Predicting the Invasion Potential of Non-Native Plants in Iran at Regional and Provincial Scales Using Climate Data

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Oveisi Mostafa; Bacher Sven; Mueller Schaerer Heinz

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: IRANIAN WEED SCIENCE CONGRESS
Year:2023 | Issue:10

Download Full-Text

View:

Download:

Information Seminar Paper

Title

Predicting the Invasion Potential of Non-Native Plants in Iran at Regional and Provincial Scales Using Climate Data

Author(s)

Oveisi Mostafa | Bacher Sven | Mueller Schaerer Heinz

Keywords

EICAT

Invasive plants

Non-native species

Risk assessment

Regional impact classification

RIC

Abstract

There are various potential outcomes for a Non-native species introduced to a new area: 1) Unsuccessful in establishing colonies, 2) successful in establishing colonies but not becoming fully established, remaining a casual species, 3) Successful in establishing a population and becoming a naturalized species, and 4) becoming invasive. Predicting the destiny of a Non-native species after introduction is a crucial question. Current methods, such as EICAT (Environmental Impact Classification for Alien Taxa), score species based on scientific documents to deliver a general classification. However, when it comes to decisionmaking, more advanced predictions at a regional scale are necessary. To address this need, we propose the Regional impact classification (RIC) method, which can predict the fate of Non-native species after their introduction into a new area. The RIC method combines EICAT scores with climate suitability coefficients derived from Species Distribution Models (SDMs) to create an impact score ranging from 0 to 1. Regions along the Caspian seashore, specifically Guilan and Mazandaran provinces, show very high-risk (VHR) and high-risk (HR) scores. Generally, areas surrounding the Caspian Sea, including Eastern Azerbaijan, Ardabil, Guilan, Mazandaran, and Golestan, exhibit at least a medium-risk (MR) level of impact risk. Additionally, some areas in the west (Kurdistan and Lorestan provinces), south (Bushehr and Hormozgan provinces), and southeast (Sistan-Baluchestan province) of Iran receive a MR score. The RIC method provides a spatially explicit impact score that can aid in prioritizing the management of invasive nonnative plants at the regional level, where such decisions are commonly made. RIC remains a flexible and adaptable tool that can be further developed according to the demands of decision-makers.

Cites

No record.

References

No record.

Cite

APA: Copy

Oveisi, Mostafa, Bacher, Sven, & Mueller Schaerer, Heinz. (2023). Predicting the Invasion Potential of Non-Native Plants in Iran at Regional and Provincial Scales Using Climate Data. IRANIAN WEED SCIENCE CONGRESS. SID. https://sid.ir/paper/1128221/en

Vancouver: Copy

Oveisi Mostafa, Bacher Sven, Mueller Schaerer Heinz. Predicting the Invasion Potential of Non-Native Plants in Iran at Regional and Provincial Scales Using Climate Data. 2023. Available from: https://sid.ir/paper/1128221/en

IEEE: Copy

Mostafa Oveisi, Sven Bacher, and Heinz Mueller Schaerer, “Predicting the Invasion Potential of Non-Native Plants in Iran at Regional and Provincial Scales Using Climate Data,” presented at the IRANIAN WEED SCIENCE CONGRESS. 2023, [Online]. Available: https://sid.ir/paper/1128221/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops