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Found 10 records similar to Spruce budworm: measurement of foliage on balsam fir and white spruce for absolute density estimation
This dataset is associated with the article authored by Louis De Grandpré et al. titled "Defoliation-induced changes in foliage quality may trigger broad-scale insect outbreaks" accepted for publication in Communications Biology. In this study, progression of a spruce budworm outbreak over several years was shown to be associated with increased soil nutrient fluxes and availability and improved foliage quality in surviving host trees.
This dataset is associated with the article authored by Jacques Régnière, Lisa Venier and Dan Welsh entitled "Avian predation in a declining outbreak population of the spruce budworm, Choristoneura fumiferana (Lepidoptera: Tortricidae)" which will be published in the "Insects" scientific journal. The impact of avian predation on a declining population of the spruce budworm, Choristoneura fumifereana (Clem. ), was measured using single-tree exclosure cages in a mature stand of balsam fir, Abies balsamea (L.), and white spruce, Picea glauca (Moench.) Voss.
Data used in the article, Ecology of outbreak populations of the western spruce budworm by V. Nealis and J. Régnière in Ecosphere 2021.
To slow the spread of the Brown spruce longhorn beetle to new areas, the Canadian Food Inspection Agency (CFIA) uses measures to control the movement of potentially infested materials. Slowing the spread of the Brown spruce longhorn beetle will protect Canada's environment and forest resources. It also helps keep international markets open to the forest industry and nurseries in non-regulated parts of Ontario and Quebec and in the rest of Canada.
This dataset is associated with the article authored by Marine Pacé, David Paré, Nicole Fenton and Yves Bergeron entitled "Effect of lichen, Sphagnum spp. and feather moss leachates on jack pine and black spruce growth ". It includes growth surveys of jack pine and black spruce in greenhouse at different stages of development (0-6 month-old and 2 year-old seedlings). Seedlings were subjected to different types of leachates: jack pine was subjected to control (bare soil), feather moss and lichen leachates; black spruce was subjected to control (bare soil), feather moss and Sphagnum spp.
This dataset is associated with the article by Marine Pacé, Nicole J. Fenton, David Paré and Yves Bergeron entitled "Differential effects of feather and Sphagnum spp. mosses on black spruce germination and growth". It includes data of black spruce germination (greenhouse), seedling growth (0 to 6 months, greenhouse) and sapling growth (2-3 years, greenhouse and field, 49°44’N, 79°17’W). Seeds, seedlings and saplings were subjected to different treatments: 3 types of ground cover (bare soil, feather mosses, Sphagnum spp.
This database contains the data set described in Andrieux B. et al. (in preparation) about soil organic carbon bioreactivity in Quebec's spruce feathermoss forests. The soil carbon bioreactivity has been evaluated with long-term lab incubations. Carbon density in different soil functional reservoirs is available at the plot scale (n = 72): total C stock in the O layer (FH horizon), total C stock in the mineral soil (0 to 35 cm), total bioreactive C stock, total acid-insoluble C stock.
This measure includes monitoring of browsing impacts of non-native mammals on populations of the balsam fir populations at 30 randomly selected plots. This measure records percent of browsing on particular firs, and collects multiple metrics, including species diversity, seral stage, etc.
Canada's National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On the other hand, continuous maps of forest attributes are required to support strategic analyses of regional policy and management issues. We have therefore produced maps covering 4.03 × 106 km2 of inventoried forest area for the 2001 base year using standardised observations from the NFI photo plots (PP) as reference data. We used the k nearest neighbours (kNN) method with 26 geospatial data layers including MODIS spectral data and climatic and topographic variables to produce maps of 127 forest attributes at a 250 × 250 m resolution.