Work

Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China

Year: 2022

Type: article

Source: The Science of The Total Environment

DOI: 10.1016/j.scitotenv.2022.156867

Authors: Ziyi Zhao, Nengwen Xiao, Mei Shen, Junsheng Li

Institutions: Chinese Research Academy of Environmental Sciences, Lanzhou University

Language: English

Topic: Species Distribution and Climate Change

Subfield: Ecological Modeling

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: closed

Funder: Ministry of Ecology and Environment, The People’s Republic of China

Award: G5144395686

OpenAlex ID: W4283390909

FWCI: 91.51

Cites: 81

Cited by: 175

Related to: 10