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No relationship between chronotype and timing of breeding when variation in daily activity patterns across the breeding season is taken into account

Wiley
Ecology and Evolution
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There is increasing evidence that individuals are consistent in the timing of their daily activities, and that individual variation in temporal behavior is related to the timing of reproduction. However, it remains unclear whether observed patterns relate to the timing of the onset of activity or whether an early onset of activity extends the time that is available for foraging. This may then again facilitate reproduction. Furthermore, the timing of activity onset and offset may vary across the breeding season, which may complicate studying the above-mentioned relationships. Here, we examined in a wild population of great tits (Parus major) whether an early clutch initiation date may be related to an early onset of activity and/or to longer active daylengths. We also investigated how these parameters are affected by the date of measurement. To test these hypotheses, we measured emergence and entry time from/into the nest box as proxies for activity onset and offset in females during the egg laying phase. We then determined active daylength. Both emergence time and active daylength were related to clutch initiation date. However, a more detailed analysis showed that the timing of activities with respect to sunrise and sunset varied throughout the breeding season both within and among individuals. The observed positive relationships are hence potentially statistical artifacts. After methodologically correcting for this date effect, by using data from the pre-egg laying phase, where all individuals were measured on the same days, neither of the relationships remained significant. Taking methodological pitfalls and temporal variation into account may hence be crucial for understanding the significance of chronotypes.
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Ecology and Evolution. 2022;12:e9353. 
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https://doi.org/10.1002/ece3.9353
www.ecolevol.org
Received:28February2022 
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Revised:30August2022 
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Accepted:5September2022
DOI: 10.1002/ece 3.935 3
RESEARCH ARTICLE
No relationship between chronotype and timing of breeding
when variation in daily activity patterns across the breeding
season is taken into account
Marjolein Meijdam | Wendt Müller | Bert Thys | Marcel Eens
ThisisanopenaccessarticleunderthetermsoftheCreativeCommonsAttributionLicense,whichpermitsuse,distributionandreproductioninanymedium,
provide d the original wor k is properly cited.
©2022TheAuthors.Ecolog y and EvolutionpublishedbyJohnWiley&SonsLtd.
DepartmentofBiology,Behavioural
Ecology and Ecophysiology Group,
UniversityofAntwerp,Wilrijk,Belgium
Correspondence
MarjoleinMeijdam,Departmentof
Biology,BehaviouralEcologyand
EcophysiologyGroup,Universityof
Antwerp,Universiteitsplein1,2610
Antwerp,Wilrijk,Belgium.
Email:marjolein.meijdam@uantwerpen.be
Funding information
FondsWetenschappelijkOnderzoek,
Grant/AwardNumber:G052117Nand
G0A3615N;UniversiteitAntwerpen
Abstract
Thereisincreasingevidencethatindividualsareconsistentinthetimingoftheirdaily
activities,andthatindividualvariationintemporalbehaviorisrelatedtothetimingof
reproduction. However,itremainsunclear whether observedpatternsrelatetothe
timingoftheonsetofactivityorwhetheranearlyonsetofactivityextendsthetime
thatisavailableforforaging.Thismaythenagainfacilitatereproduction.Furthermore,
thetiming of activityonset andoffsetmayvaryacrossthe breeding season, which
maycomplicatestudyingtheabove-mentionedrelationships.Here,weexaminedina
wildpopulationofgreattits(Parus major)whetheranearlyclutchinitiationdatemay
berelated to an earlyonsetofactivityand/ortolonger activedaylengths. Wealso
investigatedhowtheseparametersareaffectedbythedateofmeasurement.Totest
these hypotheses,wemeasuredemergenceand entry timefrom/intothe nestbox
asproxies foractivity onsetand offset infemalesduring theegg layingphase.We
thendeterminedactivedaylength.Bothemergencetimeandactivedaylengthwere
relatedtoclutch initiationdate. However,amoredetailedanalysisshowedthatthe
timingofactivitieswithrespecttosunriseandsunsetvariedthroughoutthebreeding
season both within andamong individuals. The observed positive relationships are
hence potentially statistical artifacts. After methodologically correcting for this
dateeffect,byusingdatafromthepre-egglayingphase,whereallindividualswere
measuredonthesamedays,neitheroftherelationshipsremainedsignificant.Taking
methodologicalpitfallsandtemporalvariationintoaccountmayhencebecrucialfor
understandingthesignificanceofchronotypes.
KEYWORDS
activedaylength,chronotype,circadianrhythm,clutchinitiationdate,emergencetime,Parus
major
TAXONOMY CLASSIFICATION
Behaviouralecology
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1 | INTRODUCTION
Circadianrhythmsoccur onadiel (24 h)time scale andareubiqui-
tousinalllivingorganisms.Theyareendogenouslyorchestratedby
the biological clock, but entrained by the light– dark cycle, so that
they match the 24 h daylength (Pittendrigh, 1993). However, the
free-runningperiodlength(τ),whichrepresentstheamountoftime
ittakestheendogenousclocktorepeatitselfintheabsenceofen-
vironmentalcues, oftendiffersslightlyfrom24 handitintriguingly
varies amongindividuals too (Helm& Visser,2010). This individual
variationinthefunctioningofthebiologicalclockbecomesvisibleat
thephenotypiclevelasconsistentamong-individualvariationinthe
timingofactivities. The earlyorlatetimingofeventsisreferredto
as“chronotype.”Ittypicallycapturesthetimingwhenanindividual
startswithitsactivityinthemorningandwhenitbecomesinactive
inthe evening. In humans, variation in the preferred timing of ac-
tivitiesis referred to as“morningness”and “eveningness” (Arrona-
Palaciosetal.,2020).Variationinthetimingofactivitypatternshave
beenfoundinavarietyofothertaxa,includingmammalsandbirds,
bothinlaboratorysettingsandfree-livingpopulations(e.g.,Labyak
et al., 1997;Lehmannetal.,2012;Refinettietal.,2016;Steinmeyer
et al., 2010).Thus, it iscommonlyaccepted that individualsconsis-
tentlydifferfromeachotherinthetimingoftheiractivitypatterns.
Understanding how this individual variation in chronotypes is
maintained in natural populations is of outermost relevance, but
knowledgeabout theevolutionand adaptive significance of chro-
notypesinnaturalecosystemsisstillscarce(Dominonietal.,2017;
Helm et al. , 2017). However, recently there is an increased inter-
est in this topic. Furthermore, while existing studies are often
laboratory-based,where testing functional consequences or even
fitnessconsequences isdifficult (Van der Veenet al.,2017), stud-
ies on chronotypes are now taken into the wild. Here, it can be
expec ted that chron otypes are u nder both sexu al and natura l se-
lection,aschronotypes mayinfluencethetimingof the expression
ofcertain traits(Hauetal.,2017).Forexample,dawnsonginmale
birds shou ld be timed pre cisely to the pre sence of (receptive) f e-
males (Hau etal.,2017), whiletiming mightalsoplay an important
roleforminimizingpredationriskandmaximizingforagingefficiency
(DeCourseyetal.,2000;Helmetal.,2017).
Still,empiricalevidenceonthefitnessconsequencesofchrono-
typesis mixed. Both male and female birds thatengaged in extra
pair copulations, which particularly occur at dawn, had earlier chro-
notypesthanotherbirds(Halfwerketal.,2011 ;Poeseletal.,2006),
butthiscouldnotbeconfirmedinalaterstudy(Schlichtetal.,2014).
Mauryetal. (2020) andSteinmeyeretal. (2013)foundthat clutch
size and number of fledglings were independent from temporal
phenot ype in female s, but Graha m et al. (2017) repor ted that fe-
maleswhichhadanearlieronsetofactivityinthemorninghadear-
lierclutch initiation dates.Thelatteriscommonly assumedtobea
fitnessmeasure,as earlier hatchedchickshave higherrecruitment
rates(e.g., Verboven&Visser,1998).This suggeststhatthetiming
ofreproductionratherthanthereproductiveinvestmentmightvary
with chronotype.
However, if early rising females have a similar timing for the
offset of a ctivity as l ate rising female s, this would leng then their
active day(i.e., thetime theyspend outsidethe nestbox) andthe
timetheycan,forexample,spendonforaging.Earlyrising,andthus
increasing active daylength, would then allow individuals to make
moreefficientlyuseofthelimitedresourcesatthebeginningofthe
breedingseason, as they wouldhave moretime available. The ac-
tive daylength can be further increased by delaying the cessation
time, ashas recently been reported for female Europeanstarlings
(Sturnus vulgaris),where individuals with an early onset of activity
had later ce ssation times t han females whic h had a late onset of
activity (Maury et al., 2020). Alsoin bluetits(Cyanistes caeruleus),
substantial variationamong individuals has beenshown for active
dayleng th, so that a dis tinction be tween long- and shor t-sleepin g
individualscouldbemade(Steinmeyeretal.,2010). This altogether
impliesthatarelationshipbetweenactivityonsetinthemorningand
clutchinitiationdatemaynotonlydependonthetimingofdailyac-
tivitybutcouldalsobetheresultofanincreaseinactivedaylength
in early rising individuals.
Furthermore,aconcernthathaspotentiallynotsufficientlybeen
takenintoaccountinpreviousstudiesonthefitnessconsequences
ofthedailytimingofactivityisthecontributionoftemporalvariation
acrossthebreedingseasonasunderlyingdriverofsuchrelationships
betweenfitnessandtimingofactivity.Emergencetime,entrytime,
and therewith active daylength, which are key parameters when
studyingindividualvariation intemporalbehavior,vary throughout
the year (Schlicht & Kemp enaers, 2020; Steinmeyer et al., 2010;
Stuberetal.,2015),evenaftercorrectingfortheseasonalchangesin
thetimingofsunriseandsunset.Thissuggeststhatthesignificance
ofsunrise andsunsetfor determining activity patternsmay differ
acrosstheyearorwithdateofmeasurementbothwithinandamong
individuals. The date of measurement may thus be a confounding
factorwhenanalyzingrelationshipsbetweentheactivity parame-
ters andfitnessestimates suchas clutchinitiation date,which are
temporalparametersinitself.
Here, we study the relationships between activity patterns
at the onset of reproduction and clutch initiation date (Graham
et al., 2017),asmeasuredbyregularnestchecksinanestboxbreed-
ingpopulationofgreattits.First,weinvestigatewhetherindividual
variatio n in activity p atterns is consiste nt (i.e., repeata ble) within
andacrossperiods(pre-egglaying and egglaying)inthebreeding
cycle.Then,weinvestigatewhetherthedailytimingofonsetofac-
tivit y in the mornin g is related to the se asonal timin g of onset of
reproduction,thatis,startofegglaying.Byconsideringbothonset
(here:emergencetimefromthenestbox)andoffset(here:nestbox
entry timein the evening) of dailyactivity,wealso investigatethe
hypothesisthatearlierrisingfemaleshavelongeractivedaylengths
(i.e., advancedonset but not advanced offset), which allowsthem
toaccumulatetherelevantresourcesearlierinthebreedingseason,
so that they can start reproduction earlier in the season. Finally, we
investig ate whether th e above describe d relationship s may be af-
fectedbyvariationinthedailytimingofactivityacrossthebreeding
season.
   
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2 | MATERIALS AND METHODS
2.1  | Population
Thisstudywascarriedoutinasuburbannestboxpopulationofgreat
tits,locatedinWilrijk(Antwerp),Belgium(51°09′46.1”N,24′13.3″ E)
duringthebreedingseason(March–June)of2020(Raapetal.,2016;
Rivera- Gutie rrez et al., 2012; Van D uyse et al., 2005). About 170
nestboxes, suitableforgreat tits,areplaced intreesat aheight of
about 2 m. A ll individua ls that had bee n captured du ring previou s
breedingseasonsorduringroostinginwinterwereequippedwitha
ringcontainingaPIT-tag(passiveintegratedtransponder;EM4102,
125KHz,EccelTechnologyLtd)andauniquecombinationofcolor
rings,enablingindividualrecognition.Thenestboxeswerechecked
every fewdaysfornestbuilding,egglaying,and incubation. In our
population, great tits can have up to two broods per year, but this
studyonlycontainsdataoffirstbreedingattempts.
2.2  | Emergence and entry times
Todetermine the timeat whichfemales leave the nest box inthe
morning(emergencetime)andenterintheevening(entrytime),we
usedSongMeters(SongMeter™SM2+;WildlifeAcoustics, Inc) and
radio-frequency identification (RFID) loggers (EM4102datalogger,
EccelTechnologyLtd).RFIDloggersconsistoftwoantennas,which
wereplacedaroundtheopeningofthenestbox,oneontheinside,the
otherontheoutside.WhenaPIT-taggedindividualpassesthrough
theantennas,theRFIDlogger registersthe uniquePIT-tagnumber
andthe timeofpassing(for more details,see Iserbyt etal., 2018).
The readersampleinterval wasset to 250 msand the sleep mode
between 10:00 p.m. and 03:00 a.m. As not all individuals in the
populationwereequippedwithPIT-tags,wealsousedSongMeters
todeterminetheemergenceandentrytimes.SongMetershavetwo
microphonestorecordsoundsbothinsideandoutsidethenestbox.
Bothmicrophonesproducesonograms.Beforetheclockchangedto
summer time,soundwasrecorded in themorningfrom 04:00 a.m.
to08:00 a.m.CETandin theeveningfrom05:30 p.m.to08:30 p.m.
CET.Afterthe clock changed to summertime, we recordedsound
from03:00 a.m.to08:00 a.m.CETinthemorningandintheevening
from 05:30 p. m. to 09:00 p.m. CE T. Morning e mergence time an d
eveningentrytimecouldbedeterminedbythesoundofthefemale's
claws on the n est box (microphon e inside) and the sound of h er
wings whe n taking off (micr ophone inside and o utside; Halfwe rk
et al., 2011).Furthermore,aspecificsoundcausedbyachangeinair
pressurecanbe heardwhen the female passesthe openingofthe
nestbox.DatarecordedbySongMeterswereanalyzedusingAvisoft
SASLabPro5.2.14(Specht,2002).
Emergenceandentrytimeswere measuredduringtheegglay-
ing phase ( i.e., after the fir st egg was laid and b efore incubation
started)andforasubsetofindividualsalsoduringthepre-egglaying
phase (i.e.,when nest building was completed andbeforethe first
egg was laid;see below).As individualsshiftthe timingofactivity
substantiallybetween thedifferentstages of breeding (Schlicht&
Kempenaers, 2020), the physiological state should not dif fer be-
tweenindividualswhenmeasuringactivitypatterns.Duringthepre-
egglayingphase,allindividualsshouldthusbemeasuredoncenest
buildingiscompleted.However,notallfemalessleepinthenestbox
duringthisphase,andmanyfemalesfinishnestbuildingonlytheday
beforeegglayingstarts.Thisdoesnotallowobtaininglargesample
sizesduringthepre-egg layingphase.During theegg layingphase
however,all femalessleep in the nest box and measuring all indi-
viduals inthe samephysiological state is relativelyeasy.As timing
ofactivityisthoughttobeconsistentweexpectedthatindividuals
withrelativelyearlytimingduringtheegglayingphasewouldalsobe
early duringthepre-egg layingphase. Weshowed thatemergence
timeisrepeatableonthelongterm(i.e.,acrossyears)infemalegreat
titsinourpopulation(Meijdametal.,2022).Therefore,wedecided
tomeasureemergenceandentrytimesmainlyduringtheegglaying
phase.
Weusedacombinationofboth SongMetersandRFID loggers.
Emergencetimesweremeasured88timeswithbothSongMeterand
RFIDlogger.Twenty-sevenpercent ofthemeasurementsbyRFID
loggersdidnotcorrespondwiththeSongMeter.Visualvalidationof
ourRFIDloggerswasperformed inpreviousyearsbothinbluetits
andgreattits.Inbluetits,inadatasetof242parentalvisits(N = 10
nests),86.8% of all entries and 43.8% of all departures were reg-
istered (Iserbytet al.,2018). In great tit s, the correlation between
feeding ratesoffemalesmeasuredwithRFID loggersand cameras
was0.78(Thysetal.,2021;note:whenfeedingchicksfemalesboth
enter and depart from the nest box so there are 2 chances to be
registered). Thus, even though the speed when passing the RFID log-
gerismuchhigherduringchickrearingwhencomparedwithleaving
theboxafter awakening,andisalsofasterinbluetits,thereisstill
achangethat the entryoremergencetime into/fromthenest box
willbemissedbyourRFIDloggers.Inalmostallinstancesinwhich
theSongMeterdatadidnotcorrespondtotheRFIDloggerdata,the
RFIDlogger showedlateremergencetimesandearlierentry times
thantheSongMeter.Therefore,SongMeterdataarelikelymoreac-
curate andit is highly likelythat theRFID loggers missed thefirst
emergen ce and last entr y from/into the nest b ox. Unfortunate ly,
we do not have data to visually validate the data collected by
SongMeters. However, determining emergence and entry times
using SongMeters is straight forward (see Figure S1) and has suc-
cessfullybeenusedinpreviouspapers(e.g.,Halfwerketal.,2011).
Forthesereasons,wedecidedtouseonlydatafromSongMeters
if both SongMeter and RFID logger data were available. If only
RFID logg er data were availa ble (nobservations = 58 on 30 fe males),
onlymeasurementsthatfellwithin the rangeof emergence times
measuredbytheSongMeterswereincludedinthedataset(127 min
beforesunriseupto63 minaftersunrise;thisresultedintheremoval
of16datapoints). For entrytimes,the error was 12%on 82 mea-
surements,sohere,weusedthesameprocedureasforemergence
times(anoverviewofthesamplesizesafterthedataremovalcrite-
rion was applied is presented in Table 1.Acomprehensiveoverview
ofthe number ofbirds sampled per day is presented in Table S1).
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Completely excluding the RFID data from the analyses did not
changetheoutcomeorinterpretation(theseresultswillnotbefur-
ther discussed).
For both Son gMeter and RFID dat a, we determined em ergence
timesrelativetosunrise(negative=befo resunrise,p osi tiv e=afte rsun-
rise)andentrytimesrelativetosunset(negative=beforesunset,pos-
itive =aftersunset).Wealsodeterminedtherelativeactivedaylength
(negative = shorter active period than the period between sunrise
and sunset, positive = longer active period than the period between
sunriseandsunset).Hereafter,emergencetime,entrytime,andactive
daylengthalways concernrelative times,unlessit is specificallymade
clearthattheyconcernabsolutetimes.Temperaturedat awasret rieved
via: h t t p s : / / w w w . w u n d e r g r o u n d . c o m / h i s t o r y / d a i l y / b e / a n t w e r p .
Inmodelscontainingemergencetime,weusedthetemperature
(T°)atsunrise,andinmodelscontainingentrytime, we usedT°at
sunset,andinmodelscont ainingactivedaylength,weusedthemax-
imumdailyT°onthedayofmeasurement.
2.3  | Statistical analysis
AllstatisticalanalysiswereperformedinR4.0.2(RCoreTeam,2013).
We used the “rptR” package (Stoffel et al., 2017) to calculate
repeatabilities, which uses parametric bootstrapping to quantify
confidence intervals, and likelihood ratio testing to determine
statistical significance. Statistic al significance of fixed effects for
each linear mixed model was obtained with stepwise backwards
eliminationusinglmerTest(Kuznetsovaetal.,2017). For all statistical
tests,thesignificancelevelwassetatα = 0.05.
Totestifanindividual'saverageentrytimedependedonitsav-
erageemergencetime,bothmeasuredduringtheegglayingphase,a
linearmodelwasused.Second,weusedtwoseparatelinearmodels
totestwhetherclutchinitiationdatedependedon theindividual's
averageemergencetimeoritsaverageactivedaylength.Clutchini-
tiationdatesrangedfromMarch22uptoApril20(=30 days).Inboth
models,femaleage(years)wasincludedasfixedeffect.
Althoughweusedrelativevaluesfor emergenceand entry time
to account fo r changes in the onset of d awn and dusk across t he
breedingseason,avisual inspectionof the datarevealedthat there
could still be temporal variation in both parameters. To explore
thesepatterns, wemodeledvariationinactivityparametersinrela-
tion to thedateof measurement,using random regressionanalyses
(Dingemanseetal.,2010 ;Nusseyetal.,2007).Threeidenticalmodels
wererunforemergencetime,entrytime,andactivedaylength.The
models includedthe average date (starting asacount from April 1)
onwhichanindividualwasmeasured(=among-individualeffect),the
deviationfromtheaveragedate(=within-individualeffect;VandePol
& Wright, 2009),theirinteraction and age ofthe femaleasfixedef-
fects.Theamong-individualeffectallowstotestwhetherfemales,on
average(population-level),differinactivitypatternswhenobserved
ondifferentdates.Thewithin-individualeffectallowstotestwhether
females , on the populatio n level, plastic ally adjust thei r activity as
the date progresses. The interaction allows to test whether plasticity
depend s on mean date of testi ng. As temper ature is known to af-
fect theactivity patterns ingreat tits(Lehmann et al.,2012;Stuber
et al., 2015), we also included the temperatureas describedabove.
Randomintercepts(=chronotype;i.e.,doindividualsdifferfromeach
otherinaverage activitypatterns?)wereincluded forfemaleIDand
random slopes on the level of the deviation from the average date
(=individual plasticity in activity patterns in response to date; i.e., do
individualsdifferfromeachotherinplasticity?)wereincludedforfe-
male ID as wel l. Stepwise back wards eliminat ion of non-s ignificant
termswasperformedtoobtaintheminimumadequatemodel(MAM).
Likelihoodratiotestswereusedtodeterminesignificanceofrandom
effects (i.e., individualinterceptand slope). Adjusted repeatabilities
foremergencetime,entrytime,andactivedaylengthduringtheegg
laying phase were calculated from these MAMs as the variance ex-
plainedbyfemaleIDrelativetothetotalvariance.
As we suspected that the var iation in emergence t ime, entry
time, and a ctive dayleng th across the bree ding season may have
confounded the relationships between clutch initiation date and
emergence time/active daylength, we decided to use additional
datathatwehadcollected duringthepre-egglayingphase.During
thisphase,weplacedSongMeterson25nestboxeswithneststhat
were compl eted, but with no e ggs yet. For the se 25 females, we
measuredemergenceandentrytimesbetweenMarch26andMarch
30.Temporalvariationwasthusverylimited.Weusedlinearmixed
models to test whether emergence time, entry time, and active
daylengthwere affected by thedateofmeasurement,thenumber
ofdayspriortoclutchinitiation,thetemperature,andthefemale's
TAB LE 1  Samplesizesofemergencetime,entrytimeandactivedaylengthduringthepre-egglayingphaseandtheegglayingphase.
Phase Variable
Number of
females
Number of measurements
Mean per female
Repeats per female
1 2 34 5 6 7
Pre-egglaying Emergencetime 23 2.96 122 0
Entrytime 24 3.04 317 4
Activedaylength 22 2.95 121 0
Egg laying Emergencetime 121 3.84 1 5 49 27 36 2 1
Entrytime 116 3.54 323 30 35 19 5 1
Activedaylength 114 2.98 245 26 36 41 0
   
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MEIJDAM et al.
age(inyearssincebirth,withage=0isyearofbirth;fortheresults,
see Figure S2 and Table S2).Inallmo del s,r and ominterc ept swe rein-
cludedforfemaleidentity(ID).Afterexcludingnon-significantfixed
effects,wecalculatedtheadjustedrepeatability.
Weperformed similar analyses as before to determine the re-
lationships between emergence time/active daylength measured
during the pre-egg laying phase and clutch initiation date. Here,
clutchi n i t ia t io nd a t e s r a n g e d f r o mM a r c h 2 9 u p t oA p r i l 1 5(=18 days).
Additionally, using a separate model on the subset of females
measuredduringboth the pre-egg laying and the egglayingphase,
weestimated the between-periodrepeatabilityofemergence time,
entry time,and activedaylength (nemergencetime = 23, nentry time =24,
nactive daylength =21).We inclu d edthe repro d uctivephas easa t wo-le vel
factor(i.e.,pre-egglayingvs.egglaying)andthemeasurementinter-
val(i.e.,thenumberofdaysbetweentheaveragemeasurementdate
duringthepre-egglayingphaseandtheegglayingphase;mean= 8.3,
min.=3,max=18.5)asacontinuouscovariate.Non-significantfixed
effects were removed from the models. Both female ID and the
uniquecombinationofperiodandfemaleIDwereincludedasr andom
effects,therebyspecificallyallowingtoestimatethebetween-period
repeatability,followingAraya-Ajoyetal.(2015).Thatis,theadjusted
between-period repeatability wascalculatedfrom thismodel as the
varianceexplainedbytheindividualrelativetothetotalvariance.
2.4  | Ethical note
ThisstudywasapprovedbytheethicalcommitteeoftheUniversity
of Antwerp (ID numbers: 2016–87 and 2018–50) and was
performed inaccordance withBelgian and Flemish laws regarding
animal wel fare, adhered to th e ASAB/ABS guidelines f or the use
ofanimalsin behavioralresearch and teaching, and complies with
ARRIVE guidelines.TheRoyalBelgian Institute ofNaturalSciences
(KBIN) provided ringing licenses for all authors and technicians.
Handlingtimewasminimizedasmuchaspossible.Allothermethods
describedabovearenon-invasive.
3 | RESULTS
Duringthepre-egglayingphase,emergencetimesrangedbetween
76 minbeforesunriseand21 minaftersunrise(Table 2).Entrytimes
rangedfrom63 minutesbeforesunsetupto10minutesaftersunset
andactivedaylengthsfrom56 minshorterthanthedaylightperiod
upto 46 minlonger.Duringtheegg layingphase,emergencetimes
ranged from 127 min before sunrise up to 63 min after sunrise.
Entrytimesrangedbetween136 minbeforesunsetand13 minafter
sunset. T he shortest ac tive daylength we measure d was 153 min
shorter than the daylight period and the longest active day was
35 minlongerthanthedaylightperiod.
3.1  | Repeatability of daily activity patterns
Bothduringthepre-egglayingphaseandtheegglayingphase,the
adjusted repeatability was significant for emergence time, entry
time, and a ctive dayleng th (Table 3). In contrast,between-period
repeatabilitiesforemergencetime(R[95%CI]=0.09[0 ,0. 3 0]),entr y
time(R =0.20 [0,0.42]),andactive daylengthwerenotsignificant
(R =0[0,0]).
3.2  | Clutch initiation date and daily activity
patterns during the egg laying phase
Femaleswithanearlieremergencetimeduringtheegglayingphase
endedtheiractivitiesoutsidethenestboxlaterduringthedaythan
females thatshowedalater onsetofactivity (t =−2.62, df= 112,
p< .01). Emergen ce time was posit ively related t o clutch initiat ion
date(t =3.85,df= 118, p< .001;Figure 1a). Individuals that started
their activityearlyduring theday laid their first eggearlierduring
thebreedingseasonthanindividuals withlateemergence times.In
addition, active dayleng th was negatively related to clutch initiation
date(t =−6.96,df= 111, p< .001;Figure 1b). Individuals that were
longer ac tive during th e day laid their fir st egg earlie r during the
breedingseasonthanindividualsthatwereactiveforashortertime
period.
3.3  | The influence of date on daily
activity patterns
Datehadanimportantinfluenceonemergencetime,entrytime,and
active daylength(Figure 2; Table 4). Early in the season individuals
emergedclosetosunrise(=0),whilelaterintheseasonemergence
times becamelater (=positive values; Figure 2a). Thus, date had a
Phase Variable Min. Max. Mean SD
Pre-egglaying Emergencetime −76 21 −17. 51 13.64
Entrytime −63 10 −23. 07 17. 2 5
Activedaylength −56 46 −6.25 21.92
Egg laying Emergencetime −127 63 5. 81 17. 5 9
Entrytime −136 13 39.18 24.67
Activedaylength −153 35 −45.35 32 .51
TAB LE 2  Summaryofthemeasured
valuesforemergencetime,entrytimeand
activedaylength(inminutesrelativeto
sunrise, sunset and the period between
sunrise and sunset respectively) during
thepre-egglayingandegglayingphase.
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positiveeffectonemergencetimes(Averagedateeffectisgivenin
Table 4). This ef fect was par tly driven by an a mong-indi vidual ef-
fect, but at the same time, emergence time became later oncon-
secutive days within individuals (Date deviation effect in MAM:
t =3.23,df=296.72,p< .01;Figure 2a).Furthermore,olderfemales
hadearlieremergence times (Table 4).Temperature at sunrise did
not affec t emergence t imes. On average , entry time b ecame ear-
lierasthedateprogressed(Figure 2b) and active daylength shor ter
(Figure 2c; Table 4).Withinindividuals, theseeffectsonentrytime
andactivedaylengthbecameinbothcasesstrongertowardtheend
ofthe breeding season, as indicated by thesignificant interaction
betweenaveragedateanddatedeviation(Table 4).Agedidnothave
aneffectoneitherentrytimeoractivedaylength.Activedaylength
waslongeronwarmerdays(Table 4),buttemperatureatsunsetdid
notaffectentrytime.
3.4  | Clutch initiation date and activity patterns
during the pre- egg laying phase
During t he pre-egg l aying phase entr y times were not relate d to
emergencetimes(asubsetoffemales, n = 23, t = 0.44,df= 22,
p = .66). Furthermore, during the pre-egg laying phase, neither
emergencetime(t =−0.25,df= 3,18, p = .81), nor active daylength
(t =1.58,df= 2 ,19, p = .13) were related to clutch initiation date.
4 | DISCUSSION
Ourinitialanalysissupportedthepreviouslyreportedfindingthatfe-
malegreattitswithanearlyonsetofactivitystarttoreproduceearlier
inthe season (Graham et al.,2017 ). Thedata equallysupported our
hypothesis that the relationship between clutch initiation date and
emergencetimeisdrivenbyac tivedayleng th,thatis,thetimeafemale
hasavailableforforaging.However,whentakingthedateeffectonthe
activitymeasuresinto account,byusingdatafromthepre-egglaying
phase(whereallindividualsweremeasuredonthesamedays),neither
oftheserelationshipsremainedsignificant.Theconsequencesthereof
forthisandpreviousstudieswillbediscussedbelow.
4.1  | Repeatability
During the egg laying phase, repeatability of all activity measures
was high, w hich suggest s the existence of c hronotype s in female
great tits (Lehmann et al., 2012; Maury et al., 2020; Schlicht &
TABLE 3 Adjustedrepeatabilityforemergencetime,entrytime,
andactivedaylength(inminutesrelativetosunrise,sunset,andthe
periodbetweensunriseandsunsetrespectively)duringthepre-egg
laying and egg laying phase.
Phase Variable
Adjusted
repeatability
Pre-egglaying Emergencetime 0.39 [0.10, 0.62]
Entrytime 0.27 [0.018, 0. 52]
Activedaylength 0.45 [0.17, 0.67]
Egg laying Emergencetime 0.54 [0.43, 0.63]
Entrytime 0.77 [0.71, 0.83]
Activedaylength 0.71 [0.63, 0.80]
Note:AllrepeatabilitieswerecalculatedbasedontheMAMforthe
respectiveperiodandvariable(forinformationonsignificantfixed
effectsseeTableS2 and Tabl e 4).95%confidenceinter valsareshown
betweenbrackets.Estimatesinboldarestatisticallysignificant(p < .05).
FIGURE 1 Averageemergencetimesinminutesrelativeto
sunrise(negativevalue=beforesunrise)(a)andaverageactive
daylengthinminutesrelativetotheperiodbetweensunriseand
sunset(negativevalue= shorter active than the period between
sunriseandsunset)(b)asmeasuredduringtheegglayingphase
bothaffectedtheclutchinitiationdate(startsasacountfromApril
1(= 1)).
   
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Kempenaers,2020). Also during thepre-egg laying phase, activity
measure s were moderately a nd significant ly repeatable . Contrary
to our expectation, the between-period repeatability (i.e., across
thepre-egg layingand egglaying phase)ofemergencetime, entry
time,andactivedaylengthwas non-significant.Whenstudyingthe
relationship between daily timing of activity and clutch initiation
date,the timingofactivity should thuspreferentially bemeasured
beforeegglayingstart s.However,inourinitialanalyse sa ndinprevi-
ousstudiesonthisrelationship,thetimingofactivitywasmeasured
during lat er periods (He re: egg laying ph ase, Graham e t al., 2017:
incubation, Maury et al., 2020:incubation,Helm&Visser,2010: au-
tumn).Thelackofrepeatability betweenthedifferentperiodsmay
be due to the smallsample sizesduring the pre-egg laying phase.
Especiallyforlongertermrepeatabilitysmallsamplesizescancause
greatimprecisionintheestimateforamong-individualvariationand
lowpowertodetectsignificance,whichaffectstherepeatabilityes-
timate (Araya-Ajoy et al.,2015).Therefore, it willbe of interest to
investigatelong-term(i.e.,cross-seasonandcross-year)repeatability
ofactivitypatternsinmoredetailandwithlargersamplesizesinthe
future.
4.2  | Emergence times versus active daylength
Initially,usingthedatafromtheegglayingphase,wefoundaposi-
tiverelationshipbetweenemergencetimeandclutchinitiationdate,
whichisinaccordancewithresultsofarecentstudyongreattitsand
dark eyed ju nco's (Junco hyemalis,Gr aham et al., 2017). However,
this relationship had not been found in captive great tits (Helm &
Visser,2010), infree-living European starlings(Mauryetal., 2020)
andinfree-livingbluetits(awakeningtimewasused,whichishighly
correlatedwithemergencetime,Steinmeyeretal.,2013). One pos-
sibleexplanation forthediscrepancy between these studies might
bethatenvironmentalfactorsthatcouldaffecttherelationshipmay
varyfromyeartoyear.Forexample,springtemperaturemaymodu-
latetheeffectoflightastriggerfortheonsetofbreeding(Dominoni
et al., 2020). Studying the relationship between chronotype and
clutchinitiationdateinmultipleyearsmayrevealtheimpactofsuch
environm ental variat ion. As we hypot hesized above, a nother pos-
sibilitycouldbethatactivedaylengthratherthanemergencetime
playsaroleindeterminingonsetofegglaying.Ourinitialanalyses
indeed show that individuals with longer active dayleng ths initiated
egg laying earlier in the season and that individuals that emerged
earlier fromthenest box entereditlatercomparedwithlate rising
individuals(Mauryetal., 2020,Steinmeyeretal.,2010,but Stuber
et al., 2015onlyshowedthiseffectwithinindividuals).
However,emergencetime,entrytime,andactivedaylengthwere
measuredduringegglaying,andasa consequence,theyweremea-
sured soon after clutch initiation (i.e., most often, measurements
FIGURE 2 Activitypatternsinfemalegreattitsaredependent
onthedate:(a)emergencetimesrelativetosunrise,(b)entrytimes
relativetosunset,and(c)activedaylengthinminutesrelativetothe
periodbetweensunriseandsunset.Allindividualshaveseparate
regressionlines(individualscanbedistinguishedbycolor).Date
startsasacountfromApril1(= 1).
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started1or 2 days afterclutchinitiation).Thedateof measurement
was thus very tightly linked to the laying date of the first egg and
differencesinactivitypatternsbetweenearlyandlatelayingfemales
couldpossiblybeexplainedbyenvironmentalchangesovertime(e.g.,
temper ature, food avail ability, predatio n risk, and light in tensity at
thenestboxduetoan increaseinleafcoverage)insteadofintrinsic
differencesinchronotypes.Therefore,weexpectedthatthedateof
measurementmaybeaconfoundingfactorwhenanalyzingtherela-
tionshipsbetweentheactivityparametersandclutchinitiationdate.
Totacklethisproblem,andbec ausewedidnotf indrepeatabil-
ity in the daily timing of activity between the differentperiods,
we perfo rmed additi onal analyses t hat suppor ted our presump -
tionthatthedateofmeasurementisa confoundingfactorinthe
relationship between activity patterns and clutch initiation date.
First,wetriedtostatisticallycorrectfordateofmeasurementby
using individual intercepts and slopes. However, it is not possible
todisentanglethedateofmeasurementfromclutchinitiationdate
with thismethod. Instead, weused emergencetimesand active
TAB LE 4  Resultsfromlinearmixedeffectsmodelswithrandominterceptsandslopesfortestingtheinfluenceofdateonemergence
time,entrytimeandactivedaylength(inminutesrelativetosunrise,sunsetandtheperiodbetweensunriseandsunsetrespectively)during
the egg laying phase.
Dependent variable Fixed effects βSE tdf p
Emergencetime Averagedate 0. 61 0.21 2 .94 106 .72 <.01
Date deviation 1.25 1.31 0.95 80.28 .34
Age −2 .98 1.29 −2 .31 92. 37 .02
Tsunrise −0.31 0.25 −1. 2 5 350.26 .21
Averagedate × date
deviation
0.11 0.1 2 0.95 76.49 .56
Randomeffects σ2χ2df p
IDintercept 118.07 119.34 1<.001
IDslope 14.33 3.79 2.15
Corrintercepts-slop es −0.03
Residual 93.14
Entrytime Fixedeffects βSE tdf p
Averagedate −1 . 96 0. 27 −7.19 9 9.32 <.0 01
Date deviation 0.66 2.45 0.27 111.0 4 .79
Age −1.7 9 1.62 −1. 11 8 7.96 .27
Tsunset 0.14 0.17 0. 81 293.66 .42
Averagedate × date
deviation
−0.94 0.21 −4.48 9 9. 28 <.001
Randomeffects σ2χ2df p
IDintercept 212. 57 114. 89 1<.0 01
IDslope 83.25 50.76 2<.001
Corrintercepts-slop es 0.32
Residual 87. 2 3
Activedaylength Fixedeffects βSE tdf p
Averagedate −2 . 71 0.34 −7. 9 4 105.84 <.001
Date deviation −0.54 3.07 0.18 75.59 .86
Age 0.34 2.11 0.16 87.68 .87
Tmax 0.76 0. 26 2.91 262 .75 <.01
Averagedate × date
deviation
−1. 0 5 0.27 −3 .87 7 3. 51 <.001
Randomeffects σ2χ2df p
IDintercept 30 4 .74 92.30 1<.0 01
IDslope 83.97 6.83 2.03
Corrintercepts-slop es 0.01
Residual 184.06
Note:Estimatesinboldarestatisticallysignificant(p < .05).
   
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daylengthsfrom asubsetof females, thatweremeasuredduring
the pre-egg laying phase. All females were measured multiple
timeswithinarangeof5 days(i.e.,thedateof measurement was
independent fromthe clutchinitiation date). We foundthat nei-
theremergencetimenor active daylengthmeasuredduringthe
pre-egglayingphasewererelatedtothe initiationofegglaying.
Thus, as emergence times and active daylengths were not re-
lated to clut ch initiation date wh en methodologi cally correct ed
forthedate of measurement,weconsideritmost likelythatthe
relationships we initially found are confounded by the date of
measurement.
4.3  | Variation in emergence time and active
daylength across the breeding season
Thedateonwhichanindividualwasmeasuredaffecteditsemergence
time,entrytime,andactivedaylengthrelativetosunriseandsunset,
thatis,evenaftercorrectingforchangesinsunriseandsunsetover
time.Emergencetimedelayedwithdate,whileentrytimeadvanced.
Asimilareffectwasrecentlyreportedinindividualblue titsduring
theegglayingphase,butdateeffectsonthe populationlevelwere
notinvestigated(Schlicht&Kempenaers,2020).
As circ adian clocks ar e entrained by t he light–dark cycl e (e.g.,
Berson etal., 2002; Wright Jr et al., 2013; Zeng et al., 1996), light
intensityislikelyaveryimportantdeterminantforactivitypatterns
inthewild(seealsoSockman&Hurlbert,2020foradiscussionon
the role of ac tive daylengt h on migratory beh avior). In great tits
andbluetits,lightintensityatthenestbox significantlyinfluenced
emergencetimeand awakeningtime in the morning,respectively
(Steinmeyeretal.,2010;Stuberetal.,2015). However, the variation
that we observed in emergenceand entry time relative to sunrise
andsunsetovertime bothwithinand amongindividuals, indicates
thatthelightintensitiesthattriggeremergencefromandentryinto
thenestboxchangeovertime.
At present , we can only specu late about the unde rlying driv-
ers. During winter, whenthe days are short, individuals may have
to make use of the f ull daylight pe riod, while in s pring, when t he
daysaremuchlonger,theymaynotneedthefulldaylightperiodto
performallnecessary tasks.Conversely,greattits may alsoneeda
minimalamountofsleep.Therefore,emergencetimesmaydelayrel-
ativetosunrisewhenthedayslengthenwhileentrytimesadvance.
However,duringthebreedingseason,wewouldthenexpecttheab-
solute activedaylength toremainconstantfromacertainmoment
onwards,butinfact,itstartedtodecreasewhilethedaylightperiod
was still lengthening.
Inadditiontolightintensityalternativezeitgebers(i.e.,environ-
mental factors that canentrain the biological clock)and masking
factors(i.e.factorsthatdo notchange the internalclocktime, but
instead modifythe expressionofbehavioral rhythms) maybe im-
port ant (Helm et al., 2017). Fo r example, earl ier studies showe d
thatwildgreattitsdelayedentrytimesonwarmerevenings(Stuber
et al., 2015), while captive great tits had later activity onset and
earlier activityoffsetinwarmerconditions(Lehmann etal.,2012).
Wefound that an increase in maximum temperature was related
tolongeractive daylengths, although temperature at sunrise and
sunset didnot significantlyinfluence emergence andentrytimes.
Temperature may thus modulate the activity patterns, but it
could not fully explain the changes over time as observed in our
population.
Another environmental factor that could affect emergence
and entry timeisthe food availability(Hau & Gwinner,1997, Rani
et al., 2009,Vivanco et al.,2010). When food is not continuously
available,butonlyduringspecific timeframes,thiscanentrainthe
biologicalclock and individualsmayshift theircircadian phase, to
meettherequirementsofoptimalforaging.Alternatively,foodavail-
abilit y may have acted as a mas king factor. For exa mple, on days
withhighfoodavailabilitygreattitsmayneedlesstimeforforaging
inorder to meet their energyrequirements,whichenables earlier
cessatio n of activity in t he evening (Bach et al. , 2017, Northeas t
et al., 2020, but see Inoue et al., 2016). However, as we do not have
data on food availability, the influence of environmental factors
like foodavailability on emergence and entry times needs further
investigation.
Furthermore,theamountoftimespentonnighttimeincubation
mayhave affected activity patterns during egg laying. During this
phase,femalesalreadystartincubatingtheeggsatnight.Witheach
subsequentegg,theamountoftimespentonnighttimeincubation
increas es (Lord et al., 2011; Pod las & Richner, 2013) an d females
withlateegglayingdatesincubatelongeratnightthanfemaleswith
early laying dates (Haftorn, 1981). Night time incubation normally
starts immediatelyafterenteringthe nest box, but whether entry
timesadvancewhennighttimeincubationincreasesisyetunknown.
Yet,noneoftheabove-mentionedfactorsseemstofullyexplainthe
observedtemporalpatternsinemergenceandentrytimes.
Aspointedoutabove,thesignifi canceofsunriseandsunsetfor
determiningactivity patterns changes overtimebothwithinand
amongindividuals. This isrelevantfor interpreting this andpre-
vious studies, even though most of the previous studies did not
finddateeffectsonemergencetimesduringthebreedingseason
(Graham e t al., 2017; Maury et al., 2020; Woma ck, 2020). This
discrepa ncy may be caus ed by our much larg er sample size and
alarger rangeofdates on which we measured emergence times.
Therefore,itispossiblethatalthoughGrahametal.(2017) did not
find date ef fects on em ergence times , their results m ay still be
confoundedbydate.Theymeasuredemergencetimesduringthe
incubation period, which isslightly differentfrom our approach.
However,ifemergencetimeismeasuredatafixedtimeafterclutch
completion,itcouldstillbepossiblethatdateinflatestherelation-
ship between clutch initiation date and emergencetime. In fact,
Steinmeyeretal.(2013),whorecordedsleepbehaviorduringmul-
tiplemonthsinwinterinmultipleyears,foundthatsleepparame-
ters(including awakeningtime)variedgreatlybetweenrecording
datesandthereforethey corrected awakeningtimes for thedate
ofmeasurement. Thecorrected awakeningtimes then again did
notaffectclutchinitiationdates.
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5 | CONCLUSIONS
We showed that both emergence time and active daylength
(measured during the egg laying phase) were related to clutch
initiation date, but both relationships were confounded by date
of measurement, as the timing of measuring activity patterns
was tightly coupled to the initiation of egg laying. When using
methodologically corrected data from the pre-egg laying phase,
wedidnotfindasignificantrelationshipbetweentimingofactivity
and clutch initiation date. Furthermore, our results showed that
the relevance of sunrise and sunset for the timing of activities
varies throughout the breeding season, possibly in response to
environmentalfactors,suchastemperatureorfoodavailability.This
makesitmethodologicallyextremelychallengingtocorrectfordate
ofmeasurementeffects.Futurestudiesonfunctionalconsequences
ofactivitypatternsshouldhenceaimtovarythetimespanbetween
thedependent(here:layingdate)andindependent(here:timingof
activity)variable,forexample,bymeasuring activitypatternsof all
individ uals on the same day (s),w hile being in the sa me breeding
phase. Such confounding factors are possibly very common
in statistical analyses including date. In addition, if individuals
respondplasticallytotemporalchangesintheenvironment,spatial
differencesintheenvironmentmayalsoaffectactivitypatternsand
could be partially responsible for differences in emergence times,
entry times,andactivedaylengthsamong individuals,whichasyet
needs to be investigated.
AUTHOR CONTRIBUTIONS
Marjolein Meijdam: Conceptualization (equal); formal analysis
(equal);investigation(equal);methodology(equal);writing–original
draft(equal).Wendt Müller:Conceptualization(equal);methodology
(equal); writing – review and editing (equal). Bert Thys: Formal
analysis (equal); writing– review andediting (equal). Marcel Eens:
Conceptualization (equal); methodology (equal); writing – review
andediting(equal).
ACKNOWLEDGMENTS
We thank Peter S cheys and Geer t Eens for their f ield assist ance.
This workwas supported by theUniversity ofAntwerp andFWO
Flanders(FWOprojects ID: G0A3615NandG052117NtoMEand
RiannePinxten).Wethankbothfortheirsupport.
CONFLICT OF INTEREST
Theauthorsdeclarenoconflictofinterest.
DATA AVAIL AB I LI T Y STATE MEN T
All data that support the findings of this study are available via
Dryad(https://doi.org/10.5061/dryad.2rbnzs7rk).
ORCID
Marjolein Meijdam https://orcid.org/0000-0002-4034-2035
Wendt Müller https://orcid.org/0000-0001-7273-4095
Marcel Eens https://orcid.org/0000-0001-7538-3542
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SUPPORTING INFORMATION
Additional supporting information can be found online in the
SupportingInformationsectionattheendofthisarticle.
How to cite this article: Meijdam,M.,Müller,W.,Thys,B.,&
Eens,M.(2022).Norelationshipbetweenchronotypeand
timingofbreedingwhenvariationindailyactivitypatterns
across the breeding season is taken into account. Ecology and
Evolution, 12, e9353. https://doi.org/10.1002/ece3.9353
... Consistent among-individual differences in the timing of activity have also been reported [11]. In songbirds, individuals can generally be divided into either more active or less active types; individuals that start activity earlier in the day tend to remain active later [8,12,13]. Differences in activity types have been related to sex and age [1,3,4,8,14], body mass [15][16][17] and metabolic rate [15,18]. ...
... We show that chickadees can be categorized into more active and less active individuals, similar to chronotypes found in other passerines [8,12,13]. Our results also show that extending the foraging window, via earlier first feed relative to sunrise and/or later last feed relative to sunset, is associated with increased food intake from feeders both within-and among-individuals. ...
Article
Full-text available
The timing and amount of foraging in birds are shaped by many of the same extrinsic factors, including temperature and daylength, as well as intrinsic factors, such as sex and age. Here, we investigate co-variation between these traits. We observed a population of 143 individually marked black-capped chickadees (Poecile atricapillus) over a 90 day period during the winter. For each day, we recorded the time an individual began and ended feeder use relative to sunrise/sunset, and the total number of feeder visits. Within-individuals, both earlier first feeder visit and later last feeder visit were associated with higher total daily feeder visits but lower feeding rates. Individuals also differed consistently in the timing of first and last feeder visits, and individuals that consistently started feeder use earlier in the day ended feeder use later and had higher total daily feeder visits compared with those that started later, but had no difference in feeding rate. Our study demonstrates that variation in the timing of foraging can have important consequences for energy acquisition at both the within- and among-individual levels.
... In this study, we leveraged data from wild birds to (1) disentangle factors that contribute to explaining variation in clock and relative chronotypes, and (2) document links between chronotype and reproductive success. We examined a well-studied songbird whose chronotype has been shown to be repeatable, the great tit, Parus major (Graham et al., 2017;Meijdam et al., 2022;Stuber et al., 2015). We inferred the female's chronotype by measuring behaviour during incubation, a critically important postzygotic stage of avian reproduction, while monitoring reproductive success (Capilla-Lasheras, 2018;Graham et al., 2017;Gwinner et al., 2018;Maury et al., 2020). ...
... Our study is among the few that have identified fitness correlates of (relative) chronotype in female animals. We first showed high repeatability of timing, and thus corroborated evidence of chronotype as a consistent individual trait in birds, including in our study species (Graham et al., 2017;Meijdam et al., 2022;Stuber et al., 2015). We then showed that the relative chronotype of female great tits, measured during the incubation period, predicted reproductive success, such that early rising females raised more offspring to fledging than late (relative) Model coefficients ('Estimate') for clock time onset of activity (given in min after 0000 hours) are shown along with standard errors and 95% confidence intervals (95% CI). ...
... Morning emergence time from the nest box and evening entry time could be determined by the sound of the bird's claws on the nest box (microphone inside) and the sound of its wings when taking off (microphone inside and outside). Furthermore, a specific sound caused by a change in air pressure could be heard when the bird passed through the opening of the nest box (Halfwerk et al., 2011;Meijdam et al., 2022a;Meijdam et al., 2022b). The SongMeters were programmed to record between 06:30 and 09:30 AM and between 04:00 and 06:30 PM. ...
... However, we did not find any relationship between the effect of ALAN-exposure on cognitive performance and the natural sleep behaviour in great tits, as we derived from recent studies in humans showing that the reduction of inhibitory control after sleep was related to an individual's habitual sleep rhythm and/or chronotypes (Barclay and Myachykov, 2017;Demos et al., 2016;Song et al., 2019). Since, unlike humans, great tits are tied to the daylight period for their activity (Meijdam et al., 2022b), there may be smaller variation in sleep duration and chronotype compared to humans. The among individual differences could be too small to detect in the effect of ALAN-exposure on cognitive performance. ...
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Anthropogenic stressors, such as artificial light at night (ALAN), increasingly affect the sleep behaviour and physiology of wild birds, particularly in areas where human activity is prevalent. To understand the consequences of the resulting sleep deprivation, it is essential to investigate whether the effects of sleep deprivation on cognitive performance, observed in humans, also occur in birds. Here, we studied the impact of sleep deprivation, induced by intermittent exposure to ALAN, on inhibitory control, vigilance behaviour, and exploratory behaviour in great tits. Furthermore, we hypothesised that the effect of ALAN could depend on an individual's natural sleep duration and the timing of sleep. To achieve these goals, we measured emergence and entry times from/into the nest box in the wild, before capturing the great tits. In captivity, half of the birds were exposed to intermittent ALAN, and cognitive performance was assessed the following morning for all birds. ALAN-exposed birds were less successful on the detour reach task and when they started pecking at the test tube, they pecked more often. However, neither of the effects was related to the natural sleep duration or timing, in contrast to our hypothesis, and there were no differences between the ALAN-exposed and non-exposed group in vigilance and exploratory behaviour. Thus, even one night of exposure to ALAN can negatively affect cognitive performance in wild birds, possibly with negative effects on their performance and survival.
... During the breeding season, only females sleep inside the nestbox. Female emergence times from the nestbox were measured as a proxy for activity onset (see Meijdam, Müller, Thys, & Eens, 2022) during the egg-laying period of the breeding season, since both aggression and emergence time could simultaneously be measured during this period. Emergence times reported here were mainly determined using SongMeters (682 data points on 209 females, SongMeterTM SM2þ; Wildlife Acoustics, Inc., Maynard, MA, U.S.A.), but during the peak of the 2018 breeding season the number of females that had to be measured on the same day was higher than the number of Song-Meters available, so we additionally used radiofrequency identification (RFID) loggers (14 data points on 10 females, EM4102 data logger, Eccel Technology Ltd, Aylesbury, U.K.; Iserbyt et al., 2018) and infrared sensitive cameras (one data point on one female, Pakatak PAK-MIR5, Essex, U.K., Grunst et al., 2022). ...
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... The cameras recorded immediately after installation at least 2 h before sunset and were switched off on collection the next morning at least 2 h after sunrise 38 . From the total of 1076 observations 5 datapoints were collected using the infrared cameras (1 in 2018, 4 in 2021), 49 using the RFID loggers (9 in 2018, 40 in 2020) and all remaining data via SongMeters (see also 39 for more details on the data selection process). We removed one datapoint from the dataset as it was an outlier. ...
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This study aimed to validate the Morningness-Eveningness-Stability-Scale improved (MESSi) in Mexico, analyzing the factor structure and sleep habits, combined with the proposal of cutoff values for the scales, and to assess the relationship with substance use. We applied the questionnaires through an online survey to a total sample of 510 Mexicans, aged 18-77 years (M = 27.79, SD = 10.24). The MESSi showed an acceptable fit and the Cronbach's alpha coefficients were good to satisfactory in the Mexican sample in every subscale: Morning Affect (MA, α = 0.90), Eveningness (EV, α = 0.88), Distinctness (DI, α = 0.80). In order to obtain a better interpretation of the MESSi subscales, we decided to propose cutoff points corresponding to the 25th-75th percentile. The categories were depicted as strong trait presence, intermediate trait presence and weak trait presence. When applying the cutoff points for the MESSi sub-scales, with Morning Affect (MA), strong-types went to bed and woke up earlier and had more sleep than weak-types during weekdays and weekends and reported less social jetlag. For Eveningness (EV), strong-types went to bed and woke up later than weak-types on weekdays and weekends. Also, strong-types had a shorter time in bed during weekdays but not on weekends and reported more social jetlag. Lastly, with Distinctness (DI), the results reported that those with a strong-type showed greater amplitude on weekdays and weekends. Furthermore, the MESSi scale found that evening people consumed more alcohol and tobacco. Our study supported the validity and reliability of the MESSi in a Mexican population and the relationship between eveningness and substance consumption. Furthermore, the proposed cutoff scores for the MESSi sub-scales add a novel approach for the measurement and interpretation of the scale.
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Under natural conditions, many aspects of the abiotic and biotic environment vary with time of day, season or even era, while these conditions are typically kept constant in laboratory settings. The timing information contained within the environment serves as critical timing cues for the internal biological timing system, but how this system drives daily rhythms in behaviour and physiology may also depend on the internal state of the animal. The disparity between timing of these cues in natural and laboratory conditions can result in substantial differences in the scheduling of behaviour and physiology under these conditions. In nature, temporal coordination of biological processes is critical to maximize fitness because they optimize the balance between reproduction, foraging and predation risk. Here we focus on the role of peripheral circadian clocks, and the rhythms that they drive, in enabling adaptive phenotypes. We discuss how reproduction, endocrine activity and metabolism interact with peripheral clocks, and outline the complex phenotypes arising from changes in this system. We conclude that peripheral timing is critical to adaptive plasticity of circadian organization in the field, and that we must abandon standard laboratory conditions to understand the mechanisms that underlie this plasticity which maximizes fitness under natural conditions. This article is part of the themed issue ‘Wild clocks: integrating chronobiology and ecology to understand timekeeping in free-living animals’.
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We used an automated radiotelemetry system to determine diurnal patterns of activity and temporal phenotype (onset and cessation of activity) in female European starlings during breeding. Parental care is thought to be the most ‘costly’ part of reproduction, with high rates of intense activity due to foraging and provisioning for chicks, so we predicted that variation in timing of activity should be closely related to breeding success. Diurnal variation in activity varied systematically with breeding stage in a way consistent with specific demands of each phase of parental care: incubating females were more active late in the day (1600–1800 hours), while chick-rearing females were more active early in the morning (0700–1100 hours). There was marked individual variation in timing of onset, and to a lesser extent cessation, of activity, e.g. chick-rearing females first became active 7–127 min after morning civil twilight, with low to moderate repeatability within and among breeding stages (individual explained 2–62% of total variation). On average, females were active later, and ceased being active earlier, during chick rearing compared with incubation. Chick-rearing birds had a longer active day, but only by 2.3% (36% of the seasonal increase in total available daylength). Thus, chick-rearing females were relatively less active (‘lazier’), which is consistent with the idea that parents work more efficiently rather than simply working harder. We found little evidence that chick-rearing activity was associated with variation in measures of current reproduction (provisioning rate, number and quality of chicks), future fecundity (initiating a second brood, cumulative 2-year productivity) or survival (local return rate). Our study demonstrates that time-keeping mechanisms show plasticity in response to reproductive state and can be modulated by ‘biotic’ (e.g. prey availability) or ‘social’ time (demands of parental care).