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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:28February2022
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Revised:30August2022
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Accepted:5September2022
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
ThisisanopenaccessarticleunderthetermsoftheCreativeCommonsAttributionLicense,whichpermitsuse,distributionandreproductioninanymedium,
provide d the original wor k is properly cited.
©2022TheAuthors.Ecolog y and EvolutionpublishedbyJohnWiley&SonsLtd.
DepartmentofBiology,Behavioural
Ecology and Ecophysiology Group,
UniversityofAntwerp,Wilrijk,Belgium
Correspondence
MarjoleinMeijdam,Departmentof
Biology,BehaviouralEcologyand
EcophysiologyGroup,Universityof
Antwerp,Universiteitsplein1,2610
Antwerp,Wilrijk,Belgium.
Email:marjolein.meijdam@uantwerpen.be
Funding information
FondsWetenschappelijkOnderzoek,
Grant/AwardNumber:G052117Nand
G0A3615N;UniversiteitAntwerpen
Abstract
Thereisincreasingevidencethatindividualsareconsistentinthetimingoftheirdaily
activities,andthatindividualvariationintemporalbehaviorisrelatedtothetimingof
reproduction. However,itremainsunclear whether observedpatternsrelatetothe
timingoftheonsetofactivityorwhetheranearlyonsetofactivityextendsthetime
thatisavailableforforaging.Thismaythenagainfacilitatereproduction.Furthermore,
thetiming of activityonset andoffsetmayvaryacrossthe breeding season, which
maycomplicatestudyingtheabove-mentionedrelationships.Here,weexaminedina
wildpopulationofgreattits(Parus major)whetheranearlyclutchinitiationdatemay
berelated to an earlyonsetofactivityand/ortolonger activedaylengths. Wealso
investigatedhowtheseparametersareaffectedbythedateofmeasurement.Totest
these hypotheses,wemeasuredemergenceand entry timefrom/intothe nestbox
asproxies foractivity onsetand offset infemalesduring theegg layingphase.We
thendeterminedactivedaylength.Bothemergencetimeandactivedaylengthwere
relatedtoclutch initiationdate. However,amoredetailedanalysisshowedthatthe
timingofactivitieswithrespecttosunriseandsunsetvariedthroughoutthebreeding
season both within andamong individuals. The observed positive relationships are
hence potentially statistical artifacts. After methodologically correcting for this
dateeffect,byusingdatafromthepre-egglayingphase,whereallindividualswere
measuredonthesamedays,neitheroftherelationshipsremainedsignificant.Taking
methodologicalpitfallsandtemporalvariationintoaccountmayhencebecrucialfor
understandingthesignificanceofchronotypes.
KEYWORDS
activedaylength,chronotype,circadianrhythm,clutchinitiationdate,emergencetime,Parus
major
TAXONOMY CLASSIFICATION
Behaviouralecology
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1 | INTRODUCTION
Circadianrhythmsoccur onadiel (24 h)time scale andareubiqui-
tousinalllivingorganisms.Theyareendogenouslyorchestratedby
the biological clock, but entrained by the light– dark cycle, so that
they match the 24 h daylength (Pittendrigh, 1993). However, the
free-runningperiodlength(τ),whichrepresentstheamountoftime
ittakestheendogenousclocktorepeatitselfintheabsenceofen-
vironmentalcues, oftendiffersslightlyfrom24 handitintriguingly
varies amongindividuals too (Helm& Visser,2010). This individual
variationinthefunctioningofthebiologicalclockbecomesvisibleat
thephenotypiclevelasconsistentamong-individualvariationinthe
timingofactivities. The earlyorlatetimingofeventsisreferredto
as“chronotype.”Ittypicallycapturesthetimingwhenanindividual
startswithitsactivityinthemorningandwhenitbecomesinactive
inthe evening. In humans, variation in the preferred timing of ac-
tivitiesis referred to as“morningness”and “eveningness” (Arrona-
Palaciosetal.,2020).Variationinthetimingofactivitypatternshave
beenfoundinavarietyofothertaxa,includingmammalsandbirds,
bothinlaboratorysettingsandfree-livingpopulations(e.g.,Labyak
et al., 1997;Lehmannetal.,2012;Refinettietal.,2016;Steinmeyer
et al., 2010).Thus, it iscommonlyaccepted that individualsconsis-
tentlydifferfromeachotherinthetimingoftheiractivitypatterns.
Understanding how this individual variation in chronotypes is
maintained in natural populations is of outermost relevance, but
knowledgeabout theevolutionand adaptive significance of chro-
notypesinnaturalecosystemsisstillscarce(Dominonietal.,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
fitnessconsequences isdifficult (Van der Veenet 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,aschronotypes mayinfluencethetimingof the expression
ofcertain traits(Hauetal.,2017).Forexample,dawnsonginmale
birds shou ld be timed pre cisely to the pre sence of (receptive) f e-
males (Hau etal.,2017), whiletiming mightalsoplay an important
roleforminimizingpredationriskandmaximizingforagingefficiency
(DeCourseyetal.,2000;Helmetal.,2017).
Still,empiricalevidenceonthefitnessconsequencesofchrono-
typesis mixed. Both male and female birds thatengaged in extra
pair copulations, which particularly occur at dawn, had earlier chro-
notypesthanotherbirds(Halfwerketal.,2011 ;Poeseletal.,2006),
butthiscouldnotbeconfirmedinalaterstudy(Schlichtetal.,2014).
Mauryetal. (2020) andSteinmeyeretal. (2013)foundthat 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-
maleswhichhadanearlieronsetofactivityinthemorninghadear-
lierclutch initiation dates.Thelatteriscommonly assumedtobea
fitnessmeasure,as earlier hatchedchickshave higherrecruitment
rates(e.g., Verboven&Visser,1998).This suggeststhatthetiming
ofreproductionratherthanthereproductiveinvestmentmightvary
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., thetime theyspend outsidethe nestbox) andthe
timetheycan,forexample,spendonforaging.Earlyrising,andthus
increasing active daylength, would then allow individuals to make
moreefficientlyuseofthelimitedresourcesatthebeginningofthe
breedingseason, as they wouldhave moretime available. The ac-
tive daylength can be further increased by delaying the cessation
time, ashas recently been reported for female Europeanstarlings
(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). Alsoin bluetits(Cyanistes caeruleus),
substantial variationamong individuals has beenshown for active
dayleng th, so that a dis tinction be tween long- and shor t-sleepin g
individualscouldbemade(Steinmeyeretal.,2010). This altogether
impliesthatarelationshipbetweenactivityonsetinthemorningand
clutchinitiationdatemaynotonlydependonthetimingofdailyac-
tivitybutcouldalsobetheresultofanincreaseinactivedaylength
in early rising individuals.
Furthermore,aconcernthathaspotentiallynotsufficientlybeen
takenintoaccountinpreviousstudiesonthefitnessconsequences
ofthedailytimingofactivityisthecontributionoftemporalvariation
acrossthebreedingseasonasunderlyingdriverofsuchrelationships
betweenfitnessandtimingofactivity.Emergencetime,entrytime,
and therewith active daylength, which are key parameters when
studyingindividualvariation intemporalbehavior,vary throughout
the year (Schlicht & Kemp enaers, 2020; Steinmeyer et al., 2010;
Stuberetal.,2015),evenaftercorrectingfortheseasonalchangesin
thetimingofsunriseandsunset.Thissuggeststhatthesignificance
ofsunrise andsunsetfor determining activity patternsmay differ
acrosstheyearorwithdateofmeasurementbothwithinandamong
individuals. The date of measurement may thus be a confounding
factorwhenanalyzingrelationshipsbetweentheactivity parame-
ters andfitnessestimates suchas clutchinitiation date,which are
temporalparametersinitself.
Here, we study the relationships between activity patterns
at the onset of reproduction and clutch initiation date (Graham
et al., 2017),asmeasuredbyregularnestchecksinanestboxbreed-
ingpopulationofgreattits.First,weinvestigatewhetherindividual
variatio n in activity p atterns is consiste nt (i.e., repeata ble) within
andacrossperiods(pre-egglaying and egglaying)inthebreeding
cycle.Then,weinvestigatewhetherthedailytimingofonsetofac-
tivit y in the mornin g is related to the se asonal timin g of onset of
reproduction,thatis,startofegglaying.Byconsideringbothonset
(here:emergencetimefromthenestbox)andoffset(here:nestbox
entry timein the evening) of dailyactivity,wealso investigatethe
hypothesisthatearlierrisingfemaleshavelongeractivedaylengths
(i.e., advancedonset but not advanced offset), which allowsthem
toaccumulatetherelevantresourcesearlierinthebreedingseason,
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-
fectedbyvariationinthedailytimingofactivityacrossthebreeding
season.
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2 | MATERIALS AND METHODS
2.1 | Population
Thisstudywascarriedoutinasuburbannestboxpopulationofgreat
tits,locatedinWilrijk(Antwerp),Belgium(51°09′46.1”N,4°24′13.3″ E)
duringthebreedingseason(March–June)of2020(Raapetal.,2016;
Rivera- Gutie rrez et al., 2012; Van D uyse et al., 2005). About 170
nestboxes, suitableforgreat tits,areplaced intreesat aheight of
about 2 m. A ll individua ls that had bee n captured du ring previou s
breedingseasonsorduringroostinginwinterwereequippedwitha
ringcontainingaPIT-tag(passiveintegratedtransponder;EM4102,
125KHz,EccelTechnologyLtd)andauniquecombinationofcolor
rings,enablingindividualrecognition.Thenestboxeswerechecked
every fewdaysfornestbuilding,egglaying,and incubation. In our
population, great tits can have up to two broods per year, but this
studyonlycontainsdataoffirstbreedingattempts.
2.2 | Emergence and entry times
Todetermine the timeat whichfemales leave the nest box inthe
morning(emergencetime)andenterintheevening(entrytime),we
usedSongMeters(SongMeter™SM2+;WildlifeAcoustics, Inc) and
radio-frequency identification (RFID) loggers (EM4102datalogger,
EccelTechnologyLtd).RFIDloggersconsistoftwoantennas,which
wereplacedaroundtheopeningofthenestbox,oneontheinside,the
otherontheoutside.WhenaPIT-taggedindividualpassesthrough
theantennas,theRFIDlogger registersthe uniquePIT-tagnumber
andthe timeofpassing(for more details,see Iserbyt etal., 2018).
The readersampleinterval wasset to 250 msand the sleep mode
between 10:00 p.m. and 03:00 a.m. As not all individuals in the
populationwereequippedwithPIT-tags,wealsousedSongMeters
todeterminetheemergenceandentrytimes.SongMetershavetwo
microphonestorecordsoundsbothinsideandoutsidethenestbox.
Bothmicrophonesproducesonograms.Beforetheclockchangedto
summer time,soundwasrecorded in themorningfrom 04:00 a.m.
to08:00 a.m.CETandin theeveningfrom05:30 p.m.to08:30 p.m.
CET.Afterthe clock changed to summertime, we recordedsound
from03:00 a.m.to08:00 a.m.CETinthemorningandintheevening
from 05:30 p. m. to 09:00 p.m. CE T. Morning e mergence time an d
eveningentrytimecouldbedeterminedbythesoundofthefemale'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,aspecificsoundcausedbyachangeinair
pressurecanbe heardwhen the female passesthe openingofthe
nestbox.DatarecordedbySongMeterswereanalyzedusingAvisoft
SASLabPro5.2.14(Specht,2002).
Emergenceandentrytimeswere measuredduringtheegglay-
ing phase ( i.e., after the fir st egg was laid and b efore incubation
started)andforasubsetofindividualsalsoduringthepre-egglaying
phase (i.e.,when nest building was completed andbeforethe first
egg was laid;see below).As individualsshiftthe timingofactivity
substantiallybetween thedifferentstages of breeding (Schlicht&
Kempenaers, 2020), the physiological state should not dif fer be-
tweenindividualswhenmeasuringactivitypatterns.Duringthepre-
egglayingphase,allindividualsshouldthusbemeasuredoncenest
buildingiscompleted.However,notallfemalessleepinthenestbox
duringthisphase,andmanyfemalesfinishnestbuildingonlytheday
beforeegglayingstarts.Thisdoesnotallowobtaininglargesample
sizesduringthepre-egg layingphase.During theegg layingphase
however,all femalessleep in the nest box and measuring all indi-
viduals inthe samephysiological state is relativelyeasy.As timing
ofactivityisthoughttobeconsistentweexpectedthatindividuals
withrelativelyearlytimingduringtheegglayingphasewouldalsobe
early duringthepre-egg layingphase. Weshowed thatemergence
timeisrepeatableonthelongterm(i.e.,acrossyears)infemalegreat
titsinourpopulation(Meijdametal.,2022).Therefore,wedecided
tomeasureemergenceandentrytimesmainlyduringtheegglaying
phase.
Weusedacombinationofboth SongMetersandRFID loggers.
Emergencetimesweremeasured88timeswithbothSongMeterand
RFIDlogger.Twenty-sevenpercent ofthemeasurementsbyRFID
loggersdidnotcorrespondwiththeSongMeter.Visualvalidationof
ourRFIDloggerswasperformed inpreviousyearsbothinbluetits
andgreattits.Inbluetits,inadatasetof242parentalvisits(N = 10
nests),86.8% of all entries and 43.8% of all departures were reg-
istered (Iserbytet al.,2018). In great tit s, the correlation between
feeding ratesoffemalesmeasuredwithRFID loggersand cameras
was0.78(Thysetal.,2021;note:whenfeedingchicksfemalesboth
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-
gerismuchhigherduringchickrearingwhencomparedwithleaving
theboxafter awakening,andisalsofasterinbluetits,thereisstill
achangethat the entryoremergencetime into/fromthenest box
willbemissedbyourRFIDloggers.Inalmostallinstancesinwhich
theSongMeterdatadidnotcorrespondtotheRFIDloggerdata,the
RFIDlogger showedlateremergencetimesandearlierentry times
thantheSongMeter.Therefore,SongMeterdataarelikelymoreac-
curate andit is highly likelythat theRFID loggers missed thefirst
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-
cessfullybeenusedinpreviouspapers(e.g.,Halfwerketal.,2011).
Forthesereasons,wedecidedtouseonlydatafromSongMeters
if both SongMeter and RFID logger data were available. If only
RFID logg er data were availa ble (nobservations = 58 on 30 fe males),
onlymeasurementsthatfellwithin the rangeof emergence times
measuredbytheSongMeterswereincludedinthedataset(127 min
beforesunriseupto63 minaftersunrise;thisresultedintheremoval
of16datapoints). For entrytimes,the error was 12%on 82 mea-
surements,sohere,weusedthesameprocedureasforemergence
times(anoverviewofthesamplesizesafterthedataremovalcrite-
rion was applied is presented in Table 1.Acomprehensiveoverview
ofthe number ofbirds sampled per day is presented in Table S1).
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Completely excluding the RFID data from the analyses did not
changetheoutcomeorinterpretation(theseresultswillnotbefur-
ther discussed).
For both Son gMeter and RFID dat a, we determined em ergence
timesrelativetosunrise(negative=befo resunrise,p osi tiv e=afte rsun-
rise)andentrytimesrelativetosunset(negative=beforesunset,pos-
itive =aftersunset).Wealsodeterminedtherelativeactivedaylength
(negative = shorter active period than the period between sunrise
and sunset, positive = longer active period than the period between
sunriseandsunset).Hereafter,emergencetime,entrytime,andactive
daylengthalways concernrelative times,unlessit is specificallymade
clearthattheyconcernabsolutetimes.Temperaturedat awasret 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 .
Inmodelscontainingemergencetime,weusedthetemperature
(T°)atsunrise,andinmodelscontainingentrytime, we usedT°at
sunset,andinmodelscont ainingactivedaylength,weusedthemax-
imumdailyT°onthedayofmeasurement.
2.3 | Statistical analysis
AllstatisticalanalysiswereperformedinR4.0.2(RCoreTeam,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
eliminationusinglmerTest(Kuznetsovaetal.,2017). For all statistical
tests,thesignificancelevelwassetatα = 0.05.
Totestifanindividual'saverageentrytimedependedonitsav-
erageemergencetime,bothmeasuredduringtheegglayingphase,a
linearmodelwasused.Second,weusedtwoseparatelinearmodels
totestwhetherclutchinitiationdatedependedon theindividual's
averageemergencetimeoritsaverageactivedaylength.Clutchini-
tiationdatesrangedfromMarch22uptoApril20(=30 days).Inboth
models,femaleage(years)wasincludedasfixedeffect.
Althoughweusedrelativevaluesfor emergenceand entry time
to account fo r changes in the onset of d awn and dusk across t he
breedingseason,avisual inspectionof the datarevealedthat there
could still be temporal variation in both parameters. To explore
thesepatterns, wemodeledvariationinactivityparametersinrela-
tion to thedateof measurement,using random regressionanalyses
(Dingemanseetal.,2010 ;Nusseyetal.,2007).Threeidenticalmodels
wererunforemergencetime,entrytime,andactivedaylength.The
models includedthe average date (starting asacount from April 1)
onwhichanindividualwasmeasured(=among-individualeffect),the
deviationfromtheaveragedate(=within-individualeffect;VandePol
& Wright, 2009),theirinteraction and age ofthe femaleasfixedef-
fects.Theamong-individualeffectallowstotestwhetherfemales,on
average(population-level),differinactivitypatternswhenobserved
ondifferentdates.Thewithin-individualeffectallowstotestwhether
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 theactivity patterns ingreat tits(Lehmann et al.,2012;Stuber
et al., 2015), we also included the temperatureas describedabove.
Randomintercepts(=chronotype;i.e.,doindividualsdifferfromeach
otherinaverage activitypatterns?)wereincluded forfemaleIDand
random slopes on the level of the deviation from the average date
(=individual plasticity in activity patterns in response to date; i.e., do
individualsdifferfromeachotherinplasticity?)wereincludedforfe-
male ID as wel l. Stepwise back wards eliminat ion of non-s ignificant
termswasperformedtoobtaintheminimumadequatemodel(MAM).
Likelihoodratiotestswereusedtodeterminesignificanceofrandom
effects (i.e., individualinterceptand slope). Adjusted repeatabilities
foremergencetime,entrytime,andactivedaylengthduringtheegg
laying phase were calculated from these MAMs as the variance ex-
plainedbyfemaleIDrelativetothetotalvariance.
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
datathatwehadcollected duringthepre-egglayingphase.During
thisphase,weplacedSongMeterson25nestboxeswithneststhat
were compl eted, but with no e ggs yet. For the se 25 females, we
measuredemergenceandentrytimesbetweenMarch26andMarch
30.Temporalvariationwasthusverylimited.Weusedlinearmixed
models to test whether emergence time, entry time, and active
daylengthwere affected by thedateofmeasurement,thenumber
ofdayspriortoclutchinitiation,thetemperature,andthefemale's
TAB LE 1 Samplesizesofemergencetime,entrytimeandactivedaylengthduringthepre-egglayingphaseandtheegglayingphase.
Phase Variable
Number of
females
Number of measurements
Mean per female
Repeats per female
1 2 34 5 6 7
Pre-egglaying Emergencetime 23 2.96 122 0
Entrytime 24 3.04 317 4
Activedaylength 22 2.95 121 0
Egg laying Emergencetime 121 3.84 1 5 49 27 36 2 1
Entrytime 116 3.54 323 30 35 19 5 1
Activedaylength 114 2.98 245 26 36 41 0
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age(inyearssincebirth,withage=0isyearofbirth;fortheresults,
see Figure S2 and Table S2).Inallmo del s,r and ominterc ept swe rein-
cludedforfemaleidentity(ID).Afterexcludingnon-significantfixed
effects,wecalculatedtheadjustedrepeatability.
Weperformed 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,
clutchi n i t ia t io nd a t e s r a n g e d f r o mM a r c h 2 9 u p t oA p r i l 1 5(=18 days).
Additionally, using a separate model on the subset of females
measuredduringboth the pre-egg laying and the egglayingphase,
weestimated the between-periodrepeatabilityofemergence time,
entry time,and activedaylength (nemergencetime = 23, nentry time =24,
nactive daylength =21).We inclu d edthe repro d uctivephas easa t wo-le vel
factor(i.e.,pre-egglayingvs.egglaying)andthemeasurementinter-
val(i.e.,thenumberofdaysbetweentheaveragemeasurementdate
duringthepre-egglayingphaseandtheegglayingphase;mean= 8.3,
min.=3,max=18.5)asacontinuouscovariate.Non-significantfixed
effects were removed from the models. Both female ID and the
uniquecombinationofperiodandfemaleIDwereincludedasr andom
effects,therebyspecificallyallowingtoestimatethebetween-period
repeatability,followingAraya-Ajoyetal.(2015).Thatis,theadjusted
between-period repeatability wascalculatedfrom thismodel as the
varianceexplainedbytheindividualrelativetothetotalvariance.
2.4 | Ethical note
ThisstudywasapprovedbytheethicalcommitteeoftheUniversity
of Antwerp (ID numbers: 2016–87 and 2018–50) and was
performed inaccordance withBelgian and Flemish laws regarding
animal wel fare, adhered to th e ASAB/ABS guidelines f or the use
ofanimalsin behavioralresearch and teaching, and complies with
ARRIVE guidelines.TheRoyalBelgian Institute ofNaturalSciences
(KBIN) provided ringing licenses for all authors and technicians.
Handlingtimewasminimizedasmuchaspossible.Allothermethods
describedabovearenon-invasive.
3 | RESULTS
Duringthepre-egglayingphase,emergencetimesrangedbetween
76 minbeforesunriseand21 minaftersunrise(Table 2).Entrytimes
rangedfrom63 minutesbeforesunsetupto10minutesaftersunset
andactivedaylengthsfrom56 minshorterthanthedaylightperiod
upto 46 minlonger.Duringtheegg layingphase,emergencetimes
ranged from 127 min before sunrise up to 63 min after sunrise.
Entrytimesrangedbetween136 minbeforesunsetand13 minafter
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 minlongerthanthedaylightperiod.
3.1 | Repeatability of daily activity patterns
Bothduringthepre-egglayingphaseandtheegglayingphase,the
adjusted repeatability was significant for emergence time, entry
time, and a ctive dayleng th (Table 3). In contrast,between-period
repeatabilitiesforemergencetime(R[95%CI]=0.09[0 ,0. 3 0]),entr y
time(R =0.20 [0,0.42]),andactive daylengthwerenotsignificant
(R =0[0,0]).
3.2 | Clutch initiation date and daily activity
patterns during the egg laying phase
Femaleswithanearlieremergencetimeduringtheegglayingphase
endedtheiractivitiesoutsidethenestboxlaterduringthedaythan
females thatshowedalater onsetofactivity (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 activityearlyduring theday laid their first eggearlierduring
thebreedingseasonthanindividuals withlateemergence 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
breedingseasonthanindividualsthatwereactiveforashortertime
period.
3.3 | The influence of date on daily
activity patterns
Datehadanimportantinfluenceonemergencetime,entrytime,and
active daylength(Figure 2; Table 4). Early in the season individuals
emergedclosetosunrise(=0),whilelaterintheseasonemergence
times becamelater (=positive values; Figure 2a). Thus, date had a
Phase Variable Min. Max. Mean SD
Pre-egglaying Emergencetime −76 21 −17. 51 13.64
Entrytime −63 10 −23. 07 17. 2 5
Activedaylength −56 46 −6.25 21.92
Egg laying Emergencetime −127 63 5. 81 17. 5 9
Entrytime −136 13 −39.18 24.67
Activedaylength −153 35 −45.35 32 .51
TAB LE 2 Summaryofthemeasured
valuesforemergencetime,entrytimeand
activedaylength(inminutesrelativeto
sunrise, sunset and the period between
sunrise and sunset respectively) during
thepre-egglayingandegglayingphase.
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positiveeffectonemergencetimes(Averagedateeffectisgivenin
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 oncon-
secutive days within individuals (Date deviation effect in MAM:
t =3.23,df=296.72,p < .01;Figure 2a).Furthermore,olderfemales
hadearlieremergence times (Table 4).Temperature at sunrise did
not affec t emergence t imes. On average , entry time b ecame ear-
lierasthedateprogressed(Figure 2b) and active daylength shor ter
(Figure 2c; Table 4).Withinindividuals, theseeffectsonentrytime
andactivedaylengthbecameinbothcasesstrongertowardtheend
ofthe breeding season, as indicated by thesignificant interaction
betweenaveragedateanddatedeviation(Table 4).Agedidnothave
aneffectoneitherentrytimeoractivedaylength.Activedaylength
waslongeronwarmerdays(Table 4),buttemperatureatsunsetdid
notaffectentrytime.
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
emergencetimes(asubsetoffemales, n = 23, t = −0.44,df= 22,
p = .66). Furthermore, during the pre-egg laying phase, neither
emergencetime(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
Ourinitialanalysissupportedthepreviouslyreportedfindingthatfe-
malegreattitswithanearlyonsetofactivitystarttoreproduceearlier
inthe season (Graham et al.,2017 ). Thedata equallysupported our
hypothesis that the relationship between clutch initiation date and
emergencetimeisdrivenbyac tivedayleng th,thatis,thetimeafemale
hasavailableforforaging.However,whentakingthedateeffectonthe
activitymeasuresinto account,byusingdatafromthepre-egglaying
phase(whereallindividualsweremeasuredonthesamedays),neither
oftheserelationshipsremainedsignificant.Theconsequencesthereof
forthisandpreviousstudieswillbediscussedbelow.
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 Adjustedrepeatabilityforemergencetime,entrytime,
andactivedaylength(inminutesrelativetosunrise,sunset,andthe
periodbetweensunriseandsunsetrespectively)duringthepre-egg
laying and egg laying phase.
Phase Variable
Adjusted
repeatability
Pre-egglaying Emergencetime 0.39 [0.10, 0.62]
Entrytime 0.27 [0.018, 0. 52]
Activedaylength 0.45 [0.17, 0.67]
Egg laying Emergencetime 0.54 [0.43, 0.63]
Entrytime 0.77 [0.71, 0.83]
Activedaylength 0.71 [0.63, 0.80]
Note:AllrepeatabilitieswerecalculatedbasedontheMAMforthe
respectiveperiodandvariable(forinformationonsignificantfixed
effectsseeTableS2 and Tabl e 4).95%confidenceinter valsareshown
betweenbrackets.Estimatesinboldarestatisticallysignificant(p < .05).
FIGURE 1 Averageemergencetimesinminutesrelativeto
sunrise(negativevalue=beforesunrise)(a)andaverageactive
daylengthinminutesrelativetotheperiodbetweensunriseand
sunset(negativevalue= shorter active than the period between
sunriseandsunset)(b)asmeasuredduringtheegglayingphase
bothaffectedtheclutchinitiationdate(startsasacountfromApril
1(= 1)).
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MEIJDAM et al.
Kempenaers,2020). Also during thepre-egg laying phase, activity
measure s were moderately a nd significant ly repeatable . Contrary
to our expectation, the between-period repeatability (i.e., across
thepre-egg layingand egglaying phase)ofemergencetime, entry
time,andactivedaylengthwas non-significant.Whenstudyingthe
relationship between daily timing of activity and clutch initiation
date,the timingofactivity should thuspreferentially bemeasured
beforeegglayingstart s.However,inourinitialanalyse sa ndinprevi-
ousstudiesonthisrelationship,thetimingofactivitywasmeasured
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).Thelackofrepeatability betweenthedifferentperiodsmay
be due to the smallsample sizesduring the pre-egg laying phase.
Especiallyforlongertermrepeatabilitysmallsamplesizescancause
greatimprecisionintheestimateforamong-individualvariationand
lowpowertodetectsignificance,whichaffectstherepeatabilityes-
timate (Araya-Ajoy et al.,2015).Therefore, it willbe of interest to
investigatelong-term(i.e.,cross-seasonandcross-year)repeatability
ofactivitypatternsinmoredetailandwithlargersamplesizesinthe
future.
4.2 | Emergence times versus active daylength
Initially,usingthedatafromtheegglayingphase,wefoundaposi-
tiverelationshipbetweenemergencetimeandclutchinitiationdate,
whichisinaccordancewithresultsofarecentstudyongreattitsand
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), infree-living European starlings(Mauryetal., 2020)
andinfree-livingbluetits(awakeningtimewasused,whichishighly
correlatedwithemergencetime,Steinmeyeretal.,2013). One pos-
sibleexplanation forthediscrepancy between these studies might
bethatenvironmentalfactorsthatcouldaffecttherelationshipmay
varyfromyeartoyear.Forexample,springtemperaturemaymodu-
latetheeffectoflightastriggerfortheonsetofbreeding(Dominoni
et al., 2020). Studying the relationship between chronotype and
clutchinitiationdateinmultipleyearsmayrevealtheimpactofsuch
environm ental variat ion. As we hypot hesized above, a nother pos-
sibilitycouldbethatactivedaylengthratherthanemergencetime
playsaroleindeterminingonsetofegglaying.Ourinitialanalyses
indeed show that individuals with longer active dayleng ths initiated
egg laying earlier in the season and that individuals that emerged
earlier fromthenest box entereditlatercomparedwithlate rising
individuals(Mauryetal., 2020,Steinmeyeretal.,2010,but Stuber
et al., 2015onlyshowedthiseffectwithinindividuals).
However,emergencetime,entrytime,andactivedaylengthwere
measuredduringegglaying,andasa consequence,theyweremea-
sured soon after clutch initiation (i.e., most often, measurements
FIGURE 2 Activitypatternsinfemalegreattitsaredependent
onthedate:(a)emergencetimesrelativetosunrise,(b)entrytimes
relativetosunset,and(c)activedaylengthinminutesrelativetothe
periodbetweensunriseandsunset.Allindividualshaveseparate
regressionlines(individualscanbedistinguishedbycolor).Date
startsasacountfromApril1(= 1).
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MEIJDAM et al.
started1or 2 days afterclutchinitiation).Thedateof measurement
was thus very tightly linked to the laying date of the first egg and
differencesinactivitypatternsbetweenearlyandlatelayingfemales
couldpossiblybeexplainedbyenvironmentalchangesovertime(e.g.,
temper ature, food avail ability, predatio n risk, and light in tensity at
thenestboxduetoan increaseinleafcoverage)insteadofintrinsic
differencesinchronotypes.Therefore,weexpectedthatthedateof
measurementmaybeaconfoundingfactorwhenanalyzingtherela-
tionshipsbetweentheactivityparametersandclutchinitiationdate.
Totacklethisproblem,andbec ausewedidnotf indrepeatabil-
ity in the daily timing of activity between the differentperiods,
we perfo rmed additi onal analyses t hat suppor ted our presump -
tionthatthedateofmeasurementisa confoundingfactorinthe
relationship between activity patterns and clutch initiation date.
First,wetriedtostatisticallycorrectfordateofmeasurementby
using individual intercepts and slopes. However, it is not possible
todisentanglethedateofmeasurementfromclutchinitiationdate
with thismethod. Instead, weused emergencetimesand active
TAB LE 4 Resultsfromlinearmixedeffectsmodelswithrandominterceptsandslopesfortestingtheinfluenceofdateonemergence
time,entrytimeandactivedaylength(inminutesrelativetosunrise,sunsetandtheperiodbetweensunriseandsunsetrespectively)during
the egg laying phase.
Dependent variable Fixed effects βSE tdf p
Emergencetime Averagedate 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
Averagedate × date
deviation
0.11 0.1 2 0.95 76.49 .56
Randomeffects σ2χ2df p
IDintercept 118.07 119.34 1<.001
IDslope 14.33 3.79 2.15
Corrintercepts-slop es −0.03
Residual 93.14
Entrytime Fixedeffects βSE tdf p
Averagedate −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
Averagedate × date
deviation
−0.94 0.21 −4.48 9 9. 28 <.001
Randomeffects 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
Activedaylength Fixedeffects βSE tdf p
Averagedate −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
Averagedate × date
deviation
−1. 0 5 0.27 −3 .87 7 3. 51 <.001
Randomeffects 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:Estimatesinboldarestatisticallysignificant(p < .05).
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daylengthsfrom asubsetof females, thatweremeasuredduring
the pre-egg laying phase. All females were measured multiple
timeswithinarangeof5 days(i.e.,thedateof measurement was
independent fromthe clutchinitiation date). We foundthat nei-
theremergencetimenor active daylengthmeasuredduringthe
pre-egglayingphasewererelatedtothe initiationofegglaying.
Thus, as emergence times and active daylengths were not re-
lated to clut ch initiation date wh en methodologi cally correct ed
forthedate of measurement,weconsideritmost likelythatthe
relationships we initially found are confounded by the date of
measurement.
4.3 | Variation in emergence time and active
daylength across the breeding season
Thedateonwhichanindividualwasmeasuredaffecteditsemergence
time,entrytime,andactivedaylengthrelativetosunriseandsunset,
thatis,evenaftercorrectingforchangesinsunriseandsunsetover
time.Emergencetimedelayedwithdate,whileentrytimeadvanced.
Asimilareffectwasrecentlyreportedinindividualblue titsduring
theegglayingphase,butdateeffectsonthe populationlevelwere
notinvestigated(Schlicht&Kempenaers,2020).
As circ adian clocks ar e entrained by t he light–dark cycl e (e.g.,
Berson etal., 2002; Wright Jr et al., 2013; Zeng et al., 1996), light
intensityislikelyaveryimportantdeterminantforactivitypatterns
inthewild(seealsoSockman&Hurlbert,2020foradiscussionon
the role of ac tive daylengt h on migratory beh avior). In great tits
andbluetits,lightintensityatthenestbox significantlyinfluenced
emergencetimeand awakeningtime in the morning,respectively
(Steinmeyeretal.,2010;Stuberetal.,2015). However, the variation
that we observed in emergenceand entry time relative to sunrise
andsunsetovertime bothwithinand amongindividuals, indicates
thatthelightintensitiesthattriggeremergencefromandentryinto
thenestboxchangeovertime.
At present , we can only specu late about the unde rlying driv-
ers. During winter, whenthe days are short, individuals may have
to make use of the f ull daylight pe riod, while in s pring, when t he
daysaremuchlonger,theymaynotneedthefulldaylightperiodto
performallnecessary tasks.Conversely,greattits may alsoneeda
minimalamountofsleep.Therefore,emergencetimesmaydelayrel-
ativetosunrisewhenthedayslengthenwhileentrytimesadvance.
However,duringthebreedingseason,wewouldthenexpecttheab-
solute activedaylength toremainconstantfromacertainmoment
onwards,butinfact,itstartedtodecreasewhilethedaylightperiod
was still lengthening.
Inadditiontolightintensityalternativezeitgebers(i.e.,environ-
mental factors that canentrain the biological clock)and masking
factors(i.e.factorsthatdo notchange the internalclocktime, but
instead modifythe expressionofbehavioral rhythms) maybe im-
port ant (Helm et al., 2017). Fo r example, earl ier studies showe d
thatwildgreattitsdelayedentrytimesonwarmerevenings(Stuber
et al., 2015), while captive great tits had later activity onset and
earlier activityoffsetinwarmerconditions(Lehmann etal.,2012).
Wefound that an increase in maximum temperature was related
tolongeractive daylengths, although temperature at sunrise and
sunset didnot significantlyinfluence emergence andentrytimes.
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 timeisthe food availability(Hau & Gwinner,1997, Rani
et al., 2009,Vivanco et al.,2010). When food is not continuously
available,butonlyduringspecific timeframes,thiscanentrainthe
biologicalclock and individualsmayshift theircircadian phase, to
meettherequirementsofoptimalforaging.Alternatively,foodavail-
abilit y may have acted as a mas king factor. For exa mple, on days
withhighfoodavailabilitygreattitsmayneedlesstimeforforaging
inorder to meet their energyrequirements,whichenables 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 foodavailability on emergence and entry times needs further
investigation.
Furthermore,theamountoftimespentonnighttimeincubation
mayhave affected activity patterns during egg laying. During this
phase,femalesalreadystartincubatingtheeggsatnight.Witheach
subsequentegg,theamountoftimespentonnighttimeincubation
increas es (Lord et al., 2011; Pod las & Richner, 2013) an d females
withlateegglayingdatesincubatelongeratnightthanfemaleswith
early laying dates (Haftorn, 1981). Night time incubation normally
starts immediatelyafterenteringthe nest box, but whether entry
timesadvancewhennighttimeincubationincreasesisyetunknown.
Yet,noneoftheabove-mentionedfactorsseemstofullyexplainthe
observedtemporalpatternsinemergenceandentrytimes.
Aspointedoutabove,thesignifi canceofsunriseandsunsetfor
determiningactivity patterns changes overtimebothwithinand
amongindividuals. This isrelevantfor interpreting this andpre-
vious studies, even though most of the previous studies did not
finddateeffectsonemergencetimesduringthebreedingseason
(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
alarger rangeofdates on which we measured emergence times.
Therefore,itispossiblethatalthoughGrahametal.(2017) did not
find date ef fects on em ergence times , their results m ay still be
confoundedbydate.Theymeasuredemergencetimesduringthe
incubation period, which isslightly differentfrom our approach.
However,ifemergencetimeismeasuredatafixedtimeafterclutch
completion,itcouldstillbepossiblethatdateinflatestherelation-
ship between clutch initiation date and emergencetime. In fact,
Steinmeyeretal.(2013),whorecordedsleepbehaviorduringmul-
tiplemonthsinwinterinmultipleyears,foundthatsleepparame-
ters(including awakeningtime)variedgreatlybetweenrecording
datesandthereforethey corrected awakeningtimes for thedate
ofmeasurement. Thecorrected awakeningtimes then again did
notaffectclutchinitiationdates.
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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,
wedidnotfindasignificantrelationshipbetweentimingofactivity
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
environmentalfactors,suchastemperatureorfoodavailability.This
makesitmethodologicallyextremelychallengingtocorrectfordate
ofmeasurementeffects.Futurestudiesonfunctionalconsequences
ofactivitypatternsshouldhenceaimtovarythetimespanbetween
thedependent(here:layingdate)andindependent(here:timingof
activity)variable,forexample,bymeasuring activitypatternsof 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
respondplasticallytotemporalchangesintheenvironment,spatial
differencesintheenvironmentmayalsoaffectactivitypatternsand
could be partially responsible for differences in emergence times,
entry times,andactivedaylengthsamong individuals,whichasyet
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 andediting (equal). Marcel Eens:
Conceptualization (equal); methodology (equal); writing – review
andediting(equal).
ACKNOWLEDGMENTS
We thank Peter S cheys and Geer t Eens for their f ield assist ance.
This workwas supported by theUniversity ofAntwerp andFWO
Flanders(FWOprojects ID: G0A3615NandG052117NtoMEand
RiannePinxten).Wethankbothfortheirsupport.
CONFLICT OF INTEREST
Theauthorsdeclarenoconflictofinterest.
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
SupportingInformationsectionattheendofthisarticle.
How to cite this article: Meijdam,M.,Müller,W.,Thys,B.,&
Eens,M.(2022).Norelationshipbetweenchronotypeand
timingofbreedingwhenvariationindailyactivitypatterns
across the breeding season is taken into account. Ecology and
Evolution, 12, e9353. https://doi.org/10.1002/ece3.9353
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