Evaluation of nest temperatures to assess female nest attendance and use of video cameras to monitor incubating waterfowl

Hoover, Andrea; Rohwer, Frank C.; Richkus, Kenneth D.

doi:10.2193/0091-7648(2004)32[581:ftfeon]2.0.co;2

Cited by 15 publications

(7 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Alternatively, temperature data loggers are less expensive, less intrusive and smaller, and have been successfully utilized to monitor nest survival rates and nesting behaviours accurately (Hoover et al . , Hartman & Oring , Weidinger , Schneider & McWilliams , Moreau et al . ).…”

Section: Discussionmentioning

confidence: 99%

Accuracy of nest fate classification and predator identification from evidence at nests of Least Terns and Piping Plovers

Andes

Shaffer

Sherfy

et al. 2018

Ibis

View full text Add to dashboard Cite

For federally listed species such as Least Tern Sternula antillarum and Piping Plover Charadrius melodus, correct determination of nest fates and causes of nest failure is crucial for understanding population dynamics and improving monitoring programmes. We used video cameras to evaluate nest fate misclassification rate and to identify factors that may cause researchers monitoring nests at different intervals to classify Least Tern and Piping Plover nest fates incorrectly. During the 2013-2015 breeding seasons, we installed miniature surveillance cameras at 65 of 294 Least Tern and 89 of 551 Piping Plover nests under observation on the Missouri River in North Dakota. Nest fates were assigned in the field from remains found at the nest-site and then again by an independent researcher who reviewed camera footage. We used ordinal logistic regressions to examine whether monitoring interval, clutch age or temporal factors influenced a correct, partially misclassified (probable successful in the field vs. successful by camera) or misclassified nest fate classification. During a 7-day monitoring interval between visits, 45% of nests were partially and 27.5% were fully misclassified. The percentage of partially (20%) and fully (8.0%) misclassified nests decreased with a more intensive (3-day) monitoring schedule. Researchers were also less likely to correctly classify nest fates for Least Terns than for Piping Plovers, and as clutch age and monitoring interval increased for both species. Furthermore, causes of failure (e.g. predators, weather) as determined from field evidence vs. video disagreed for 53.5% of nests. The ability to identify accurately nest fate and cause of nest failure will facilitate a better understanding of factors that limit productivity and will lead to better informed management decisions for improving nest survival.Nest survival is a crucial demographic parameter used to understand the underlying factors that influence population size and viability over time.Additionally, in many circumstances nest survival is more straightforward to measure than most other significant traits of life history; therefore, it is often more feasible for research and management than many of the other vital rates that are important to productivity (Johnson 2007). It is no surprise that the issue of estimating nest survival has received considerable attention in the past and at present, suggesting that there are still unresolved † Present address: Bureau of Land Management,

show abstract

Section: Discussionmentioning

confidence: 99%

Accuracy of nest fate classification and predator identification from evidence at nests of Least Terns and Piping Plovers

Andes

Shaffer

Sherfy

et al. 2018

Ibis

View full text Add to dashboard Cite

show abstract

“…Nest temperature recorded over short time intervals (if using the iButton model that has larger data storage capacity), or continuously (assuming memory capacity will be further increased), could improve our knowledge of incubation temperatures for different species. For species that are known egg acceptors (Payne ), the iButton circuit, battery and storage unit could be encapsulated in egg‐shaped casings that could be painted with species‐specific color markings to assess differences between egg temperature and nest temperature (Hoover et al ). Nest attendance patterns could also be estimated precisely using temperature loggers that continuously record temperature (Baldwin and Kendeigh ), especially by coupling direct observations with iButtons set to short recording intervals (Cooper and Phillips , Schneider and McWilliams ).…”

Section: Discussionmentioning

confidence: 99%

Temperature loggers decrease costs of determining bird nest survival

Sutti

Strong

2014

Wildl. Soc. Bull.

View full text Add to dashboard Cite

We tested whether temperature loggers (iButtons 1 ) placed inside bird nests could be used to estimate the date the nest hatched or failed and compared their efficiency and cost to observational data. Temperature loggers were more precise (approx. 1 hr error vs. 1-3-days error for researcher visit) in estimating fate date for 28 nests of 15 species of birds monitored in the Champlain Valley of Vermont (USA) between May and August 2010. Our nest sample represented a wide range of nest characteristics, and considerably expanded the range of species whose nests have been monitored successfully with temperature data loggers. The use of iButtons would have reduced the number of visits to the nest by 15%, decreasing disturbance, and allowing for more time spent searching for additional nests, or for employment of a smaller field crew. Ó

show abstract

“…Further, visiting nests may influence behavior of nesting birds or predators (Bêty and Gauthier , Bolduc and Guillemette ). Nest monitoring with remote cameras has gained popularity as an approach to overcome such limitations, having been employed most frequently for predator identification (Pietz and Granfors , Anthony et al , Liebezeit and Zack ) and to quantify incubation constancy (Hoover et al , Jónsson et al ) but also for modeling nest survival probability and estimating effects of investigator disturbance (McKinnon and Bêty , Stien and Ims ). Camera monitoring improves resolution in discerning nest fate (i.e., on the scale of min rather than days), which allows for analysis of nest survival at finer temporal scales and may lead to gains in statistical inference.…”

mentioning

confidence: 99%

Effects of industrial and investigator disturbance on Arctic‐nesting geese

Meixell

Flint

2017

J Wildl Manag

View full text Add to dashboard Cite

Oil and gas development on the Arctic Coastal Plain (ACP) of Alaska, USA may have effects on Arctic‐nesting birds. To estimate effects of industrial activity and investigator disturbance on avian productivity, we monitored nests of greater white‐fronted geese (Anser albifrons) with digital cameras and periodic nest visits during 2013–2014 at 2 sites on the ACP. A disturbed site was adjacent to human‐made infrastructure and industrial clean‐up activities initiated at the onset of the study and a control site was >2 km from sources of industrial disturbance. We assessed variation in estimates of incubation constancy, nest survival, and predator behavior relative to site, year, and distance from industrial activity using nest photographs obtained at 1‐minute intervals. We compared analysis of hourly nest survival informed by intensive monitoring with cameras to analysis of daily nest survival informed by traditional nest visit data obtained at intervals of 5–7 days to assess how method and time scale of sampling affect ecological inference. Geese in both sites exhibited high levels of nest attendance and initiated incubation breaks less than once per day. Observer‐caused incubation breaks associated with nest visits (truex¯ = 37.8 min) were longer than other types of incubation breaks (truex¯ = 8.7 min), demonstrating a differential response by nesting geese to direct human encroachment versus indirect vehicular and aircraft traffic. During both years, geese were absent from nests more frequently in the disturbed (truex¯ = 0.9 breaks/day) than control (truex¯ = 0.6 breaks/day) site, and this break frequency was slightly higher for nests closer to industrial activity. In the year with high rates of depredation, nest survival was positively related to distance from industrial activity and abandoned infrastructure, consistent with predictions of industry‐caused effects. This relationship, however, was not evident in the year with reduced predation pressure, likely because of annual variation in arctic fox (Vulpes lagopus) behavior. Analysis of nest survival probability informed by camera data allowed for detection of detailed patterns of variation that were not supported when using only visit data for the same nests. Observer visits were responsible for reductions of 7–35% in nest survival probability, highlighting the importance of minimizing, and controlling for, observer effects in studies of avian productivity. Indirect vehicular and aircraft disturbance posed less risk to nest survival than direct encroachment by observers at nest sites. Therefore, effects of industrial activities on avian productivity in the Arctic can be minimized through practices that limit direct encounters with nests. Published 2017. This article is a U.S.Government work and is in the public domain in the USA.

show abstract

Evaluation of nest temperatures to assess female nest attendance and use of video cameras to monitor incubating waterfowl

Cited by 15 publications

References 13 publications

Accuracy of nest fate classification and predator identification from evidence at nests of Least Terns and Piping Plovers

Accuracy of nest fate classification and predator identification from evidence at nests of Least Terns and Piping Plovers

Temperature loggers decrease costs of determining bird nest survival

Effects of industrial and investigator disturbance on Arctic‐nesting geese

Contact Info

Product

Resources

About