Potentially suitable geographical area for Colletotrichum acutatum under current and future climatic scenarios based on optimized MaxEnt model

Global climate warming has led to changes in the suitable habitats for fungi. <i>Colletotrichum acutatum</i>, a common fungus causing anthracnose disease, is widely distributed in southern China. Currently, research on the relationship between <i>C. acutatum</i> and environmental warming was limited. In this study, MaxEnt and ArcGIS software were used to predict the suitable habitats of <i>C. acutatum</i> under current and future climate conditions based on its occurrence records and environmental factors. The optimal MaxEnt model parameters were set as feature combination (FC) = lp and regularization multiplier (RM) = 2.6. Bio15, Bio12, Bio09, and Bio19 were identified as the main environmental factors influencing the distribution of <i>C. acutatum</i>. Under current climate conditions, <i>C. acutatum</i> was distributed across all continents globally, except Antarctica. In China, <i>C. acutatum</i> was primarily distributed south of the Qinling-Huaihe Line, with a total suitable area of 259.52 × 10<sup>4</sup> km<sup>2</sup>. Under future climate conditions, the potential suitable habitat area for <i>C. acutatum</i> was expected to increase and spread towards inland China. The results of this study provided timely risk assessment for the distribution and spread of <i>C. acutatum</i> in China and offer scientific guidance for monitoring and timely controlled of its distribution areas.

Authors

Institutions

Publication Details

Journal
Frontiers in Microbiology
Published
2024-09-23
DOI
https://doi.org/10.3389/fmicb.2024.1463070
Citations
8
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
2.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potentially suitable geographical area for Colletotrichum acutatum under current and future climatic scenarios based on optimized MaxEnt model

Habib Ali, Danping Xu, Chun Fu, Yaqin Peng et al.
8 citations
Frontiers in Microbiology
Plant Pathogens and Fungal Diseases
2.61
article

Potentially suitable geographical area for Colletotrichum acutatum under current and future climatic scenarios based on optimized MaxEnt model

Habib Ali, Danping Xu, Chun Fu, Yaqin Peng, Zhipeng He, Fengrong Yang
article en
8 citations

Abstract

Global climate warming has led to changes in the suitable habitats for fungi. <i>Colletotrichum acutatum</i>, a common fungus causing anthracnose disease, is widely distributed in southern China. Currently, research on the relationship between <i>C. acutatum</i> and environmental warming was limited. In this study, MaxEnt and ArcGIS software were used to predict the suitable habitats of <i>C. acutatum</i> under current and future climate conditions based on its occurrence records and environmental factors. The optimal MaxEnt model parameters were set as feature combination (FC) = lp and regularization multiplier (RM) = 2.6. Bio15, Bio12, Bio09, and Bio19 were identified as the main environmental factors influencing the distribution of <i>C. acutatum</i>. Under current climate conditions, <i>C. acutatum</i> was distributed across all continents globally, except Antarctica. In China, <i>C. acutatum</i> was primarily distributed south of the Qinling-Huaihe Line, with a total suitable area of 259.52 × 10<sup>4</sup> km<sup>2</sup>. Under future climate conditions, the potential suitable habitat area for <i>C. acutatum</i> was expected to increase and spread towards inland China. The results of this study provided timely risk assessment for the distribution and spread of <i>C. acutatum</i> in China and offer scientific guidance for monitoring and timely controlled of its distribution areas.

Frontiers in MicrobiologyVol. 15
China West Normal University (CN), Leshan Normal University (CN), Khwaja Fareed University of Engineering and Information Technology (PK)
China West Normal University, Fundamental Research Funds of China West Normal University
Climate action
Openalex Percentile: Top 11%
Plant Pathogens and Fungal Diseases
2.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.