Digital mapping of soil texture in ecoforest polygons in Quebec, Canada.

ABSTRACT: Texture strongly influences the soil's fundamental functions in forest ecosystems. In response to the growing demand for information on soil properties for environmental modeling, more and more studies have been conducted over the past decade to assess the spatial variability of soil properties on a regional to global scale. These investigations rely on the acquisition and compilation of numerous soil field records and on the development of statistical methods and technology. Here, we used random forest machine learning algorithms to model and map particle size composition in ecoforest polygons for the entire area of managed forests in the province of Quebec, Canada. We compiled archived laboratory analyses of 29,570 mineral soil samples (17,901 sites) and a set of 33 covariates, including

SUBMITTER: Duchesne L 

PROVIDER: S-EPMC8234928 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature