Predicting the geographical distribution and niche characteristics of Cotoneaster multiflorus based on future climate change

202411 citationsJournal Articlegold Open Access

Authors

Qiuliang Huang · Fujian Agriculture and Forestry University

Haoyang Liu · Fujian Agriculture and Forestry University

Changshun Li · Fujian Agriculture and Forestry University

Xiaoru Zhu

Zongsheng Yuan · Minjiang University

Jialiang Lai · Fujian Agriculture and Forestry University

Minghui Cao · Fujian Agriculture and Forestry University

Abstract

The MaxEnt 2.0 model predicted the potential distribution pattern of <i>C. multiflorus</i> in the context of future climate change, and identified its ecological adaptability and the main climatic factors affecting its distribution. This study provides an important theoretical basis for natural vegetation restoration in arid and semi-arid areas.

Topics & Keywords

Species Distribution and Climate Change Remote Sensing in Agriculture Animal and Plant Science Education

UN Sustainable Development Goals

Climate action

Publication Details

Published in: Frontiers in Plant Science

Volume 15, pp. 1360190-1360190

DOI: 10.3389/fpls.2024.1360190

Field-Weighted Citation Impact: 10.14