Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 16, 04 December 2023
Open
Access | Article
Prediction of species invasion based on GIS
* Author to whom correspondence should be addressed.
Abstract
Along with the deepening of economic globalization, the expansion of human activities, and the development of transportation networks, the phenomenon of species invasion has become increasingly common in human life, which not only affects the balance and stability of the original ecological environment but also has an impact on human normal life. Therefore, it is necessary to timely prevent and control species invasion, in which the timely prediction and analysis of species invasion is particularly important in species invasion prevention and control management. Based on GIS has strong integration and presentation capabilities for geographic information, this article selects GIS as a medium to explain the general methods of species invasion prediction and analysis, specifically divided into two parts: prediction of colonization possibility of invasive species and prediction of the potential geographical distribution. Through the organization and explanation in this article, the importance of GIS in geographic data presentation is clarified, as well as how to use the method of ecological niche modeling to process and analyze geographic information data, and the specific steps of using GIS technology and data to analyze species invasion. Through these steps, timely prevention and control of invasive species can be achieved, thereby protecting the environment, and maintaining a normal human life, which is necessary for people today and in the future.
Keywords
GIS, Species Invasion, Ecological Niche Models, Prediction
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Modern Medicine and Global Health
- ISBN (Print)
- 978-1-83558-195-7
- ISBN (Online)
- 978-1-83558-196-4
- Published Date
- 04 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/16/20240547
- Copyright
- 04 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited