although breeding-related time constraints may be absent post-breeding, additional factors such as predation risk could lead to time constraints that were previously underestimated. By using an automated radio telemetry system, we compared pre- and post-breeding movements of long-distance migrant shorebirds on a continent-wide scale. From 2014 to 2016, we deployed radio transmitters on 1,937 individuals of 4 shorebird species at 13 sites distributed across North America. Following theoretical predictions, all species migrated faster during the pre-breeding season, compared to the post-breeding season. These differences in migration speed between seasons were attributable primarily to longer stopover durations in the post-breeding season. In contrast, and counter to our expectations, all species had higher airspeeds during the post-breeding season, even after accounting for seasonal differences in wind. Arriving at the breeding grounds in good body condition is beneficial for survival and reproductive success and this energetic constraint might explain why airspeeds are not maximised in the pre-breeding season. We show that the higher airspeeds in the post-breeding season precede a wave of avian predators, which could suggest that migrant shorebirds show predation-minimizing behaviour during the post-breeding season. Our results reaffirm the important role of time constraints during northward migration and suggest that both energy and predation-risk constrain migratory behaviour during the post-breeding season

    Unexpected diversity in socially synchronized rhythms of shorebirds

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    The behavioural rhythms of organisms are thought to be under strong selection, influenced by the rhythmicity of the environment1, 2, 3, 4. Such behavioural rhythms are well studied in isolated individuals under laboratory conditions1, 5, but free-living individuals have to temporally synchronize their activities with those of others, including potential mates, competitors, prey and predators6, 7, 8, 9, 10. Individuals can temporally segregate their daily activities (for example, prey avoiding predators, subordinates avoiding dominants) or synchronize their activities (for example, group foraging, communal defence, pairs reproducing or caring for offspring)6, 7, 8, 9, 11. The behavioural rhythms that emerge from such social synchronization and the underlying evolutionary and ecological drivers that shape them remain poorly understood5, 6, 7, 9. Here we investigate these rhythms in the context of biparental care, a particularly sensitive phase of social synchronization12 where pair members potentially compromise their individual rhythms. Using data from 729 nests of 91 populations of 32 biparentally incubating shorebird species, where parents synchronize to achieve continuous coverage of developing eggs, we report remarkable within- and between-species diversity in incubation rhythms. Between species, the median length of one parent’s incubation bout varied from 1–19 h, whereas period length—the time in which a parent’s probability to incubate cycles once between its highest and lowest value—varied from 6–43 h. The length of incubation bouts was unrelated to variables reflecting energetic demands, but species relying on crypsis (the ability to avoid detection by other animals) had longer incubation bouts than those that are readily visible or who actively protect their nest against predators. Rhythms entrainable to the 24-h light–dark cycle were less prevalent at high latitudes and absent in 18 species. Our results indicate that even under similar environmental conditions and despite 24-h environmental cues, social synchronization can generate far more diverse behavioural rhythms than expected from studies of individuals in captivity5, 6, 7, 9. The risk of predation, not the risk of starvation, may be a key factor underlying the diversity in these rhythms
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