Grant: Discovery Grants Program - Individual
Université du Québec à Rimouski
$36,000.00
Linking forest structure to forest productivity using remote sensing
FY 2023-24
Summary
Forest productivity, or how forests grow, is influenced by how the trees, their branches, and their leaves are positioned within the canopy. This complexity is, in turn, determined by both the species found in the forest and the architecture of individual trees. Past studies have reported that forests with a greater diversity of tree species have higher productivity; for example, higher-diversity forests can have less-spaced trees, leading to more trees in a given area. However, trees in mixed stands will occupy the canopy differently than if found within a monospecific stand. The relative effect of diversity versus structure on forest productivity remains nevertheless difficult to untangle. The question thus arises: Should forest managers aim for complexity or diversity to increase stand productivity? Advances in remote sensing, such as terrestrial and airborne LiDAR, have enabled researchers and forest managers to gain valuable insight into the detailed structure of forest canopies. The general objective of this research program is to improve forest management practices by describing forest structure and understanding its relationship to forest productivity. To achieve this long-term goal, the proposed research program will be divided into three themes: (I) develop easy-to-use indices to quantify stand structure for forest management. These remote sensing-derived indices quantify the 3D arrangement of woody and leaf material within a stand; (II) understand how forest structure influences forest productivity; and (III) synthesize this acquired information within a modelling framework to derive new forest management tools. The effect of forest structure on productivity will be studied within both an ecophysiological and biomechanical framework. Trees growing under different environmental and structural conditions differ in their growth. In terms of ecophysiology, climatic variables are hypothesized to influence how water flows within a tree and how growth shifts among the various tree compartments. In regard to biomechanics, trees subjected to strong winds will favour secondary growth (e.g. diameter growth at the base of the tree) to prevent buckling under mechanical constraints. The way wind interacts with forests is thus linked to canopy structure, through fluid dynamics at the canopy-atmosphere junction, and canopy porousness, by which wind enters the forest. The results will help better understand how forest diversity and structural complexity interact and influence forest productivity. For the forest industry to continue or increase its critical contribution to Canada's economy, forest management must adapt to new realities, such as ecosystem-based management and global change. Natural and anthropogenic disturbances will continue to increase pressure on Canada's forests. An improved understanding of stand structure and growth permits an evaluation of how best to structure forests to ensure they are resilient to projected pressures.
Program
Discovery Grants Program - Individual
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2021-02802
Name nom
Schneider, Robert
Department département
Biologie, chimie et géographie - Biologie, chimie et géographie
Organization id
58
Institution établissement
Université du Québec à Rimouski
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
36000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1506
Committee name en
Geosciences
Committee name fr
Géosciences
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
Forest management
Research subject en
Génie forestier
Research subject fr
Aménagement forestier
Application title
Linking forest structure to forest productivity using remote sensing
Keyword
Airborne lidar; Fores productivity; Forest composition; Forest management; Forest structure; Modeling; Terrestrial lidar
Application summary
Forest productivity, or how forests grow, is influenced by how the trees, their branches, and their leaves are positioned within the canopy. This complexity is, in turn, determined by both the species found in the forest and the architecture of individual trees. Past studies have reported that forests with a greater diversity of tree species have higher productivity; for example, higher-diversity forests can have less-spaced trees, leading to more trees in a given area. However, trees in mixed stands will occupy the canopy differently than if found within a monospecific stand. The relative effect of diversity versus structure on forest productivity remains nevertheless difficult to untangle. The question thus arises: Should forest managers aim for complexity or diversity to increase stand productivity? Advances in remote sensing, such as terrestrial and airborne LiDAR, have enabled researchers and forest managers to gain valuable insight into the detailed structure of forest canopies. The general objective of this research program is to improve forest management practices by describing forest structure and understanding its relationship to forest productivity. To achieve this long-term goal, the proposed research program will be divided into three themes: (I) develop easy-to-use indices to quantify stand structure for forest management. These remote sensing-derived indices quantify the 3D arrangement of woody and leaf material within a stand; (II) understand how forest structure influences forest productivity; and (III) synthesize this acquired information within a modelling framework to derive new forest management tools. The effect of forest structure on productivity will be studied within both an ecophysiological and biomechanical framework. Trees growing under different environmental and structural conditions differ in their growth. In terms of ecophysiology, climatic variables are hypothesized to influence how water flows within a tree and how growth shifts among the various tree compartments. In regard to biomechanics, trees subjected to strong winds will favour secondary growth (e.g. diameter growth at the base of the tree) to prevent buckling under mechanical constraints. The way wind interacts with forests is thus linked to canopy structure, through fluid dynamics at the canopy-atmosphere junction, and canopy porousness, by which wind enters the forest. The results will help better understand how forest diversity and structural complexity interact and influence forest productivity. For the forest industry to continue or increase its critical contribution to Canada's economy, forest management must adapt to new realities, such as ecosystem-based management and global change. Natural and anthropogenic disturbances will continue to increase pressure on Canada's forests. An improved understanding of stand structure and growth permits an evaluation of how best to structure forests to ensure they are resilient to projected pressures.