ContentslistsavailableatScienceDirect
Agricultural
Water
Management
j o ur na l h o me p a g e :w w w . e l s e v i e r . c o m / l o c a te / a g w a t
Water
use
by
a
groundwater
dependent
maize
in
a
semi-arid
region
of
Inner
Mongolia:
Evapotranspiration
partitioning
and
capillary
rise
Yao
Wu
a,
Tingxi
Liu
a,∗,
Paula
Paredes
b,
Limin
Duan
a,
Luis
S.
Pereira
baCollegeofWaterConservancyandCivilEngineering,InnerMongoliaAgriculturalUniversity,Hohhot010018,China
bLEAF-Landscape,Environment,AgricultureandFood,InstituteofAgronomy,UniversityofLisbon,TapadadaAjuda,1349-017Lisbon,Portugal
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received22September2014
Accepted20January2015
Availableonline11February2015
Keywords:
SIMDualKcmodel
Groundwatercontribution
Dualcropcoefficients
Croptranspiration
Soilevaporation
Groundwaterdependentecosystems
a
b
s
t
r
a
c
t
Thisstudyaimedatassessingthesoilwaterbalance,groundwatercontribution,croptranspirationand soilevaporationofarainfedmaizecropinHorqinsandyarea,north-easternInnerMongolia,China. TwoyearsoffielddatafromtheAgulasitewereused,2008withrelativelyhighrainfall(363mm)and highwatertable,and2009withlowrainfall(125mm)andlowerwatertable.TheSIMDualKcwater balancemodelwascalibratedwithobservedsoilwatercontentdataof2008andvalidatedwithdata of2009.Themodelusesthedualcropcoefficientapproachforevapotranspiration(ET)partitioning, andparametricfunctionsforcomputingcapillaryrise.Therespectivemodellingresultsshowthatthe groundwatercontributionrepresentedca.50%ofcropETinbothyears.Estimationerrorsaresmall, withrootmeansquareerrorsof0.007and0.008cm3cm−3respectivelyin2008and2009.TheNashand
Sutcliffemodellingefficiencywerehigh,0.93inbothyears,whichindicatesalowvarianceofresiduals. ThecalibratedbasalcropcoefficientKcbmid=0.95denotesalowdensityofthecropbecauseitismuch
lowerthancommonpotentialvalues.Soilevaporationwasrelativelylow,23%ofETinthewetyearand 17%inthedryyear,becausecapillaryrisedoesnotcontributetosoilevaporationbuttorootsextraction only.Resultsshowthatcapillaryriseplaysamainroleinsupplyingthevegetationthroughouttheseason, henceastrongdependenceofvegetationupongroundwater.
©2015ElsevierB.V.Allrightsreserved.
1. Introduction
TheHorqinsandyland(hereafterHorqin)isthelargestofthe foursandylandswithactivedunesofInnerMongolia.It hasan areaof12,500km2andislocatedineasternInnerMongolia.Itisan
ecologicallyfragilearea,wherewinderosionisveryactive(Lietal., 2004)andtheprocessofdesertificationisimportant(Zhaoetal., 2006).Thesesandylandareasareuniqueeco-systemsconsidering climate,geo-hydrologicalconditions,physicalgeographyandland andwateruse(Duanetal.,2011a).
Research hasbeendeveloped in Horqinrelative to the eco-hydrologicalprocessesandtheirrelationswithvegetationandsoil (Duanetal.,2011a,b;Zhaoetal.,2009;Zuoetal.,2009).The veg-etationinHorqinconsistsofpioneerspeciesinthemobilesandy dunes,shrubsandherbaceousvegetationinsemi-fixedandfixed sandydunes,forestsinsandysoilsoflowlands,andcroplandsand grasslandsinmoreflatlandswithsandyloamsoils.Vegetation eco-typesvarywithsoilmoistureanddepthoftheshallowgroundwater
∗ Correspondingauthor.Tel.:+8613947116156.
E-mailaddresses:[email protected](Y.Wu),[email protected](T.Liu).
(MaandLiu,2007;Shietal.,2007).Zhengetal.(2012)assessed theimportanceofgroundwaterforvarioustypesofvegetationand theroleofvegetationtypesongroundwaterdecline.However,the observationsofthetime variabilityof thesoil watercontentat varioussoildepthsandfordiversevegetationtypeswerenot fol-lowedbyanadequatesoilwater balance.Therefore,despitethe recognizedimportanceofsoilwaterandgroundwaterforthe vari-ousvegetationtypes,knowledgeonthevariouscomponentsofthe waterbalanceandestimatesoftheshallowgroundwater contribu-tion(GWC)toevapotranspiration(ET)arelacking.
Zhangetal.(2009)observedthatfarmlandexpansionisamajor cause of steppe loss in northern China. In Horqin farmland is increasingwithanaverageannualrateof1.03%,mainly replac-ingsteppegrasslandbymaize.Baganetal.(2010)reportedthat theareaofcroplanddoubledoverthelastthreedecades.In par-allel,otherstudiesreferthedeclineoftheshallowgroundwater associatedwithlandusechanges,includingirrigatedcrops(Zhang andZhao,2003;Zhaoetal.,2009;Zhengetal.,2012).InHorqin, maizewater usestudiesreferonlytoirrigation(Lietal.,2003; Tanget al., 2011).No studies have beenperformed onrainfed maizesupplied byshallowgroundwater.Therefore, thereisthe needforbetterunderstandingtheprocessesrelativetowateruse http://dx.doi.org/10.1016/j.agwat.2015.01.016
byagroundwater-fedmaizecrop,thusperformingawaterbalance studyfocusedontheroleoftheshallowgroundwaterandonthe cropevapotranspirationdynamics.
Theimportanceofshallowgroundwaterfor sustaining vege-tationhas beenassessed in severalwater balancestudies with lysimetersthatevidencedthedependencyofvariousecosystems andcropsystemsfromshallowgroundwater(Kahlownetal.,2005; Kowalik,2006;Gowingetal.,2009;LiuandLuo,2011).However, modelswerenotusedinthesestudies.Differently,various deter-ministicmodelshavebeenusedtoassesstheGWCbysimulating theupwardfluxesfromthewatertable,e.g.,RZWQM(Stulinaetal., 2005),WAVE(Liuetal.,2006), HYDRUS-1D(Soyluetal.,2011), andSWAP(Xuetal.,2013).Stochasticapproacheswerereported, amongothers,byVervoortandVanderZee(2008)andTameaetal. (2009).Modelsreferredaboveareabletoproducegoodestimates ofGWCbutmaybehighlyexigentintermsofsoilwaterdata,and requireappropriateobservationofthesoilwatercontentandof thesoilwaterpotentialfortheircalibrationandtesting.Differently, whenusingasoilwaterbalancemodelonlythebasicsoilhydraulic propertiesarerequiredandthemodelmaybecalibratedusingonly soilwatercontentobservationdata.Thisisthecaseoftheapproach developedbyLiuetal.(2006)thatderivedfromtheWAVEmodela setofparametricequationsforsimulatingupwardanddownward fluxesthroughthebottomoftherootzoneofacroppedsoil.These parametricequationswerethenintegratedinthewaterbalance modelISAREGthatproducedgoodestimatesofcropETinpresence ofshallowwatertables(Pereiraetal.,2007;Cholpankulovetal., 2008).Thoseparametricequationsarepresentlyintegratedinthe waterbalancemodelSIMDualKc,formerlytestedwithamaizecrop inpresenceofashallowwatertable(Rosaetal.,2012b).
TheSIMDualKc(Rosaetal.,2012a)isnotonlyabletosimulate waterusebyacropinpresenceofashallowwatertable,buthasalso theadvantageofpartitioningcropET(ETc)intoactualcrop
transpi-ration(Ta)andsoilevaporation(Es)usingthedualcropcoefficient
approachproposedinFAO56(Allenetal.,1998).Modellingusing
thisapproachorforthequantificationofthegroundwater contri-butiontoEThasnotbeenappliedinInnerMongolia.Therefore, consideringtheimportance ofbetterunderstandingcropwater useinthefragileHorqinsandlandand,inparticular,theneedfor improvedknowledgeontheinteractionsbetweenvegetationand shallowgroundwater,thatmaysupportabetterpolicyonwater andlandscapemanagementinHorqin,theobjectivesofthisstudy consistof:(a)calibrationandvalidationoftheSIMDualKcmodelto assesswaterusecomponentsofrainfedmaize;(b)evaluatingthe groundwatercontributiontocropET;and(c)assessingimpactsof changesinwatertablelevelsonthedynamicsofmaizewateruse, transpiration,soilevaporationandgroundwatercontribution. 2. Materialsandmethods
2.1. Siteandcropcharacteristics
Thestudyareaislocatedin thesouthern Horqinsandyarea (43◦1848 to 43◦2124 N, 122◦3300 to122◦4100 E),in the Agulaeco-hydrologicalstudyarea,easternInnerMongolia(Fig.1). AsmappedinFig.1,themainvegetationtypebetweendunesis presentlycroplandfollowedbygrasslandmeadows, groundwater-fed(Duanetal.,2011a).Theduneshavevarioustypesofshrubs vegetation.The croplandis mainly occupiedwithmaize; other cropsaresunflower,blackbeansandmillet.Themaizefarmfield usedinthisstudywaslocatedwithinalargemaizecroparea.
Theclimateissemi-aridcontinentalwithcoldanddrywinter; accordingtotheKöppenclassification,theclimateisaBsk,cold aridsteppe(Kotteketal.,2006).Theaverageannualprecipitation is389mm,whichmainlyoccursduringthesummermonsoon.The temperaturevariesfrom−13◦CinJanuaryto24◦CinJuly(Duan
etal.,2011a).Anautomaticmeteorologicalstationisinstalledat about200mfromthemaize studysite. Observedweatherdata includedprecipitation(mm),airtemperature(◦C),relative humid-ity(%),windspeed(ms−1)withtheanemometerinstalledat2m
aboveground,andsunshineduration(h).Thesedatawereusedto computethereferenceevapotranspiration(ETo,mmd−1)usingthe
FAO-PMmethod(Allenetal.,1998).
Theclimatein theareais dryand windy.Minimum relative humiditydataforbothcropseasonsof2008and2009showthat atmosphericdrynesswasparticularlyimportantbythespringand late summer(Fig. 2a). Windspeed was alsohigher during the sameperiods(Fig.2b).Duringsummer,duetomonsooneffects,air humidityishigherandwindspeedislower.Thus,becauseETois
highlyinfluencedbytheatmosphericdrynessandhighwindspeed, thehighestETovalues(Fig.2c)wereobservedduringspringandlate
summer,thusoutoftherainyperiods.Consideringthemaizecrop season,ETowashigherduringthedrieryearof2009and
precipita-tion(Fig.2c)wasmuchhigherin2008thanin2009,thusthestudy wasperformedundercontrastingclimateconditions.
Thesoilisasandyloamwhichmainsoilhydraulicpropertiesare summarizedinTable1.Thesoilwatercontent(SWC,cm3cm−3)
wassurveyed witha neutronprobe previously calibrated for a widerangeofsoilwaterdata;measurementswereperformedwith five-dayintervalsandthreereplications.Readingswereperformed forevery0.10muntilthewatertabledepth.LimitationsofSWC
observationsusing neutronprobesarediscussedby Allenetal. (2011)relativetosoildataacquisitionrequirementsandaccuracy, whichweresatisfiedinthecurrentstudyrelativetoETestimation. Thegroundwater depthwasobserved every 5–10days at a wellinstalledinthecentreofthefieldusingawaterlevel trans-ducer.ResultsinFig.3showthatin2008precipitationwasenough abundanttopercolatetothewatertableandkeepithigh.Onthe contrary,precipitationin2009wasinsufficientandthewatertable declinedthroughoutthecropseasonduetoplantrootsextraction. Springmaize(Zeamaysvar.Zhengdan958)wasplantedby10th ofMayonbothyearsandharvestedby1stand5thOctober, respec-tivelyin2008and 2009.Table2presentsthedatesofthecrop growthstages for both experimentalyears. Maindifferences in lengthsofcropstagesrelatetoclimateconditions.
Plantdensitywas52,500plantsha−1.Noirrigationwasapplied. Plantheight(h,m),leafareaindex(LAI)andfractionofgroundcover (fc)weresurveyedina1m2sampleareaevery10days;surveys
includedobservationsoftheeffectiverootdepth(Zr,m),whichdid
notexceed0.70m.Thus,modellingwasdevelopedconsideringa rootdepthof0.70m.Resultsforcropheightandrootdepthsare giveninTable3andthefccurvesareshowninFig.4.
Fig.2. Climaticcharacteristicsrelativetothecropseasonsof2008(left)and2009(right):(a)minimumrelativehumidity(%)( ),(b)windspeed(ms−1)( ),(c)daily
Table1
SoilhydraulicpropertiesoftheAgulamaizesite.
Layer Depth(cm) Layerthickness(cm) Fieldcapacity(cm3cm−3) Wiltingpoint(cm3cm−3)
1 0–30 30 0.22 0.08
2 30–90 60 0.20 0.07
Table2
Datesofthemaizegrowthstagesforeachseason. Season Cropgrowthstages
Initial Rapidgrowth Mid-season Late-season
2008 10May–09June 10June–14July 15July–08September 09September–01October 2009 10May–19June 20June–19July 20July–09September 10September–05October
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 05/05 25/05 14/06 04/07 24/07 13/08 02/09 22/09 12/10 Gr ound wa ter dep th (m)
Fig.3.Groundwaterdepthvariationduringthemaizecropseasonsof2008(–•–) and2009(––).
Table3
Cropheight(h)androotdepth(Zr)throughoutthecropgrowthstages. Initiation Startrapid
growth Start mid-season Start Late-season Harvest 2008 h(m) 0.01 0.50 1.70 1.95 1.90 Zr(m) 0.20 0.25 0.70 0.70 0.70 2009 h(m) 0.01 0.50 1.65 1.85 1.80 Zr(m) 0.20 0.30 0.70 0.70 0.70 2.2. SIMDualKcmodel
The SIMDualKc model (Rosa et al., 2012a) performs the soil water balance at field scale with a daily time step. For
evapotranspirationcomputations,itappliesthedualcrop coeffi-cientapproach(Allenetal.,1998,2005),thuspartitioningETcinto
soilevaporation(Es),andactualcroptranspiration(Ta).Themodel
hasbeenpreviouslycalibratedandvalidatedformaizeinpresence ofashallowwatertableinPortugal(Rosaetal.,2012b),for mon-soonconditionsintheNorthChinaPlain(Zhaoetal.,2013),and forsprinklerandtrickleirrigationinBrazilandPortugal(Martins etal.,2013;Paredesetal.,2014).ThepartitionofETcwastestedin
previousstudies,namelyforsoilevaporationbyZhaoetal.(2013) andfortranspirationbyPac¸oetal.(2014).
Thedailysoilwaterbalanceoftherootzonemaybedescribed as:
Dr,i=Dr,i−1−(P−RO)i−Ii−CRi+ETc,i+DPi (1)
whereDr,iandDr,i−1aretherootzonedepletion[mm]attheend
ofdayiandi−1,respectively,Piisprecipitation,ROiisrunoff,Ii
isnetirrigationdepth,CRiiscapillaryrisefromthegroundwater
table,ETc,iiscropevapotranspiration,andDPiisdeeppercolation,
allreferring to dayiexpressedinmm. In this applicationIi=0
becausethecropwasnotirrigatedandROi=0becausethelandis
flatandrunoffwasnotobserved.Themodeloutputsconsistofthe dailytermsofthesoilwaterbalance,thusET,netirrigation,crop transpiration,soilevaporation,deeppercolationandgroundwater contribution.
WhentheSWCintherootzonefallsbelowthesoilwater thresh-old SWCp correspondingtothedepletionfraction fornostress
(p),i.e.,SWC<SWCp,thentheactualevapotranspiration(ETcact)
issmallerthanETcandisestimatedas:
ETc act=(KsKcb+Ke)ETo (2)
where ETcact is the actual crop ET (mmd−1), Kcb is the basal
cropcoefficient,Ke is the soilevaporationcoefficient, Ks is the
waterstressreductioncoefficient,andEToisthereference
evapo-transpiration(mmd−1).Ksiscomputeddailyfromcomparingthe
availablesoilwaterwithSWCp,thusKs=1.0ifSWC≥SWCp,
oth-erwiseKs<1.0dependinguponthewaterdeficitinthesoil(Allen
etal.,1998;Rosaetal.,2012a).TheproductKsKcbrepresentsthe
actualKcbrelativetotheactualsoilwaterandenvironmental
con-ditions(Kcbact).Thus,theactualcroptranspirationisTa=KsKcbETo
andsoilevaporationisEs=KeETo.
Kcbandpareinputparametersthataresubmittedtocalibration.
TheinputKcbisadjustedtoclimateconditions(minimumrelative
humidityandwindspeed)followingAllenetal.(1998)andtocrop densityasafunctionofthefractionofgroundcoveredbythecrop (fc,Fig.3)andcropheight(h,Table3)usingtheprocedureproposed
byAllenandPereira(2009).
Keiscomputedafteradailywaterbalanceoftheevaporative
layerofthesoil,takingintoconsiderationfcandtheevaporative
characteristicsof the soil (Allen et al., 1998,2005; Rosa et al., 2012a).Thetwo-phasesRitchie’s model(Ritchie,1972)is used, whichassumesafirstphasewhereevaporationisenergylimited andasecondphasewhereevaporationislimitedbytheavailable soilwater.Thecumulatedevaporationattheendofthefirstphase isnamedreadilyevaporablewater(REW,mm),whilethatattained attheendofthesecondphaseisthetotalevaporablewater(TEW, mm).REWandTEW,aswellasthethicknessoftheevaporative layer(Ze,m),areobjectofcalibrationanddependupon thesoil
hydraulicproperties(Allenetal.,1998,2005).Furtherdescriptions ofthemodelareprovidedbyRosaetal.(2012a).
Theparametricequationsusedforestimationofthedaily cap-illaryriseanddeeppercolationfluxesarethoseproposedbyLiu etal.(2006).TheactualCRfluxes(mmd−1)areestimatedusing dataontheactualwater tabledepth(Dw,m),actualsoil water
storage(Wa,mm),potentialevapotranspiration(ETc,mmd−1)and
potential(maximum)capillary rise(CRmax,mmd−1).Theactual
dailyCRfluxiscomputedproportionallytoCRmaxdependingupon
ETc,Dw and Wa (mm). CR reducesrelative to CRmax when the
rootzonestorageWaishigh,orthedepthDwofthewatertable
increases,and/orETcdecreases.Theparametersrelativetowater
storage(a1,b1,a2,b2),totherelationshipsbetweenDw andETc
(a3,b3),andtotheCRmaxcalculation(a4,b4)havetobecalibrated
takingintoconsideration thelocalsoil and watertable charac-teristics(Liuetal.,2006).Setsof parametervalues forsilty,silt loamand sandyloamsoilswere proposedbyLiu et al.(2006), whichmaybeusedasdefaultvaluestoinitiatetheparameters’ calibration.TheDPflux(mmd−1)iscomputedusingatimedecay functionrelatingthesoilwaterstoragenearsaturationwiththe timeaftertheoccurrenceofaheavyrainorirrigation(Liuetal., 2006). The corresponding parameters (aD, bD) also need to be
calibrated.
TheinputdatarequiredbySIMDualKcconsistsof:
(a)Meteorologicaldailydataonprecipitationandreference evapo-transpirationETo,minimumrelativehumidity(RHmin,%),and
windspeedat2mheight(u2,ms−1).
(b)Soilwatercontentdataatfieldcapacityandwiltingpointfor thevarioussoillayersoftherootzone(Table1).
(c)Cropdataondatesofcropgrowthstages–initial,crop develop-ment,mid-season,lateseasonandendseason(Table2);basal cropcoefficients (Kcb)andsoil waterdepletionfractions for
non-stress(р)fortheinitial,mid-seasonandend-seasonstages, whichneedtobecalibrated;rootdepths(Zr,m),plantheight
(h,m)andfractionofgroundcover(fc)alongthecropseason
(Table3andFig.4).
(d)SoilevaporationdataonREWandTEW(mm),anddepthZe
[m] oftheevaporablelayerasdefinedabove,whichrequire calibration.
(e)Groundwatercontributionanddeeppercolationdatarelative towatertabledepths(Fig.3)andLAIvaluesatvariousdates
alongthecropseason,andtheCRandDPparameterspreviously mentioned,thatrequirecalibration.
Whenusedforirrigation,themodelrequiresdataonirrigation depthsanddates,orrelativetovariousirrigationoptions.Ifrunoffis likelytooccur,thecurvenumberCN(Allenetal.,2007)isrequired forcomputingRO(mm).
2.3. Modelcalibration,validationandperformanceassessment Simulationofannualcropsstartsonthedayofplantingand restartsattheplantingdayeveryyear.Themodelisinitializedevery yearofthecropseasonwithselected/calibratedparametersand, forthatinitialday,withanestimated/observedinitialvalueofthe soilwatercontentandofthewatertabledepth.Theparameters usedtoinitializethemodelconsistoftheinitial(default)setwhen startingwiththecalibration,orthecalibratedsetwhenperforming validationorusingthemodelinanyapplicationstudyorpractice, e.g.,simulatingalternativewatermanagementoptions.
The calibration procedure of the SIMDualKc model aims at obtainingcropparameters(Kcbandpforeachcropgrowthstage),
soilevaporationparameters (Ze,TEWandREW) andCRandDP
parameters (asdescribed before) that minimizethedifferences betweenobservedandsimulatedsoilwatercontentintheentire rootzone.AsforotherreferredSIMDualKcapplications(e.g.,Rosa etal.,2012b;Martinsetal.,2013;Zhaoetal.,2013;Paredesetal., 2014),thecalibrationprocedurestartedbyselectinganinitialset ofcrop,soilevaporation,CRandDPparametersthatcorrespondto thecharacteristicsofthecropandsoilunderconsideration.An iter-ativetrialanderrorsearchprocedure(T&E)wasdevelopedaimed atprogressivelyreducingtheresidualerrorsofsimulation.TheT&E procedurewasusedtofirstsearchforimprovedvaluesforKcband
p.Whenerrorsbecamesmall,T&EwasappliedtotheCRandDP parametersuntilanacceptablematchofobservedandsimulated SWCvalueswasobtainedalongwithreducederrors.Thenthe pro-cedurewasappliedtothesoilevaporationparametersandlaterto refinetheestimationoftheKcbvalues.
Thecalibrationwasperformedwithdataof2008andthe vali-dation,usingthepreviouslycalibratedparameters, withdataof 2009.Twoyearsofdataprovidefortwoindependentdatasets,one forcalibrationandtheotherforvalidation.Theadequatenessof calibratingandvalidatingSIMDualKcwithonlytwoyearsdatawas discussedbyMartinsetal.(2013)inlightofrecommendationsby SinclairandSeligman(2000)oncropmodels.AbiSaabetal.(2015) haveshownthatcalibrating acropwater modelforanyamong three years of observations led to similar model performance, whichsupportsusingoneyearforcalibrationandthesecondfor validation.Inaddition,recommendationsaboutdatarequirements (Allenetal.,2011)werefulfilledandthemodelcalibrationwas initiatedwithadequatedefaultparametersaspreviouslyanalyzed (Rosaetal.,2012b).Twoyearsofdatawerethereforeconsidered sufficientinthisapplication,particularlytakingintoconsideration thatthesetwoyearshadcontrastingclimateandwatertabledepths (Figs. 2c and 3), thus allowing to assess maize water use and groundwatercontributionforawiderrangeofobserveddata.
Toassessthegoodness-of-fitofthemodellingapproachseveral indicatorswereselectedasappliedanddefinedin former stud-ies(Rosaetal.,2012b;Martinsetal.,2013;Zhaoetal.,2013).The followinggoodness-of-fitindicatorswereadopted:
(a)The parameters of the linear regression forced throughthe origin relating observed and simulated SWC data, i.e., the corresponding regression coefficient (b) and determination coefficient(R2).bcloseto1meansthatthepredictedvalues
1.0indicatesthatmostofthevarianceoftheobservedvaluesis explainedbythemodel.
(b)Therootmeansquareerror(RMSE),theaverageabsoluteerror (AAE),theaveragerelativeerror(ARE),andthemaximumerror (Emax),whicharestatisticalmeasuresoftheestimationerrors
(unitsasforthevariableunderfitting).
(c)Themodellingefficiency(EF,non-dimensional),proposedby NashandSutcliffe(1970),thatdeterminestherelative magni-tudeoftheresidualvariancecomparedtothemeasureddata variance.EFcloseto1.0indicatesthatthevarianceof residu-alsismuchsmallerthanthemeasureddatavariance,contrarily whenEFis≤0(Moriasietal.,2007).
(d)The Willmott (1981) index of agreement (dIA,
non-dimensional), that represents the ratio between the mean square error and the “potential error”. dIA=1.0 indicates
perfect agreement and dIA=0 indicatesnoagreement atall
between the observed and predicted values (Moriasi et al., 2007).
3. Resultsanddiscussion
3.1. Modelcalibrationandvalidation
Asdescribedabove,thecalibrationoftheSIMDualKcmodelfor rainfedspringmaizewasperformedbyminimizingthedifferences betweenobservedandsimulatedSWCdatafrom2008crop sea-sonwhilethevalidationwasperformedwith2009data.Resultsof comparingtheobservedandsimulatedSWCshownobiasinthe simulations(Fig.5).
Table4showstheinitial/defaultandcalibratedparameters rel-ativetothecrop(Kcbandp)andtosoilevaporation(TEW,REW,
a)
b)
0.00 0.05 0.10 0.15 0.20 0.25 0.30 SW C ( cm 3cm -3) θFC θp θWP 0.00 0.05 0.10 0.15 0.20 0.25 0.30 SW C ( cm 3cm -3) θp θFC θWPFig.5.Simulatedandobservedsoilwatercontent(SWC)fortherainfedmaizecrop
in(a)2008(calibration)and(b)2009(validation).LinesFC,WPandprefertoSWC
atfieldcapacity,wiltingpointandwhendepletionequalsthedepletionfractionfor
nostress,p.
Ze).TheinitialandcalibratedCRandDPparametersarepresented
inTable5.Itcanbeobservedthattheinitialsetsofcropandsoil evaporationparameterswereclosetothecalibratedones. Differ-encesbetweeninitialandfinalvaluesoftheCRandDPparameters arenotverylargeduetoagooduseofinformationproposedbyLiu etal.(2006).
Table 6 presents the goodness of fit indicators when the model was used with calibrated and initial/default parameters (Tables 4 and 5). When using calibrated parameters, results showregressioncoefficientscloseto1.0andhighdetermination coefficients of 0.93 for both the calibrationand the validation. Thevariationoftheobservedvaluesisthereforelargelyexplained by the model. Errors of estimate are small, with RMSE of 0.007cm3cm−3forthecalibrationand0.008cm3cm−3forthe
vali-dation,whileAREdidnotexceed4.0%.TheNashandSutcliffeEFare high,0.93forboththecalibrationandthevalidation,which indi-catesthattheresidualsvarianceismuchsmallerthanthemeasured datavariance,i.e.,themodelisagoodpredictorofthesoilmoisture dynamics.TheWillmotindicesofagreementareveryhigh,0.98, thusindicating thatthemeansquareerrorisquiteclosetothe potentialerrorduetomodelling.Goodness-of-fitresultsindicate thatSIMDualKcwasappropriatelycalibratedandtheparameter valuesmaybeusedwithconfidenceinfurthercroplandstudies inHorqin.Sinceparameterswereobtainedfortwoyearshaving contrastingclimateandwatertabledepths,theapplicabilityofthe calibratedparametersislikelygood.
Results using the default parameters are also presented in Table 6. They show that the model performance using default parameterswereacceptable.Thisindicatesthatthemodelmaybe appliedtoconditionswhendataisinsufficientforcalibrationas alreadynoticedinpreviousapplications(Rosaetal.,2012b). How-everresultsdependupontheappropriateselectionofthedefault parameters.
3.2. Cropcoefficients
ThecurvesofthecropandevaporationcoefficientsKcb,Kcbact,
KcactandKe(Eq.(2))arepresentedinFig.6togetherwiththedaily
precipitationdepths.KcbvaluesrepresentedinFig.6areslightly
differentfromthoseinTable4becausethelatterarethoseused asinputtothemodel,whilethoseinFig.6arealreadyadjustedto climateandtocropdensityandheight.
Theactualbasalcropcoefficient(Kcbact)isbelowthepotential
Kcbcurve(Fig.6)fortheinitialperiodinbothseasonsbecausethere
wasinsufficientrainandthecapillaryrisewasverysmallsince rootswerenotyetdevelopedandETwasverysmall.Thereforethe cropwaswaterstressed.CRincreasedonlyafterrootsdeveloped andtheirdistancetothewatertablebecamesmaller.In2008,the Kcbcurvecoincideswiththepotentialonebythemidofthecrop
developmentstage(Fig.6a)whentherewasenoughraintodevelop themaizecropandtorisethewatertable(Fig.3).Fromthereon bothrainfallandCRweresufficienttosustaincroptranspirationat itspotentiallevelandKcbactwasequaltothepotentialKcb.
Differ-ently,in2009,maizewasstressedfrommid-seasontoharvesting becauserainwasinsufficientandthewatertabledepthincreased (Fig.3), thus makingCR alsoinsufficient. Therefore, Kcbact<Kcb
duringmostofmid-season andthelateseasonuntilharvesting (Fig.6b).
Thesoilevaporationcoefficient(Ke)washighduringthe
ini-tialstageinbothseasons(Fig.6),whenfcwassmall(Fig.4)anda
largefractionofsoilwasexposedtoradiation,thusfavouringsoil waterevaporationwhenthesoilwaswettedbyrain.Kedecreased
asthecropdevelopedandthefractionfcincreased;thusKerapidly
droppedandkeptlowduringthemid-season.Itslightlyincreased againbytheendofthelateseasonwhenleafsenescenceoccurred, fcslightlydecreasedandmoreenergybecameavailableatthesoil
Table4
TheinitialandcalibratedbasalcropcoefficientsKcb,pdepletionfractionsfornostressandsoilevaporationparameters.
Cropparameters Soilevaporation
Kcbini Kcbmid Kcbend pini pmid pend Ze(m) REW(mm) TEW(mm)
Initial/default 0.15 1.15 0.30 0.55 0.55 0.55 0.10 8 15
Calibrated 0.15 0.95 0.20 0.50 0.50 0.50 0.10 10 16
Table5
Initialandcalibratedparametersofthecapillaryriseanddeeppercolationparametricequations.
Capillaryrise Deeppercolation
a1 b1 a2 b2 a3 b3 a4 b4 aD bD
Initialvalues 220 −0.17 160 −0.27 −1.3 6.2 3.0 −2.5 200 −0.0173
Calibratedvalues 320 −0.17 270 −0.27 −1.3 6.2 3.0 −2.5 230 −0.02
Table6
Indicatorsof“goodness-of-fit”oftheSIMDualKcmodelappliedtogroundwaterfedmaizewhenusingcalibratedanddefaultparameters.
Parameters Cropseason b R2 RMSE(cm3cm−3) AAE(cm3cm−3) ARE(%) Imax(cm3cm−3) EF dIA
Calibrated 2008 0.99 0.93 0.007 0.006 3.2 0.016 0.93 0.98
2009 1.01 0.93 0.008 0.006 3.9 0.017 0.93 0.98
Initial/default 2008 0.97 0.97 0.009 0.007 4.2 0.019 0.88 0.97
2009 0.91 0.87 0.018 0.016 10.5 0.031 0.61 0.90
surfaceforevaporation.Differencesbetween2008and2009are visibleforKebecause,duetolessandsmallerwettingsin2009,soil evaporationwasthensmaller(Fig.6b).TobenotedthatKeisnull
whenthecropwasfedbycapillaryrisebecauseCRdoesnotsupply moisturetotheuppersoillayerbutonlytorootsextraction.Fig.6 alsoshowstheKcactcurvethatrepresentsthedailysumofKcbact
andKe.ThedailyKcactcurveshowsasequenceofpeaksduetosoil
Fig.6.Kcb( ),Kcbact( ),Ke( ),andKcact( )curvesaswellasdaily
precipitation( )inthewetyearof2008(a)andinthedryyearof2009(b).
evaporationwhenwettingeventsoccur,thusbeingverydifferent fromthetypicallineartimeaveragedKccurveproposedinFAO56
(Allenetal.,1998).
TheKcbiniandpvaluesarewithinthoseproposedbyAllenetal.
(1998).However,themid-seasonKcbmid=0.95islowerthan
cur-rentlyobservedpotentialKcbmidvaluesformaize(e.g.,Allenetal.,
1998;Zhaoetal.,2013).Thisisduetolowplantingdensity,that leadstolowfc,andtolowcropheight(Fig.4andTable3).As
ana-lyzedbyAllenandPereira(2009),theKcbandKcvaluesincrease
fordenseandhighcrops.LowKcbmidvalueswereobtainedwith
formermaizevarieties(e.g.,Wright,1982;Pereiraetal.,2003).The resultingKcbmid=0.95mustthereforebeconsideredasthe
poten-tialvaluefor alow densitygroundwaterdependentmaize crop adaptedtoHorqinareabutnottobeusedwhencroppingfor max-imumyield.TheKcbendvaluesarelowerthanusualduetoleaves
pickingforanimalfodderduringlateseason,whichistypicalfor maizecultivatedasfoddercropinthisregion.
3.3. Croptranspiration,soilevaporationandgroundwater contribution
Theactualevapotranspirationcomputedbythemodelwas434 and360mmrespectivelyin 2008and2009,andcrop transpira-tionwasthen333and300mmrespectively(Table7).Differences betweentheseyearsareduetocontrastingrainfallandwatertable depths,where2009wasaparticularlydryyear,causingquiteheavy waterstressfrommid-seasontoharvest(Fig.6b).Thesimulatedsoil evaporationwas23%and17%ofETcactduringthecropseasonsof
2008and2009,respectively,withlargesoilwettingsbyrainfallin 2008(Table7).Theseresultshighlycontrastwiththosereported byZhaoetal.(2013)for maizeintheNorthChinaPlain,where soilevaporationwas37–45%ofETcact,henceaboutdoublethat
observedinHorqinarea.Thisdifferenceresultsfromthefactthat themaizecropreferredbyZhaoetal.(2013)wascroppedunder fullsupplementalirrigationandrainfallwasmuchmoreabundant thaninHorqinwherethesupplyofcroptranspirationwaslargely duetocapillaryrise(Fig.7andTable7),whichdoesnotcontribute towettheuppersoilevaporationlayer.
Fig. 7 presents the daily simulated soil evaporation, actual croptranspirationandcapillaryrisetogetherwiththe precipita-tionobservedalongbothcropseasons.Maindifferencesbetween
Fig.7. Soilevaporation(Es, ),actualcroptranspiration(Ta, ),and
cap-illaryrise(CR, )fluxes,aswellasprecipitation( )duringthecropseasonsof
2008(a)and2009(b).
seasonsrefertorainfall,moreabundantin2008,andtothe ground-watercontributionsincethewatertablewashigherin2008(Fig.3). TheEspeaksintheinitialstageofthecropcorrespondto
precipi-tationevents,moreabundantandlargerin2008.Duringthisstage, soilevaporationwasmuchlargerthantranspirationbecausethe soilwasnotcoveredbyvegetation(smallfc)andradiationenergy
washighlyavailableatthegroundsurfaceforevaporation.Results forEsandTainTable7showthatEsaccountedfor84%and67%of
actualevapotranspirationduringtheinitialstagein2008and2009, respectively.CRwasthennegligible(Fig.7)becausecroprootswere notyetdeveloped.
ThesizeofEs peaksdecreasedduringthecropdevelopment
stage.Whenthecropdeveloped,transpirationrapidlyincreased and,becausefcincreased(Fig.4),lessenergywasavailableforsoil
evaporation.Thus,Es/ETcactreducedto33%and13%respectively
in2008and2009(Table7),withasmallerratioin2009dueto lessrainfalleventswhiletranspirationbecamethemain compo-nentofET.Duringthis cropdevelopmentstagerootsdeveloped andcapillaryrisestartedincreasingtoattainmaximumvaluesby
themid-seasonstage.Duringmid-season,CRfluxesweresmallerin 2008becauseprecipitationwaslargeandextractionbyrootswas thenpredominantlyfromsoilwater.
Inthemid-seasonstageCRkepthigh,thusbecomingthemain contributortoET,essentiallytoTa.Naturally,theratioEs/ETcact
decreasedto7%and3%respectivelyin2008and2009,whenthe cropfullydevelopedandfcincreasedfurther.Thoseratiosarequite
lowbecauseETwasmainlysuppliedbycapillaryrise,whichdoes notcontributetoEs.Duringthelateseason,duetosenescenceof
leavesandtheirpickingforanimal’sfodder,fcdecreasedtogether
withtranspirationresultinginanincreaseoftheratioEs/ETcact,
particularlyin2009whenthecropwashighlystressed(Fig.6b), andtranspirationhighlyreduced(Table7).Consideringthecrop season,resultsevidencethatahigherEs/ETcact wasobservedin
2008becauseprecipitationeventswerelargerandmorefrequent. Differencesbetweenbothyearsareevidencedduringthe mid-and late-season(Fig.7).Inthewet2008,rainfallfavouredcrop vigourandcontributedtoraisethewatertable,thustokeepGWC highthroughoutthatperiod.Differently,inthedry2009,rainfall wasinsufficientandthewatertablesteadilydeclinedalong the mid-andlate-season.Hencethecropcouldnotkeepan appropri-aterateofextractionofwaterfromthewatertable.Theevidence of water stress during that period is given by the decreasing Kcbact curveshown in Fig.6b indicating that thecrop
progres-sivelydecreasedtranspirationwhiletheupwardfluxesfromthe water tablealso progressively decreased (Fig.7b).At the late-seasonthecropwasmaintainedwithgroundwatercontribution only,howeverquitereduced.Nevertheless,GWCin2008and2009 representedsimilarfractionsoftheETcact,respectively50%and
51%(Table8).ThesefiguresevidencetheimportanceofGWCto cropsintheHorqinsandyarea.
3.4. Soilwaterbalanceandgroundwatercontribution
Themonthlyresultsofthesoilwaterbalanceofthemaizefield show thatprecipitation in both years wasinsufficient tocover maize ETcact (Table8), which evidencestherole of
groundwa-tercontribution.GWCin2008was216mm,whichcorresponds to50%ofETcactof436mm.Resultsweresimilarin2009,where
GWCwas185mmcorrespondingto51%ofETcactof360mm.As
referredbefore,differencesinGWCrelatetothewatertablelevel (Fig.3),thatwashigherin2008duringmid-seasonandlate sea-son,whencroprootswerelargerandcropETcwashigher,i.e.,when
conditionsfavouredhighercapillaryrise.
During theinitialstage ofthe crop, byMay,GWC wasvery low.Inbothyears,itincreasedto20%inJunebecausefcincreased
and rootsdeveloped.The largestvalues wereobservedfor July, 76and85mmrespectivelyin2008and2009,butcorresponding toquitedifferentpercentagesofETcact,respectively53%and67%.
Thisbehaviourreflectstherelativelyabundantrainin2008,when a largeamountdidpercolate tothegroundwaterfollowing the stormsofJuly31andAugust1,totaling121mm.Thelackofrainin AugustandSeptemberledtoloweringthewatertableandtoGWC muchsmallerin2009thanin2008.
Table7
ActualmaizeevapotranspirationETcactanditspartitionintosoilevaporation(Es)andpotentialandactualcroptranspiration(Tc,Ta)foreachcropdevelopmentstagein2008
and2009.
Cropgrowthstages Es(mm) Tc(mm) Ta(mm) ETcact(mm) Es/ETcact(%)
2008 2009 2008 2009 2008 2009 2008 2009 2008 2009
Initial 48 39 21 33 9 19 57 58 84 67
Cropdevelopment 32 12 80 80 65 80 97 93 33 13
Mid-season 15 5 201 207 201 172 216 177 7 3
Lateseason 7 3 58 58 58 29 64 32 10 9
Table8
Monthlysoilwaterbalancecomponentsforthemaizecropseasonsof2008and2009.
Period P(mm) ETc act(mm) Es(mm) Ta(mm) DP(mm) SWC(mm) GWC(mm) GWC/ETc act(%)
2008 May 19 36 29 7 0 15 1 3 June 55 54 33 21 0 −12 11 20 July 179 144 28 116 7 −103 76 53 August 76 119 6 113 93a 60 76 64 September 34 85 8 77 0 0 51 60 Season 363 434 102 333 100 −41 216 50 2009 May 2 27 17 10 0 27 2 7 June 55 53 27 26 0 −14 11 21 July 49 127 11 116 0 −7 85 67 August 12 107 2 105 0 45 49 46 September 7 46 3 43 0 0 38 83 Season 125 360 60 300 0 47 185 51
P–precipitation,ETcact–actualevapotranspiration,Es.–soilevaporation,Ta–actualtranspiration,GWC–groundwatercontribution,DP–deeppercolation,SWC,variation
ofthesoilwatercontent.
aThishighpercolationresultsfromprecipitationstotaling121mmindays31Julyand01August.
Theuseofstoredsoilwater(SWC)wasrelativelyimportant inbothyearsduringtheinitialstage,inMay,particularlyin2009 whenrainfallwasverylow.Then,whenmonsoonrainsstart,SWC resultedincreasedattheendofJuneandJuly,particularlyin2008. Thestored SWCwas againcontributing toET inAugust but in SeptemberthevariationofSWCwasnull.BythenGWCwasquite important,representing60%ofETcact,in2008and83%in2009,
whensoilwaterwaslargelydepleted(Fig.5b).
ResultsaboveshowthatcroppinginHorqinandsimilarareas isonlypossiblewithgroundwatercontributionorwithirrigation usingpumpedgroundwater.However,irrigationwillinducea pro-gressivedeclineofthewatertablethatwillaffectallnaturaland man-madeecosystemsandwilloriginateaprogressiveincreaseof irrigationrequirements.Thus,inthefollowingsectionimpactsof alternativescenariosofgroundwaterdepthsareanalyzedaiming atshowingtheconsequencesofgroundwaterwithdrawal. 3.5. Assessingimpactsofalternativegroundwatertabledepth scenarios
Groundwatertabledepthvariationsarelikelyoccurringandits declineiscontinuing(Zhaoetal.,2009;Zhengetal.,2012;Yan etal.,2014).Therefore,severalalternativegroundwatertablelevel (WTL)scenariosweresimulatedwiththeSIMDualKcmodelaimed atassessingrelatedimpactsonGWCandonwaterusebyrainfed maizeascroppedinHorqin.Scenarioswerebuiltuponthe obser-vationsof2008(highrainfallandhighwatertable)and2009(low rainfallandlowwatertable)andconsistofchangingtheWTLas follows:
WTL+10–observedWTLincreasedby10cm. WTL−10–observedWTLdecreasedby10cm. WTL−20–observedWTLdecreasedby20cm.
Simulations were performed using all data observed in both years and the calibrated parameters, with the WTL data changed from observations as referred above. Results relative
togroundwatercontribution,ETcact,croptranspirationand soil
evaporation are presented in Table 9. For scenarios builtfrom 2008data,i.e.,highrainfallandhighWTL,changesinwatertable depthindicatesmall impacts onboth ETcact and GWCbecause
precipitation is enough to favour crop vigour and to recharge thegroundwater.Inotherwords,theconditionrelativeto2008 correspondstoawellbalancedcondition.
Forscenariosbuiltfrom2009data,i.e.,withlowrainfalland lowwatertable,resultsshowthatWTLdecliningleadtoagreat decreaseofGWC,from185to115mmwhenWTLisreducedby 10cmandto101mmifa20cmloweringisconsidered(Table9). DecreasesofETcactarealsolarge,from360to295mmiftheWTL
lowersby10cmorto283mmifa20cmloweringisconsidered. Differencesbetweenresultsreferringto10and20cmdeclining are small becausethe cropis already highly stressed withthe presentscenarioand thereforeresultsforboth deficitscenarios reflectmainlytheperiodsofAugustandSeptemberwhenstress isalreadyhigh.Theactualtranspirationwoulddecreaseby65or 76mm(Table9)forthescenarioswithWTLdecreasingby10or 20cm respectively,i.e.,22% and25%. TheseTa decreaseswould
producehighyieldlossessinceyieldisproportionaltoTa.Results
agreewiththosepresentedbyXuetal.(2013).Soilevaporation remainsunchangedbecauseitdependsonlyfromrainfallanddoes notdependuponupwardfluxes,whichdonotsupplythe evap-orablesoillayer.Differently,raisingthewatertableby10cminthe dryyearcouldhaveimportantbenefitstoGWC,resultingthatETcact
andTawouldincrease by19 and20mmrespectively.However,
becauserainfallisverylow,benefitsarequitesmall.
Results of assessment of impacts of increased or decreased watertabledepthsrelativetopresentindicatethatan appropri-ateregionalmanagementofthewatertableandprotectionofthe groundwatertoavoid its decliningare paramountfor the con-servationoftheHorqinlandscapeandecosystems,andtofurther combatdesertificationinthisfragilesandyarea.Moreover,because thedecliningofthewatertablemayinducefarmerstoirrigateby pumpingfromthegroundwater,theonlysourceofwaterinthe area,itisimportanttounderlinethatpumpingwillcauseafurther
Table9
Impactsofchangesingroundwatertablelevel(WTL)ontheseasonalgroundwatercontribution,actualevapotranspiration,actualtranspirationandsoilevaporation.
Groundwatertabledepthscenarios GWC(mm) ETcact(mm) Ta(mm) Es(mm)
Highrainfall(363mm) ObservedWTL 216 434 334 104
WTL−10 210 437 333 104
WTL−20 189 436 332 104
Lowrainfall(125mm) ObservedWTL 185 360 300 60
WTL+10 208 379 320 60
WTL−10 115 295 235 60
loweringofthegroundwatertable,thusincreasingthedegradation oftheecosystemsandtherisksofdesertification.
4. Conclusions
The SIMDualKcmodel, that adoptsthedual cropcoefficient approach,wassuccessfullycalibratedandvalidatedforsimulating capillaryrisefromthegroundwatertableusingtwocontrasting maizecropseasons,withhighandlowrainfallandhighandlow watertabledepths.Hence,thestudyprovidedforaproperanalysis ofcropwateruse,soilwaterbalanceandgroundwatercontribution towaterusebyagroundwaterdependentmaize.Resultsshowthat usingonlytwocontrastingseasondatasetswasenoughtoproperly performthedesiredGWCassessmentandtoappropriately com-putetheactualtranspirationandsoilevaporationusingtheFAO56 dualcropcoefficientapproach.
Agoodsetofbasalcropcoefficientsandevaporationand cap-illary rise parameters were then calibrated that allow further exploringthemodel toassess croplandwater useand ground-watercontributioninHorqinSandyArea.Simulationresultsalso showthatusingappropriatelyselecteddefaultparametersallows extendingtheuseofSIMDualKctoothersimilar areasin Inner Mongolia.
Resultsforbothcropseasonshavingdifferentrainfalland con-trastingwatertabledepthsshowthatgroundwatercontributionis extremelyimportant,exceeding50%ofactualcrop evapotranspira-tionovertheseasonand,inparticular,duringmid-seasonandlate seasonwhenyielddevelopmentandmaturationoccurs.
Itwasobservedthattheratioofsoilevaporationto evapotrans-piration(Es/ETcact)wasrelativelysmall,23%and17%respectively forthewater abundantand waterdeficitseasons, withthesoil evaporationamountdependingonrainfallbecausecapillaryrise doesnotcontributetoEs.Naturally, theamountofGWChighly relateswithactualtranspirationandbeinggenerallyabove50% duringmid-andlate-season.
Resultsindicatethatcroppingintheareahasahighfailurerisk whenrainfallislowandthewatertableisrelativelydeep.Toverify thisassumption,simulationswereperformedforwatertable sce-nariosbuiltfromthoseobserved.Forthecaseofhighrainfalland highwatertable,itwasverifiedthatchangesinwatertablelevel producedrelativelysmallchangesinGWC,ETcact,andTa. Differ-ently,loweringtheWTLforthedryyearhavingalowwatertableled tolargedecreasesinGWCand,consequentlyinETcact,andTa.The feasibilityofcroppinginHorqinifthewatertabledeclinesbecomes very low, particularlyifrainfall is low. Therisk of degradation oftheecosystemsandlandscapeofHorqinwouldthenincrease. Therefore,appropriateregionalmanagementofthegroundwater, includingavoidanceofpumpingforirrigation,isrequiredfor con-servationoftheHorqinSandyLandlandscapeandtofurthercombat desertificationinthearea.
Acknowledgements
ThisstudywassupportedbytheNationalNaturalScience Foun-dation of China,Contract #51139002, #51069005; theChinese MinistryofScienceandTechnology,contract#2010DFA71460;the InnerMongoliaAgriculturalUniversityGrantNDTD2010-6;andthe InnerMongoliaIndustrialInnovationTeam,aswellasLEAF- Land-scape,Environment,AgricultureandFood,UniversityofLisbon,and theChina–Portugalcooperativeresearchprogramme.
References
AbiSaab,M.T.,Todorovic,M.,Albrizio,R.,2015.ComparingAquaCropandCropSyst modelsinsimulatingbarleygrowthandyieldunderdifferentwaterandnitrogen
regimes.Doescalibrationyearinfluencetheperformanceofcropgrowth mod-els?AgricWaterManage.147,21–33.
Allen,R.G.,Pereira,L.S.,2009.Estimatingcropcoefficientsfromfractionofground coverandheight.Irrig.Sci.28,17–34.
Allen,R.G.,Pereira,L.S.,Raes,D.,Smith,M.,1998.CropEvapotranspiration, Guide-linesforComputingCropWaterRequirements.FAOIrrigationandDrainage Paper56.FAO,Rome,Italy,pp.300.
Allen,R.G.,Pereira,L.S.,Smith,M.,Raes,D.,Wright,J.L.,2005.FAO-56dualcrop coef-ficientmethodforestimatingevaporationfromsoilandapplicationextensions. J.Irrig.Drain.Eng.131,2–13.
Allen,R.G.,Wright,J.L.,Pruitt,W.O.,Pereira,L.S.,Jensen,M.E.,2007.Water require-ments.In:Hoffman,G.J.,Evans,R.G.,Jensen,M.E.,Martin,D.L.,Elliot,R.L.(Eds.), DesignandOperationofFarmIrrigationSystems.,2nded.ASABE,St.Joseph,MI, pp.208–288.
Allen,R.G.,Pereira,L.S.,Howell,T.A.,Jensen,M.E.,2011.Evapotranspiration infor-mationreporting:I.Factorsgoverningmeasurementaccuracy.Agric.Water Manage.98,899–920.
Bagan,H.,Takeuchi,W.,Kinoshita,T.,Bao,Y.,Yamagata,Y.,2010.Landcover classi-ficationandchangeanalysisintheHorqinSandylandfrom1975to2007.IEEE J.Sel.Top.Appl.EarthObserv.RemoteSens.3(2),168–177.
Cholpankulov,E.D.,Inchenkova,O.P.,Paredes,P.,Pereira,L.S.,2008.Cottonirrigation schedulinginCentralAsia:modelcalibrationandvalidationwithconsideration ofgroundwatercontribution.Irrig.Drain.57,516–532.
Duan,L.M.,Liu,T.X.,Wang,X.X.,Wang,G.,Ma,L.,Luo,Y.Y.,2011a.Spatio-temporal variationsinsoilmoistureandphysicochemicalpropertiesofatypicalsemiarid sand-meadow-desertlandscapeasinfluencedbylanduse.Hydrol.EarthSyst. Sci.15,1865–1877.
Duan,L.,Liu,T.,Wang,X.,Luo,Y.,Wang,W.,Liu,X.,2011b.Watertablefluctuation anditseffectsonvegetationinasemiaridenvironment.Hydrol.EarthSyst.Sci. Discuss.8,3271–3304.
Gowing,J.W.,Rose,D.A.,Ghamarnia,H.,2009.Theeffectofsalinityonwater pro-ductivityofwheatunderdeficitirrigationaboveshallowgroundwater.Agric. WaterManage.96,517–524.
Kahlown,M.A.,Ashraf,M.,Zia-ul-Haq,2005.Effectofshallowgroundwatertableon cropwaterrequirementsandcropyields.Agric.WaterManage.76,24–35. Kottek,M.,Grieser, J.,Beck,C.,Rudolf,B.,Rubel, F.,2006.World Mapofthe
Köppen–Geigerclimateclassificationupdated.Meteorol.Z.15(3),259–263. Kowalik,P.J.,2006.Drainageandcapillaryrisecomponentsinwaterbalanceof
alluvialsoils.Agric.WaterManage.86,206–211.
Li,Y.L.,Cui,J.Y.,Zhang,T.H.,Zhao,H.L.,2003.Measurementofevapotranspiration ofirrigatedspringwheatandmaizeinasemi-aridregionofnorthChina.Agric. WaterManage.61,1–12.
Li,F.-R.,Zhao,L.-Y.,Zhang,H.,Zhang,T.-H.,Shirato,Y.,2004.Winderosionand air-bornedustdepositioninfarmlandduringspringintheHorqinSandyLandof easternInnerMongolia,China.SoilTill.Res.75,121–130.
Liu,T.,Luo,Y.,2011.Effectsofshallowwatertablesonthewateruseandyieldof winterwheat(TriticumaestivumL.)underrain-fedcondition.Aust.J.CropSci. 5,1692–1697.
Liu,Y.,Pereira,L.S.,Fernando,R.M.,2006.Fluxesthroughthebottomboundaryof therootzoneinsiltysoils:parametricapproachestoestimategroundwater contributionandpercolation.Agric.WaterManage.84,27–40.
Ma,L.,Liu,T.-X.,2007.Relationshipofplantecotypewithgroundwaterdepthand soilmoistureinHorqinSandyLand.J.DesertRes.27(3),391–396(inChinese). Martins,J.D.,Rodrigues,G.C.,Paredes,P.,Carlesso,R.,Oliveira,Z.B.,Knies,A.,Petry, M.T.,Pereira,L.S.,2013.Dualcropcoefficients forfullanddeficitirrigated maizeinsouthernBrazil:modelcalibrationandvalidationforsprinklerand dripirrigationandmulchedsoil.Biosyst.Eng.115,291–310.
Moriasi,D.N.,Arnold,J.G.,VanLiew,M.W.,Bingner,R.L.,Harmel,R.D.,Veith,T.L., 2007.Modelevaluationguidelinesforsystematicquantificationofaccuracyin watershedsimulations.Trans.ASABE50(3),885–900.
Nash,J.E.,Sutcliffe,J.V.,1970.Riverflowforecastingthroughconceptualmodels: Part1.Adiscussionofprinciples.J.Hydrol.10(3),282–290.
Pac¸o,T.A.,Pôc¸as,I.,Cunha,M.,Silvestre,J.C.,Santos,F.L.,Paredes,P.,Pereira,L.S.,2014. Evapotranspirationandcropcoefficientsforasuperintensiveoliveorchard. AnapplicationofSIMDualKcandMETRICmodelsusinggroundandsatellite observations.J.Hydrol.519,2067–2080.
Paredes,P.,Rodrigues,G.C.,Alves,I.,Pereira,L.S.,2014.Partitioning evapotranspi-ration,yieldpredictionandeconomicreturnsofmaizeundervariousirrigation managementstrategies.Agric.WaterManage.135,27–39.
Pereira,L.S.,Cai, L.G.,Hann,M.J., 2003.Farmwaterand soilmanagementfor improvedwateruseintheNorthChinaPlain.Irrig.Drain.52(4),299–317. Pereira,L.S.,Gonc¸alves,J.M.,Dong,B.,Mao,Z.,Fang,S.X.,2007.Assessingbasin
irrigationandschedulingstrategiesforsavingirrigationwaterandcontrolling salinityintheUpperYellowRiverBasin,China.Agric.WaterManage.93(3), 109–122.
Ritchie,J.T.,1972.Modelforpredictingevaporationfromarowcropwithincomplete cover.WaterResour.Res.8,1204–1213.
Rosa,R.D.,Paredes,P.,Rodrigues,G.C.,Alves,I.,Fernando,R.M.,Pereira,L.S.,Allen, R.G.,2012a.Implementingthedualcropcoefficientapproachininteractive soft-ware:1.Backgroundandcomputationalstrategy.Agric.WaterManage.103, 8–24.
Rosa,R.D.,Paredes,P.,Rodrigues,G.C.,Fernando,R.M.,Alves,I.,Pereira,L.S.,Allen, R.G.,2012b.Implementingthedualcropcoefficientapproachininteractive software:2.Modeltesting.Agric.WaterManage.103,62–77.
Sinclair,T.R.,Seligman,N.,2000.Criteriaforpublishingpapersoncropmodelling. FieldCrop.Res.68,165–172.
Shi,X.-H.,Li,C.-Y.,Liu,T.-X.,2007.Analysisonspatialcharacteristicsofsoilwater inmarshlandduneareasinHorqinSandyLand.J.DesertRes.27,837–842(in Chinese).
Soylu,M.E.,Istanbulluoglu,E.,Lenters,J.D.,Wang,T.,2011.Quantifyingtheimpact ofgroundwaterdepthonevapotranspirationinasemi-aridgrasslandregion. Hydrol.EarthSyst.Sci.15,787–806.
Stulina,G.,Cameira,M.R.,Pereira,L.S.,2005.UsingRZWQMtosearchimproved practicesforirrigatedmaizeinFergana,Uzbekistan.Agric.WaterManage.77, 263–281.
Tamea,S.,Laio,F.,Ridolfi,L.,D’Odorico,P.,Rodriguez-Iturbe,I.,2009.Ecohydrology ofgroundwater-dependentecosystems:2.Stochasticsoilmoisturedynamics. WaterResour.Res.45(5),W05420,http://dx.doi.org/10.1029/2008WR007293,
13pp.
Tang,X.,Cui,J.-Y.,Zhao,X.-Y.,Yun,J.-Y.,Lian,J.,Wang,X.-Y.,Li,Y.-Q.,2011.
Character-isticsofmaizetranspirationandsoilevaporationinHorqinsandland.Pratacult. Sci.28,788–792(inChinese).
Vervoort,R.W.,VanderZee, SEAT.M.,2008. Simulatingtheeffectofcapillary
fluxonthesoil waterbalance inastochasticecohydrologicalframework.
WaterResour.Res.44(8),W08425,http://dx.doi.org/10.1029/2008WR006889,
15pp.
Willmott,C.J.,1981.Onthevalidationofmodels.Phys.Geogr.2,184–194.
Wright,J.L.,1982.Newevapotranspirationcropcoefficients.J.Irrig.Drain.–ASCE
108,57–74.
Xu,X.,Huang,G.,Sun,C.,Pereira,L.S.,Ramos,T.B.,Huang,Q.,Hao,Y.,2013.Assessing
theeffectsofwatertabledepthonwateruse,soilsalinityandwheatyield: searchingforatargetdepthforirrigatedareasintheupperYellowRiverbasin. Agric.WaterManage.125,46–60.
Yan,Y.,Zhu,J.,Yan,Q.,Zheng,X.,Song,L.,2014.Modelingshallowgroundwater
levelsinHorqinSandyLand,NorthChina,usingsatellite-basedremotesensing
images.J.Appl.RemoteSens.8(1),http://dx.doi.org/10.1117/1.JRS.8.083647.
Zhang,Y.,Zhao,S.,2003.AnalysisoflandusechangeinHorqinSandyLandand
itssurroundingareaduringthepast15years.J.Nat.Res.18(2),174–181(in Chinese).
Zhang,L.,Liu,Z.,Zhou,R.,Zhai,S.,2009.Farmlandexpansionpredictionatapastoral
villageinnortheasternChina:aspatiallyexplicittargetingapproach.Environ. EarthSci.59,847–852.
Zhao,H.L.,Zhou,R.L.,Zhang,T.H.,Zhao,X.Y.,2006.Effectsofdesertificationonsoil
andcropgrowthpropertiesinHorqinsandycroplandofInnerMongolia,north China.SoilTill.Res.87,175–185.
Zhao,X.Y.,Zhang,C.M.,Zuo,X.A.,Huang,G.,Huang,Y.X.,Luo,Y.Y.,Wang,S.K.,Qu,
H.,2009.ChallengetothedesertificationreversioninHorqinSandyLand.Chin.
J.Appl.Ecol.20(7),1559–1564(inChinese).
Zhao,N.,Liu,Y.,Cai,J.B.,Paredes,P.,Rosa,R.D.,Pereira,L.S.,2013.Dualcrop
coef-ficientmodellingappliedtothewinterwheat–summermaizecropsequence inNorthChinaPlain:basalcropcoefficientsandsoilevaporationcomponent. Agric.WaterManage.117,93–105.
Zheng,X.,Zhu,J.J.,Yan,Q.L.,Song,L.N.,2012.Effectsoflandusechangesonthe
groundwatertableandthedeclineofPinussylvestrisvar.mongolicaplantations insouthernHorqinSandyLand,NortheastChina.Agric.WaterManage.109, 94–106.
Zuo,X.,Zhao,X.,Zhao,H.,Zhang,T.,Guo,Y.,Li,Y.,Huang,Y.,2009.Spatial
hetero-geneityofsoilpropertiesandvegetation–soilrelationshipsfollowingvegetation restorationofmobiledunesinHorqinSandyLand,NorthernChina.PlantSoil 318,153–167.