Volume 8, Issue 2 (9-2014)                   مرتع 2014, 8(2): 106-115 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Zarechahuoki M, Abbasi M, Azarnivand H. Evaluating the ability of artificial neural network model in predicting the spatial distribution of plant species (case study: rangeland of Taleghan miany). مرتع. 2014; 8 (2) :106-115
URL: http://rangelandsrm.ir/article-1-225-en.html
University of Tehran
Abstract:   (5872 Views)

This study aimed to evaluate the Artificial Neural Network (ANN) model potential to predict the spatial distribution of plant species.  The vegetation data as well as topography, climate, geology and soil data were collected. A randomized-systematic method was used to collect the vegetation data. Three parallel transects with 150 meters lengths were established in each sampling unit, and the vegetation data were collected from 15 quadrates placed with intervals of 10 meters. Various geo-statistical methods were used to produce environmental maps, and ANN technique was used to predict the potential vegetation habitats. The produced model was assessed using Kappa coefficient. According to the results, the study area was identified as a good habitat for species such as Agropyron intermedium, Thymus kotschyanus, Astragalus gossypinus and Stipa barbata with Kappa coefficient of 0.95, 0.84, 0.83 and 0.7 respectively. The results indicated that ANN technique has good potential to predict the spatial distribution of range species. According to the results, the accuracy of the model prediction for the species of all four studied habitats was more than 95%. This indicates that the potential habitat maps of plant species can be produced appropriately by using the selected soil and climatic variables in a plant distribution model.

Full-Text [PDF 523 kb]   (1047 Downloads)    
Type of Study: Research | Subject: Special
Received: 2015/12/7 | Accepted: 2015/12/7 | Published: 2015/12/7

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 All Rights Reserved | Rangeland

Designed & Developed by : Yektaweb