Work

A Visualization-Based Analysis of the Current Status and Development of the MaxEnt Model in Ecological Suitability Research

Year: 2025

Type: conference-paper

Abstract: Addressing biodiversity loss from climate change and human activities is an urgent global task. Ecological suitability analysis and spatiotemporal distribution pattern prediction are key solutions, with the MaxEnt model being a focal point in biodiversity conservation research. This study uses Citespace to visualize and analyze nearly 20 years of related literature from China National Knowledge Infrastructure. It aims to explore the current state and development trend of ecological suitability and spatiotemporal distribution pattern prediction based on the MaxEnt model. Results show that: (1) the number of publications in this field is steadily increasing, indicating widespread scientific attention; (2) the University of Chinese Academy of Sciences takes the lead in research and has formed a collaborative network with many institutions; (3) keywords like environmental factors, suitability, and climate factors are current research hotspots. This study reveals the research status and development trend of the MaxEnt model in predicting species suitability and spatial distribution, offering significant insights for addressing climate change and human activities in biodiversity conservation.

Source: International Conference on Education, Knowledge and Information Management (ICEKIM)

DOI: 10.1145/3756580.3756613

Authors: Yuchen Zhao, Zhouli Liu, Shuyan Zhang, Hengyu Liu, Sihui Zhong, Yijie Liu

Institutions: China Geological Survey, Shenyang University, Ministry of Natural Resources

Language: English

Topic: Species Distribution and Climate Change

Subfield: Ecological Modeling

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Climate action

Open Access status: hybrid

Funders: Liaoning Revitalization Talents Program, China Geological Survey