Improved Prediction of Tree Species Richness and Interpretability of Environmental Drivers Using a Machine Learning Approach
Year: 2022
Type: article
Source: Forest Ecology and Management
Institutions: University of Memphis, Arizona State University
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: bronze
OpenAlex ID: W4366608261
