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Assessing nest attentiveness of Common Terns via video cameras and temperature loggers

Avian Research 2020年第3期11卷 284-301页

作者： Jeffery D.Sullivan Paul R.Marbán Jennifer M.Mullinax David F.Brinker Peter C.McGowan Carl R.Callahan Diann J.Prosser Natural Systems Analysts Winter ParkFL 32789USA Marine Estuarineand Environmental Sciences ProgramUniversity of MarylandCollege ParkMD 20742USA Department of Environmental Science and Technology University of Maryland1443 Animal Sciences BldgCollege ParkMD 20742USA Department of Natural Resources Maryland Natural Heritage ProgramAnnapolisMD 21401USA Chesapeake Bay Field Office U.S.Fish and Wildlife ServiceAnnapolisMD 21401USA U.S.Geological Survey Patuxent Wildlife Research CenterLaurelMD 20708USA.

Background:While nest attentiveness plays a critical role in the reproductive success of avian species,nest attentiveness data with high temporal resolution is not available for many ***,improvements in both video monitoring and temperature logging devices present an opportunity to increase our understanding of this aspect of avian ***:To investigate nest attentiveness behaviors and evaluate these technologies,we monitored 13 nests across two Common Tern(Sterna hirundo)breeding colonies with a paired video camera-temperature logger approach,while monitoring 63 additional nests with temperature loggers *** occurred from May to August of 2017 on Poplar(Chesapeake Bay,Maryland,USA)and Skimmer Islands(Isle of Wight Bay,Maryland,USA).We examined data respective to four times of day:Morning(civil dawn‒11:59),Peak(12:00‒16:00),Cooling(16:01‒civil dusk),and Night(civil dusk‒civil dawn).Results:While successful nests had mostly short duration off-bouts and maintained consistent nest attentiveness throughout the day,failed nests had dramatic reductions in nest attentiveness during the Cooling and Night periods(ptemperatures during Night,as nests were significantly warmer during Night when birds were on versus off the nest(ptemperatures,perhaps due to adults leaving the nest during the hottest periods to perform belly ***,temperature logger data alone had limited ability to predict nest attentiveness status during shorter bouts,with results highly dependent on time of day and bout *** our methods did not affect hatching success(p>0.05),video-monitored nests did have significantly lower clutch sizes(p<0.05).Conclusions:The paired use of iButtons and video ca

关键词： Common Tern iButton Nest attentiveness Sterna hirundo temperature logger Video monitoring

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