BeltranCarrasco2021

Reference

Beltran Carrasco, F. (2021) Identification des zones pour l'établissement de plantations d'épinette blanche (Picea glauca) améliorée dans la réserve faunique du Saint-Maurice, QC. Master's thesis, Université Laval. (URL )

Abstract

White spruce (Picea glauca (Moench) Voss) is one of the most important species for reforestation in Canada. Given its importance for Canada’s forest industry, white spruce is therefore the object of important genetic improvement programs in most provinces. To optimize the use of genetically improved spruce trees, better identification of reforestation sites would be desirable. To identify those sites, data from plantation inventories carried out by the government of Quebec were used, along with climatic, topographic, edaphic, and hydrological variables, to determine which variables best predicted site index. Three models were tested, namely the “general” model, which used data derived from the current mapping at a scale of 1 / 20,000 for the entire forest territory of Quebec, a model “simplified” that use the ecoforestry map information and the location of inventory plots and the “LiDAR” model, which used information from digital elevation models generated with LiDAR data for the area in Quebec with available information. Even if the predictive accuracy of the general model is low, it is slightly better than previously published studies. A methodology was proposed to generate a productivity map of the Saint-Maurice wildlife reserve. This map, overlapped with the map of plantation constraints, determined that only 0,18% of the total area of the reserve showed areas of high productivity (Site index > 12 m) without plantation constraints. However, the majority of the areas of the reserve (59,85%) still offer areas with good productivity (Site index of 8 to 12 m) and no constraints for planting.

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@MASTERSTHESIS { BeltranCarrasco2021,
    TITLE = { Identification des zones pour l'établissement de plantations d'épinette blanche (Picea glauca) améliorée dans la réserve faunique du Saint-Maurice, QC },
    AUTHOR = { Beltran Carrasco, F. },
    SCHOOL = { Université Laval },
    YEAR = { 2021 },
    NOTE = { CEFTMS, Gélinas, N. and Simard, M. },
    ABSTRACT = { White spruce (Picea glauca (Moench) Voss) is one of the most important species for reforestation in Canada. Given its importance for Canada’s forest industry, white spruce is therefore the object of important genetic improvement programs in most provinces. To optimize the use of genetically improved spruce trees, better identification of reforestation sites would be desirable. To identify those sites, data from plantation inventories carried out by the government of Quebec were used, along with climatic, topographic, edaphic, and hydrological variables, to determine which variables best predicted site index. Three models were tested, namely the “general” model, which used data derived from the current mapping at a scale of 1 / 20,000 for the entire forest territory of Quebec, a model “simplified” that use the ecoforestry map information and the location of inventory plots and the “LiDAR” model, which used information from digital elevation models generated with LiDAR data for the area in Quebec with available information. Even if the predictive accuracy of the general model is low, it is slightly better than previously published studies. A methodology was proposed to generate a productivity map of the Saint-Maurice wildlife reserve. This map, overlapped with the map of plantation constraints, determined that only 0,18% of the total area of the reserve showed areas of high productivity (Site index > 12 m) without plantation constraints. However, the majority of the areas of the reserve (59,85%) still offer areas with good productivity (Site index of 8 to 12 m) and no constraints for planting. },
    URL = { https://corpus.ulaval.ca/jspui/handle/20.500.11794/67893 },
    TIMESTAMP = { 2021-02-16 },
}

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