Abstract:Diving seabirds that overwinter at high latitudes experience persistent cold exposure, short days and associated declines in ocean productivity that can challenge their ability to balance daily energy budgets. We used dive-immersion geo-locators to test the hypothesis that pursuit-diving Common murres (Uria aalge) will respond to the challenges of winter in the North Atlantic through increased daily energy expenditures (DEE) that will be met by increased foraging effort and adjustments in dive tactics. Largely… Show more
“…Despite our values of DEE being based on a number of assumptions 21 , we are confident in the patterns of guillemot behaviour and energetic expenditure that we have identified for this annual cycle. Although the pattern of DEE is different to those that have been recorded in guillemot populations breeding in Newfoundland, Canada 21 and Svalbard, Norway 20 , our estimates are within the ranges reported within these studies. For each of these high latitude guillemot populations, the winter (January -February) was an energetically challenging period.…”
Section: Discussionmentioning
confidence: 81%
“…20 th July 2005-2 nd April 2006) were created using the adehabitatHR package 56 , using a least squared cross validation method and a 50 km grid size. Core use areas during the non-breeding period were represented by 50% kernel density contours 21 . (2020) 10:5993 | https://doi.org/10.1038/s41598-020-62842-x www.nature.com/scientificreports www.nature.com/scientificreports/ Daily air temperature was extracted from either Lerwick (60° 14′N, 01°18′W), Leuchars (56° 38′N, 02°86′W), Bridlington (54° 1′N, 00°21′W) or Sandettie (51° 10′N, 01°80′W) weather stations 57 , depending on which was in closest proximity to the centroid of an individual's fortnightly GLS fix cluster.…”
Section: Methodsmentioning
confidence: 99%
“…Days which did not have temperature and depth data for the entire 24 hour period were removed (n = 9) and the remaining data (n bird days = 179) were utilised to derive daily time-activity budgets. Time-activity budgets were based on the identification of five key activities: a. diving (T d ), b. flying (T f ), c. at the colony (T c ), d. active on water (T a ) and e. inactive on water (T i ) 21,60 . Active on water (T a ) included intervals on the surface between dives and longer periods between dive bouts when activities such as swimming and preening were undertaken.…”
Section: Methodsmentioning
confidence: 99%
“…S2A). Bouts of flight (T f ) were separated from bouts of inactivity (T i ) on the assumption that guillemots do not fly at night 61,62 and logger temperature being less than daily air temperature + 4 o C, as opposed to the higher temperatures expected during leg-tucking events (T i 21,60 ). We validated this classification of T f and T i by modelling the impact of behavioural state on the relationship between the duration of time spent in the activity and the maximum temperature recorded ( Supplementary Fig.…”
Section: Methodsmentioning
confidence: 99%
“…For example, those that wintered in the Norwegian, Barents and White Seas increased their foraging effort ahead of several weeks of polar night, potentially maximising prey intake prior to this period of intense environmental constraint 20 . Furthermore, guillemots that over-wintered on the Newfoundland Shelf increased their diurnal foraging effort in response to seasonally varying vertical distributions of prey resources 21 . Thus guillemots, as with other seasonally breeding diving birds, make good models to investigate behavioural and energetic responses to seasonally varying ecological drivers.…”
During their annual cycles, animals face a series of energetic challenges as they prioritise different life history events by engaging in temporally and potentially spatially segregated reproductive and non-breeding periods. investigating behaviour and energy use across these periods is fundamental to understanding how animals survive the changing conditions associated with annual cycles. We estimated year-round activity budgets, energy expenditure, location, colony attendance and foraging behaviour for surviving individuals from a population of common guillemots Uria aalge. Despite the potential constraints of reduced day lengths and sea surface temperatures in winter, guillemots managed their energy expenditure throughout the year. Values were high prior to and during the breeding season, driven by a combination of high thermoregulatory costs, diving activity, colony attendance and associated flight. Guillemots also exhibited partial colony attendance outside the breeding season, likely supported by local resources. Additionally, there was a mismatch in the timing of peaks in dive effort and a peak in nocturnal foraging activity, indicating that guillemots adapted their foraging behaviour to the availability of prey rather than daylight. Our study identifies adaptations in foraging behaviour and flexibility in activity budgets as mechanisms that enable guillemots to manage their energy expenditure and survive the annual cycle.
“…Despite our values of DEE being based on a number of assumptions 21 , we are confident in the patterns of guillemot behaviour and energetic expenditure that we have identified for this annual cycle. Although the pattern of DEE is different to those that have been recorded in guillemot populations breeding in Newfoundland, Canada 21 and Svalbard, Norway 20 , our estimates are within the ranges reported within these studies. For each of these high latitude guillemot populations, the winter (January -February) was an energetically challenging period.…”
Section: Discussionmentioning
confidence: 81%
“…20 th July 2005-2 nd April 2006) were created using the adehabitatHR package 56 , using a least squared cross validation method and a 50 km grid size. Core use areas during the non-breeding period were represented by 50% kernel density contours 21 . (2020) 10:5993 | https://doi.org/10.1038/s41598-020-62842-x www.nature.com/scientificreports www.nature.com/scientificreports/ Daily air temperature was extracted from either Lerwick (60° 14′N, 01°18′W), Leuchars (56° 38′N, 02°86′W), Bridlington (54° 1′N, 00°21′W) or Sandettie (51° 10′N, 01°80′W) weather stations 57 , depending on which was in closest proximity to the centroid of an individual's fortnightly GLS fix cluster.…”
Section: Methodsmentioning
confidence: 99%
“…Days which did not have temperature and depth data for the entire 24 hour period were removed (n = 9) and the remaining data (n bird days = 179) were utilised to derive daily time-activity budgets. Time-activity budgets were based on the identification of five key activities: a. diving (T d ), b. flying (T f ), c. at the colony (T c ), d. active on water (T a ) and e. inactive on water (T i ) 21,60 . Active on water (T a ) included intervals on the surface between dives and longer periods between dive bouts when activities such as swimming and preening were undertaken.…”
Section: Methodsmentioning
confidence: 99%
“…S2A). Bouts of flight (T f ) were separated from bouts of inactivity (T i ) on the assumption that guillemots do not fly at night 61,62 and logger temperature being less than daily air temperature + 4 o C, as opposed to the higher temperatures expected during leg-tucking events (T i 21,60 ). We validated this classification of T f and T i by modelling the impact of behavioural state on the relationship between the duration of time spent in the activity and the maximum temperature recorded ( Supplementary Fig.…”
Section: Methodsmentioning
confidence: 99%
“…For example, those that wintered in the Norwegian, Barents and White Seas increased their foraging effort ahead of several weeks of polar night, potentially maximising prey intake prior to this period of intense environmental constraint 20 . Furthermore, guillemots that over-wintered on the Newfoundland Shelf increased their diurnal foraging effort in response to seasonally varying vertical distributions of prey resources 21 . Thus guillemots, as with other seasonally breeding diving birds, make good models to investigate behavioural and energetic responses to seasonally varying ecological drivers.…”
During their annual cycles, animals face a series of energetic challenges as they prioritise different life history events by engaging in temporally and potentially spatially segregated reproductive and non-breeding periods. investigating behaviour and energy use across these periods is fundamental to understanding how animals survive the changing conditions associated with annual cycles. We estimated year-round activity budgets, energy expenditure, location, colony attendance and foraging behaviour for surviving individuals from a population of common guillemots Uria aalge. Despite the potential constraints of reduced day lengths and sea surface temperatures in winter, guillemots managed their energy expenditure throughout the year. Values were high prior to and during the breeding season, driven by a combination of high thermoregulatory costs, diving activity, colony attendance and associated flight. Guillemots also exhibited partial colony attendance outside the breeding season, likely supported by local resources. Additionally, there was a mismatch in the timing of peaks in dive effort and a peak in nocturnal foraging activity, indicating that guillemots adapted their foraging behaviour to the availability of prey rather than daylight. Our study identifies adaptations in foraging behaviour and flexibility in activity budgets as mechanisms that enable guillemots to manage their energy expenditure and survive the annual cycle.
Governments are under increasing pressure to reduce greenhouse gas emissions, and large-scale wind farms are being developed in marine environments worldwide. However, top predators are strongly affected by environmental change and anthropogenic activities. Common guillemots (Uria aalge, hereafter guillemots), as one of the world’s most numerous seabird species, are prone to interference with offshore wind farms (OWFs). This study assessed the cumulative impacts of all operating OWFs on guillemots in the German North Sea. These estimates were applied to quantify the possible conflicts between guillemot occurrence and current German government plans to implement large-scale OWFs. If OWFs were implemented according to the current maritime spatial plan for the German Exclusive Economic zone, they would cover 13% of the German North Sea. Guillemot numbers peak during autumn, with German North Sea offshore waters hosting approximately 90,000 individuals. Guillemot density in autumn was significantly reduced within a radius of 19.5 km around operating OWFs. Applying this disturbance distance to current installation plans, about 70% of the German North Sea would be affected, and an estimated 68% of guillemots in the German North Sea would experience habitat loss. This highlights the possible threat to guillemots in the southern North Sea if the current German government plans are implemented. The current estimates are highly relevant to decisions regarding marine spatial planning and management recommendations. Such evaluations are essential for developing sustainable scenarios including reducing the human CO2 footprint, whilst also conserving biodiversity.
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