Grant: Discovery Grants Program - Individual
York University
$16,260.00
Multidimensional spatial patterns of vegetation recovery post disturbance
EF 2009-10
Résumé
The boreal forest forms a wide circum-polar swath covering extensive regions of Canada, Scandinavia, and Siberia. This biome provides natural functioning to regulate numerous atmospheric and hydrologic processes while providing habitat for many species of flora and fauna. Susceptible to extensive natural disturbances (e.g. fire, insects, wind), these northern forests are effectively described as forming a heterogeneous dynamic landscape mosaic. Additionally, the vast boreal forest represents a renewable natural resource that results in extensive harvesting operations for extracting timber and wood fiber; thus further altering the mosaic through anthropogenic influences.
Current forest management policies stress the requirement of emulating natural disturbances while planning forest-harvesting operations. Such legislated policies assume that the boreal environment is somehow able to better recover from, or unaffectedly develop following natural disturbances. Thus, any anthropogenic alterations of the landscape should mimic these acceptable natural disturbances. The problem remains that science currently cannot unequivocally explain the ecological differences among disturbance regimes nor can they scientifically claim that natural disturbances are better for the environment than are disturbances with anthropogenic origins. This research has the goal to discover linkages among specific spatial patterns and ecological processes and to elucidate any differences among forest disturbance types. If a spatial pattern can be contextualized as a realization of a spatial process at an instant in time, then that pattern should contain some insight to the process(es) that developed it. It is the analysis and comparison of spatial patterns created by forest disturbances and the re-vegetation process that I wish to explore within a multidimensional spatial and temporal framework. Research will integrate data from fieldwork, satellite imaging, and spatial statistical analysis.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
341895-2007
Name nom
Remmel, Tarmo
Department département
Geography
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2007
Award amount
16260
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9
Committee name en
Environmental Earth Sciences
Committee name fr
Sc. de la Terre : environ.
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
4102
Research subject group en
Geographical information
Research subject group fr
Information géographique
Research subject en
Remote sensing
Research subject fr
Télédétection
Partie
3
Nb partie
5
Application title
Multidimensional spatial patterns of vegetation recovery post disturbance
Keyword
NA
Application summary
The boreal forest forms a wide circum-polar swath covering extensive regions of Canada, Scandinavia, and Siberia. This biome provides natural functioning to regulate numerous atmospheric and hydrologic processes while providing habitat for many species of flora and fauna. Susceptible to extensive natural disturbances (e.g. fire, insects, wind), these northern forests are effectively described as forming a heterogeneous dynamic landscape mosaic. Additionally, the vast boreal forest represents a renewable natural resource that results in extensive harvesting operations for extracting timber and wood fiber; thus further altering the mosaic through anthropogenic influences.
Current forest management policies stress the requirement of emulating natural disturbances while planning forest-harvesting operations. Such legislated policies assume that the boreal environment is somehow able to better recover from, or unaffectedly develop following natural disturbances. Thus, any anthropogenic alterations of the landscape should mimic these acceptable natural disturbances. The problem remains that science currently cannot unequivocally explain the ecological differences among disturbance regimes nor can they scientifically claim that natural disturbances are better for the environment than are disturbances with anthropogenic origins. This research has the goal to discover linkages among specific spatial patterns and ecological processes and to elucidate any differences among forest disturbance types. If a spatial pattern can be contextualized as a realization of a spatial process at an instant in time, then that pattern should contain some insight to the process(es) that developed it. It is the analysis and comparison of spatial patterns created by forest disturbances and the re-vegetation process that I wish to explore within a multidimensional spatial and temporal framework. Research will integrate data from fieldwork, satellite imaging, and spatial statistical analysis.