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Leslie, Andrew, Mencuccini, Maurizio and Perks, Mike P. (2018) Preliminary growth functions for Eucalyptus gunnii in the UK. Biomass and Bioenergy, 108 . pp. 464469.
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1IntroductionOftheeucalypts,cidergum(Eucalyptusgunnii),ahighaltitudespecies,endemictoTasmaniaisoneofthehardiestspecies[1,2].IthasalonghistoryintheUnitedKingdom,wasthefirstAustraliantreetobesuccessfully
grownoutdoorsandisnowrelativelycommoningardensandparks[3].Therearespecimensof individualsplantedalmost100yearsago,atestamenttothegoodadaptationof thespeciestopartsof theUKwherecold isnota
limitation[3].ResultsfromprovenancetrialsintheUKhaveindicatedthesuperiorityingrowthandsurvivaloftheLakeMcKenzieprovenances[4,5]andthereispotentialforenhancingcoldhardinessinE.gunniithroughselection;
Evans[4]describedsomeindividualsthathadsurvivedminimumtemperaturesof-18°C.
ThepotentialforimprovingyieldsofE.gunniithroughtreeimprovementandrigoroussilviculturecanbeobservedintrialsinFrance,wherealongtermpulpplantationprogrammehasdevelopedclonesofE.gunnii,selected
forproductivityandcoldtolerance.Furthermore,E.xgundal,ahybridbetweenE.gunniiandE.dalrympleanahasbeencreated,whichcombinesthebettergrowthratesandformofEucalyptusdalrympleanawiththegreatercold
toleranceofE.gunnii.Establishmentandtendingpracticesareintensiveandgrowthfromtheseplantationshasbeenimpressive;standingvolumesofbetween160and215m3ha−1ormeanannual incrementsofbetween13and
18m3ha−1year−1ofstemvolumehavebeenachievedovera12yearrotation[6].
GrowthofE.gunniiintheUKhasbeenestimatedinasmallnumberofstudies[5,7],buttherearenocontinuousmeasurementsofvolumegrowth.Table1describessomeofthepublishedestimatesofgrowthreportedinthe
literatureandfrompersonalcommunications.AlltheestimatesofvolumewerebasedonmeasurementsofDBHandheight,fromwhichstemvolumeisestimatedmakingcertainassumptionsonstemform.Theannualincrementsin
Researchpaper
PreliminarygrowthfunctionsforEucalyptusgunniiintheUK
A.D.Lesliea,∗
M.Mencuccinib
M.P.Perksc
aNationalSchoolofForestry,UniversityofCumbria,AmblesideCampus,RydalRoad,Ambleside,LA229BB,UK
bCREAF,UniversityAutonomousBarcelona,CampusdeBellaterra,EdificiC08193CerdanyoladelVallès,Barcelona,Spain
cCentreforForestryandClimateChange,ForestResearch,NorthernResearchStation,Roslin,MidlothianEH259SY,UK
∗Correspondingauthor.
Abstract
ThisstudyrepresentsthefirstattempttodevelopgrowthfunctionsforEucalyptusgunniigrownintheUK.Functionsrelatingheightandage,heightandDBH,cumulativevolumeandageandmeanannualincrement
andageweredevelopedusinghistoricdata.TheseindicatedthatstandsintheUKachievedanaveragegrowthrateof16m3ha−1y−1orapproximately8Mgha−1y−1ofdrystembiomassatanageoftwentyyears.Thereis
evidencethatyieldscanbeconsiderablyhigherwhereintensivesilviculture,suchasuseofplasticmulchesandnutrientinputshasbeenpractised,suchasatDaneshillinNottinghamshire,wheretreesattainedaheightof
10.6minfiveandahalfyears.However,potentialyieldsareoftencompromisedbyhighmortalityandapriorityshouldbetoidentifyareasintheUKwhereE.gunniicanbegrownwithlowriskandalsotochoosewell
adaptedgeneticmaterial.
Keywords:Eucalyptus;UnitedKingdom;Shortrotationforestry;Biomass;Volume;Growth;Yield
weightfortheNewForeststudywerecalculatedfromvolumesandanassumedwooddensity,butforDaneshillthevalueswerebasedontheactualweightharvestedandchippedandincludesbranches.Table2presentsresultsof
growthfromtrialsgrowingE.gunniiasshortrotationcoppice.
Table1Publishedandotherinformationongrowthratesofnon-coppicedE.gunniiintheUK.
alt-text:Table1
Location Age(years)Standingvolumeor
biomass Meanannualincrement Notes
Daneshill1 5 85tMgha−1 17Mgha−1y−1 FromamixofstandsofE.gunniiandthemoreproductiveE.nitens.Deadstemswerestandingforsixmonthssowoodwasrelativelydry.Stockingapproximately2940ha−1
NewForest2 7 97m3ha−1 13.9m3ha−1y−1/6.2Mgha−1y−1 Fromaspacingexperiment,plantedat5102ha−1.Biomassproductionisonadryweightbasis.
NewForest2 7 19m3ha−1 2.7m3ha−1y−1 Fromaspacingexperiment,plantedat1276ha−1
Thetford3a 21 261m3ha−1 12.4m3ha−1y−1 Fromsmall,lineplotsinaprovenancetrial,plantedat1850ha−1with48%survivalgiving888ha−1.
Glenbranter4b 25 452m3ha−1 18.1m3ha−1y−1 Fromsmall,lineplotsinaprovenancetrial,plantedat1842ha−1with96%survivalgiving1768ha−1
Chiddingfold5c 25 435m3ha−1 17.4m3ha−1y−1 Fromtwo0.01haplotsmeasuredinasmallblockplanting,meanstockingof1150ha−1.1[8],2[7],3[9],4[5],5[10].aMeanofthreeprovenances,bMeanoffiveLakeMcKenzieseedlots.cMeanoftwoprovenances.
Table2PublishedandotherinformationongrowthratesinMgdrymatterperhectareperyearofshortrotationcoppiceE.gunniiintheUKandIreland.
alt-text:Table2
Location Age(years) Meanannualincrement(Mgha−1year−1) Notes
UniversityCollegeDublin1 1a 12.6 Plantedat2657ha−1
UniversityCollegeDublin1 1a 15.4 Plantedat3267ha−1
LongAshton3 2b 13.0 Plantedat10000ha−1
LongAshton3 2b 9.9 Plantedat2500ha−1
Mepal3 2b 12.7 Plantedat10000ha−1
Mepal3 2b 4.2 Plantedat2500ha−1
Whitney3 2b 4.7 Plantedat10000ha−1
Whitney3 2b 2.5 Plantedat2500ha−1
LongAshton2 4b 18.4b Plantedat10000ha−1but60%survival,so6000ha−1
LongAshton3 4b 13.5 Plantedat10000ha−1
LongAshton3 4b 8.3 Plantedat2500ha−1
1[11],2[12],3[13].aButstoolsare13yearsoldandbeensuccessivelyharvestedeveryyear.bAgeofshootsafterbeingcutbacktoinitiatecoppiceatoneyearold.cmeanofyieldsin1985/86and1986/87.
Tounderstandthepatternofgrowthovertimeandconducteconomicanalyses,growthcurvesarerequired.ForE.gunnii,theonlygrowthcurvespublishedarefromplantationsinFrance[14,15].Therearenogrowthcurves
fortreesgrownintheUKandnocontinuoustimeseriesdatasetsintheUKcoveringthepredictedrotationlengthsforshortrotationplantationsofE.gunnii.Therearehoweverdatafrommeasurementsofheightanddiameteror
heightaloneatapointintimeorsometimesseveralmeasurementsoverarestrictedperiodoftimefromtrialsestablishedbyForestResearchfromthe1980sandafewothertrials.Mostoftheseprovidedataongrowthinthefirstfive
yearsbutthereareafewmeasurementsofoldertrees.
ThisstudywasdevisedtoprovidepreliminaryestimatesofstemgrowthofE.gunniiintheUKandtheaimwastodevelopageneralisedgrowthcurverelatingvolumeperunitareatostandage.
2MethodsandanalysisThelackofcontinuousgrowthdataandlimitedgeographicalspreadofplantingsofE.gunniiinBritainpresentaconsiderableproblemwhendevelopingageneralisedgrowthcurve.Dataongrowthwereextractedfromfilesof
trialsestablishedbyForestResearch,NottinghamshireCountyCouncilandThoresbyHallEstateandmeansforstandsatthesitescalculatedforheightand,whereavailable,forDBH.ThesedataaresummarisedinTable3andthe
locationsinFig.1.Ageinyearsispresentedtotwodecimalplaces(onedecimalplaceisnotsufficientlyprecisetodifferentiatebetweenmonths;forexampleboth3monthsand4monthsroundedwouldbe0.3years).
Table3Treesizedata:location,height,DBH,samplesizeandstocking.
alt-text:Table3
Age(months) Age(yrs) Height(m) N DBH(cm) Stocking(numberha−1)
Chiddingfold 5 0.42 0.5 59 1313
Chiddingfold 14 1.17 1.4 58 1291
Chiddingfold 26 2.17 1.2 50 1113
Chiddingfold 29 2.42 1.5 975 1716
Chiddingfold 38 3.17 2.3 49 1091
Chiddingfold 85 7.08 5.4 975 1202
Chiddingfold 311 25.92 22.8 23 19.1 1150
Chiddingfold 336 28.00 19.4 10 19.2 N/A
Dalton 5 0.42 0.7 N/A 2500
Dalton 16 1.33 1.3 N/A 2317
Dalton 35 2.92 2.0 N/A 2317
Dalton 282 23.50 17.8 N/A 23.3 2584
Daneshill 28 2.33 5.4 14 8.3 2940
Daneshill 41 3.42 7.6 14 12.3 2940
Daneshill 53 4.42 8.1 14 11.4 2940
Daneshill 65 5.42 10.6 13 12.4 2940
Glenbranter 29 2.42 1.2 78 1330
Glenbranter 34 2.83 1.2 78 1330
Glenbranter 54 4.50 2.5 79 1347
Glenbranter 107 8.92 9.3 N/A 8.6 N/A
Glenbranter 120 10.00 9.7 79 9.8 1347
Glenbranter 178 14.83 15.8 5 13.7 N/A
Glenbranter 308 25.67 14.9 74 19.1 1262
Glenbranter 516 43.00 30.1 45 35.2 N/A
NewForest 5 0.42 0.1 130 1275
NewForest 45 3.75 7.2 130 1275
NewForest 53 4.42 7.3 130 5.8 1275
NewForest 75 6.25 10.5 130 8.0 1275
Thoresby 126 10.50 16.4 35 20.7 2500
Tintern 2 0.17 0.4 60 3265
Tintern 16 1.33 1.2 28 3265
Tintern 28 2.33 1.4 63 3265
Tintern 29 2.42 2.0 59 3265
Tintern 43 3.58 3.5 28 3265
Tintern 55 4.58 3.5 63 3265
Wykeham 18 1.50 1.5 N/A N/A
Fig.1Locationsofstandscontributinggrowthdata:1=Glenbranter(56°06′54N,005°04′02W)2=Dalton(54°17′05N,002°50′30W),3=Wykeham(N/A),4=Daneshill(53°21′50N,000°58′57W),5=Thoresby(53°26′32N,000°59′39W),6=Tintern
(51°44′37N,002°41′01W),7=Chiddingfold(51°03′49N,00°035′29W)and8=NewForest(50°23′38N,001°38′35E).
Thesedatawereusedtodevelopaheightbyagecurve,aDBHbyheightcurveandthroughapplyingtheAFOCELvolumefunctionastemvolumebyagecurve.Duetothesmallamountofdataavailableingeneralandoftime-
seriesdatainparticular,equationsproventoaccuratelymodelheightbyagewereappliedtothehistoricUKdata.Theequationsused[16,17]areshownbelow:
1 Gompertzmodel:y=a·exp(-exp(b-cx))
2 Exponentialmodel:y=a·exp(b(x+c))
3 Richard'smodel:y=a·(1-exp(b·x)c)
4 Korfmodel:Y=a·(exp(b·x-c)
Whereyisheightandxisageinyears,witha,bandcbeingparametersinthemodels.
Toenablevolumegrowthtobeestimated,afunctionrelatingdiametertoheightwasalsorequired.Asdiameterisstronglyinfluencedbystocking,onlydataondiameterfromtreesplantedatstockingsofbetween1200and
2500treesha−1wereusedtoderivearelationshipbetweenheightandDBHusingregression.Toderivethisrelationship,thecurvefittingtoolinSPSSv19wasusedwhichenableselevendifferenttypesoffunctiontobefitted.
Allheightdataacrosstherangeofstockingswasusedtofitaheight:agecurve,asheightisrelativelyindependentofstocking.ThiswasundertakenusingthenonlinearregressiontoolsinSPSSv19.
ToobtainapreliminaryestimateofvolumegrowthacrossBritain,thepredictedheightandpredictedDBHatthoseheightsuptoanageoftwentyyearswereconvertedtovolumesusingtheAFOCELvolumefunction(see
additionalwebmaterial)toobtainastemvolumefortreesuptotwentyyears.TheAFOCELequationincorporatedheightanddiameteratbreastheight,whereV=overbarkvolume(m3),DBH=diameteratbreastheight(cm)and
h=height(m).
Theanalysiswasrestrictedtothefirsttwentyyearsasselfthinningandothermortalityislikelytohavehadanimpactonstockinginlateryears.Also,growthafter20yearsislikelytohavebeenlessthanthatofwellmanaged
standsduetotheonsetofinter-treecompetition,withallbutthedominanttreesinthestandsbeingaffected.Amedianinitialstockingof1350treeshectare−1,basedonthestandssampledwasusedtoconvertstemvolumetovolume
perhectareanditwasassumedtherewasnomortality.
3ResultsNonlinearregressionofheightagainstagewasundertakenusingfourcommonlyusedfunctionsandtheRichard'sfunctionwasfoundtogivethebestfitintermsofhighR2andlowstandarderror(Table4).Thecurvederived
fromtheRichard'sequationisshowngraphicallyinFig.2,withtheheightcurvefromFrenchplantations[15]superimposed.
Table4DescriptionofthebestfitmodelsforageandheightandheightandDBH.
alt-text:Table4
X y Model N r2 SEE A B c
Age(years) Height(m) Richards 34 0.911 2.370 43.16 −0.022 0.851
Height(m) DBH(cm) Lineara(y=a+b·x) 15 0.843 3.181 0.797 1.044 –
aWhereYisDBHandXisheightandaandbareparametersforthemodel.
alt-text:Fig.1
V=(-5.04+(0.03556·DBH2·h))/1000
EleventypesoffunctionwereusedinregressionofDBHagainstheightandwerecomparedthroughR2andstandarderror.Ofthesealinearrelationshipprovidedthebestfittothedata,intermsofahighR2andlowestSEE
(Table4andFig.3).
Usingthetwofunctions,heightandDBHatagesupto20yearswereestimatedandstemvolumesforeachagefromfivetotwentyyearswascalculatedusingtheAFOCELfunction.Thestandingvolumecurveusingthis
approachisshowninFig.4andvaluesforstemvolume,stembiomassandmeanannualincrementarepresentedinTable5.Meanannualstemvolumeincrementoveratwentyyearrotationwas16m3ha−1year−1andapplyingabasic
densityof500kgm−3[18],givesameanannualdryweightincrementof8Mgha−1year−1.
Fig.2MeanplotheightsbyagewithfittedRichards'functionandincomparisontheFCBAheightcurve[15].FCBAheightfunctionisbasedontreesupto12yearsoldandsohasnotbeenappliedtooldertrees.
alt-text:Fig.2
Fig.3Relationshipbetweendbhandheight,withbestfitline.
alt-text:Fig.3
Table5PredictedDBH,height,stemvolumeandvolumeperhectare(assumingstockingdensityof1350ha−1)byageusingbestfitfunctionsforheightandage,DBHandheightandtheAFOCELvolumefunction.alt-text:Table5
Age(year) Height(m) DBH(cm) treevolume(m3) Volumeperunitarea(m3ha−1) dryweightperunitarea(Mgha−1) MAI(m3ha−1y−1)
5 6.3 7.4 0.007 9.6 4.8 1.9
6 7.3 8.4 0.013 17.9 9.0 3.0
7 8.2 9.4 0.021 28.1 14.0 4.0
8 9.1 10.3 0.030 40.1 20.1 5.0
9 10.0 11.3 0.040 54.0 27.0 6.0
10 10.9 12.1 0.052 69.8 34.9 7.0
11 11.7 13.0 0.065 87.5 43.7 8.0
12 12.4 13.8 0.079 106.9 53.5 8.9
13 13.2 14.6 0.095 128.1 64.1 9.9
14 13.9 15.4 0.112 151.0 75.5 10.8
15 14.7 16.1 0.130 175.5 87.8 11.7
16 15.3 16.8 0.149 201.6 100.8 12.6
17 16.0 17.5 0.170 229.3 114.6 13.5
18 16.7 18.2 0.191 258.3 129.2 14.4
19 17.3 18.9 0.214 288.7 144.4 15.2
20 17.9 19.5 0.237 320.5 160.2 16.0
4Discussion
Fig.4Predictedstandingoverbarkstemvolumebyage,withtreevolumecalculatedusingdbhandheightestimatedfromtheage:heightfunctionandheight:dbhfunctionandvolumefromtheAFOCELfunction.Stockingwasassumedtobeaconstant1350
treesha−1.
alt-text:Fig.4
ThisstudyrepresentsthefirstworktocharacterisegrowthcurvesofE.gunniiintheUKandtheresultsarediscussedbelow.Thewidespreadinthedata(Fig.2)forheightbyagereflectsgeneticdifferencesbetweenthetrees,
variationsinthequalityofsilvicultureandtherangeofsiteconditionsatwhichthesedatawerecollected.ARichards'functiondescribedover90%ofthevariationintherelationshipbetweenageandheight(Table4).Diameterismore
stronglyinfluencedbygrowingspacethanheightandacrossthestandsthatprovidedthehistoricdata,differencesininitialspacingandsubsequentmortalityhadresultedinawiderangeofgrowingspace.Thisvariationandthesmall
numberofrecordsofDBHmademodellingtherelationshipbetweenheightanddiameterimprecise.Tonarrowtherangeofgrowingspace,onlydatafromstandswithinitialstockingofbetween1200and2500treesha−1wereused.
Fig.3showstheresultsbasedonmeandatafrom15differentmeasurementsandalinearfunctionexplained84%ofthevariation(Table4).
Combiningtheage:heightcurve,theDBH:heightcurveandtheAFOCELvolumefunction,stemvolumegrowthwaspredicted(Fig.4)overtwentyyears.Thisperiodwasusedfortworeasons:itisclosetothepredicted15year
rotationforE.gunniigrownforbiomass[19]andfortheseunthinnedstandsthatprovidedthedata,competitionwasprobablynotoverlyintense,providingsomeindicationofpotentialyieldofmanagedstands.Thevolumegrowth
curvegaveastandingstemvolumeof320m3ha−1at20yearsofage,givingameanannualincrementof16m3ha−1y−1oranestimateddrymassincrementof8Mgha−1y−1.Growthofthesetreeswasconsiderablyslowerthanthe
intensivelymanagedstandsinFrance,wherevolumesof200m3ha−1areachievedin12years[14],comparedwitharound16yearsfromtheBritishstands(Table5andFig.4).
Itisclearfromthedataminingexercisethatthereisconsiderablevariationingrowthbetweentreeswithinstandsandalsobetweenstandsatdifferentlocationsandgrownunderdifferentintensitiesofsilviculture.Assuch,
theresultsfromthisstudyrepresentafirstandhighlygeneralisedattemptatcharacterisingE.gunniigrowthunderBritishconditions,basedonalimitedamountofdata.Atsites,suchasDaneshill(Nottinghamshire)andtheNew
Forest(Hampshire)aheightof10mhasbeenachievedat5or6yearsofage.Daneshillwastheonlysitewhereintensivesilviculturewaspracticed,andtheintensiveestablishmentmethodsused,suchasplantingthetreesthrough
biodegradableplasticsheeting,atechniquetoinhibitweedcompetitionandtheuseofhighnitrogensewagesludgeasabiofertiliserarelikelytoexplaintherapidgrowth.Atothersites,wheremoreconventionalestablishmentwas
practiced,suchasatthemorenortherlyoneatGlenbranterthesameheightwasonlyreachedintenyears.
4.1CritiqueofthemethodsThisstudyrepresentsthefirstcharacterisationofgrowthofE.gunniiintheUKandenablesabroadcomparisonwithothertreespeciessuitedtobiomassproduction.Thestudyhascollatedallhistoricdatathatwasavailable,
fromanumberofsourcesandsorepresentsthebestinformationcurrentlyavailable.Itisacknowledgedthatthesedatarepresentedrelativelyfewsites,butthattheyshowedareasonabledistributionacrosstheUK(Fig.1).Eachsite
alsoprovidedonlyalimitedamountofchronologicaldataandthatthereweremoredatafortreeheightandfurthermoretheanalysisofDBHdatawascomplicatedbytherangeofspacingemployedacrosstheplantings.Toreducethis
variation,datafromarestrictedrangeofspacingwasusedtodeterminetherelationshipbetweenDBHandheight.ShouldE.gunniibemoreextensivelyplantedintheUKitisrecommendedthatpermanentgrowthplotsbeestablished
acrosstherangeofsiteswhereitisestablishedtoobtainachronologicalseriesofdataandtodeterminedifferencesingrowthduetoclimate,soilsandotherfactors.
4.2WiderimplicationsofthefindingsOnwarmersites,eucalyptsingeneralandE.gunniispecificallyoffertheopportunitytorapidlygrowwoodybiomassovershortrotations.Kerr[20]recognisedthepotentialanddescribedeucalyptsandNothofagusspp.asthe
fastestgrowinggroupsoftreesintheUK.Thisstudysupportshisobservations;atDaneshillinNottinghamshire,standsofE.gunniiachievedaheightofover10matfiveandahalfyearsofage,aresultofintensiveestablishmentusing
completecultivationandtheuseofaplasticmulchtocontrolweedcompetitionandsewagesludgeasanitrogenrichfertiliser.However,ittookmorethantenyearsfortreestoreachthesameheightatGlenbranter,acoldersitein
southwestScotlandandwhereestablishmenttechniqueswerelessintensive(Table3).Currently,predictingtheinfluenceoffactorssuchassiteandestablishmenttechniquesongrowthisimprecise,forexampletreesatThoresby
EstateinNottinghamshirewererelativelyneglected,yetgrewrapidlyattainingaheightofover16min10years.However,normallyhighratesofgrowthareobtainedwhenE.gunniiisplantedonappropriatesitesinconjunctionwith
intensivesilviculture.
HighmortalityofE.gunniiinmanyplantingshashadamajorimpactonpotentialproductivityandifplantedonagreaterscalethensitesunsuitableforE.gunniineedtobeidentified.InthemidPyrennesinFranceazonationof
sitesbyclimateandsoilswasdevelopedtopredicttheriskofcolddamagetoE.gunniiandE.gundal[21].AcrossFrance,fourzonesweredefinedintermsofthesuitabilityofclimateandsoils,basedontolerableminimumthresholdsof
mid-wintertemperaturesandtheriskoflimeinducedchlorosis.Zonationwasbasedontheaveragenumberofdayswhenminimummid-wintertemperaturesof-12°CforE.gundaland-18°CforE.gunniiwereexceeded.Asimilar
approachcouldbeadoptedtoidentifysitesappropriateforplantingE.gunniiintheUK,whichcouldfollowthatofthemapsproducedforNothofagusnervosainHardcastle[19].Theriskofhighmortalityofeucalyptswouldbefurther
reducedbytheuseofgeneticmaterialthatwaswelladaptedtoUKconditions.
E.gunniiisknownasbeingparticularlycoldhardybutisnotthemostproductiveeucalyptspeciesgrownintheUK.Italsohaspoorstemformanditsfoliageispalatable,increasingthepotentialofdamagefrombrowsing.
HoweveronsuitablesitesproductivitywillbehigherthanmostnativeornaturalisedtreesandafurtherjustificationforplantingE.gunniiisthedrivetobroadentherangeoftreesspeciesplantedinproductionforestryintheUK[22].
Results fromhistoricand recent trialplantingsand indicate thatother speciesof eucalypts canbe successfullygrown inwarmerpartsof theUK.ForexampleEucalyptusglaucescens, that offers lower cold tolerance but greater
productivity,betterstemformandislesspronetodamagebybrowsingmammals[23].
5ConclusionTherelativecoldhardinessofE.gunniioffersanopportunitytogrowEucalyptusacrossawiderrangeofsitesthanispossiblewithotherEucalyptusspecies.ThesmallareaofplantingofE.gunniiintheUKandalackoftime
seriesdatamakespredictinggrowthratesdifficultforspecificsites.Itisclearhoweverthatoncertainsiteshighyieldsofwoodystembiomassof8Mgha−1y−1ormorearepossiblefromE.gunnii intheUK,butthatithasbeen
inconsistentlyachievedinpractice.ThegrowthatDaneshillprovidesevidenceofthebenefitsofintensivesilvicultureanditrecommendedthatsimilarestablishmentpracticesbeadoptedifproductivityistobemaximised.Toensure
goodsurvivalandeffectivesitecaptureitisalsorecommendedthatplantingbeconfinedtowarmerareasintheUKuntilabetterunderstandingofsitesuitabilityisachieved.WhileE.gunniiisnotaspeciesthatwillbewidelyplanted
duetothecold,itcanextendtherangeoftreespeciesavailableforplantingforbiomass.
AcknowledgementsThisstudycouldnothavebeencompletedwithoutthehelpofmanypeople.DrRichardJinkskindlyprovidedallfilesofexperimentsusingE.gunniiatForestResearch,whileTedWoodisseWooddisseprovided
datafromthetrialsestablishedatDaneshillbyNottinghamshireCountyCouncil.SiteinformationonGlanbranterwaskindlysuppliedbyFraserMacDonaldofForestryCommissionScotland.Wewouldalsoliketo
thankthetwoanonymousreviewersfortheirconstructivecommentsandDrJamesMorisonofForestResearchforcommentsonanearlierdraftofthepaper.Finallytheauthorswouldliketoacknowledgefundingfor
someoftheworkfromtheUniversityofCumbria'sResearch,ScholarshipandDevelopmentFund.
AppendixA.SupplementarydataSupplementarydatarelatedtothisarticlecanbefoundathttps://doi.org/10.1016/j.biombioe.2017.10.037.
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AppendixA.SupplementarydataThefollowingisthesupplementarydatarelatedtothisarticle:
MultimediaComponent1
Supplementarymaterial (Pleasesubstitutetheoriginalsupplementarymaterialsfilewiththeoneattached.)
alt-text:Supplementarymaterial
Highlights
• HistoricgrowthofE.gunniiindicatedyieldsof16m3ha−1y−1or8Mgha−1y−1over20yearrotations.
• Yieldwashighlyvariableacrosssitesbutitislikelythatintensivesilvicultureincreasesyields.
• Untilthereisabetterunderstandingoftheclimaticlimitstosurvivalandgrowthplantingshouldfocusonsiteswithlowriskoffrost·Untilclimaticlimitstosurvivalandgrowtharebetterunderstood,plantingshouldbeonsiteswith
lowriskoffrost..
Query:Pleaseconfirmthatgivennamesandsurnameshavebeenidentifiedcorrectlyandarepresentedinthedesiredorderandpleasecarefullyverifythespellingofallauthors’names.Answer:Yes
Query:Yourarticleisregisteredasaregularitemandisbeingprocessedforinclusioninaregularissueofthejournal.IfthisisNOTcorrectandyourarticlebelongstoaSpecialIssue/Collectionpleasecontactv.natarajan.2@elsevier.comimmediatelypriortoreturningyourcorrections.Answer:Yes