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Effects of harvest gap size, soil scarification, and vegetation control on regeneration dynamics in sugar maple-yellow birch stands

by Marie-Claude Boileau | 30 January 2019

Published in For. Sci. 62(2): 237-246 https://doi.org/10.5849/forsci.15-058 We investigated short-term regeneration dynamics after group selection cutting with understory vegetation control and soil scarification in a northern hardwood forest. We used three gap sizes...

Ecological gradients driving the distribution of four Ericaceae in boreal Quebec, Canada

by Marie-Claude Boileau | 30 January 2019

Published in Ecology and Evolution 5(9): 1837-1853. https://doi.org/110.1002/ece3.1476 Understory species play a significant role in forest ecosystem dynamics. As such, species of the Ericaceae family have a major effect on the regeneration of tree species in boreal...

Ecological benefits and risks arising from liming sugar maple dominated forests in northeastern North America

by Marie-Claude Boileau | 30 January 2019

Published in Environmental Review 23: 66-77. https://dx.doi.org/10.1139/er-2014-0048 Liming, the application of carbonate materials (e.g., CaCO3, CaMg(CO3)2) to soils and surface waters, has been used extensively in Europe, and to a lesser extent in Canada and the...

Eco Veg: a new approach to vegetation description and classification

by Audrey Verreault | 30 January 2019

Published in Ecological Monographs 84(4): 533-561 A vegetation classification approach is needed that can describe the diversity of terrestrial ecosystems and their transformations over large time frames, span the full range of spatial and geographic scales across the...

Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system

by Marie-Claude Boileau | 30 January 2019

Published in Applied Ergonomics 54: 158-168 https://doi.org/10.1016/j.apergo.2015.12.006 In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light,...
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