12
Leslie, Andrew, Mencuccini, Maurizio and Perks, Mike P. (2018) Preliminary growth functions for Eucalyptus gunnii in the UK. Biomass and Bioenergy, 108 . pp. 464-469. Downloaded from: http://insight.cumbria.ac.uk/id/eprint/3287/ Usage of any items from the University of Cumbria’s institutional repository ‘Insight’ must conform to the following fair usage guidelines. Any item and its associated metadata held in the University of Cumbria’s institutional repository Insight (unless stated otherwise on the metadata record) may be copied, displayed or performed, and stored in line with the JISC fair dealing guidelines (available here ) for educational and not-for-profit activities provided that • the authors, title and full bibliographic details of the item are cited clearly when any part of the work is referred to verbally or in the written form • a hyperlink/URL to the original Insight record of that item is included in any citations of the work • the content is not changed in any way • all files required for usage of the item are kept together with the main item file. You may not • sell any part of an item • refer to any part of an item without citation • amend any item or contextualise it in a way that will impugn the creator’s reputation • remove or alter the copyright statement on an item. The full policy can be found here Alternatively contact the University of Cumbria Repository Editor by emailing [email protected] .

Leslie, Andrew, Mencuccini, Maurizio and Perks, Mike P. (2018) … · 2019. 3. 23. · Leslie, Andrew, Mencuccini, Maurizio and Perks, Mike P. (2018) Preliminary growth functions

  • Upload
    others

  • View
    7

  • Download
    0

Embed Size (px)

Citation preview

  • Leslie,  Andrew,  Mencuccini,  Maurizio  and Perks,  Mike P.   (2018) Preliminary growth functions for Eucalyptus gunnii in the UK. Biomass and Bioenergy, 108 . pp. 464469. 

    Downloaded from: http://insight.cumbria.ac.uk/id/eprint/3287/

    Usage of any items from the University of  Cumbria’s  institutional repository ‘Insight’  must conform to the  following fair usage guidelines.

    Any item and its associated metadata held in the University of Cumbria’s  institutional  repository  Insight  (unless stated otherwise on the metadata record) may be copied, displayed or performed, and stored in line with the JISC fair dealing guidelines (available here) for educational and notforprofit activities

    provided that

    • the authors, title and full bibliographic details of the item are cited clearly when any partof the work is referred to verbally or in the written form 

    • a hyperlink/URL to the original Insight record of that item is included in any citations of the work

    • the content is not changed in any way

    • all files required for usage of the item are kept together with the main item file.

    You may not

    • sell any part of an item

    • refer to any part of an item without citation

    • amend any item or contextualise it in a way that will impugn the creator’s reputation

    • remove or alter the copyright statement on an item.

    The full policy can be found here. Alternatively contact the University of Cumbria Repository Editor by emailing [email protected].

    http://www.ukoln.ac.uk/services/elib/papers/pa/fair/mailto:[email protected]://insight.cumbria.ac.uk/legal.html#section5

  • 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,∗

    [email protected]

    M.Mencuccinib

    [email protected]

    M.P.Perksc

    [email protected]

    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.

    References[1]L.J.SheppardandG.R.Cannell,FrosthardinessofsubalpineeucalyptsinBritain,Forestry60(2),1987,239–248.

    [2]T.BoothandL.Pryor,Climaticrequirementsofsomecommerciallyimportanteucalyptspecies,For.Ecol.Manag.43,1991,47–60.

    [3]J.G.Purse,UnitedKingdom.Eucalyptusgunnii–thepioneerAustraliantreeinBritain,Aust.Plants25(205),2010,376–382.

    [4]J.Evans,Are-assessmentofcold-hardyeucalyptsinGreatBritain,Forestry59(2),1986,223–242.

    [5]M.Cope,A.D.LeslieandA.Weatherall,ThepotentialsuitabilityofprovenancesofEucalyptusgunniiforshortrotationforestryintheUK,Q.J.For.102(3),2008,185–194.

    [6]AFOCEL,Eucalyptus:35ansd'experimentationdanslesuddelaFrance.InformationsForet,No2–2007,FicheNo747,2007,AFOCEL;France.

    [7]G.KerrandJ.Evans,Eucalyptsforshortrotationforestry:acasestudyforthe1980s,Q.J.For.105(2),2011,109–117.

    [8]T.Wooddisse,PersonalCommunication.EmailTitledDaneshillData,June2012.

    [9]C.J.BennettandA.D.Leslie,AssessmentofaEucalyptusprovenancetrialatThetfordandimplicationsforEucalyptusasabiomasscropinlowlandBritain,Q.J.For.96,2003,257–264.

    [10]A.D.Leslie,M.MencucciniandM.P.Perks,GrowthandSurvivalofprovenancesofsnowgums(Eucalyptuspauciflora)andotherhardyeucalyptsatthreetrialsinEngland,Scott.For.67(2),2013,30–39.

    [11]M.ForrestandT.Moore,Eucalyptusgunnii:apossiblesourceofbioenergy?Shortcommunication,BiomassBioenerg32(10),2008,978–980.

    [12]C.P.Mitchell,J.B.Ford-RobertsonandM.P.Waters,EstablishmentandMonitoringofLargeScaleTrialsofShortRotationCoppiceforEnergy.WoodSupplyResearchGroup,1993,DepartmentofForestry,UniversityofAberdeen.

    [13]C.J.Potter,CoppicedTreesasEnergyCrops.FinalReporttotheEnergyTechnologySupportUnitoftheDepartmentofEnergy,ContractE/5A/CON/1078/174/063,1990.

    [14]AFOCEL,InformationEucalyptus,Itinerairetechniqueetproduction.FicheInformationEucalyptusNo.2-Avril2003,2003,AFOCEL;France.

  • QueriesandAnswersQuery:Pleasecheckwhetherthedesignatedcorrespondingauthoriscorrect,andamendifnecessary.Answer:Thecorrespondingauthoriscorrect

    Query:Thecountrynamehasbeeninsertedforthe[a,c]affiliations.Pleasecheckalltheaffiliation,andcorrectifnecessary.Answer:Theyarecorrect

    Query:Highlightsshouldonlyconsistof"125"charactersperbulletpoint,includingspaces.Thehighlightsprovidedaretoolong;pleaseeditthemtomeettherequirement.Answer:Theyhavebeeneditedtoconformtothecharacterlimit

    [15]FCBA,Elaborationd'unmodeledecroissancepourl'Eucalyptusgundal,2012,InstitutTechnologique;Cesras,France.

    [16]B.Zeide,Analysisofgrowthequations,For.Sci.39(3),1993,594–616.

    [17]S.B.Devaranavadgi,S.Bassappa,R.B.Jolli,S.Y.WaliandA.N.Bagali,Height-agecurvemodellingfordifferenttreespeciesinthedrylandsofnorthKarnataka,Glob.JSci.Front.Res,AgricVetSci.13(1),2013,[online]Lastaccessedon29June2013atURLhttps://globaljournals.org/GJSFR_Volume13/3-Height-Age-Growth-Curve-Modelling.pdf.

    [18]AFOCEL,InformationEucalyptus,Presentationgeneraledel’eucalyptus.FicheInformationEucalyptusNo.1–Septembre2003,2003,AFOCEL;France.

    [19]P.D.Hardcastle,Areviewoftheimpactsofshort-rotationforestry,LTSInt.2006,[online]Lastaccessedon27June2007http://www.forestry.gov.uk/pdf/SRFFinalreport27Feb.pdf/$FILE/SRFFinalreport27Feb.pdf.

    [20]G.Kerr,AReviewofthegrowth,yieldandbiomassdistributionofspeciesplantedintheenglishnetworktrialsofshortrotationforestry,In:H.McKay,(Ed),ShortRotationForestry:ReviewofGrowthandEnvironmentalImpacts,ForestResearchMonograph,2,ForestResearch,Surrey,2013,2011,135–164.

    [21]FCBA,Propositiondezonagepédoclimatiquepourl’implantationdel’eucalyptusenFrance,FCBAInfo,January2010,2010,FCBAInstitutTechnologique;Cesras,France.

    [22]DEFRA,GovernmentForestryandWoodlandPolicyStatementIncorporatingtheGovernment'sResponsetotheIndependentPanelonForestry'sFinalReport,2013,DEFRA;London.

    [23]J.PurseandA.D.Leslie,Eucalyptus–Part1,specieswithforestrypotentialintheBritishIsles,Q.J.For.110(2),2016,88–97.

    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