MaxEnt model-based the prediction of the potentially suitable distribution areas in China for Alternanthera philoxeroides

Cong Fu; Yongshuai Liu; Kai Ding; Yuanke Gao

doi:10.1117/12.2635809

6 May 2022 MaxEnt model-based the prediction of the potentially suitable distribution areas in China for Alternanthera philoxeroides

Cong Fu, Yongshuai Liu, Kai Ding, Yuanke Gao

Author Affiliations +

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122562F (2022) https://doi.org/10.1117/12.2635809
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

This paper predicts the potentially suitable area, grade division and adaptability evaluation of Alternanthera philoxeroides. It comprehensively analyzes the relationship between Alternanthera philoxeroides and climate, soil and altitude, which provides a scientific basis for monitoring and controlling the spread of Alternanthera philoxeroides. Using a combination of the MaxEnt niche model and ArcGis technology, this study is predicted potentially suitable distribution regions for Alternanthera philoxeroides. The results show that the total areas of highly suitable regions, suitable intermediate regions and low suitable regions for Alternanthera philoxeroides were 52.29×104km², 87.04×104km² and 103.35×104km², respectively, representing 5.45%, 9.07%, and 10.77% of China's land area, respectively. The highly suitable regions were mainly located along with the belt of Anhui Province, Jiangsu Province, Hubei Province, Hunan Province, Zhejiang Province and Guangdong Province. The dominant environmental factors affecting the distribution of Alternanthera philoxeroides were, sequentially according to the magnitude of influence, the precipitation during the driest month, altitude, the lowest temperature in the coldest month, the wettest quarterly average temperature and sediment concentration. The distribution of Alternanthera philoxeroides is affected by many environmental variables.

Citation Download Citation

Cong Fu, Yongshuai Liu, Kai Ding, and Yuanke Gao "MaxEnt model-based the prediction of the potentially suitable distribution areas in China for Alternanthera philoxeroides", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122562F (6 May 2022); https://doi.org/10.1117/12.2635809

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data modeling

Climatology

Soil science

Environmental sensing

Forestry

Model-based design

Carbon

Show All Keywords

Keywords/Phrases

Search In:

Publication Years