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Data from: Peregrine Falcons shift mean and variance in provisioning in response to increasing brood demand

Cite this dataset

McKinnon, Rebekah et al. (2023). Data from: Peregrine Falcons shift mean and variance in provisioning in response to increasing brood demand [Dataset]. Dryad. https://doi.org/10.5061/dryad.6hdr7sr6q

Abstract

The hierarchical model of provisioning posits that parents employ a strategic, sequential use of three provisioning tactics as offspring demand increases (e.g., due to increasing brood size and age). Namely, increasing delivery rate (reducing intervals between provisioning visits), expanding provisioned diet breadth, and adopting variance-sensitive provisioning. We evaluated this model in an Arctic breeding population of Peregrine falcons (Falco peregrinus tundrius) by analyzing changes in inter-visit-intervals (IVIs) and residual variance in IVIs across 7 study years. Data was collected using motion-sensitive nest camera images and analyzed using Bayesian mixed effect models. We found strong support for a decrease in IVIs (i.e., increase in delivery rates) between provisioning visits and an increase in residual variance in IVIs with increasing nestling age, consistent with the notion that peregrines shift to variance-prone provisioning strategies with increasing nestling demand. However, support for predictions made based on the hierarchical model of tactics for coping with increased brood demand was equivocal as we did not find evidence in support of expected covariances between random effects (i.e., between IVI to an average-sized brood (intercept), change in IVI with brood demand (slope) or variance in IVI). Overall, our study provides important biological insights into how parents cope with increased brood demand.

README: Data from: Peregrine Falcons shift mean and variance in provisioning in response to increasing brood demand

https://doi.org/10.5061/dryad.6hdr7sr6q

Complete methods are outlined in the publication in Behavioral Ecology

Description of the data and file structure

Two files are provided: data file entitled 'PEFA_provisioning_data_201319.csv' and R Studio file entitled 'Available_R_code_McKinnonetal2023.R'

Descriptions of column headings and data coding in the csv file are below.

Column Name Description Data Type Values
scorer  photo observer character Anna, Kevin, Nick, Rebekah
site cliff location, same cliff location has same site ID across years character site IDs are entered as numerical values, but should be treated as character
yearsite unique combination of site and year, within a year, this is a specific pair of PEFA character entered as numerical values, but should be treated as character
chicks current brood size, if camera trap failed, brood size = NA numerical 1,2,3,4, 5 or NA
cam_model model of camera trap character HC600 HYPERFIRE, PC800 PROFESSIONAL, PC85 RAPIDFIRE PRO
motion motion detection sensitivity settings. When sensitivity was not recorded in camera metadata, motin = unknown. When camera failed, motion = NA numerical 50, 75, 100, NA, Unknown
trigger  time lapse setting, photos taken every X minutes even without a camera trigger. If camera failed, trigger = NA. If no trigger setting, trigger = no timelapse. If detail not in camera metadata, trigger = unknown. numerical 1, 3, 5, 15, NA, no timelapse, Unknown
hatch_date hatch day of first egg numerical dd/mm/yyyy
julian julian date of hatch date, days since January 1st, 1900 (calculated in Excel) numerical
julian2 day within the year of hatch date, where January 1st = day 1 numerical
date date of nest observation numerical dd/mm/yyyy
jdate julian date of "date" in days since January 1st, 1900 (calculated in Excel) numerical
jdate2 day within the year of nest observation, where January 1st = 1 numerical
start_day nest observation day numerical dd
start_month  nest observation month numerical mm
year nest observation year numerical yyyy
visit_type indicates whether provisioning visits could be scored. Yes = provisioning, No = fail (e.g., when camera failed) categorical provisioning, fail
start time of the start of the nest visit or camera failure numerical hh:mm:ss
sex sex of parent observed at nest. m = male, f = female, NA = camera failure, unknown = camera photo did not allow sex determination visually categorical m, f, NA, unknown
end_day day of the end of the nest visit or camera fail numerical dd
end_month month of the end of the nest visit or camera fail numerical mm
supplemented was the nest supplemented? y =yes, n = no. catergorical y, n

Code/Software

All analyses were completed using the R statistical environment. Complete code including required libraries and packages is provided in the R Studio file entitled ''Available_R_code_McKinnonetal2023.R'

Methods

Data was collected from nest camera images over a period of 7 consecutive breeding seasons in Rankin Inlet, Nunavut from 2013-2019. Cameras were placed within 1m of the nest scrape and data was processed post field-season. Please see McKinnon et al., (2024) for the full methodological details. 

Funding

Natural Sciences and Engineering Research Council

University of Alberta, Northern Research Award

Mitacs, Accelerate Internship

Government of Nunavut

Nunavut General Monitoring Plan