Nicolas Mansuy

TL;DR: In this paper, the authors simulated changes in tree growth and disturbances at the southern edge of Canada's boreal zone and projected changes in forest landscapes resulting from four climate scenarios (baseline RCP 2.6, RCP 4.5 and RCP 8.5).

TL;DR: By the end of 2020, the first worldwide product that fully meets the GlobalSoilMap specifications will be delivered, and the pro and cons of top-down and bottom-up approaches to produce such maps are discussed and their complementarity is stressed.

TL;DR: In this article, the authors used the kNN method to generate continuous national maps of selected soil variables (C, N and soil texture) for the Canadian managed forest landbase at 250m resolution.

TL;DR: In this paper, the effects of dry surficial deposit-drainage (SDD) on spatial variations of the fire cycle of a large territory (190,000, km2) located in the boreal forest of eastern Canada were assessed using random sampling points.

TL;DR: In this article, the authors compared the cross-product performance of eight statistical approaches (linear, additive and geostatistical models, and four machine learning techniques) and three model formulations (covariates only, spatial only, a function of geographic coordinates only, and covariates+spatial) to predict five key forest soil properties in the organic layer (thickness and C:N ratio).