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Ressources naturelles Canada Natural Resources Canada Canadian Wood Fibre Centre Working together to optimize wood fibre value – creating forest sector solutions with Impacts of Partial Harvesting on Stand Dynamics and Tree Grades for Northern Hardwoods of the Acadian Forest Region D. Edwin Swift, Isabelle Duchesne, Chhun-Huor Ung, Xiaodong Wang, and Roger Gagné CANADIAN FOREST SERVICE CANADIAN WOOD FIBRE CENTRE INFORMATION REPORT FI-X-009 2013
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Page 1: Impacts of Partial Harvesting on Stand Dynamics and Tree Grades …cfs.nrcan.gc.ca/pubwarehouse/pdfs/34981.pdf · 2013-10-24 · Impacts of Partial Harvesting on Stand Dynamics and

Ressources naturellesCanada

Natural ResourcesCanada

Canadian Wood Fibre CentreWorking together to optimize wood fi bre value – creating forest sector solutions with

Impacts of Partial Harvesting on Stand Dynamics and Tree Grades for Northern Hardwoods of the Acadian Forest Region

D. Edwin Swift, Isabelle Duchesne, Chhun-Huor Ung, Xiaodong Wang, and Roger Gagné

CANADIAN FOREST SERVICECANADIAN WOOD FIBRE CENTRE

INFORMATION REPORT FI-X-009

2013

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cfs.nrcan.gc.ca

For more information about the Canadian Forest Service,

visit our Web site or contact any of the following

Canadian Forest Service establishments.

Canadian Forest Service Contacts

Atlantic Forestry CentreP.O. Box 40001350 Regent Street SouthFredericton, NB E3B 5P7Tel.: 506-452-3500 Fax: 506-452-3525cfs.nrcan.gc.ca/regions/afc

Atlantic Forestry CentreCorner Brook Offi ceP.O. Box 96026 University DriveCorner Brook, NL A2H 6J3Tel.: 709-637-4900 Fax: 709-637-4910

Laurentian Forestry Centre1055 du P.E.P.S. P.O. Box 10380 Sainte-Foy Stn. Québec, QC G1V 4C7Tel.: 418-648-3335 Fax: 418-648-5849cfs.nrcan.gc.ca/regions/lfc

Great Lakes Forestry Centre1219 Queen St. EastSault Ste. Marie, ON P6A 2E5Tel.: 705-949-9461 Fax: 705-759-5700cfs.nrcan.gc.ca/regions/glfc

Northern Forestry Centre5320-122nd StreetEdmonton, AB T6H 3S5Tel.: 403-435-7210 Fax: 403-435-7359cfs.nrcan.gc.ca/regions/nofc

Pacifi c Forestry Centre506 West Burnside RoadVictoria, BC V8Z 1M5Tel.: 250-363-0600 Fax: 250-363-0775cfs.nrcan.gc.ca/regions/pfc

Headquarters580 Booth St., 8th Fl.Ottawa, ON K1A 0E4contact-contactez.nrcan-rncan.gc.cacfs.nrcan.gc.ca/regions/nrc

Canadian Wood Fibre Centre580 Booth St., 7th Fl.Ottawa, ON K1A 0E4Tel.: 613-947-9001Fax: 613-947-9033cwfc.nrcan.gc.ca

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Impacts of Partial Harvesting on Stand Dynamics and Tree Grades for Northern Hardwoods of the Acadian Forest Region

D. Edwin Swift1, Isabelle Duchesne2,3, Chhun-Huor Ung2, Xiaodong Wang4, and Roger Gagné2

1Natural Resources CanadaCanadian Forest Service - Canadian Wood Fibre Centre

P.O. Box 4000, Fredericton, NB, E3B 5P7, Canada

2Natural Resources CanadaCanadian Forest Service - Canadian Wood Fibre Centre

1055 rue du P.E.P.S., P.O. Box 10380, Quebec, QC, G1V 4C7, Canada

3Formerly with FPInnovationsWood Products, Lumber Manufacturing Department

319, rue Franquet, Quebec, QC, G1P 4R4, Canada

4Luleå University of TechnologyDepartment of Wood Products Engineering,

Luleå, Sweden (formerly with Natural Resources Canada

Canadian Forest Service, Canadian Wood Fibre Centre)

Information Report FI-X-009(Revised 11 October 2013)

Natural Resources CanadaCanadian Forest Service – Canadian Wood Fibre Centre

P.O. Box 4000, Fredericton, NB E3B 5P7

2013

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ISSN 1915-2264ISBN 978-1-100-22011-6 Catalog No. Fo148-1/9E-PDF © Her Majesty the Queen in Right of Canada 2013

• Information contained in this publication or productmay be reproduced, in part or inwhole,andbyanymeans,forpersonalorpublicnon-commercialpurposes,withoutchargeorfurtherpermission,unlessotherwisespecified.

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• Commercial reproduction and distribution is prohibited except with written permission fromNaturalResourcesCanada.Formoreinformation,[email protected].

NRCan,CanadianForestService-CanadianWoodFibreCentreP.O. 4000Fredericton,N.B.CanadaE3B5P7Tel.:(506)452-3500Fax:(506)452-3525

Editing,design,layoutby C.M.Simpson,ELSDesignandlayoutofcoverandfiguresbySandraBernier

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AbstractThe objectives of commercial thinning and partialharvesting have traditionally been to improve andincrease theamountofhigherquality stems for sawlogand veneer products, reduce losses from mortality,and reduce harvest rotations for even-aged silviculturalsystems.Literatureontheimpactofpartialharvestingonstanddynamics,treegradechanges,fibreattributes,andpotential forestproducts topromoteuneven-agedstandstructures and management is scarce for the northernhardwoodforestsof theAcadianForestRegion.A long-termselectionharveststudyestablished inwest-centralNew Brunswick provides an opportunity to obtain suchinformation under the Eastern Hardwood ResearchInitiative of FPInnovations and Natural ResourcesCanada,CanadianWoodFibreCentre.Resultsfromthestudysuggestthatthetreatedstandsbenefitedintermsofgrowthand improvedquality,butstand restoration isa slow process in second-growth, uneven-aged standson20-yearharvestcycles.Standgrowthresponsesandtreegradechangesforboththecontrolandtreatedplotsare within the values reported for northern hardwoodstandsandareinfluencedbyanumberoftreatmentandbiologicalfactors.

The results of 15 years of observation are discussedin the context of the major publications existing in theliterature for stand dynamics, tree grade changes, andtheoccurrenceofingrowth.Insummary,thegreaterthebasalarearemoved,thegreaterthediameterresponseofindividualresidualtreesinthethinnedplots.Thethinnedstands have not recovered the basal area values thatexistedatthestartofthisstudy.Annualvolumeincrementgrowthratessuggestthathardwoodstandssubjectedtopartial removals produced better growth response thanwaspredictedatthestartofthestudy.Standrestorationand stem quality improvement are slow processes thatmaynotbeachievedwithafirstharvestentryinsecond-growth northern hardwood stands that have repeatedlyhadthehigherqualitytreesremovedinthepast.Changesintreegradeswereobservedtobeverydynamicinthesesecond-growth northern hardwood stands because ofa number of factors such as initial stem quality, stemgrowth, mortality rates, harvest rates (both regulatedandunregulated),species,andsitequality.Asexpected,ingrowthoccurredmorefrequentlyinthethinnedstandsthaninthecontrolstands.Exceptforonestudysite,whichfeaturedamore“mixedwood”characteristic,ingrowthdidnot exist as a diverse mixture of desired tree speciesbut as a secondary canopy ofAmerican beech (Fagus grandifolia Ehrh.) and sugar maple (Acer saccharum Marsh.).

RésuméL’éclaircie commerciale et la coupe partielle visenthabituellement à améliorer et à augmenter la quantitédes tiges de haute qualité pour la production de billesde sciage et de produits de placage ainsi qu’à réduirelamortalitédesarbresetlarévolutiondespeuplementsen régime équienne. Peu d’études ont été publiéesconcernant les effets de la coupe partielle sur ladynamique des peuplements, la qualité des arbres, lesattributs des fibres et les produits forestiers possiblespour favoriser l’aménagement inéquiennedes forêtsdefeuillusnordiquesdelarégionforestièreacadienne.UneétudeàlongtermesurlacoupesélectivedansleCentreOuestduNouveau-Brunswickoffreuneoccasiond’obtenircegenrededonnées,danslecadredel’Initiativesurlesfeuillusdel’EstdeFPInnovationsetduCentrecanadiensurlafibredeboisdeRessourcesnaturellesCanada.Lesrésultats de l’étudeportent à croire que le traitement aaugmentélacroissanceetlaqualitédesarbres,maislerétablissement des peuplements est un processus lentdans les peuplements inéquiennes de seconde venuesoumisàdescyclesderécoltede20ans.Lacroissancedespeuplementset l’évolutionde laqualitédesarbresdans les parcelles témoins et les parcelles traitéesmontrent des valeurs analogues à celles signaléesdans les autres études sur les peuplements de feuillusnordiquesetsontlejeud’uncertainnombredefacteursbiologiquesetdefacteursrelatifsautraitement.

Nousexaminonslesrésultatsde15annéesd’observationà la lumière des principales études publiées sur ladynamique des peuplements, l’évolution de la qualitédesarbresetlerecrutement.Enrésumé,pluslasurfaceterrière est réduite par une coupe d’éclaircie, plus lediamètredesarbresrésiduelsaugmente.Lespeuplementséclaircisn’onttoutefoispasatteintlasurfaceterrièrequ’ilsavaient au début de l’étude. Les taux d’accroissementannuel du volume indiquent que les peuplements defeuillussoumisàdescoupespartiellesontprésentéunemeilleurecroissancequeprévuaudébutde l’étude.Lerétablissement du peuplement et l’amélioration de laqualité des tiges se font lentement, et ne s’obtiennentpasnécessairementaprèsunepremièrecoupedanslespeuplements de feuillus nordiques de seconde venueoù lesarbresdeplusgrandequalité ont été récoltésàplusieursreprisesparlepassé.L’évolutionobservéedelaqualitédesarbresesttrèsvariabledanscespeuplementsenraisondeplusieursfacteurscommelaqualitéinitialedes tiges, la croissancedes tiges, le tauxdemortalité,le taux de récolte (réglementé ou non), l’essence et laqualité du site. Comme prévu, le recrutement est plusfréquent dans les peuplements éclaircis que dans lespeuplements témoins.Dans tous nos sites sauf un, oùlepeuplementestplusmixte,lerecrutementneconsistepasenunmélangediversifiéd’essencesdésirées,maisen un dense couvert secondaire de hêtres à grandesfeuilles (Fagus grandifolia Ehrh.) et d’érables à sucre(Acer saccharumMarsh.).

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Table of Contents

Abstract ......................................................................................................................................................................................... 3Introduction ......................................................................................................................................................................................... 6Objectives ......................................................................................................................................................................................... 7Materials and Methods........................................................................................................................................................................ 9 Study site descriptions .................................................................................................................................................. 9 Treatments .......................................................................................................................................................................11 Experimental design .....................................................................................................................................................11 Tree measurements ......................................................................................................................................................11Results .......................................................................................................................................................................................13 Stand dynamics ..............................................................................................................................................................13 Tree grade changes .......................................................................................................................................................17 Ingrowth dynamics .......................................................................................................................................................19Discussion .......................................................................................................................................................................................22 Stand dynamics .............................................................................................................................................................22 Volume increment ..................................................................................................................................................22 Basal area ..................................................................................................................................................................23 Stem diameter growth ...........................................................................................................................................24 Tree grade changes .......................................................................................................................................................25 Ingrowth dynamics .......................................................................................................................................................27Conclusions .......................................................................................................................................................................................29 Stand dynamics ..............................................................................................................................................................29 Tree grade changes .......................................................................................................................................................29 Ingrowth dynamics .......................................................................................................................................................29Recommendations ..............................................................................................................................................................................30 Stand dynamics ..............................................................................................................................................................30 Tree grade changes .......................................................................................................................................................30 Ingrowth dynamics .......................................................................................................................................................30Acknowledgments ..............................................................................................................................................................................31Literature Cited ....................................................................................................................................................................................32Appendix I - Modified NBDNR Tree Product Grading System .............................................................................................40Appendix II - Staff ................................................................................................................................................................................41

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List of Tables

Table 1 Percent occurrence of tree species in 1993 weighted by basal area before harvesting for each study site and treatment ............................................................................................................................. 9Table 2 Age information at stump height by study site and treatment in 2010 ....................................................10Table 3 Different site characteristics among the three ecodistricts of the study sites (from Zelazny 2007) ......................................................................................................................................................10Table 4 Product potential as a percentage for the crop trees by study site, treatment, and measurement date using the methods of McDonald (1999, NBDNR) and Monger (2007, ABCD) ....................................................................................................................................................................18

List of Figures

Figure 1 Location of the six study sites in New Brunswick; 1 = Grand John #2, 2 = McLean’s Brook, 3 = Grand John #1, 4 = Dunbar #1, 5 = Dunbar #2, 6 = Wiggin’s Corner ..................................................... 8Figure 2 Basal area (m2/ha) in 1993 before thinning by treatment and study site ................................................12Figure 3 Basal area removal (m2/ha) in 1993 by treatment and study site ................................................................13Figure 4 Average diameter (cm) growth response of the crop trees for four of the study sites .......................14Figure 5 Basal area (m2/ha) response by treatment and study site .............................................................................14Figure 6 Average annual volume increment (m3/ha) for the first 5 years by treatment and study site .................................................................................................................................................................15Figure 7 Average annual volume increment (m3/ha) for the last 15 years by treatment and study site .................................................................................................................................................................16Figure 8 Average annual volume increment (m3/ha) for the last 10 years by treatment and study site ..................................................................................................................................................................16Figure 9 Tree product quality (%) using (McDonald (1999) between the control (a) and thinned (b) plots for the measurement periods .......................................................................................17Figure 10 Tree product quality (%), after Monger (2007), between the control and thinned plots for four of the study sites 15 years after treatment ..............................................................................19Figure 11 Occurrence of ingrowth (a) 5 and (b) 15 years after treatment, by treatment and study site .................................................................................................................................................................20Figure 12 Occurrence of ingrowth in 2008 by treatment, study site, and species ..................................................21

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Introduction

Northernhardwoodsareamajor forest type ineasternCanada (Farr 2003).Thesestands containecologically and economically important tree species and associations in the region (Mulliens andMcKnight 1981, Farr 2003). The hardwood lumber industry in eastern Canada is currently in avulnerablepositionbecauseofreduceddemandfromtheAmericanmarketaswellasthetransferofmanufacturingfacilitiesforfurnitureandothersecondaryproductstootherregions(OuelletandFournier2009;F.Fournier,personalcommunication,21September2010,Fredericton,NewBrunswick;D.Toole,personalcommunication,24–25March2011,Truro,NovaScotia).Theallowableannualcut(AAC)isbeingadjustedinsomejurisdictionstoaccountforthechangesoccurringinthehardwoodresourceandindustry(J.Landry,F.Fournier,andD.E.Swift,personalcommunication,22February2012).ToaddressthepresentconcernsandimprovethecompetitivenessofthehardwoodindustryineasternCanada,ahardwoodresearchinitiativewasundertakenin2008byNaturalResourcesCanada,CanadianWoodFibreCentreandFPInnovationsalongthevaluechainofhardwoodproducts.Thishardwoodresearchinitiativewasdeveloped inpartnershipwithresourcemanagersand industrial forestryorganizationsfromNewBrunswick,NovaScotia,Ontario,andQuebec.Participationbyuniversityresearcherswasalsoincludedintheprogram.FundingwasprovidedbyNaturalResourcesCanada’sTransformativeTechnologiesProgram.TheHardwoodResearch Initiativecomprises18projects that rangeacrossmarketanalysis,userneedanalysis,manufacturing,harvesting,andtheimpactofsilvicultureonthehardwood resource (J. Landry, F. Fournier, and D.E. Swift, personal communication, 22 February2012).Thisreportprovidespreliminaryresultsofoneofthethreeprojectsthatconcernknowledgeofeconomicandsilviculturalopportunities.

TreequalityofhardwoodsisanimportantfactorthatisusedineasternCanadatoinfluencedecisionsmadebyforestersforsilviculturalprescriptionsatthestandandlandscapelevels.Potentialgradesforpresentandfutureproductsarebasedonexternalstemfeaturesorattributes.Despitetheusefulnessofprojectedtreegrades,therearealimitednumberofstudiesineasternCanadathatdocumenttheaccuracyoftreegradeprojectionsthroughtimeintermsofgrowthresponse,reductionoflossesfrommortality, improvedstemquality,andvaluefor futureforestproducts(Guillemetteetal.2008,Fortinet al. 2009; S. Bédard andA. Stinson, personal communication, 19–21 October 2010, Hunstville,Ontario).A former partial harvest study in west-central New Brunswick provided an opportunity toexamine theaforementioned factorsconcerning treegradeprojections.Project17of theHardwoodResearch Initiative examines the impact of partial harvesting on stand dynamics, accuracy of treegradeprojections,woodfibreattributes,andproductrecoveryfornorthernhardwoodsoftheAcadianForestRegion.TheobjectivesofProject17arelistedonthenextpage.

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Objectives1. VerifycurrenttreegradeprojectionsandproductsusedinNewBrunswicktoclassifypotential

forestproductsandmortalityrisk.

2. DeterminetheaccuracyoftreegradeprojectionsforhardwoodspeciesoftheAcadianForestRegion.

3. DeterminewhethertheaccuracyoftreegradeprojectionsforhardwoodspeciesintheAcadianForestRegionisinfluencedoraffectedbypartialharvesting,initialtreesize(diameteratbreastheight(dbh)andcrown),initialcrownposition,andsiteconditions.

4. DeterminethedifferentlevelsofmortalityriskbasedontreegradeprojectionsbyspecificspeciesmortalitymodelsforindividualtreesoftheAcadianForestRegion.

5. Examinetheimpactsandrelationshipsofsilviculturalpractices(densityregulationthroughpartialharvesting)ontreegrowth,standdynamics,externalquality,fibreattributes,andvalueinnorthernhardwoodforestsoftheAcadianForestRegion.

6. Examinetheimpactsandrelationshipsofsilviculturalpractices(densityregulationthroughpartialharvesting)onwoodcolorofsugarmaple(Acer saccharumMarsh.),andyellowbirch(Betula alleghaniensisBritton)innorthernhardwoodforestsoftheAcadianForestRegion.

7. Deviseandvalidatestatisticalequationspredictingstandingtreevalueinrelationtovariablesselectedatthetreeandstandlevelsfortheircosteffectivenessandwoodpropertiesderivedfromsoundingstakenwithacousticsensorsonstandingtrees.

8. Incorporateinformationobtainedinthisstudytoregionalgrowthandyieldmodels,suchasStaman(Norfolk2004),usedbyforestersintheMaritimeprovincesofCanada.

9. Incorporateinformationobtainedinthisstudytoregionalinventoryproceduresusedbyforesters in eastern Canada.

Thisreportprovidesthepreliminaryresultsforstanddynamics,treegradechanges,andtheoccurrenceofingrowth(Objective5).

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Figure 1. Location of the six study sites in New Brunswick; 1 = Grand John #2, 2 = McLean’s Brook, 3 = Grand John #1, 4 = Dunbar #1, 5 = Dunbar #2, 6 = Wiggin’s Corner.

Matapédia DalhousieCampbellton

Bathurst

Caraquet Shippagan

TracadieSaint Quentin

Saint Léonard

Grand FallsGrand-Sault

Plaster Rock

Perth-Andover

Doaktown

Mitamichi

Chatham

Richibucto

Shediac

Bouctouche

ChipmanMintoNackawic

McAdam

OromoctoFrederiction

SussexAlma

St. Martins

Saint JohnSt. GeorgeSt. Stephen

Calais St. Andrews

Amherst

Woodstock

HoultonMoncton

Sackville

Presque Isle

Edmundston

Van Buren

Miscou Island

Île Lamèque

Deer Island

Campobello Island

Grand Manan Island

MAINE(U.S.A.)(É.-U.)

QUÉBEC

NOVASCOTIA

NOUVELLE-ÉCOSSE

PRINCEEDWARDISLAND

ÎLE-DU-PRINCE-

ÉDOUARD

R E S T I G O U C H E

G L O U C E S T E R

N O R T H U M B E R L A N D

K E N T

M A D A W A S K A

V I C T O R I A

C A R L E T O N

Y O R K

SU

NB

UR

Y Q U E E N S

A L B E R T

K I N G S

C H A R L O T T E C H A R L O T T E

W E S T M O R L A N D

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34/5

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Materials and MethodsStudy Site Descriptions

ThesixstudysiteswereobtainedfromanearliernorthernhardwoodstudyonCrownLicense8ofAVNackawicInc.inwest-centralNewBrunswick(Fig.1).Thepurposeoftheoriginalstudywastoexaminethegrowthresponseandstanddynamicsofnorthernhardwoodstandstoanuneven-agedsilviculturalprescription.ItistheoldestpartialharveststudyinnorthernhardwoodstandsinNewBrunswick.ThestudysitesusedinthisresearchprojectarelocatedinthenorthernhardwoodsoftheAcadianForestRegion(Rowe1972).Thesestandsconsistedprimarilyofvariousamountssugarmaple,yellowbirch,redmaple(Acer rubrumL.),andAmericanbeech(Fagus grandifoliaEhrh.)withminorassociationsofwhiteash(Fraxinus americanaL.),stripedmaple(Acer pensylvanicumL.),ironwood(Ostrya virginiana (Mill.)K.Koch),tremblingaspen(Populus tremuloidesMichx.),easternhemlock(Tsuga canadensis(L.)Carr.),balsamfir(Abies balsamea(L.)Mill.),andredspruce(Picea rubensSarg.)(Table1).Beechscaledisease(Nectria coccinea(Pers.:FR.)Fr.var.faginataLohman,Watson,andAyers)hashadamajorinfluenceontheconditionandoccurrenceofAmericanbeechinthestudyarea(Boyce1961,Myren1994).Theinitial“killingfront”ofthediseaseoccurredlongago,butregionalforestpestmonitoringdidnotreportthediseaseasamajorpestproblematthetimeofstudyestablishmentin1993(MagasiandHurley1994).

Pastharvestingandagriculturalpracticeshavegreatlyinfluencedtheexistingforeststandstructuresintheregion(Zelazny2007).Examinationofincrementcorestakenfromtreesinthestudystandsin2010revealedthatthesesecond-growthhardwoodstandsaretheresultofrepeatedremovalofthebetterqualitystemsbypartialharvestingpractices(Table2).SelectionharvestingwastheharvestmethodtraditionallyusedintheMaritimesforsawlogandcustomlogproduction(Lees1978).Thestandagesrange from40 to160years forall thestudysites,providingseedlingestablishmentdatesbetween1850to1970.TheforeststandstructuresofthestudysitesareverytypicalofthehardwoodresourceintheNewBrunswick(McDonald1999)andQuebec(Roberge1988b,Guillemetteetal.2012).StanddevelopmentofhardwoodsoftheAppalachianRegionhavesimilarharvestinghistories(Milleretal.2003,2008).

Table 1 Percent occurrence of tree species in 1993 weighted by basal area before harvesting for each study site and treatment

Tree Species

Sugar Maple Yellow Birch Red Maple American Beech Other Species*

Study Site Control Thinned Control Thinned Control Thinned Control Thinned Control Thinned

Grand John #2 61 72 31 1 1 11 1 1 8 15

McLean’s Brook 49 44 17 7 0 0 34 49 0 0

Grand John #1 63 60 9 1 0 0 25 34 2 5

Dunbar #1 – 0 – 49 – 37 – 4 – 20

Dunbar #2 51 49 24 10 14 24 7 15 4 2

Wiggin’s Corner 45 19 7 7 13 38 27 23 7 13

* whiteash,stripedmaple,ironwood,tremblingaspen,easternhemlock,balsamfir,andredspruce

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AmorerecentforestclassificationsystemplacesthesestudysitesintheCentralUplandsEcoregion(Zelazny2007).ThisecoregionisthelargestinNewBrunswickandischaracterizedbyitsdiversityoflandscapefeatures.TheCentralUplandsEcoregionfeaturesacontinentalclimatethatisshelteredfrommaritimeinfluencesandreceiveslowerprecipitationamountsthansurroundingecoregions.Summersarewarmer,andwintersarecoolerthaninareasclosertotheNorthumberlandandBayofFundycoasts.Becauseofcoolnightscausedbyfrostpockets,thenorthernhardwoodforestsoftheecoregiontendtoexistontheupperslopesofridgesandhills.Thesixstudysitesexistinthreeof12ecodistrictsinthisecoregion(Table3).EcodistrictsarecharacterizedbyclimaticdifferencessuchasaverageMay–Septemberprecipitationandaverageannualdegreedaysabove5°C.TheforestsoilsoftheButtermilkandCardiganecodistrictsareconsideredlessfertilethanthoseoftheNackawicecodistrict.

Table 2 Age information at stump height by study site and treatment in 2010

Study Site Treatment Age (years) Date CommentsGrand John #2 Control 40–160 (90) 1850–1970 (1920)

Thinned 50–110 (90) 1900–1960 (1920)McLean’s Brook Control 40–100 1920–1970

Thinned 50–80 1930–1960 small sampleGrand John #1 Control 40–100 1910–1970

Thinned 40–90 1920–1970Dunbar #1 Control NA NA not established

Thinned – – not sampledDunbar #2 Control 40–140 (110) 1870–1970 (1900)

Thinned 50–110 1870–1960 small sampleWiggin’s Corner Control 70–150 (120) 1850–1940 (1890)

Thinned 50–150 (110) 1860–1960 (1900)

Table 3 Different site characteristics among the three ecodistricts of the study sites (from Zelazny 2007)

Study Site Ecodistrict Area (ha) Average elevation above sea level (m)

Average May–September precipitation (mm)

Average annual degree days above 5° C

GrandJohn#2 Buttermilk 215,338 245 450–500 1650–1750McLean’sBrookGrandJohn#1Dunbar#1 Cardigan 86,707 150 400–450 1550–1700Dunbar#2Wiggin’sCorner

Nackawic 143,646 185 425–450 1650–1700

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Treatments

A harvest intervention or cutting cycle of 20 years was chosen for the uneven-aged silviculturalprescription.Thetreeremovalprioritycriteriawereasfollows:

- maturetoover-maturespruce(Piceaspp.)andbalsamfir- treesexhibitingimminentmortality- lowqualityAmericanbeech- alltreeswith>40dbh- alltreesoflowexternalstemqualityof<40cmdbh

One of the objectives of the partial harvestswas to achieve a post-harvest residual basal area of16–18m2/ha.Theharvestoperationconsistedofmanualfellingwithchainsawsandremovaloffelledtreesbycableskidders.HarvestingofalltreeswasconductedbetweenSeptemberandDecemberof1993 on all study sites.

Experimental Design

In1993, two40x40m(1600m2)permanentsampleplots (PSPs)wereestablishedasoverstoreybaseplots ineachstandorstudysite.OnePSPwasestablished inaportionof thestand thatdidnotreceivetheharvestingprescription,hereafterreferredtoasthecontrolplot.TheotherPSPwasestablishedintheportionofthestandthatreceivedtheharvestingprescription,hereafterreferredtoasthethinnedplot.Theestablishmentofbothcontrolandthinnedplots inthesamestandorstudysiteproduceda“pairedplot”experimentaldesign.Becauseoftimeconstraintsin1993,acontrolplotwasnotestablishedattheDunbar#1studysite(Table2).Insubsequentyears,thethinnedareaattheDunbar#1studysitereceivedunauthorizedpartialharvestingofthebetterqualitytreesandtheareawasabandonedasastudylocation.Becauseoftheseestablishmentinconsistenciesandunauthorizedharvestingactivities, theDunbar#1studysitewasexcluded from furtherexaminationandanalysisin this report.WithineachPSP, four20x20msub-plotsorquadratswereestablished to facilitateoverstoreytreelocationandmeasurement.Quadratswerenumbered1to4,startinginthesouthwestcornerofthePSP.Tominimizeedgeeffectsduetofutureroadsandstandtreatments,a20-to40-mbufferstripwasestablishedaroundeachPSP.

Tree Measurements

Measurementsoftheoverstoreytreeswerecarriedoutin1993(immediatelyaftertreatment),in1998(5yearsaftertreatment),andin2008(15yearsaftertreatment).Foravarietyofreasons,overstoreytreemeasurementswerenottakenforallofthePSPsonthesedates.Aspreviouslystated,acontrolplot was never established at the Dunbar #1 study site. Some time after the 1998measurement,unauthorizedharvestingoccurred in the thinnedareaof theDunbar#1studysite to theextent thatthe treemeasurements in2008werenotpossible. In2008, the thinnedplotat theMcLean’sBrookstudysitewasclearcutbeforeanytreemeasurementswererecorded.Treemeasurementswerenotrecordedin1998fortheWiggin’sCornerstudysite.Suchdiscrepanciesorshortcomingsinsamplingoftenoccurwithlong-termresearchstudiesandcanbeadequatelyaddressedwithappropriateanalysistechniques.

In1993,alltrees>9.9cmwereclassifiedasoverstoreytreesandwereassignedanumberandmappedfor location; treemeasurementswere recorded before the harvest operation.The overstorey trees

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werenumberedconsecutively,startingintheleftfrontcornerofthefirstsub-plotorquadrat.Overstoreytreemappingwasaccomplishedbyrecordingthedistanceandbearingofeachtreefromthecornersatthebottomorfront(AandBline)ofeachsub-plot.Treesthatmeasured<9.9cmdbhin1993butsubsequentlyreachedthatmeasurementin1998or2008areconsideredingrowth.Thefollowingtreemeasurementswererecordedin1993,1998,and2008:(1)species,(2)stemdiameter(dbh,cm)at1.30m,(3)totaltreeheight(m),(4)heighttolivecrown(m),(5)crownwidth(cm),(6)crownclass(afterNyland1996),(7)crownshape,and(8)externalstemqualitybasedonthesystemusedbytheNewBrunswickDepartmentofNaturalResources(AppendixI).CrownwidthrecordingsconsistedofonemeasurementtakeninthesamedirectionasthetreemappingproceduresorAandBline.Aftertheharvestingoperationin1993,stemdamagetotheresidualtreeswasrecorded.TheexternaltreegradesystemofMonger(2007)wasalsoincludedinthe2008measurements.

In2009,treesinthebufferareassurroundingthePSPsattheDunbarandMcLean’sBrookstudysitesweresampledforthedestructiveanalysisphaseofthisproject(Project17)andProject16(Duchesneetal.2012).

Figure 2. Basal area (m2/ha) in 1993 before thinning by treatment and study site.

Bas

al A

rea

(m2 /h

a)

0

5

10

15

20

25

30

35

Grand John#2

McLean'sBrook

Grand John#1

Dunbar #2 Wiggin'sCorner

Control

Thinned

Study Sites

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ResultsStand Dynamics

Asidefromdifferencesinthefrequencyandoccurrenceoftreespecies(Table1),basalarea(m2/ha)alsovariedamongplotsandstudysites(Fig.2).Pre-treatmentbasalarearangedfrom22.9to29.3m2/ha.Theharvestingintensityonthethinnedplotsalsovariedamongstudysites:23–56%(Fig.3).Althoughnotallstudysitesachievedthetargetedresidualbasalareaof16–18m2/ha,sucharangeofharvestintensitiesispreferredforthistypeofresearchstudy.Theaveragestanddiameterresponseoftheresidualtreesexhibitedtheexpectedtrendofthegreatertheremoval,thegreaterthegrowthresponse,with thinned plots increasingmore in stemgrowth than control plots (Fig. 4).The initialdecreaseindiametergrowthforthethinnedplotswascausedbytheremovalof>40cmdbhtrees.Standbasalareagrowthonthecontrolplotsexhibitedvariableresponsestothethinningintensities(Fig.5).Insomeplots(McLean’sBrook,GrandJohn#1and#2),standbasalareashowedtheexpectedrelationshipofincreasedgrowthovertime,whereasinotherplots,standbasalarearemainedconstant(Wiggin’sCorner)ordecreased(Dunbar#2).Allthethinnedplotsexhibitedpositivebasalareagrowthfollowingtreatment.However,noneofthethinnedplotshaverecoveredtothebasalarealevelsbeforethinning 15 years ago.

Theannualvolumeincrementforthefirst5years(Fig.6)isveryvariableandcanbeclassifiedintothree distinct groups: negative response (three plots), marginal response (three plots), and verypositiveresponse(twoplots).ThehighpositivegrowthresponseforannualvolumeincrementforthisperiodoccurredontheGrandJohn#1studysite,withthethinnedplothavingahigherannualvolumeincrementgrowththanthecontrolplot.Theaveragevolumeincrementforthecontrolplotswas0.2m3/ha/yrwhereasthethinnedplotshadtwicetheaveragevolumeincrement,0.4m3/ha/yr.

Figure 3 Basal area removal (m2/ha) in 1993 by treatment and study site.

Bas

al A

rea

(m2 /h

a)

0

5

10

15

20

25

30

35

Grand John#2

McLean'sBrook

Grand John#1

Dunbar #2 Wiggin'sCorner

Before

After

Treatment

Study Sites

56%

23%38%39%

32

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Impact of Partial Harvesting on Stand Dynamics..

Bas

al A

rea

(m2 /h

a)

Figure 4. Average diameter (cm) growth response of the crop trees for four of the study sites.

Figure 5. Basal area (m2/ha) response by treatment and study site.

Aver

age

Dia

met

er (c

m)

Aver

age

Dia

met

er (c

m)

Aver

age

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met

er (c

m)

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age

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m)

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McLean'sBrook

Grand John#1

Dunbar #2 Wiggin'sCorner

0 Year

1st Year

5th Year

15th Year

Year after Treatment

Study Sites

a) Control

0

5

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20

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30

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GrandJohn #2

McLean'sBrook

GrandJohn #1

Dunbar #2 Wiggin'sCorner

Before

After

5th Year

15th Year

Study Sites

Year after Treatment

a) Wiggin's Corner: 24% Removal

10

15

20

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0 1 5 15

Years After Treatment

Control

Thinned

Treatment

No Data

b) Grand John #2: 32% Removal

10

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Control

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Treatment

c) Grand John #1: 38% Removal

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d) Dunbar #2: 56% Removal

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D.E. Swift et al. 2013

Theannualvolumeincrement(m3/ha/yr)forthe15-yearperiodexhibitedpositiveandvariablegrowthresponsesinallplotsexceptone(Fig.7).ThecontrolplotattheDunbar#2studysitedisplayednegativeannualvolumeincrementgrowthduetomortalityofsomelargetreesintheplot.Theaverageannualvolume increment for thecontrolplotswas2.3m3/ha/yr.The thinnedplotsshowedaslightlyhigheraverageannualvolumeincrementof2.8m3/ha/yr.

Whenthedataforthelast10years(years5–15)wereexamined,whichallowedforanadjustmentperiodfromthepartialharvest,theresidualtreesfromallstudysites,exceptforonecontrolplot(Dunbar#2),exhibitedpositiveandoftenfavorablevolumeincrementgrowth(Fig.8).ItwaspredictedthatnorthernhardwoodstandsinNewBrunswickwouldproduceanannualvolumeincrementgrowthof2.4m3/ha/yr. Theaverageannualvolumeincrementgrowthforthecontrolplotsisbelowthepredictedvalueat1.3m3/ha/yr.Thethinnedplotsonaverageexceededthepredictedamountforannualvolumeincrementgrowthat4.0m3/ha/yr.

Figure 6. Average annual volume increment (m3/ha)forthefirst5yearsbytreatmentandstudysite.

Ann

ual V

olum

e In

crem

ent (

m3 /h

a)

-2

-1

0

1

2

3

4

5

GrandJohn #2

McLean'sBrook

GrandJohn #1

Dunbar#2

Wiggin'sCorner

Average

ControlThinned

Study Site

Treatment Incrment

No Data

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Impact of Partial Harvesting on Stand Dynamics..

Figure 7. Average annual volume increment (m3/ha) for the last 15 years by treatment and study site.

Figure 8. Average annual volume increment (m3/ha) for the last 10 years by treatment and study site.

Ann

ual V

olum

e In

crem

ent (

m3 /h

a)

-2

-1

0

1

2

3

4

5

GrandJohn #2

McLean'sBrook

GrandJohn #1

Dunbar#2

Wiggin'sCorner

Average

Control

Thinned

Study Site

Treatment Incrment

No Data

No Data

Ann

ual V

olum

e In

crem

ent (

m3 /h

a)

-2

-1

0

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McLean'sBrook

GrandJohn #1

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Study Site

No Data

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Tree Grade Changes

ThecontrolandthinnedplotsbothexhibitedsimilartrendsofmorevaluableanddesiredforestproductsovertimewhenassessedusingamodifiedversionoftheNewBrunswick(McDonald1999)treegrade/product system (Fig. 9).Although the thinning treatments increased the percentage of veneer andsawlogqualitytreescomparedwiththecontrolplots,thelowerqualitytreesforpulpwood,fuelwood,andbiomassproductsstilldominatedstandcomposition.Standrestorationinthesesecond-growthnorthernhardwoodstandsisaslowprocessasthesestandshaveonlyundergoneoneharvestinterventioninthelast15years.However,amoredynamicchangeintreegradeswasobservedovertimewhenindividualplotswereexamined(Table4),whichisaneffectofcombinedfactorssuchasinitialstemquality,stemgrowth,mortalityrates,harvestrates(bothregulatedandunregulated),species,andsitequality.

Because of past events, only four study sites could be used to examine changes in external treestemgradeusingthemethodsofMonger(2007).Also,thedatacouldonlybeexaminedforthelastmeasurementperiod(2008)becausepasttreegrademeasurementsusedonlyamodificationofthemethodsofMcDonald (1999).Similar trends in treegradequalitywere observedbetween the twoproductgradingsystems (Figs.9and10);namely,afterone improvementharvest intervention, thestandsaredominatedbytreesoflowqualityandproductvalue.However,insomecases,thecontrolplotshadahigheroccurrenceofveneerandsawlogtrees.Thereasonislikelybecauseoftheinfluenceofsitequality,removaloftrees>40cmdbh,speciesdifferences,andthatMonger’s(2007)isamorerigorousgradingsystem.Wiedenbecketal. (2004) reportsuchdifferences inhardwoodveneer logqualityattributesineasternNorthAmerica.Theyattributethecauseofthesedifferencestodifferencesin:(1)logqualityevaluationprocedures,(2)requirementsforproductmarkets,and(3)regionalqualitycharacteristicsof individualspecies tospecificmarkets.Regardlessofwhichsystem isused in thisstudy,theobservationisthesame—standrestorationinthesesecond-growthstandsisaslowprocessthatmaynotbeachievedbyasingleimprovementharvestintervention.

Figure 9. Tree product quality (%) using McDonald (1999) between the control (a) and thinned (b) plots for the measurement periods.

b) Thinned

0

10

20

30

40

50

60

70

Before Treatment After Treatment 5th Year 15th Year

Veneer

Sawlog

Pulp

Biomass

Product

Time Period

a) Control

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20

30

40

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Before Treatment After Treatment 5th Year 15th Year

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Sawlogs

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Biomass

Time Period

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Perc

ent

Perc

ent

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Impact of Partial Harvesting on Stand Dynamics..

Table 4. Product potential as a percentage for the crop trees by study site, treatment, and measurement date using the methods of McDonald (1999, NBDNR) and Monger (2007, ABCD)

Study Site Treatment Year NBDNR System ABCD System1 2 3 4 A B C D

Grand John #2 Control 1993 5.8 31.7 55.8 6.7 – – – –1998 10.9 13.4 75.6 0.0 – – – –2008 7.4 11.5 81.5 0.0 1.6 4.9 14.7 78.7

Thinned 1993* 5.5 21.1 66.4 7.0 – – – –1993** 5.1 22.2 68.7 4.0 – – – –1998 6.9 20.8 72.3 0.0 – – – –2008 6.4 21.3 72.3 0.0 0.0 4.3 21.3 74.4

McLean’s Brook Control 1993 8.0 8.0 72.0 12.0 – – – –1998 13.7 23.7 61.2 1.2 – – – –2008 9.6 26.0 64.4 0.0 4.1 8.2 31.5 56.2

Thinned 1993* 4.9 11.5 68.0 15.6 – – – –1993** 7.3 17.1 65.8 9.8 – – – –1998 11.4 22.9 61.4 4.3 – – – –2008 – – – – – – – –

Grand John #1 Control 1993 1.5 16.8 59.1 22.6 – – – –1998 8.1 18.0 73.9 0.0 – – – –2008 8.9 21.1 70.0 0.0 0.0 2.2 33.7 64.0

Thinned 1993* 2.6 20.3 61.1 15.9 – – – –1993** 3.6 24.1 65.1 7.2 – – – –1998 15.3 19.7 64.8 0.0 – – – –2008 17.2 23.4 59.4 0.0 1.6 9.4 25.0 64.0

Dunbar #2 Control 1993 5.7 23.6 53.7 17.1 – – – –1998 20.4 29.6 48.2 1.8 – – – –2008 16.9 32.5 50.6 0.0 0.0 11.1 27.2 61.7

Thinned 1993* 7.9 22.7 54.5 14.8 – – – –1993** 12.5 28.6 53.6 5.4 – – – –1998 24.0 16.0 60.0 0.0 – – – –2008 20.0 17.8 16.2 0.0 4.4 13.3 15.6 66.7

Wiggin’s Corner Control 1993 5.3 17.6 57.3 19.9 – – – –2008 8.2 21.2 52.9 17.7 0.0 3.5 8.2 88.3

Thinned 1993* 5.1 24.7 49.9 21.3 – – – –1993** 4.0 28.2 48.3 19.5 – – – –2008 3.5 30.1 45.1 21.3 0.0 0.0 8.0 92.0

* Before treatment ** After treatment

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a) Grand John #2

0

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A B C D

Control

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Tree Grade

Treatment

d) Wiggin's Corner

0

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Control

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Tree Grade

Treatment

Figure 10. Tree product quality (%), after Monger (2007), between the control and thinned plots for four of the study sites 15 years after treatment.

Ingrowth Dynamics

Ingrowthwasobserved5yearsafterthethinningtreatmentsinonlyoneofthestudysites(Fig.11).Asexpected,thedensityandoccurrenceofingrowthincreasedafter15yearsandwasmorepronouncedinthethinnedplots.ThisingrowthisformingasecondcanopyofAmericanbeechandsugarmapleinmostofthestudysites(Fig.12).NoingrowthispresentinthecontrolplotatGrandJohn#2,butsugarmapledominatesintheadjacentthinnedplot.SugarmapleingrowthdominatesinthecontrolandthinnedplotsatGrandJohn#1.Wiggin’sCorner istheexceptiontotheotherstudysitesasitssecond-canopycompositioncontainsbothhardwoodsandsoftwoods.Redmaple,ironwood,balsamfir,andredspruceoccuratthisstudysiteinadditiontoAmericanbeechandsugarmaple.SuchnaturalstanddynamicssuggestthatWiggin’sCornerhasmoreofamixedwoodsitecharacteristicandstandstructurethantheotherfourstudysites.Leaketal.(1987)haveasimilarhardwoodtypeforthenorthernhardwoodforestsofNewHampshire,USA.

Perc

enta

ge (%

)Pe

rcen

tage

(%)

Perc

enta

ge (%

)Pe

rcen

tage

(%)

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0

50

100

150

200

250

300

Grand John#2

McLean'sBrook

Grand John#1

Dunbar #2 Wiggin'sCorner

Control

Thinned

Study Site

b) Fifteen Years after Treatment

Figure 11. Occurrence of ingrowth (a) 5 and (b) 15 years after treatment, by treatment and study site.

Den

sity

(ste

ms

/ha)

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50

100

150

200

250

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Grand John#1

Dunbar #2

Control

Thinned

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ensi

ty (s

tem

s /h

a)

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D.E. Swift et al. 2013

Figure 12. Occurrence of ingrowth in 2008 by treatment, study site, and species.

a) Control

0 20 40 60 80 100

American Beech

Sugar Maple

Yellow Birch

Red Maple

Red Spruce

Balsam Fir

Ironwood

Ingrowth (%)

Wiggin's CornerDunbar #2

Grand John #1McLean's Brook

Grand John #2

Study Site

Spec

ies

b) Thinned

0 20 40 60 80 100

American Beech

Sugar Maple

Yellow Birch

Red Maple

Red Spruce

Balsam Fir

Ironwood

Ingrowth (%)

Wiggin's Corner

Dunbar #2

Grand John #1

Grand John #2

Study Site

Spec

ies

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DiscussionStand Dynamics

Volume increment

IntheMaritimeprovinces,hardwoodstendtooccurinmixedstandsofconifersanddeciduousspeciesratherthaninpurestandsofonespecies(Rowe1972,Lees1978).Thevariedspeciescomposition,basalareas,andvolumesforthestudysitesarerepresentativeofnorthernhardwoodstandsofthisregionandthroughouttheNortheast(HornbeckandLeak1992).Theincreasedgrowthratesobservedinthethinnedstandsafter15years(Fig.7)areinagreementwithresultsfrompartialcyclicharvestsinuneven-aged,shade-toleranthardwoodstandsofOntario:0.4–0.6m2/ha/yrbasalareaincrementsand3.3m3/ha/yrvolumeincrements(Berry1981,Andersonetal.1990).Plonski(1974)predictsameanannualvolumeincrementof2.4m3/hafornorthernhardwoodsofOntario.Periodicvolumegrowthformixednorthernhardwoodaverages4.2m3/ha/yrintheLakeStates(Godmanetal.1990).ThevaluesobtainedinthisstudyarewithinthesamerangesasobtainedinotherstudiesfromtheLakeStates(ErdmannandOberg1973,Crowetal.1981).Agradualincreaseinthevolumeincrementinthinnedyellowbirch–sugarmaplestandshasbeenobservedinQuebec(Roberge1987,1988b).

Thewide variation in the growth responses for the first 5 years, as shown for the annual volumeincrementgrowth,istheresultofmanyfactors(Fig.6).Thiswidevariationwarrantsathoroughanalysisoftheimpactofchangesinstanddensityonvolumeforeachsiteclass.Timeisrequiredfortheresidualtreestoadjusttothenewenvironmentcreatedbythepartialharvesttreatments.Theresidualtreesneed toexpand their crownareasand root systems tooccupy thegrowing spaceprovidedby theremovalofcompetingtrees(RobertsonandMyketa1998).Oncetheresidualtreeshavedevelopednewcrownareasandroots,increasedgrowthinthepartiallyharvestedstandswilloccur(Fig.8).JonesandThomas(2004)observedthatsugarmapletreesinuneven-agednorthernhardwoodstandsofcentralOntariohavea3-to5-yearlagtimeforgrowthresponseaftertreatment.However,studiesinQuebechaveshownthatdiametergrowth isnoticeable2yearsafter treatment forselectionharvest(Forgetetal.2007).Americanbeechexhibited thegreatestgrowth response, followedbyyellowbirchandsugarmapleinthatstudy.Sugarmapleofintermediatesizeshowedthelargestproportionaldiameterincrementresponse.Anotherfactorthatcontributestothevariationingrowthresponseofthethinnedstandsisthatstemdiametergrowthpatternsareveryvariableacrossthediameterclasseswithinastandbecauseofsite,speciescomposition,standstructure,andsilviculturaltreatmentdifferences(ErdmannandOberg1973,Roberge1987,1988b,Leak2004).Roberge(1987,1988b)observedbothincreasesanddecreasesinmeanannualvolumeincrementforcontrolplotsinayellowbirch–sugarmaplestandbecauseofhardwoodspeciesdifferencesandsoftwoodmortality.Inthesamestudy,individualgrowthratesofthinnedplotswereinfluencedbytheproportionsofthevarioustreespecies.Crowetal.(1981)alsoreportawidevariationinvolumegrowthbetweenpartialremovaltreatmentsandreplicationsinasugarmaple-dominatedstandinnorthernMichigan,USA.Negativevolumegrowthwasreportedforthefirst5-yearperiodofthisstudy(Crowetal.1981).Roberge(1975)attributessomeofthenegativegrowthinhisstudytoheavyremovalcausingshocktosomeoftheresidualtrees.Someofthepartialremovaltreatmentsexhibitednegativegrowthinthefirst5-yearperiod.However,improvementsintreestemgradeandtreesizeshouldbegivenmoreemphasisthandiameterandvolumegrowthinforestmanagementprescriptions,asthesefactorshaveagreaterimpactonthevalueofthestand(Roberge1975,Leaketal.1987).

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Basal area

Basal area growth showed similar results as volume growth in the stands of this study.Thiswidevariationagainsuggeststheneedforathoroughanalysisoftheimpactofchangesinstanddensityonbasalareaforeachsiteclass.Initialbasalareavalues(22.9–29.3m2/ha)(Fig.2)areclosetothosereportedformixednorthernhardwoodsoftheLakeStates:27.6–36.8m2/ha,withafewolderstandsexceeding45.9m2/ha(Godmanetal.1990).Thebasalareavaluesarewithintherangesobtainedinsecond-growthnorthernhardwoodstandsinQuebec(BédardandMajcen2001,Hartmannetal.2009)andinNewEngland(Solomon1977).BoththisstudyandthatofBédardandMajcen(2001)showagreaterresponseinbasalareaforthetreatedplotscomparedwithcontrolplots(Fig.5).UnlikeBédardandMajcen(2001),someofthecontrolplotsexhibiteddecreasesinbasalareaovertime.Thelowervalueof 22.9m2/ha maybepartly causedbypoordrainage conditionsatWiggin’sCorner (StudySite6)andthemore“mixedwood”natureofthissitecomparedwiththeotherstudysites.Leaketal.(1987)classifysimilarstandsintheNortheastasmixedwoodtypesasopposedtostandsthatcontainmore shade-tolerant hardwoods such as the beech–birch–maple andbeech–redmaple types.Siteconditionshaveapronouncedeffectonstandproductivitythat isexpressedbytotalbasalareaandvolume(GevorkiantzandDuerr1937,Godmanetal.1990).

Aswithmeanvolumeincrement,thelevelsofbasalareaforthestudysiteswerenotonlyinfluencedbytheintensityofthethinningtreatmentandresidualbasalarea(Figs.2,3,and5),butalsobymanyotherfactors,whichagainsuggeststheneedforfurtherexaminationoftheinfluenceofsitedifferencesonthetemporalchangeofstanddensityandtheseotherfactors.Analysisfromuneven-agednorthernhardwoodstandsineasternOntariohasshownthatgrowthresponseismaximizedataresidualbasalareaofapproximately14m2/hafortrees>24cmdbh(OntarioMinistryofNaturalResources(OMNR)1983).StudiesfurthersouthintheLakeStatessuggestaresidualbasalareaof16m2/ha for residual trees>24cmdbh(EyreandZillgitt1953,Arbogast1957,Crowetal.1981).Growthacrosstherangeofstemsizesmaychangewithfuturestemremovals(Leak2004).Leaketal.(1987)recommendaminimumbasalareaof14.9–17.2m2/ha(65–75ft2/ac)oftrees>12.7cm(5in.)fornorthernhardwoodstands of theNortheast under uneven-agedmanagement.Onbetter sites, the residual basal areashouldbehigher,around18.4m2/ha(80ft2/ac)topromotetimberqualitydevelopment.LeakandGove(2008)recommendmoderatestanddensitiesof14.9–18.4m2/ha(65–80ft2/ac)forbeech–redmaple–birch–hemlockstandsofmoderatevigorandqualityinNewHampshire,USA.Furtheranalysisofthesedatamayrevealthestockinglevelsnecessarytoproduceincreaseddiametergrowthforhigh-qualityhardwoodstems.

Differencesobservedinthepatternsofbasalareadevelopmentforthecontrolplotscouldbecausedbyanumberoffactors.Asstatedearlier,northernhardwoodstandsaredynamicandvariableacrossdiameterclassesbecauseofdifferencesinsite,speciescomposition,standstructure,andsilviculturaltreatments(ErdmannandOberg1973,Solomon1977,Roberge1987,1988b,Leak2004).Theproximityofharvestandextractiontrailshasbeenshowntohaveanegative(Hartmannetal.2009)orinsignificant(Forgetetal.2007)effectontreegrowthandsurvival.Thenegativeeffectontreegrowthcanvarywithcrownclassandtreesize(Hartmannetal.2009).Fournieretal. (2006)attribute thevariablebasalarearesponsesforaselectionharvestineasternOntariotoahighpost-harvestmortalityrateandslowgrowthrateofthesurvivingtrees.Manyofthesurvivingtreeshadharvestwounds.Nyland(1994)andCaspersen(2006)reportedincreasedstandmortalityafterpartialharvestbecauseofincreasedstressandharvestingwoundstotheresidualtrees.Acidraindepositionandairpollutionhavecausedrecentcalciumandmagnesiumdeficienciesonsome forest sites ineasternNorthAmerica (Horsleyetal.2000,2002,Juiceetal.2006,Pattersonetal.2012).Suchnutrientdeficiencieshaveresultedincrown

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diebackandtreemortality.Defoliationbytheforesttentcaterpillar(Malacosoma disstriaHübner)cancauseseveredeclines ingrowthand increasemortality insugarmaple, this insect’spreferredhost(Woodetal.2009).Defoliatedsugarmaple treesoftenshowsignsofcrowndieback.Resilience tothedefoliationvarieswithinandamongstandsthatcontainsugarmaple.Defoliationcanalsocausetree grade reductions for sugarmaple in standswhere timber improvement treatments have beenconductedbypartialharvests(WinkandAllen2007).Theincreasedoccurrenceofepicormicbranchingalongthestemofdominantandco-dominanttreesafteraforesttentcaterpillaroutbreakceasesisacauseofvaluelossesinthesestands.IntheMaritimeprovinces,severeforesttentcaterpillaroutbreaksoccurperiodically (Magasi 1995,SimpsonandCoy1999).Records indicate that severedefoliationoccurredinthestudyareabetween1980to1984andagainfrom1992to1995(MagasiandHurley1994,SimpsonandCoy1999).However,nodirectmeasurementsofforesttentcaterpillarpopulationlevels or defoliation of the treeswere recordedduring the study period.Aswith spruce–balsamfirstandsofNewBrunswickthatweredefoliatedbysprucebudworm(Choristoneura fumiferanaClem.)(SimpsonandCoy1999),hardwoodstands,whereinvestmenthasoccurredforincreasedstandvalue,mayrequiresomeformof“protection” frompestssuchastheforest tentcaterpillar.Noneofabovesuggestedfactorshasbeendirectlyexaminedinthisstudy,andthus,futureresearchisneeded.

Stem diameter growth

Theclassic “chainsaw”effectof increasing theaveragestanddiameter in the treatedplotswasnotobservedbecauseof the removalof trees>40cmdbh (Fig.4).However, the residual treesof thethinned plots showed increased diameter growth that is consistent with other studies in northernhardwoods of eastern Canada (Roberge 1988b,Anderson et al. 1990, Bédard andMajcen 2001,2003,Fortinetal.2009), theLakeStates(ErdmannandOberg1973,Crowetal.1981,Gronewoldetal.2012)andtheNortheast(Trimble1968,Soloman1977,Leaketal.1987).Asageneralrule,thegreatertheintensityoftheharvestremoval,thegreaterthediameterresponseoftheresidualtrees.Sugarmapleof intermediatesizeshowedthegreatestproportionaldiameter increment response inastudyfromOntario(JonesandThomas2004).BédardandMajcen(2001)alsoobserveddifferentgrowthresponsesacrossdiameterclasses.Leak(2004)reportsthatdiametergrowthresponsevariesbydiameterclassandspecies,andisdependentonsiteconditions.Forstandsunderlightselectionharvestsorhighstemdensities,Nyland(1987)andErdmannandOberg(1973)observedthatdiametergrowthincreasestoamaximumwithstemdiametersizeandthendeclines.

Solomon (1977) reported that yellowbirchand redmapleshowed thegreatestdiameter response,followedbysugarmapleandAmericanbeech in second-growthnorthernhardwoodstands inNewHampshire.Roberge(1987,1988b)observedthatyellowbirchdisplayedgreaterdiameterresponsesthansugarmapleinayellowbirch–sugarmaplestand.ThesamerelationshipbetweenyellowbirchandsugarmaplewasobservedintheLakeStates(Crowetal.1981).However, inanotherstudyinQuebec that examined a sugarmaple–yellow birch stand, sugarmaple exhibited greater diametergrowth than yellow birch (Roberge 1988a). Likewise, Erdmann and Oberg (1973) observed thatsugarmapleexhibitedgreaterdiametergrowththanyellowbirchinsugarmaple-dominatedstandsofnortheasternWisconsin,USA.Theseresultsshowtheimportanceofsiterequirementsforindividualspeciesforstanddynamicsinnorthernhardwoodstands.Roberge(1975)observedvariablediametergrowthresponsesbetweensugarmapleandyellowbirchdependingonthemeasurementperiod.Heobservedbestgrowthwithco-dominantandintermediatetreesthatwereinfluencedbythedegreeofreleasefromcompetingtrees.StudiesinQuebecshowedanaverageof3cmgrowthin10yearsacrossalldiameterclasses (BédardandMajcen2001,2003). According toAndersonetal. (1990),sugarmapleexhibitedslowtomoderatebutpersistentdiametergrowthof2.5cmover10yearsformature

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treesinunmanagedstands.Diametergrowthofyellowbirchtendstobemoderatelylowinunmanagedstands.Fortinetal.(2009)reportedthatonlyafewtrees(13%)didnotmigratetoahigherdiameterclass,andmosttrees(74%)gained2–4cmfromastudyinQuebec.Inadditiontospeciescompositionandsitehavinganimpactondiameterresponse,theageofthetreesalsoinfluencesdiametergrowth(Godmanetal.1990).Godman(1957)providesexamplesofmaturesugarmaplestandsgrowingataslowerratethantreesinyoungerstands.Astheaveragediameteroftheresidualtreesisincreasinginboththecontrolandthinnedplots,thestandsofthestudysiteshavenotreachedastabilizationperiodofstanddevelopmentforuneven-agedstructures(Roberge1988b).

Tree Grade Changes

The objective of commercial thinning and partial harvesting has traditionally been to improve andincreasetheamountofhigherqualitystemsforsawlogandveneerproducts(Lees1978,Milleretal.2003,Websteretal.2009,Gronewoldetal.2012).ArecentstudyinthenorthernhardwoodstandsoftheLakeStatessuggestedthatlargetreesincreaseinvaluewhentheybecomeveneerquality,butqualitycriteriaforthesetreescanvarygreatly(Websteretal.2009).Commercialthinningandpartialharvestinghavebeenusedfortherestorationofhigh-valuenorthernhardwoodstandswithhigh-qualitystems (MacLean 1950,Roberge 1975). Such commercial objectives of uneven-agedmanagementtendtoresultintheremovalofsomefeaturesofstandstructureassociatedwithold-growthhardwoodforestssuchascavitytrees,snags,andlargelegacytrees(KeneficandNyland2007,Gronewoldetal.2010).Themoreintensetheharvestingofresidualsandpoor-qualitystems,thegreatertheimpactofuneven-agedmanagementsystemsonthecomplexstructureofold-growthnorthernhardwoods.BothVanderweletal.(2008)andGronewoldetal.(2010)observedthat>20-yearharvestinginterventionstendtohaveminorinfluencesonthenon-commercialstructuralfeaturesofnorthernhardwoodstands.Inamore recentstudy,Gronewoldetal. (2012)observed that, innorthernhardwoodsofMichiganundersingle-treeselection,averagetreegradewasrelativelyunaffectedbyresidualstocking levelsafter50years.The20-yearharvestinterventioncycleisgreaterthantherecommended15-yearcyclefor theNortheast (Leaketal.1987).Perhapsmodificationsof theselectioncriteria for treeremovalshouldbeincludedinfutureharvestinterventionstomaintainsomeofthestandstructuralfeaturesofold-growthhardwoodstands.

Therearenumerousstudiesandfieldtrialsthatdemonstrateincreasedtreegrowthandutilization,butfewhaveexaminedhow thesesilvicultural treatments impact treegradequality (Milleretal.2003).Although analysis of the information from this study is not complete, preliminary results show thatincreasesinthefrequencyofqualitystemswithmorevaluableproductsisaslowprocessinnorthernhardwoodstandsthathavehadrepeatedunregulatedharvestsforadesiredproductwithoutregardtofuturestanddynamicsandvalue(Figs.9and10).Thestandsofthisstudyhaveonlyreceivedoneharvestinterventionthatremovedtheworstofthedegradedtreesona20-yearharvestcycle.SendakandLeak(2000)reportsimilarvariation in treequalityapproximately40yearsafteran initialpartialharvestinsecond-growthnorthernhardwoodstandsintheWhiteMountainsofNewHampshire,USA.Theyattributedthevariationtodifferencesinspeciescompositionandinitialbasalareasandvolumes.Morefrequentharvestinterventionswouldhastenthedevelopmentofhigh-valuestandsforsawlogsandveneerproduction,butsuchactionsmaynotalwaysbeeconomicallyviableorabletomaintaindesired stand structure. Information exists in the literature to assist the forester with decisions forimprovingdegradedhardwoodstands(i.e.,KeneficandNyland2006,Nyland2003,2006,Clatterbuck2010).Dependingontheconditionofthenorthernhardwoodstand,forestrestorationpracticesmaybeaslowprocessormaynotbeeconomical.

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Forpartialremovalsorcommercialthinnings,Milleretal.2003reportedthatincreasesintreegradeonlyoccurredforspecifichardwoodspeciesinamixedhardwoodstandinWestVirginia,USA.Blackcherry(Prunus serotinaEhrh.),redoak(Quercus rubraL.),andyellowpoplar(Liriodendron tulipifera L.)showedimprovementaftertreatmentbecauseofincreasedgrowthandtheretentionoflarge,high-qualitytrees,whereasredmapleandwhiteoak(Quercus albaL.)exhibitednoimprovement intreegradebecauseofpoor-qualityresidualtrees.AnexaminationofawidevarietyofthinningtreatmentsinwhiteoakstandslocatedinKentuckyandOhiorevealeddifferencesamongstudysitesfortreegradeimprovement(Brownetal.2004).Insomecases,theintensityofthethinningtreatmenthadaninfluenceontreegradequality.Strongetal.(1995)reportthatthemediumintensityforharvestremovalof17.2m2/ha(75ft2/ac)providedthebestaveragetreegradechangesexceptforcroptreerelease.However,treegradeincreasedovertimeinallofthesingle-treeselectiontreatmentsinsugarmaple-dominatedstands.Themediumremovalforsingle-treeselectionalsohadhighratesofreturn,butheavyremoval(13.8m2/ha or 62 ft2/ac)providedthegreatestrateofreturn(Nieseetal.1995).TheaccuracyoftreegradeprojectionswasexaminedforfiveAppalachianhardwoods inWestVirginia12–15yearsaftercommercial thinning (Milleretal.2008).Differencesamongspeciesand treatmentswereassessedforaccuracyof treegradeprojections.Somespecies, suchasblackcherryand redoak,exhibitedlessaccuracyforthethinnedstandsbecauseofharvestwoundsandepicormicbranches.Treegradeprojectionswerelessaccurateforlarge,higherqualitytreesthanforsmallertreesoflowerquality.Anassessmentofresidualtreequalityforthetwo-agedsilviculturalsystemin20Appalachianhardwoodstandsshowedthatthelargestreductionswerecausedbyepicormicbranchesandharvestingwounds(Johnsonetal.1998).Thefrequencyofharvestingwoundswasinfluencedbyseasonofharvest.Treewoundsfromharvestingweremorefrequentandsevereduringspringandsummerthanforoperationsconductedduringfallandwinter.Improvementforspeciescompositionandtreegradecanhavealong-termimpactinnorthernhardwoodsoftheNortheast.LeakandSendak(2002)documentanincreaseofgrades1and2buttlogsof30%forAmericanbeechand65%forsugarmapleafter41yearsforastudythatreceivedthreesingle-treeselectionharvestsat20-year intervals.Fournieretal. (2006)reportatwo-foldincreaseofacceptablegrowingstock20yearsafterthefirstharvestinterventioninaselectioncutinOntario.Hence,anysystemofpredictingorprojectingtreegradeorfuturequalityofstandingtreeswillshowsomedegreeofinherentvariability.Suchvariableinformationcannonethelessbeincorporatedintostandyieldcurvestopredictpotentialtreevaluechangesandassistforestersindecidingwhichtreesto leavewhenconductingpartialharvestingprescriptions.Forexample,Myersetal. (1986)developedregressionequations thatpredictbutt-loggradedistributions from inventoryinformationforfiveAppalachianhardwoodspecies.ForthenorthernhardwoodforestoftheNortheast,Yaussy(1993)developedlogisticregressionpredictionequationsfor20speciesgroupsthatcouldbeincorporatedintoindividualtreegrowthandyieldsimulatorssuchasNE-TWIGSandFVS.Becauseoftheneedtoseparateandpredicthardwoodlogqualityintodifferentproductsanduses,severallog-gradingsystemshavebeendevelopedinQuebec,andthreeofthecurrentsystemswereevaluatedbyFortinetal.(2009).Allthreemethodswerebetteratdistinguishingloggradethantreevolume.Asexpected,the“true”treegradeclassificationmethodprovedtobethebestsystembasedonAkaikeandBayesianinformation.Informationfromthisstudycouldbeusedtodevelopinitialtreegradepredictionequations for current growth-and-yield simulatorsusedby theNewBrunswickHardwoodTechnicalCommittee.TheNovaScotiaDepartmentofNaturalResourceshasintegratedtreegradeinformationintotheirinventoryprocedures(KeysandMcGrath2002).

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Ingrowth Dynamics

TheabundanceofAmericanbeechasthemaincomponentintheunderstorey(Figs.11and12)hasbeen widely observed and documented throughout the range of northern hardwoods (Tubbs andHouston 1990,Robertson andMyketa 1998,Nelson andWagner 2011).The potential increase ofAmericanbeech in northernhardwood standsafter natural disturbancesandharvesting is a forestmanagementconcernbecauseoftheresultingnegativeimpactsonfuturefibresuppliesandannualallowablecut(NelsonandWagner2011).Becauseofthelowlightrequirementsandlargeamountsof frequentlyproducedseed,Americanbeechhas theability todominate the regeneration layerasadvanceregenerationinnorthernhardwoodstands(TubbsandHouston1990).Single-treeselectiontendstopromoteAmericanbeechandsugarmaple,astheregenerationofthesespecieshastheabilitytopenetratethroughhardwoodleaflitterandtoleratethelowlightconditions(Berry1981,LaRocque1985,RobertsonandMyketa1998).Insmallisolatedgaps,Americanbeechout-competedsugarmapleregenerationandsaplingsinboththecontrolandthinnedstands(Jonesetal.1989,TubbsandHouston1990,BohnandNyland2003,Noletetal.2008).Light-seededspeciessuchasyellowandwhitebirchoftenrequireadditionalsitepreparationtoremovethehardwoodleaflitterofsugarmapleandAmericanbeechleavesandmixthehumusandmineralsoil.Thesetwobirchspeciesalsorequiretheincreasedlightconditionsprovidedbygapharvestingtechniquesusedinuneven-agedsilviculturalsystemsfornorthernhardwoodstandtypes.Theincreasedareaofthegapscomparedwithsingle-treeselectionalsoallowsavarietyofsitepreparationmethodstoprovidetheseedbedrequirementsforlight-seededspeciessuchasyellowandwhitebirch(Erdmann1990,RobertsonandMyketa1998,Leaketal.1987,Leak1999).Loucks(1962)statesthatsitepreparationisrequiredtopromoteyellowbirchregenerationonpartialcutsintheMaritimesUplandsRegionwheresomeofthestudysitesoccur.Theoccurrenceofsugarmapleandyellowbirchonsomeofthestudysites(Fig.12)wascausedinpartbylargegapsandextractiontrailsthatreceivedadequatesitepreparationfromtheharvestedstemsbeingdraggedwithacableskidder.Examinationofthemapsforthethinnedplotsshowsacombinationofsmallgaps(lessthanonetreelength)andlargegaps(lessthantwotreelengths)thatwerecreatedthroughouttheharvestsites.Inadditiontothegapsreceivingtherequiredseedbedrequirements,theopenareasprovidedtherequiredlightconditionsforthemoderatelyshade-tolerantyellowbirchregeneration.ItisalsopossiblethatsomeoftheadvanceAmericanbeechandsugarmapleregenerationwasdestroyedbytheextractionofharvestedstems.AllstudysiteswereharvestedbetweenSeptemberandDecember1993.AccordingtoTubbsandReid(1984)theseasonofharvestcanhaveaninfluenceonregenerationand resulting ingrowth. Ifahardwoodstand isharvested insummer,adequategroundscarificationgenerallyoccursforyellowbirch,andsomeoftheadvanceregenerationwillbedamagedordestroyed.Winterharvestingoperationstendtopreserveadvanceregenerationanddonotproducetherequiredgrounddisturbancesrequiredbybirchspecies.Theoccurrenceofheavyseedyearsduringaharvestoperationmaychangetheseregenerationtrendsinnorthernhardwoodstands.Assnowlevelswouldnotbedeepduringtheendperiodofharvestingoperations,acombinationofsitedisturbance,protectionofsmallregeneration,anddestructionoflargeregenerationwouldhaveoccurred.Sugarmapleisknowntoinhibitthegrowthofyellowbirchwhenrootgrowthperiodsofthetwospeciesoverlap(Tubbs1965).Accordingto(Smith1986)andAndersonetal.(1990),groupselectionharvestmethodsareknowntoproducesmall, even-agedpatchesof shade-intolerant andmoderately shade-tolerant speciesasamatrixwithinuneven-agedstandsdominatedbystand-tolerantspeciesasisthecaseattheDunbar#2site.Withoutnaturalandharvestingdisturbances,yellowbirchandwhitebirchcomponentswithinanorthernhardwoodforestwillbereducedandwilleventuallydisappearfromthelandscape(LeakandYamasaki2010).

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RemovalofAmericanbeechisoftenaccomplishedbyaerialorground-basedapplicationofchemicalherbicides,butitmaycauseadditionalvegetationcompetitionproblems(RobertsonandMyketa1998).SmallridgeandNyland(2009)provideoneofthemanyguidelinesavailableforthecontrolofAmericanbeechinnorthernhardwoodstands.Inaseriesofarticles,Nylandetal.(2004)providetheecologyofthemajorcompetingtreesandshrubsinnorthernhardwoodstandsandtheeffectsofsuchcontrolmethods(Nylandetal.2006).RecentresearchhasshownthatAmericanbeechismoresusceptibletosomeherbicidesthansugarmaple,redmaple,andyellowbirch(NelsonandWagner2011).Presently,theNewBrunswickDepartmentofNaturalResourcesusessmallpatchcuts(irregularcirclesorstrips)tocontrolandreducetheabundanceofAmericanbeechinnorthernhardwoods.Theincreasedlightlevelsandgrounddisturbancewithinthesesmallpatchcutsmeasuring0.04to0.24ha.reducestheAmericanbeechunderstoreywhilepromotingother species suchas sugarmapleandyellowbirch(Erdmann1990).ThetreatmentwasdevelopedandtestedinNewBrunswickonadvicereceivedfromDr.WilliamLeak,USDAForestServiceatDurham,NewHampshire.LeakandFilip(1977)wereamongthefirsttorecordtheresultsofsuchtreatmentsinthenorthernforestsoftheWhiteMountainsinNewHampshire,USA.LeakandYamasaki(2010)alsoobservedthatwithpropermanagementtechniquesAmericanbeechcanformpartofahealthyandproductivecomponentofnorthernhardwoodstands.

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ConclusionsStand Dynamics

Thevariablestandconditionsandremovalratesproducedvariablegrowthresponses,consistentwiththeliteraturethatwasreviewedandexamined.

Thegreaterthebasalarearemoval,thegreaterthediameterresponseofindividualresidualtreesinthethinnedplots.However,growthresponsemaynotreachformerbasalareaorvolumelevelsiftoomanytreesareremovedduringharvest.

Thethinnedstandshavenotrecoveredthebasalareavaluesthatexistedat thestartof thisstudy.However, thismanagementgoalmaynotbeas importantasa targetedordesiredbasalarea levelsetbyforesters,especiallywhenstandvaluemaybeofgreater importancethanvolumeincreases,dependingonmarketsandstandmanagementobjectives.

Pastpredictedannualvolumeincrementgrowthratesof2.4m3/ha/yearwereverifiedinthisstudyforthecontrolstands.

Annualvolume incrementgrowth ratessuggest thathardwoodstandssubjected topartial removalsproducedbettergrowthresponsesthanwerepredictedatthestartoftheoriginalstudy.

Annual volume increment growth rates exhibited a wide variation between and among treatmentsformanypotentialfactors.Identificationandrefinementofthesefactorsmayproducegreatergrowthresponsesthantheaveragevaluesobservedinthisstudy.

Hardwoodstands,especially thosewhere investmentshavebeenundertakenfor increasedproductvalue,mayrequiresomeformof“protection”frompestssuchastheforesttentcaterpillar,ifthedesiredgrowthandgrowthratesaretobeachieved.

Hardwoodstanddynamicsarecomplex,andincreasingourknowledgeofthesedynamicsisrequiredtobetterunderstandtheirimpactsongrowthanddevelopment.

Tree Grade Changes

Standrestorationandstemqualityimprovementareslowprocessesthatmaynotbeachievedwithafirstharvestentryinsecond-growthnorthernhardwoodstandsthathavehadthehigherqualitytreesrepeatedlyremovedinthepast.

Changesintreegradeswereobservedtobeverydynamicinthesesecond-growthnorthernhardwoodstandsbecauseofanumberoffactors,suchasinitialstemquality,stemgrowth,mortalityrates,harvestrates(bothregulatedandunregulated),species,andsitequality.

Differencesbetweentreegradingsystemsareevidentinthehigherqualityproducts.Thesedifferencesneedtobeaddressedforregionalqualitycharacteristicsandmarketrequirementsforthepresentandfuture.

Ingrowth Dynamics

Ingeneral,ingrowthoccurredmorefrequentlyinthethinnedstandsthanthecontrolstands.

Exceptforthe“mixedwood”characteristicsoftheWiggin’sCornersite, ingrowthdoesnotexistasadiversemixtureofdesiredtreespeciesbutasasecondarycanopyofAmericanbeechandsugarmaple.

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RecommendationsStand Dynamics

Astheannualvolumeincrementgrowthratessuggestthathardwoodstandsgrowbetterthanpredicted,additional studies are required for verification and to determine the potential impact on the annualallowablecutandtheoptimumremovalrateforaspecificstandtypeandsitecondition.

As the growth rateswere influenced by a variety of potential factors, identification and refinementofthesefactorsneedtobeundertakeninordertodeterminetheimpactongrowthresponsesatthelandscapelevel.

Theinfluenceofsitequalityonthetemporalchangeofstanddensityshouldbeexaminedinafuturestudy.

Tree Grade Changes

Aschangesintreegradesattheplotlevelwereobservedtobeverydynamic,thisfactorneedstobequantifiedattheindividualtreeandspecieslevelsandtheinformationincorporatedintothemanagementprocessforwoodsupply.Thus,itissuggestedthatanewgradingsystemthatincorporatestreevigorbeconsideredforNewBrunswick,suchasthefour-classsystemthatwasonceusedinQuebec.

Tree grading systems need to address differences in regional quality characteristics and marketrequirementsforthepresentandfuture.

Anational treegradingsystemneeds tobedevelopedandadoptedby resourcemanagersacrosseasternCanadatoallownationalcomparisonsandevaluations.

Ingrowth Dynamics

Unlessanother silvicultural systemoradditional silviculturalprescriptionsareused toproducenewcohorts of desired crop trees, these uneven-aged structured standswill develop a second canopydominatedbyAmericanbeechandsugarmaple—exceptforsitesthathaveamixedwood(softwoodandhardwood)sitecharacteristic.Increasedsoilscarificationandfrequencyoflargegapsisrequiredtoincreasethefrequencyofyellowbirchintotheingrowthcohortdiameterclasses.

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AcknowledgmentsTheprojectisindebtedtoFredSomerville,formerlyofAVNackawicInc.whoinitiatedtheoriginalstudyandprovideduswithpastdataandrecords.WeappreciatetheinternalguidanceprovidedbyreviewsfromNaturalResourcesCanada,CanadianWoodFibreCentre;FPInnovationsHardwoodResearchInitiativeSteeringandReviewCommittee;andNewBrunswickHardwoodTechnicalCommittee.Weacknowledgeandappreciatethesupportofand/orpartnershipwiththefollowingorganizations:NewBrunswickDepartmentofNaturalResources(Jean-LouisLaplante,MikeBartlett,MarthaO’Sullivan,ChrisWard, Jennifer Landry (formerly), DaleWilson, andAdamDick);GroupeSavoie Ltd. (SergeLaplante);Acadian Timber Ltd. (Kevin Topolinski); Northern Hardwood Research Institute (GaëtanPelletier);AVNackawic Inc. (MauriceLeBlancandDanielRogers);SherbrookeUniversity (RichardFournier);UniversityofNewBrunswick(Fan-RuiMengandCharlesP.-A.Bourque);StateUniversityofNewYork(RalphNyland,DianeKiernan,andEddieBevilacqua).WearegratefultoBernardLevesque,QuebecMinistryofNaturalResourcesandWildlife,forprovidingtheMSCRclassification.AdministrativeassistancewasprovidedbyKatalijnMacAfee.Lastly,weacknowledge the following forprovidingareviewofthedocument:BernardDaigle(CWFC),JenniferLandry,andDeanToole(CWFC).

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Anderson, H.W., Batchelor, B.D., Corbett, C.M., Deugo, D.T., Husk, C.F., and Wilson, W.R. 1990. A silvicul-tural guide for the tolerant hardwoods working group in Ontario. Ontario Ministry of Natural Resources, Forest Resources Group Science and Technical Series Volume 7.

Arbogast, C. Jr. 1957. Marking guides for northern hardwoods under the selection system. Paper 56. USDA For-est Service, Lake States Forest Experiment Station, St. Paul, Minnesota, USA.

Bédard, S., and Majcen, Z. 2001. Ten-year response of sugar maple-yellow birch-beech stands to selection cutting in Quebec. Northern Journal of Applied Forestry 18(4): 119–126.

Bédard, S., and Majcen, Z. 2003. Growth following single-tree selection cutting in Quebec northern hard-wood. The Forestry Chronicle 79(5): 898–905.

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Appendix IModified NBDNR Tree Product Grading System

(After McDonald (1999)

1. Veneer - 2.5 m out of the first 4 m of tree - clear on all four faces of tree stem - no major defects - dbh >24 cm

Spoolwood - white birch and white ash - 2.5 m out of the first 4 m of tree - clear on all four faces of tree stem - no more than two minor defects - dbh >16 cm

2. Saw logs - 2.5 m out of the first 4 m of tree - clear on all three faces of tree stem - no more than two minor defects on three clear faces - dbh >24 cm

3. Pulpwood /Fuelwood - trees that do not meet criteria 1 and 2 - trees with 50% or more merchantable volume

4. Biomass - trees that do not meet criteria 1, 2, and 3 - trees with less than 50% merchantable volume

Raw ProductMature and

Over-MatureStands

4Biomass

3Pulpwood/Fuel wood

2Saw Logs

1Veneer/

Spoolwood

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Appendix II

Staff

FPInnovations – Wood Products Manager, Lumber Manufacturing Department - Francis Fournier Lumber Manufacturing Department, Senior Technologists: Luc Bédard Yves Giroux Ghislain Veilleux Resource Characterization, Senior Technologist: Francis Tanguay

Canadian Wood Fibre Centre Regional Coordinator - Dean Toole Research Scientist - Chhun-Huor Ung Research Scientist, Resource Characterization - Isabelle Duchesne Forestry Research Officer - Edwin Swift Technologists André Beaumont Stacey Brewer Gavin Comeau Riley DeMerchant Roger Gagné Tyler Harrison Brian Williams Summer Research Assistants: Sarah McMullin Adam Schaubel Katherine Standen

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The Canadian Wood Fibre Centre brings together forest sector researchers to develop solutions for the Canadian forest sector’s wood fibre related industries in an environmentally responsible manner. Its mission is to create innovativeknowledge to expand the economic opportunities for the forest sector to benefit from Canadian wood fibre. The Canadian Wood Fibre Centre operates within the CFS, but under the umbrella of FPInnovations’ Board of Directors.

FPInnovations is the world’s largest private, not-for-profit forest research institute. With over 600 employees spread across Canada, FPInnovations unites the individual strengths of each of these internationally recognized forest research and development institutes into a single, greater force.

For more information visit:http://www.FPInnovations.ca

Additional information on Natural Resources Canada, the Canadian Forest Service, and Canadian Wood Fibre Centre research and publications is also available online at: http://cwfc.nrcan.gc.ca. To download or order additional copies of this publication, see our online bookstore at: http://bookstore.cfs.nrcan.gc.ca.

Le Centre canadien sur la fibre de bois réunit des chercheurs du secteur forestier afin d’élaborer des solutions responsables sur le plan environnemental pour les industries forestières du secteur de la fibre de bois du Canada. Sa mission est de produire des connaissances innovatrices qui accroîtront les débouchés économiques pour que le secteur forestier puisse tirer profit des fibres ligneuses canadiennes. Le Centre canadien sur la fibre de bois fonctionne au sein du Service canadien des forêts, mais sous l’égide du conseil d’administration de FPInnovations.

FPInnovations est le plus important institut de recherche forestier à but non lucratif du monde. Avec plus de 600 employés déployés à l’échelle du Canada, FPInnovations regroupe les atouts de chacun des instituts de recherche et développement reconnus mondialement en une force plus grande et unique.

Pour de plus amples renseignements, veuillez visiter : www.FPInnovations.ca.

De plus amples renseignements sur les travaux et les publications de Ressources naturelles Canada, du Service canadien des forêts et du Centre canadien sur la fibre de bois sont présentés sur le Web, à l’adresse : http://ccfb.rncan.gc.ca. Pour télécharger ou commander des exemplaires supplémentaires de ces publications, visitez notre librairie en ligne : http://scf.rncan.gc.ca/publications?lang=fr_CA

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The Canadian Wood Fibre Centre brings together forest sector researchers to develop solutions for the Canadian forest sector’s wood fibre related industries in an environmentally responsible manner. Its mission is to create innovativeknowledge to expand the economic opportunities for the forest sector to benefit from Canadian wood fibre. The Canadian Wood Fibre Centre operates within the CFS, but under the umbrella of FPInnovations’ Board of Directors.

FPInnovations is the world’s largest private, not-for-profit forest research institute. With over 600 employees spread across Canada, FPInnovations unites the individual strengths of each of these internationally recognized forest research and development institutes into a single, greater force.

For more information visit:http://www.FPInnovations.ca

Additional information on Natural Resources Canada, the Canadian Forest Service, and Canadian Wood Fibre Centre research and publications is also available online at: http://cwfc.nrcan.gc.ca. To download or order additional copies of this publication, see our online bookstore at: http://bookstore.cfs.nrcan.gc.ca.

Le Centre canadien sur la fibre de bois réunit des chercheurs du secteur forestier afin d’élaborer des solutions responsables sur le plan environnemental pour les industries forestières du secteur de la fibre de bois du Canada. Sa mission est de produire des connaissances innovatrices qui accroîtront les débouchés économiques pour que le secteur forestier puisse tirer profit des fibres ligneuses canadiennes. Le Centre canadien sur la fibre de bois fonctionne au sein du Service canadien des forêts, mais sous l’égide du conseil d’administration de FPInnovations.

FPInnovations est le plus important institut de recherche forestier à but non lucratif du monde. Avec plus de 600 employés déployés à l’échelle du Canada, FPInnovations regroupe les atouts de chacun des instituts de recherche et développement reconnus mondialement en une force plus grande et unique.

Pour de plus amples renseignements, veuillez visiter : www.FPInnovations.ca.

De plus amples renseignements sur les travaux et les publications de Ressources naturelles Canada, du Service canadien des forêts et du Centre canadien sur la fibre de bois sont présentés sur le Web, à l’adresse : http://ccfb.rncan.gc.ca. Pour télécharger ou commander des exemplaires supplémentaires de ces publications, visitez notre librairie en ligne : http://scf.rncan.gc.ca/publications?lang=fr_CA

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To order publications online, visit the Web site

“Canadian Forest Service Publications” at

cfs.nrcan.gc.ca/publications