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Ecology and Evolution. 2024;14:e70198.
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https://doi.org/10.1002/ece3.70198
www.ecolevol.org
Received:17March2024
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Revised:30July2024
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Accepted:1August2024
DOI: 10.1002/ece 3.70198
RESEARCH ARTICLE
Seasonal variation in the ranging behavior of elephants in the
Laikipia- Samburu ecosystem
Loise W. Kuria1 | Duncan M. Kimuyu1,2 | Mwangi J. Kinyanjui1 |
George Wittemyer3 | Festus W. Ihwagi3
ThisisanopenaccessarticleunderthetermsoftheCreativeCommonsAttributionLicense,whichpermitsuse,distributionandreproductioninanymedium,
providedtheoriginalworkisproperlycited.
©2024TheAuthor(s).Eco logy an d EvolutionpublishedbyJohnWiley&SonsLtd.
1SchoolofNaturalResourcesand
EnvironmentalStudies,Karatina
University,Karatina,Kenya
2MpalaResearchCenterandWildlife
Foundation,Nanyuki,Kenya
3SavetheElephants,Nairobi,Kenya
Correspondence
LoiseW.Kuria,SchoolofNatural
ResourcesandEnvironmentalStudies,
KaratinaUniversity,P.O.Box1957,10101
Karatina,Kenya.
Email:loisewangui3@gmail.com
Funding information
CenterforMountainandClimateChange;
SavetheElephants
Abstract
Africansavannaelephantsareahighlymobilespeciesthatrangeswidelyacrossthe
diversityofecosystemstheyinhabit.Inxericenvironments,elephantmovementpat-
ternsare largelydictatedbythe availability ofwaterandsuitableforageresources,
whichcan drivestrongseasonal changesin theirmovement behavior.Inthisstudy,
weanalyzedauniquemovementdatasetfrom43collaredelephants,collectedovera
periodof10 years,toassessthedegreetowhichseasonalchangesinfluenceshome
range size of elephants in the semi-arid, Laikipia-Samburu ecosystem of northern
Kenya.Auto-correlatedKernel Density Estimation(AKDE)wasused to estimateel-
ephants' seasonalhome rangesize.Foreachindividualelephant,we alsocalculated
seasonal home range shifts, asthe distancebetween wet season home range cen-
troidsanddryseasonhomerangecentroids.Coreareas(50%AKDEisopleths)ofall
individualelephantsrangedfrom3to1743 km2whereastotalhomerangesizes(the
95%AKDEisopleths)rangedbetween15and10,677 km2.Coreareasandhomerange
sizeswere67%and61%larger,respectively,duringthe wetseasonthanduringthe
dry season. On average, thecorearea centroids forallelephants were17 kmaway
fromthe nearest river (range0.2–150.3 km). Femaleshad theircore areascloserto
theriverthanmales(13.5vs.27.5 km).Femalesdifferedfrommalesintheirresponse
toseasonal variation. Specifically,females tended to occupyareas fartherfromthe
riverduringthewetseason,whilemalesoccupiedareasfurtherfromtheriverduring
thedryseason.Ourstudyhighlightshowelephantsadjusttheirspaceuseseasonally,
whichcan beincorporatedintoconservation areaplanningintheface of increased
uncertaintyinrainfallpatternsduetoclimatechange.
KEYWORDS
coreareas,habitatuse,homerangeshift,homerangesize,Loxodonta africana,mega-
herbivores
TAXONOMY CLASSIFICATION
Behaviouralecology
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1 | INTRODUCTIO N
Elephantsact as ecosystemengineersbyinfluencing the structure
and compl exity of the ha bitats in wh ich they occur (Ge bremeskel
Haile et al., 2019),resultinginamyriadofcascadingeffectsonother
trophiclevels(Calengeetal.,2002;Smallie&O'Connor,2000).The
scaleofthiseffectis relativelybroadbecauseelephantsaremega-
herbivoreswithlargehomerangesandhighmobility,allowingthem
to cover large distance s across the landsc ape as they search for
forage re sources (Bolla & H ovorka, 2012). As mi xed feeders wi th
diversediets,elephantscanexhibitgreatplasticityinrangingbehav-
ior(Bastille-Rousseau & Wittemyer,2019; Ortega & Eggert,2004;
Sukumar,2003).Suchchangesmaybedrivenbyseasonalvariation
intheavailabilityofforageandwaterresources(Roeveretal.,2012;
Sukumar,2003; Valls-Fox et al ., 2018; Witte myer et al., 2017 ) as
well as physio logical and beh avioral diffe rences among indi vidual
elephants(Fortinet al.,2022; Moss et al., 2 011). Homerangeslink
themovementofanimalstothedistributionoftheresourcesneces-
sary forsurvival andreproduction.Home range size, location,and
shapemaychangedependingonthestateoftheindividualandthe
conditionsoftheexternalenvironment (Börgeretal., 2006, 2008;
Kenwardetal.,2001).Thereisgreatinterestinexaminingspatialand
temporalvariationinelephant-rangingbehavior,butthelackoflong-
termlongitudinaldatasetsseriouslyconstrainssuchstudies.
Seasonal pulses in the availability and distribution of forage and
water can have enormous impacts on elephants' ranging behavior
(Bastille-Rousseauetal.,2020).Generally,forageandwatertendtobe
morewidelyavailableduringwetthandryseasons.Forexample,rain-
fallcreatestemporarypoolsof water that maybeutilizedbyanimals,
negatingtheneed to rely onmorepermanentwater sourcessuch as
riversandsprings.Similarly,anincreaseinperceivedforageavailabil-
ityduringthewetseasonmayallowanimalstoutilizesomeareasthat
aregenerallyavoided during the dryseason.Inresponsetoseasonal
fluctuations inresourceavailability,elephantsmay eithermigrateout
ofanareaorexhibitseasonalrangefidelity.Migration,definedasthe
repeatedseasonalmovementbetween two non-overlappingregions
(Dingle & Drake, 2007),allowselephants toescapesevereseasonal
declinein resources.Elephantsmayemployanextensivecontinuum
ofmovementbehaviorsthatincludesmigration,highlyvariablehome
ranges, or resident behavior (Bartlam-Brooks et al., 2011; Purdon
et al., 2018).Seasonalrangefidelit yoccurswhenanindividualchanges
thesizeofitsrangewhilemaintainingthecoreareaofhabitatuse,con-
sequentlypresenting relativelyhigh range fidelity but withachange
inthedegreeofrangeoverlap(Damuth,1981 ; Lindstedt et al., 1986).
Sitefidelityisattributabletopredictableaccesstoresources(Burton-
Robertsetal.,2022).
Maleandfemaleelephantsrangingbehaviorvariesacrossspace
andtime due to theirsocial organization(Fortinetal., 2022; Moss
et al., 2011;Wittemyer,Douglas-Hamilton,etal.,2005)aswellasthe
differenceinforagingstrategy(Duffyetal.,2011;Kiokoetal.,2020;
Lee et al., 2 011; Woo lley et al., 2009). Male e lephants may have
largerhomerangesthanfemalesastheydispersetounfamiliarhab-
itatstoseekfoodandmates(duToit&Moe,2014; Lee et al., 2011).
Unlike maleelephants,female African elephants live in matrilineal
families consisting of individuals of different ages. Family-ranging
behaviormaybeconstrainedbycalvesthatmaynotbeabletomove
fastandfarfromwatersources(Ngene,2010).Malee lepha nts ,how-
ever,moveandforagealoneorinbachelorherdswithoutcalvesthat
wouldlimittheirmovement(Ngene,2010).
ElephantsintheLaikipia-Samburuecosystemareknowntomove
overlarge areas over time because theecosystem is stronglysea-
sonal(Bastille-Rousseauetal.,2020;Wittemyeretal.,2008).Inlight
ofthis,therewasacriticalneedtodocumentandcompareelephant
movementsovertheselargeareasasonemightexpecttheirranging
behaviortovaryseasonally.Tounderstandvariationsindistribution
patternsandspaceuseofelephantsinthisresource-limitingregion,
rigorous fielddata modeled withecologically meaningfulpredictor
variablesisneeded. Understanding andpredicting patterns of ani-
malspaceuse isparticularlyimportant for heavilymanagedanimal
populationsandforspeciesthatmayseverelyaffectecologicalpro-
cesses(Reineckeetal.,2014).
Togainadeeperunderstandingofdriversofelephantspaceuse,
weanalyzedthemovementdatasetfrom43collaredelephants,col-
lectedover10 yearsintheLaikipia-Samburuecosysteminnorthern
Kenya.Ouranalysisaimedtoassess(i)thevariationinhomerange
sizesacrossseasonsand(ii)theextentofseasonalhomerangeshifts
ofelephantsinrelationtotheirproximitytotheriver.Wepredicted
thatelephantswouldhavealargerhomerangeduringthewetsea-
son to capi talize on disper sed resources. We exp ected that male
elephantswouldhavelarger homerangesizesthan femalesdueto
theirmovementinsearchofmatesanddispersedresources.Incon-
trast,becausefemaleelephantsliveinmatrilinealfamilieswithde-
pendent calves,theywould beconstrictedto areasnearriversand
watersourcesandexpectedtohavesmallerrangesthanmales.We
expectedelephantstomovefromonelocationtoanotherdepend-
ingonseasonalresources(primarywater)and,therefore,predicted
that the elephants' home range would shift to areas closer to the
EwasoNg'iroriver,whichisakeyperennialwaterresource(Barkham
&Rainy,1976)duringthedryseasonsintheecosystem.Wediscuss
theimplicationsofourresultsforelephantconservation.
2 | METHODS
2.1 | Study area
Thisstudywascondu cte di nt heLai kipia-Sambu ruecosy stemofKe ny a
using datafor 2001and 2021 (Figure 1).The ecosystem isbounded
by coordina tes 0.2° S to 1. 5° Na nd 36.2° E to 3 8° E. The ecos ystem
isdefined by the geographicextent ofthe Ewaso NyiroRiverand its
tributaries,encompassingapproximately36,790 km2(Thouless,1995)
and the his torical elepha nt migration range (G eorgiadis, 2011). Th e
study areais semi-arid withawide range of habitats linked withthe
elevation and climatic gradients that characterize the region: from
cool, wet highlands in t he south to hot, dr y lowlands in the nor th
(Georgiadis, 2011). The rainfall is highly variable and bimodal, with
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peaksinMayandNovemberandayearlyrangefrom<400 mminthe
northtoamaximumof600 mminthesouth(Barkham&Rainy,1976 ;
Ihwagi et al., 2012).Theterrainiscomprisedofexpansiveplainsinter-
rupted by rugged terrain and isolated hills. Wildlife shares the land-
scape freely with the predominantly pastoral communities (Ihwagi
et al., 2015).TheconfirmedLaikipia-Samburuelephantrangeencom-
passes six major land use types: community conservancies, private
ranches, communal pastoral areas, state-protected forest reserves,
settlementsmainlyundersedentarysubsistenceproduction,andthe
nationalreservesthatare either owned by individuals, government,
orcommunities.Theprivate,government,andcommunitylandscom-
prise30%,11%,and59%ofthelandscape,respectively.TheLaikipia–
Samburuelephant(Loxodonta africana)populati onisthesecon dlargest
inKenya,withapproximately7347individuals,primarilyrelyingonthe
rangeoutsideofgovernmentallyprotectedareas(Litorohetal.,2010).
2.2 | Data collection
2.2.1 | Elephantmovementbehavior
ExistingGPS-satellitedata from43 collared elephants(14malesand
29females)thatuse theLaikipia-Samburu ecosystem wereanalyzed
(Figure 2).MaleAfricanelephantsaresolitary,whereasfemaleAfrican
elephantsliveinmatrilinealfamiliesthatcanhaveasmanyas36mem-
bers(Wittemyer,2001;Wittemyer,Daballen,etal.,2005;Wittemyer,
Douglas-Hamilton, et al., 2005). Only one individual elephant was
tracked for family groups consisting of multiple females. Save the
ElephantscarriedoutelephantcollaringoperationswithKenyaWildlife
Serviceusingstandardoperatingprocedures.Thesecollarscamefrom
eitherAfricanWildlifeTrackingfromSouthAfrica,SavannahTracking
from Kenya,or Followit AB from Sweden. Costinfluences the collar
used, theenvironmentthey aredeployed in,and technical specifica-
tions.Thecollarsrecordedthelocationofeachelephantatasetof1-h
intervals.Elephanttrackingdatawereretrievedfromacentralizedda-
tabaseusingcustomizedsoftwarethatemploysadatafiltertoremove
erroneousGPSfixesbasedonamaximumrateoftravelof7 km/h(Wall
et al., 2014). The dataprojections were on the UniversalTransverse
Mercator (UTM) WGS-84 reference system zone 37 N. Data were
stored in ESRI Geodatabase (ArcGIS version 10). Data collected be-
tween2001and2021wereusedforthisstudy.All43elephantsthat
wereselectedforthisstudyhadbeentrackedatvariousintervalsdur-
ing this pe riod, but each e lephant had at le ast 1 year of continu ous
trackingdatawithatleast10 monthsoftrackingdatainanygivenyear.
Theaveragetrackingperiodforall43individualswas4.3 years(range
1–9)years,withthemosttrackedbetween2015and2018(Table S1).
FIGURE 1 ThelocationoftheLaikipia-SamburuecosysteminNorthernKenya.
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2.2.2 | Seasonsdatadelineation
Ecoscope(Copyright2022,WildlifeDynamics,h t t p s : / / e c o s c o p e . i o / )
anopen-sourcePythonlibraryusedforenvironmentalandconser-
vation dataanalyseswasused to identifytransitions between wet
anddryseasons.Usingstd_ndvi_valsfunctionintheEcoscopetool,
weextractedstandardizedNDVI(NormalizedDifferenceVegetation
Index)valueswithinthestudyarea.NDVIvaluesrangebetween−1
and1;withvaluescloserto1representinghigherproductivity(i.e.,
wetseasons)andvaluescloserto−1representinglowerproductiv-
ity(i.e.,dryseasons).NDVIreflectsactualchangesinvegetationat-
tributes,therefore,itmaybeconsideredabetterproxyforseasonal
changes,thanrainfalldata.TheNDVIvalueswereextractedforthe
wholestudyperiod(2001–2021).Theval_cutsfunctionwasusedto
calculatetheseasonaltransitionpoint,whichisthepointwherethe
NDVIvalueschangefromincreasingtodecreasingorviceversa.The
seasonalwindowsfunctionwasthenusedtodeterminetheseasonal
time windows. The output was a data frame containing each sea-
son's start and end dates, along with a label foreach season.The
seasonaltimewindowsdataframewasexportedtoaCSVfile.The
season'sdatawereusedtodeterminewhetheranelephantlocation
fixwasduringthewetordryseasons,hencesplittingtheelephant
movementdata intotwo (Figure 3).Thiswasachievedbyassigning
anelephantlocationGPSfixtimetoeitherwetordrydependingon
the season.
2.3 | Data analyses
TheAutocorrelatedKernelDensityEstimation(AKDE)methodwas
usedtoestimatetheindividualelephants'corearea(areasbounded
by50%isopleths)andtotalhomerangesize(areasboundedby95%
isopleths)forevery wet anddry instance in a year.Weconsidered
anyperiod lasting morethan80 days of continuous wet or drype-
riodsasa‘significant’wetordryinstance.Wetseasonsinthearea
typicallylast80 days,andtheareaexperiencestwowetseasons in
ayear.Therefore,anaverageyearwouldhavetwowetandtwodry
instances. AKDE was considered appropriate because it was de-
signed tobestatisticallyefficient whendealing withthecomplexi-
tiesand biasesofmodern movementdata,suchasautocorrelation
andmissingdata (Silvaetal., 2022). Semi-variancefunctions (SVF)
werecalculated for eachelephantto assessforrangeresidencyin
alldatasets(Calabreseetal.,2016).Rangeresidencyisanassump-
tionoftheAKDEapproach and isnecessary forthemethodto de-
fineahome rangeaccurately.Theelephantsusedinthis studyare
residents of the Samburu Laikipia ecosystem. We calculated the
WeightedAKDEc(or wAKDEc)tocater forwhen the devicehad a
malfunction, leading toGPS fixesshiftingfrom one fixperhour to
onefixper‘n’hours.Weestimatedtheseasonalhomerangeshiftin
relationtotheirproximitytoriversbycalculatingthedisplacement
ofthecentroidsofindividualelephantcoreareasduringthewetand
dryseasons.WeusedArcGIS(Esri,2011)tocomputethecorearea
FIGURE 2 Rangeextentofthe43
elephants(eachrepresentedbyarandom
color)trackedintheLaikipia-Samburu
ecosystem.
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centroids,whichwere calculated using thecentreofgravity algo-
rithm (Ba rtlett e t al., 2016). Th e centroids' coor dinates were the n
extractedandusedtodeterminetheshiftintheindividualelephant
core areas a cross seasons. A rcGIS was also u sed to calculate t he
distancefromthecentroidstotheriver.Thisanalysis allowedusto
quantifyandcomparethemovementpatternsofelephantsbetween
thedryandwetseasons,providinginsightsintohowtheircoreareas
change in response to seasonal changes.
Generalized line ar mixed models (GLMMs) with Gamma error
struc ture and log link f unction were t hen used to test t he effect
ofseason and sex ofindividual elephants on boththe total home
rangeandcoreareas.AllourmodelsincludedelephantIDasaran-
domeffecttoaccountforrepeatedsamplingofindividuals'(multiple
tracki ng instances). To account for di fferences in sampling ef fort
(differences in thenumber of daysper tracking instance), we have
included sampling days per instance as an offset in our models.
Wefittedall ourmodelsusing the generalized linear mixed effect
model ‘glm er’ function of t he ‘lme4’ package ( Bates, 2010; B ates
et al., 2015). Generalized linearmodel(GLM) wasused to test the
effect of season and sex on seasonal home range shift in relation
to their pr oximity to river Ewaso N gi'ro. Similarly, to accoun t for
differencesinsamplingeffort,wehave includedsamplingdaysper
instanceasanoffsetin our models. Akaike's Information Criterion
(AIC) Weighting was used for model averaging and to evaluate
suppor t for competing ra nging behavior mo dels. Model sele ction
andaveragingwereperformedusingtheRpackageMuMInversion
4.2.0(Barton,2016).AllstatisticalanalyseswereperformedusingR
(RCoreTeam,2021),andalltestswerecarriedoutatasignificance
levelof0.05.
3 | RESULTS
Atotal of 771,919hourlyGPS fixes were collectedduringthe dry
seasonand990,772duringthewetseason.Thesedatarepresented
340individual seasonsacross2001–2021.Allindividualelephants'
coreareasrangedbetween3and1743 km2,whereasthetotalhome
range ra nged betwee n 15 and 10,677 km2. Base d on AICc value s,
thebestranking models included season only,and season and sex
asthebestpredictorsoftotalhomerangesize,aswellascoreareas
(Table 1).Weconsideredthelatermodel(includingseasonandsex)
becauseitalignsbetterwith theoreticalexpectations.Onaverage,
the core (50 % isopeth) home r ange size was 67% (101 km2) larger
during wetthan thedry season ( χ2 = 21.06,p < .001).Similarly,the
total home range size was 61% (521 km2) larger during wet than
thedryseason( χ2 = 15.45, p < .001).Sexdidnotinfluence the indi-
vidualelephant'scoreareaandhomerangesize(χ2 = 0.63,p = .429;
χ2 = 1.07,p = .300respectively,Figure 4).
FIGURE 3 Rangeextentofelephants
duringthewetanddryseasonsfromGPS
trackingdatacollectedfrom43individuals
intheLaikipia-Samburuecosystem.
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Onaverage,thecoreareacentroidsforallelephantswere17 km
awayfromthenearestriver(range0.2–150.3 km).Femaleshadtheir
coreareasclosertotheriverthanmales(13.5vs.27.5 km).Basedon
AICcvalues,thebestrankingmodelincludedseasonandsexasthe
bestpredictorofhomerangeshift(Table 1).Femalesdifferedfrom
males in their response to seasonal variation ( χ2 = 6.43, p = .011).
Females tended to occupyareasfarther from the riverduringthe
wetseason,whilemalesoccupiedareasfurtherfromtheriverduring
thedryseason(Figure 5).
4 | DISCUSSION
Understandingelephant rangingbehaviorinaridenvironmentscan
provideinsightintoecologicalconstraintsandrequirementsforthe
species.Wehadpredicted thatelephantswould havelarger home
rangesandcoreareasduringthewets eas ontha nduri ngthedrysea -
son,andthat maleswouldhaveoverall largerrangesthanfemales.
Wefoundevidenceinsupport of ourfirst prediction; but notthat
males have la rger home rang es than female s. Our predic tion that
elephantswouldshifttheirhomerangebasedonseasonswassup-
ported.Lastly,ourpredictionthat elephantswouldshifttheircore
areastooccupyareasproximatetotheriver(perennialwatersource)
duringthedryseasonwaspartiallysupported.
The differencesbetweenwet anddry season coreareas and
the home range size observedin thisstudycan be attributed to
increased dispersion of water and forage resources during the
wetseason, allowing elephants to utilize sectionsof the habitat
thatarenormallyavoidedduringthedryseason.Inourstudy,the
river Ewaso Ng 'iro is the only w ater source duri ng the dry se a-
son.However,numerousephemeralwaterpoolsbecomeavailable
duringthewetseason(Ihwagietal.,2010)resultinginhigh-quality
forageresourcesbecomingmoreavailableawayfromtheriver,im-
plyingt hatel ephant scantakelongforaysawayfromtheriver. Our
findingsconcurwith several other studies thathave shownthat
elephantstendtoreducetheirhomerangesduringthedryseason
byconcentrating their foraging activitiesin areasclose towater
(ChamaillÉ-Jammesetal.,2007;deBeeretal.,2006; Leggett , 2006;
Osborn&Parker,2003;Owen-Smith,2004;Redfernetal.,2003;
Smit et al. , 2007). The ef fect of seasona l shrinking and ex pan-
sionofelephanthomerange warrants subsequentinvestigation.
One possi bility is that re duction in hom e range size during th e
dryseasonmayconcentrateelephantbrowsingdamagetosmall-
isolated patches, significantly impacting vegetation. However,
TAB LE 1 Candidatemodelsofthetemporalvariationofthe
elephantrangingbehaviorinrelationtotheseasonintheLaikipia-
Samburuecosystem,Kenya,2001–2021.
Model AICc Delta
Totalhomerangesize Season 5 089.15 0
Sex + season 5090.14 0.99
Season * sex 5092.17 3 .027
15101 .97 12.819
Sex 5102.95 13.802
Coreareasize Season 3918.16 0
Sex + season 39 19. 59 1.433
Season * sex 3921.45 3.291
13936.21 18.055
Sex 39 3 7. 6 3 19. 476
Coreareashift Sex * season 2195.84 0
Sex 2197. 95 2.119
Sex + season 2200 4.168
12226.39 30.55
Season 2227.12 31.29
Note:Allmodelsincludedelephantidentificationasarandomfactorand
thenumberofdayspertrackinginstanceasanoffset.
FIGURE 4 Seasonaldifferencesin
predicted(a)totalhomerangeand(b)core
areasofelephantsinLaikipia-Samburu
ecosystem.Predictedhomerangevalues
areobtainedfromourbest-candidate
model.Errorbarsrepresentstandard
errors(±oneSE).
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such patch es may recover from h eavy browsin g once elephant s
disperseduringthewetseason.
Theobservedincreaseinhome rangeandcoreareasizeduring
thewetseasonwasconsistentforbothmaleandfemaleelephants.
These f indings concu r with an earlie r study that sh owed that the
home ran ge of sexually imm ature males, n on-musth , sexually ma-
turemales,andfemalesissimilar(Whitehouse&Schoeman,2003).
However,sexually active males have been reported to have more
extensivehomerangesthanfemales(Barnes,198 3; Leggett, 2006;
Poole&Moss,1989;Tayloretal.,2020;Viljoen,1989;Whitehouse&
Schoeman,2003).Inourstudy,wedidnotaccountforthereproduc-
tivestatusof individual elephants. However,we expect suchsimi-
laritiescould bemootedbecause theSamburu-Laikipia ecosystem
experiences longdry periods,and bothmales'and females' move-
mentsarelimitedtoareasnearwaterpointsduringthedryseason.
Thisstudyshowedthatonaverage,femalestendedtooccupy
areas further fromthe river during the wet season,while males
occupiedareasfurtherfromtheriverduringthedryseason.This
isbecauseduringthedryseasonstheresourcesavailable,thatis,
waterand food,become limited.Therefore, for the freeroaming
adultmaleelephantsmustmoveawayfromtheriverinsearchof
food. In t he wet season, ma le elephant s prefer to stay cl ose to
theriver.Thisisbecauseoftheavailabilitywaterandhighquality
forage near theriverduringthe wet season withthe consistent
needtodrinkwateraselephantrequiredrinkingwatereveryone
or2 days(Douglas-Hamilton,1973).Shannon concurred withthe
resultsasshenotedthatelephantsareattractedtohabitatsnear
rivers anddams,which notonly provide drinking water but also
anabundanceof forage(Shannonet al., 2006).Astudydone by
Leggettfoundsimilarresultswithdistinctseasonalmovementof
collared elephantsbetween theirwetand dryseasoncore areas
(Leggett, 2006). However, Viljoen reported that the elephants
of the northwestrestrict themselves to seasonalranges within
their individual home ranges, irrespective of higher rainfall or
riverfloodsinareasadjacenttotheirhomeranges(Viljoen,1989).
During thedryseason,female elephants are morelikely toshift
their core a rea to occupy area s near the river, wher e water re-
sources are moreavailable becausefemaleelephants'movement
isrestrictedbydependentcalves. Thisexplainswhyfemaleshad
their core areascloser to theriverthan males.This seasonal be-
haviorunderscorestheimportanceofriversandwatersourcesfor
the Samburu-Laikipia ecosystem elephants' sur vival and move-
mentpatterns.
TheAKDEhomerangesobservedforGPS-collaredelephants
intheLaikipia-Samburuecosystemrangedfrom22to10,677 km2.
Thehomerangesizesofthisstudyarecomparabletohomeranges
reportedinotherstudies(Table 2).Themaximumareaofthetotal
home ran ge for the female r eported in t his study is 10,677 k m2
while the t otal home rang e for males in this s tudy is 6921 km2.
The large home ranges are comparable to the desert-dwelling
elephan ts of Mali with an ap proximate home ra nge of 11,500–
23,980 km2 (Wall et al., 2013) as they had larger home ranges
thanpreviouslyreportedforsavannaelephants.Thelargerhome
ranges of elephants in northwest Namibia probably reflect the
typeandqualityofavailablevegetation(Viljoen,1989).Thelarge
homerange sizesreportedinthis studycould be because of the
unpredictableavailabilityofwater.Secondly,foodavailabilitymay
belimited,thusforcinganimalstomoveoverawiderareaand/or
th e s p atiald i s tributio n ofhab i t a tt y p e sofh i ghernu t r i t ionalq u a l it y
mayresultinawiderareabeing traversed. Thehomerangesizes
determinedbyradio-trackingcollarswereusuallylargerthanthe
onesrevealedbyvisualidentification(Leuthold,1977 ).Thesmall
homerange sizeofsomeelephants couldbe because ofphysical
barrie rs therefore con fining them to a sm aller range of habi tat.
Thehomerangesizesof14to52 km2fortheAfricanelephantat
LakeManyara NationalPark,Tanzania(Douglas-Hamilton,1972)
FIGURE 5 Seasonaldifferencesinpredictedcoreareashift
ofelephantsinLaikipia-Samburuecosystem.Predictedcorearea
valuesareobtainedfromourbestcandidatemodel.Errorbars
representstandarderrors(±oneSE).
TAB LE 2 Autocorrelatedkerneldensityestimation(AKDE)home
rangeestimatesofelephantsfromBukitTigapuluh,Khaudum,
Etosha,Zambezi,andKunene.
Region
Home range size
(km2)References
BukitTigapuluh,Indonesia 275–518 0 Moßbrucker
etal.(2016))
KhaudumNationalPark,
Namibia
3000–12,000 Benitez
etal.(2022)
EtoshaNationalPark,
Namibia
280–38,000 Benitez
etal.(2022)
Zambezi,Namibia 1400–25,000 Benitez
etal.(2022)
Kuneneregionof
northwesternNamibia
1500–37,000 Benitez
etal.(2022)
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KURIA et al.
couldbeimposedbythedensevegetationinthepark,likelypro-
vidingahighdensityofforageforelephants.
Sambur u-Laikipia e cosystem is amon g the many ecosys tems
worldwidethat are facing increased fragmentation. Factors con-
tributingtosuchfragmentationincludeintensiveagriculture,over-
grazing , conversion of large a reas to human sett lements, ill egal
logging,urbanization,etc.Suchfragmentationwilllikelyaffectthe
distributionpatterns ofelephantsandotherherbivoresin these
systems . The future clima tic projections s uggest an increa se in
droughtfrequencyandseverityintheregion(GebremeskelHaile
et al., 2019).Such changesmayhavesevere implicationsforele-
phantsaswellasotherbiodiversity.Elephants,amongotherspe-
cies,co ntra c tth eirran getor emainn earperm ane ntw ate rso urces.
Spendingmoretimeinthevicinityofwaterintensifiesthebrows-
ingpressure inthoseregionsandmaycauseremarkable changes
invegetationcoverandcomposition.IntheLaikipia-Samburueco-
system,EwasoNg'iroRivertendstoretainwaterfor aprolonged
perioddur ingdr ought ,at trac tinga nimal sf romdi fferentr egion sto
thearea.Conservationeffortsshouldfocusonmaintaininganet-
workof conservationareasthatislargeenoughtoaccommodate
seasonalexpansion inhomerangeor migrationofanimalswhile
stillmaintainingaccesstocriticalresourcessuchaswateranddry
seasonforaginghabitats.
In conclusion, the behavioral patterns of elephants in the
Samburu-Laikipia ecosystemare intricately tiedto seasonal varia-
tions.Thewetseasonpromptstheexpansionofhomerangeaswater
and food resources become more abundantacross the landscape.
Contrarytoour predictions,male elephantsdidnotexhibitsignifi-
cantly larger homerangesthan females, indicatingthat females as
well as males demonstrate the use of vast areas. The prolonged
dry pe riods in the La ikipia-Sambu ru ecosyste m facilitate el ephant
home rangeshifts acrossseasons. Thisraisesquestions about po-
tentialtrade-offsbetweenforagingnearwateringpointswithlower-
qualityresourcesandembarkingoncostlyjourneystodistantfood
patches.Given these challenges, theL aikipia-Samburuecosystem
necessitates tailored conservation strategies such as protection
andmanagementof movementcorridors,communityengagement
andeducation,habitatrestorationamongothersthatwouldensure
thelongevityofelephantpopulationswhilesafeguardinglandscape
connectivityand crucialmovementcorridors,addressingbothim-
mediateandlong-termthreats.
AUTHOR CONTRIBUTIONS
Loise W. Kuria: Conceptualization(equal);datacuration(lead);for-
mal analysis (lead); methodology (equal); writing – original draft
(lead); writing – review and editing (equal). Duncan M. Kimuyu:
Conceptualization (equal); data curation (equal); formal analysis
(equal); me thodolog y (equal); writi ng – review and edi ting (equal).
Mwangi J. Kinyanjui:Fundingacquisition(supporting);writing–re-
viewandediting(supporting).George Wittemyer:Writing–review
and editing (equal). Festus W. Ihwagi: Conceptualization (equal);
data curation (equal); formal analysis (equal); funding acquisition
(lead);methodology(equal);writing–reviewandediting(equal).
ACKNOWLEDGEMENTS
Wethankeveryonewhocontributed to this research paperinone
way or anoth er.Wi thout your sup port, this w ork would not have
been accomplished. Wethank Save the Elephants and the Center
for Mountain and Climate Change for providing the financialsup-
porttopursuethisstudy.Tomyfellowcolleagues,AlfredKibungei,
PaulMunene,andRobertAng'ilaIacknowledgeandappreciateyour
support.
CONFLICT OF INTEREST STATEMENT
Thecorrespondingauthorconfirmsonbehalfofallauthorsthatno
involvementsmightraisethequestionofbiasinworkreportedorin
theconclusions,implications,oropinionsstated.
DATA AVAIL AB I LI T Y STATE MEN T
Thedata onhome rangesize and shift acrossseasonsare publicly
available on the Dryad website (h t t p s : / / d o i . o r g / 1 0 . 5 0 6 1 / d r y a d .
djh9w0w77). GPS positions of elephant distribution are ethically
restrictedasthelocationsmayjeopardizetheanti-poachingopera-
tionsand thusputelephants atgreaterrisk. The dataarehowever
available on written request from the Office of Senior Assistant
DirectorofKenyaWildlifeService.
ORCID
Loise W. Kuria https://orcid.org/0009-0000-4422-7029
George Wittemyer https://orcid.org/0000-0003-1640-5355
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SUPPORTING INFORMATION
Additional supporting information can be found online in the
SupportingInformationsectionattheendofthisarticle.
How to cite this article: Kuria,L.W.,Kimuyu,D.M.,
Kinyanjui,M.J.,Wittemyer,G.,&Ihwagi,F.W.(2024).
Seasonalvariationintherangingbehaviorofelephantsinthe
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