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Grant: Strategic Projects - Group

Lakehead University

$204,300.00

Intensive silviculture and competition theory: linking practice and science

FY 2007-08

Summary
Intensive silviculture (IS) may resolve some of the challenges currently facing industrial forestry and the landbase that supports it in Canada. These challenges include a short-term over- commitment of commercial fibre, calls for more protected spaces and demand for an increasing variety of products, including high quality wood. IS prescriptions are based on assumptions about the nature of competition in boreal forest systems. First, that the majority of site resources can be effectively directed to crop trees (competitive exclusion) and that some species mixtures better partition the resources available (competitive production). Our project investigates two hypotheses that will address these assumptions and provide guidance for the development of more effective IS interventions. We will use a series of four established trials, in northwestern and northeastern Ontario, at three critical stages of stand development - establishment (5 years), crown closure (20 years) and mature (over 100 years). Historical datasets will be supplemented by new field and laboratory work to capture better estimates of above- and below-ground parameters including root structure and stratification. DNA bar coding will be used to identify root and fungal tissues. Mensurational and process-based data will provide the basis for a new tree-level model that will be linked to tree height and/or crown dimension. Our private sector partners, Tembec Inc and the Forest Research Partnership, require such a model to predict the effects of IS strategies on target species and other key ecosystem parameters (e.g. soil organic matter, nutrient mineralization rates, tree layer productivity). Our public sector partners, Ontario Forest Research Institute and the Canadian Forest Service, require this science to inform the development of forest management policy. All our partners will participate fully in the collection of data, the development of the model and the supervision/mentoring of graduate students and other HQP.
Program
Strategic Projects - Group
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
350778-2007
Name nom
Luckai, Nancy
Department département
Forestry and the Forest Environment, Faculty of
Organization id
25
Institution établissement
Lakehead University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2007
Award amount
204300
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1060
Committee name en
Strategic Projects Selection Panel - Environment B
Committee name fr
Comité de sélection des projets stratégiques - Environnement B
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
4710
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Terrestrial ecology
Research subject fr
Écologie terrestre
Partie
1
Nb partie
3
Application title
Intensive silviculture and competition theory: linking practice and science
Keyword
NA
Application summary
Intensive silviculture (IS) may resolve some of the challenges currently facing industrial forestry and the landbase that supports it in Canada. These challenges include a short-term over- commitment of commercial fibre, calls for more protected spaces and demand for an increasing variety of products, including high quality wood. IS prescriptions are based on assumptions about the nature of competition in boreal forest systems. First, that the majority of site resources can be effectively directed to crop trees (competitive exclusion) and that some species mixtures better partition the resources available (competitive production). Our project investigates two hypotheses that will address these assumptions and provide guidance for the development of more effective IS interventions. We will use a series of four established trials, in northwestern and northeastern Ontario, at three critical stages of stand development - establishment (5 years), crown closure (20 years) and mature (over 100 years). Historical datasets will be supplemented by new field and laboratory work to capture better estimates of above- and below-ground parameters including root structure and stratification. DNA bar coding will be used to identify root and fungal tissues. Mensurational and process-based data will provide the basis for a new tree-level model that will be linked to tree height and/or crown dimension. Our private sector partners, Tembec Inc and the Forest Research Partnership, require such a model to predict the effects of IS strategies on target species and other key ecosystem parameters (e.g. soil organic matter, nutrient mineralization rates, tree layer productivity). Our public sector partners, Ontario Forest Research Institute and the Canadian Forest Service, require this science to inform the development of forest management policy. All our partners will participate fully in the collection of data, the development of the model and the supervision/mentoring of graduate students and other HQP.
Lakehead University - $204,300 Grant (2007-08) | Canada Spends