Delayed egg‐laying and shortened incubation duration of Arctic‐breeding shorebirds coincide with climate cooling
AbstractBiological impacts of climate change are exemplified by shifts in phenology. As the timing of breeding advances, the within‐season relationships between timing of breeding and reproductive traits may change and cause long‐term changes in the population mean value of reproductive traits. We investigated long‐term changes in the timing of breeding and within‐season patterns of clutch size, egg volume, incubation duration, and daily nest survival of three shorebird species between two decades. Based on previously known within‐season patterns and assuming a warming trend, we hypothesized that the timing of clutch initiation would advance between decades and would be coupled with increases in mean clutch size, egg volume, and daily nest survival rate. We monitored 1,378 nests of western sandpipers, semipalmated sandpipers, and red‐necked phalaropes at a subarctic site during 1993–1996 and 2010–2014. Sandpipers have biparental incubation, whereas phalaropes have uniparental incubation. We found an unexpected long‐term cooling trend during the early part of the breeding season. Three species delayed clutch initiation by 5 days in the 2010s relative to the 1990s. Clutch size and daily nest survival showed strong within‐season declines in sandpipers, but not in phalaropes. Egg volume showed strong within‐season declines in one species of sandpiper, but increased in phalaropes. Despite the within‐season patterns in traits and shifts in phenology, clutch size, egg volume, and daily nest survival were similar between decades. In contrast, incubation duration did not show within‐season variation, but decreased by 2 days in sandpipers and increased by 2 days in phalaropes. Shorebirds demonstrated variable breeding phenology and incubation duration in relation to climate cooling, but little change in nonphenological components of traits. Our results indicate that the breeding phenology of shorebirds is closely associated with the temperature conditions on breeding ground, the effects of which can vary among reproductive traits and among sympatric species.
[…] We quantified a 22‐year change (1993–2014) in daily mean temperature by fitting a linear model to each day of a year, with each day's mean climatic value as the response and year as the predictor. We used the slope of this model as an index of long‐term change for each day of the year. To test whether average daily mean temperatures during the prelaying and laying windows have significantly changed between 1993–1996 and 2010–2014, we fitted linear mixed‐effects models (LMMs) to the daily mean temperature of the prelaying and laying windows separately, with decade and date as fixed effects, and year as a random effect, using the “lme” function of the R package nlme (Pinheiro, Bates, DebRoy, & Sarkar, ; R Development Core Team, ). […]
to analyse the site's operation and effectiveness, to display ads tailored to your interests
and to provide you with relevant promotional messages and other information about products,
events and services of ours or our sponsors and partner companies.
These cookies are needed for the site to work and to be optimized.
These cookies are needed to interact with the social network plugins on this site.
These cookies are used to track visitors across websites.
The intention is to display ads that are relevant and engaging for the users.
These cookies are needed in order to better understand how
this site is used and to improve the user experience.
At omicX, we believe trust is of the utmost importance. Transparency allows trust.
This is why we want you to understand what data we collect and how we use it.