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Grant: Collaborative Research and Development Grants

University of New Brunswick

$63,000.00

Development of an advanced growth and yield model for multipurpose sustainable forest management

EF 2007-08

Résumé
We propose to establish a collaborative research partnership with the forest industry of Nova Scotia (NS) andthe NS Department of Natural Resources, with the specific goal to develop an advanced growth and yield (G&Y)model. The modelling framework envisioned will incorporate state-of-the-art technology to relate forest G&Y to biophysical conditions and site quality that control growth, species-response functions, and forest-stand dynamics under new silvicultural interventions. The model will be designed to provide stand and tree information required for provincial wood supply analyses and be the basis for future sustainable forest management planning in NS and elsewhere.Currently, forest management planning uses G&Y estimates derived from sampling plots placed throughout the forest. These G&Y values generally reflect average conditions in individual strata classified according tospecies composition and management history. Such G&Y values are normally acceptable when applied to even-aged stands treated with a single management regime, but not to inceasingly used uneven-aged management prescriptions. We will develop a robust, design-based empirical tree model that will incorporate process-based data. Forest industry in NS will directly benefit from this research by having a scientifically-defensible G&Y prediction protocol. Training of partners in model calibration and use will take place. The G&Y model envisioned here will be sufficiently general in its structure and content that it can be transferred to other jurisdictions in Canada, and elsewhere. The NS G&Y model has potential to be used to address questions of national importance including impacts of climate change on stand and landscape development processes, species replacement, and ecosystem integrity and use of forests for carbon sequestration under constraints of wood utilization and forest management.
Programme
Collaborative Research and Development Grants
Emplacement
New Brunswick, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
349436-2006
Name nom
MacLean, David
Department département
Forestry and Environmental Management, Faculty of
Organization id
75
Institution établissement
University of New Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2006
Award amount
63000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
201
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Forestry (silviculture, forest management)
Area of application fr
Foresterie (sylviculture, aménagement forestier)
Research subject code
1301
Research subject group en
Forest engineering
Research subject group fr
Génie forestier
Research subject en
Forest management
Research subject fr
Aménagement forestier
Partie
1
Nb partie
3
Application title
Development of an advanced growth and yield model for multipurpose sustainable forest management
Keyword
NA
Application summary
We propose to establish a collaborative research partnership with the forest industry of Nova Scotia (NS) andthe NS Department of Natural Resources, with the specific goal to develop an advanced growth and yield (G&Y)model. The modelling framework envisioned will incorporate state-of-the-art technology to relate forest G&Y to biophysical conditions and site quality that control growth, species-response functions, and forest-stand dynamics under new silvicultural interventions. The model will be designed to provide stand and tree information required for provincial wood supply analyses and be the basis for future sustainable forest management planning in NS and elsewhere.Currently, forest management planning uses G&Y estimates derived from sampling plots placed throughout the forest. These G&Y values generally reflect average conditions in individual strata classified according tospecies composition and management history. Such G&Y values are normally acceptable when applied to even-aged stands treated with a single management regime, but not to inceasingly used uneven-aged management prescriptions. We will develop a robust, design-based empirical tree model that will incorporate process-based data. Forest industry in NS will directly benefit from this research by having a scientifically-defensible G&Y prediction protocol. Training of partners in model calibration and use will take place. The G&Y model envisioned here will be sufficiently general in its structure and content that it can be transferred to other jurisdictions in Canada, and elsewhere. The NS G&Y model has potential to be used to address questions of national importance including impacts of climate change on stand and landscape development processes, species replacement, and ecosystem integrity and use of forests for carbon sequestration under constraints of wood utilization and forest management.