Forest growth models of Canada


Forest growth models are mathematical or computer models to project the future state and yields of forest stands or forest trees, over a time scale of from a few years to many decades.
Structure and function of growth models vary: some are purely empirical, based on the reproduction of past observations, while others explicitly mimic specific processes relative to tree ecophysiology, stand dynamics, etc. Typically, growth models use forest inventory data and site characteristics, such as soil type, drainage class, average annual temperature, precipitation, etc., as input for growth projections. Most models are calibrated for a given region and a given set of stand types, defined by the species composition and the management regime.
Some models consider only stand growth and dynamics processes, while other can simulate the effect of silviculture practices.

Typology of models

Model types

Scale/resolution

  • Whole stand model:
  • Stand table model:
  • Tree list model:

Construction

"Empirical models seek principally to describe the statistical relationships among data with limited regard to an object's internal structure, rules, or behaviour. In contrast, process models seek primarily to describe data using key mechanisms or processes that determine an object's internal structure, rules, and behaviour."
Models can be either distance-independent or distance-dependent. In the later case, geographical positions of trees are known and used for modeling competition and/or dispersion processes.

Forest Region

Species

  1. Eastern SPF: Balsam fir, black, red and white spruce, jack pine
  2. Western SPF: Spruce-Pine-Fir
  3. Other western softwoods: Western Red cedar, western hemlock
  4. Other eastern softwood: white and red pines, [Thuja occidentalis|eastern Pinus strobus|white cedar]
  5. Tolerant hardwoods: Maples, yellow birch, Beech, Oaks,
  6. Boreal hardwoods: Aspen, white birch

Regime

  • Even-aged Vs. uneven-aged

Silviculture

  • Unmanaged Vs. managed stands

Yields

Growth model outputs can fall in the following categories:
  1. Tree attributes: species, diameter at breast height, taper, vigour index, quality grade, crown dimensions, etc.
  2. Stand attributes: living tree density, dead tree density, mean diameter at breast height, dominant height, basal area, crown closure, etc.
  3. Biomass production: biomass or volume per compartment, carbon storage, etc.
  4. Ecophysiologial indicators: respiration, net productivity, water consumption, heat transfer, etc.
  5. Lumber and fiber products: merchantable volume, lumber volume per grade, pulp volume, wood quality indicators, etc.
  6. Ecological indicators: volume of large woody debris, snag density, species diversity index, etc.
  7. Economic indicators: net value of standing trees, net present value, cash flow, land expectation value, etc.

Climate input

  • Identifies models that consider climate variables as input

Regeneration

  • Identifies models that make projections on natural regeneration.

Catalog

Please refer to the lexicon for the definitions of the variables and the categories used in this table.
Model NameTypeProvinceForest RegionSpeciesRegimeSilvicultureYieldsClimate inputsRegenerationReferences and Notes
Plonski's normal yield tablesStand yield modelOntarioBoreal, Great Lakes-St.LawrenceEastern SPF, Tolerant hardwoods, Other Eastern softwoodsEven-agedUnmanaged, Plantation2, 5NoNoPlonski,W.L. 1974 Normal yield tables for major forest tree species of Ontario. Ontario Ministry of Natural Resources. 40p.
Vezina & Linteau's normal yield tablesStand yield modelQuebecBoreal, Great Lakes-St.LawrenceEastern SPFEven-agedUnmanaged stands2, 5NoNoVezina,P.E. and Linteau, A. 1968. Growth and yield of balsam fir and black spruce in Quebec. Department of Forestry and rural development, Forest Research Laboratory, Quebec Region, Information Report Q-X-2, 58p.
Boudoux's empirical yield tablesStand yield modelQuebecBoreal, Great Lakes-St.LawrenceEastern SPFEven-agedUnmanaged stands2, 5NoNoBoudoux,M. 1978. Tables de rendement empiriques pour l'épinette noire, le sapin baumier et le pin gris au Québec. Gouvernement du Québec, ministère des Terres et Forêts, COGEF, 101p.
Pothier & Savard's empirical yield tablesStand yield modelQuebecBoreal, Great Lakes-St.LawrenceEastern SPF, Boreal hardwoods, Other Eastern softwoodsEven-agedUnmanaged stands2, 5NoNoPothier,D. & Savard,F. 1998. Actualisation des tables de production pour les principales espèces forestières du Québec. Gouvernement du Québec, ministère des Ressources naturelles, Québec. 183 p.
Bolghari & Bertrand's empirical yield tablesStand yield modelQuebecGreat Lakes-St.LawrenceEastern SPF, Other Eastern softwoodsEven-agedPlantation2, 5NoNo
Artemis2009Stand table modelQuebecBoreal, Great Lakes-St.LawrenceEastern SPF, Other Eastern softwoods, Tolerant hardwoods, Boreal hardwoodsEven-aged and Uneven-agedUnmanaged and managed stands1, 2, 5YesYesFortin, M. & Langevin, L., 2010. ARTÉMIS-2009 : Ministère des Ressources naturelles et de la Faune, Direction de la recherche forestière. 48 p.
Natura2009Stand yield modelQuebecBoreal, Great Lakes-St.LawrenceSpeciesEven-agedUnmanaged2, 5YesNoPothier,D.& Auger,I. 2011. NATURA-2009 : un modèle de prévision de la croissance à l'échelle du peuplement pour les forêts du Québec. Mémoire de recherche forestière n° 163. Ministère des Ressources naturelles et de la Faune, Direction de la recherche forestière. 56 p.
SaMAREStand table modelQuebecGreat Lakes-St.LawrenceTolerant hardwoodsUneven-agedManaged 1, 2, 5YesYesFortin, M., Bédard, S. & Deblois, J., 2009. SaMARE : un modèle par tiges individuelles destiné à la prévision de la croissance des érablières de structure inéquienne du Québec méridional. Mémoire de recherche forestière n° 155. Ministère des Ressources naturelles et de la Faune, Direction de la recherche forestière. 44 p.
Zelig-CFSStand table modelQuebecGreat Lakes-St.LawrenceTolerant hardwoods, Other eastern softwoodsUneven-agedManaged1, 2, 5YesYesLarocque, G.R.; Archambault, L.; Delisle, C., 2011. Development of the gap model ZELIG-CFS to predict the dynamics of North American mixed forest types with complex structures. Ecol. Model. 222:2570-2583
FVS-OntarioStand table modelOntarioForest RegionSpeciesEven-aged and uneven-agedUnmanaged1, 2, 5Lacerte, V. Forest vegetation simulator model calibration for Ontario. Natural Resources Canada Canadian Forest Service, Quebec. Information Report LAU-X-132. 91p. Natural Resources Canada Canadian Forest Service, Quebec. Information Report LAU-X-132. 91p.
CropPlannerTypeOntarioBorealEastern SPFEven-agedManaged NoNo"A decision support system for forest density management within upland black spruce stand-types."
StamanStand table modelNew BrunswickAcadian ForestsEastern SPF, Tolerant hardwoodsEven-aged and uneven-agedSilviculture1, 2, 5"Calibration of the STAMAN stand growth model to produce yield curves for spaced tolerant hardwood stands in New Brunswick"
OSMTree list modelNew BrunswickMaine, MaritimesAcadian ForestsEven-aged and uneven-agedUnmanaged, Extensive & Intensively Managed1, 2, 5
BiolleyStand table modelQuebec, OntarioGreat Lakes-St.LawrenceSpeciesUneven-agedManaged1, 2, 5, 6, 7YesYes
SORTIETypeQuebecBoreal, Great Lakes-St.LawrenceSpeciesUneven-agedYes
COHORTETypeQuebecGreat Lakes-St.LawrenceTolerant hardwoods, Boreal hardwoods, Eastern SPFUneven-agedManaged 1, 2, 5Yes"Cohorte : Modèle de croissance et d’évolution de la qualité adapté à l’application de coupes partielles."
MERISTypeQuebecGreat Lakes-St.LawrenceTolerant hardwoodsUneven-agedManaged 1, 2, 5, 7YesSimulation module working with SaMARE to evaluate economic yields of uneven-aged silviculture
MGMdistance-independent, individual tree-basedAlbertaBorealBoreal hardwoods, Western SPFEven-agedUnmanaged1,2Mixedwood Growth Model
FORECASTBritish Columbia, Alberta, Saskatchewan3FORECAST (model)
TASSTypeBritish ColumbiaForest RegionNo
TIPSYTypeBritish ColumbiaForest RegionWestern SPFEven-agedManaged 2, 5No
SYLVERTypeBritish ColumbiaForest RegionWestern SPFEven-agedManaged2,5,7NoSystem for evaluating the impact of Silviculture on Yield, Lumber Value, and Economic Return
https://www.for.gov.bc.ca/hts/growth/sylver/sylver_description.html
Di Lucca, C.M. 1999. TASS/SYLVER/TIPSY: systems for predicting the impact of silvicultural practices on yield, lumber value, economic return and other benefits. In: Stand Density Management Conference: Using the Planning Tools. November 23–24, 1998, Colin R. Bamsey Clear Lake Ltd., Edmonton, AB. pp. 7–16. https://www.for.gov.bc.ca/hts/growth/download/TASS_SYLVER_TIPSY.pdf
TADAMTypeBritish ColumbiaForest RegionWestern SPFEven-agedManaged 2, 5"TADAM: A dynamic whole-stand approximation for the TASS growth model"
"TADAM"