Prediction of Distribution of Prangos uloptera DC. Using Two Modeling Techniques in Southern Rangelands of Ardabil Province, Iran

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.

Esfanjani Javad; GHORBANI ARDAVAN; MOAMERI MEHDI; ZARE CHAHOUKI MOHAMMAD ALI; ESMALI OURI ABAZAR; MIRZAEI MOSSIVAND AMIR

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

Journal Paper

Paper Information

Journal: JOURNAL OF RANGELAND SCIENCE Year:2020 | Volume:10 | Issue:2 Page(s): 137-148

Download Full-Text

Persian Verion

View:

213

Download:

112

Cites:

Information Journal Paper

Title

Prediction of Distribution of Prangos uloptera DC. Using Two Modeling Techniques in Southern Rangelands of Ardabil Province, Iran

Author(s)

Keywords

Logistic regressionQ2

MaxEntQ1

Environmental factorsQ2

Ardabil provinceQ1

Abstract

Investigation of the relationship between plant species and Environmental factors plays an important role in plant ecology. The present study aimed to develop the best predicting model for distribution of Prangos uloptera DC. using Logistic regression (LR) and Maximum Entropy Methods (MaxEnt) in its habitat in the southern rangeland of Ardabil province, Iran. Vegetation data (presence and absence of P. uloptera) and Environmental factors (including soil, topography and climatic variables) were collected. The original vegetation type map was prepared using slope and elevation maps (1: 25000 scale) and satellite imagery (Landsat). Vegetation samples were collected in 2016. In each site, three transects of 100 m length were deployed (two transects in the direction of a gradient and one transect perpendicular to the slope direction). On each transect, ten 4m2 plots were placed along each transect, and the total canopy cover and plant density were recorded. Overall, 180 plots were sampled in six sites. Soil samples were collected at a depth of 0-30 cm at the beginning and end of each transect. The LR method was performed in the SPSS Ver. 19 software, and the Maximum Entropy method was carried out in the MaxEnt Ver. 3. 1 software. The LR model showed that rainfall had the highest effect on the distribution of the P. uloptera habitat. The accuracy of the LR method for the prediction map was good (Kappa index= 0. 65). The MaxEnt method showed that variables including sand, Nitrogen (N), silt, and potassium (K) had the highest effect on distribution of P. uloptera habitat. However, the accuracy of the MaxEnt method was low (Kappa index=0. 35). It was concluded that modeling methods could be used as a prediction tool to determine the location of plant species. This may lead to better rangelands management and improvement in areas with similar conditions.

Cites

No record.

References

No record.

Cite

APA: Copy

Esfanjani, Javad, GHORBANI, ARDAVAN, MOAMERI, MEHDI, ZARE CHAHOUKI, MOHAMMAD ALI, ESMALI OURI, ABAZAR, & MIRZAEI MOSSIVAND, AMIR. (2020). Prediction of Distribution of Prangos uloptera DC. Using Two Modeling Techniques in Southern Rangelands of Ardabil Province, Iran. JOURNAL OF RANGELAND SCIENCE, 10(2 ), 137-148. SID. https://sid.ir/paper/393447/en

Vancouver: Copy

Esfanjani Javad, GHORBANI ARDAVAN, MOAMERI MEHDI, ZARE CHAHOUKI MOHAMMAD ALI, ESMALI OURI ABAZAR, MIRZAEI MOSSIVAND AMIR. Prediction of Distribution of Prangos uloptera DC. Using Two Modeling Techniques in Southern Rangelands of Ardabil Province, Iran. JOURNAL OF RANGELAND SCIENCE[Internet]. 2020;10(2 ):137-148. Available from: https://sid.ir/paper/393447/en

IEEE: Copy

Javad Esfanjani, ARDAVAN GHORBANI, MEHDI MOAMERI, MOHAMMAD ALI ZARE CHAHOUKI, ABAZAR ESMALI OURI, and AMIR MIRZAEI MOSSIVAND, “Prediction of Distribution of Prangos uloptera DC. Using Two Modeling Techniques in Southern Rangelands of Ardabil Province, Iran,” JOURNAL OF RANGELAND SCIENCE, vol. 10, no. 2 , pp. 137–148, 2020, [Online]. Available: https://sid.ir/paper/393447/en

Related Journal Papers