Volume 5, Issue 16 (9-2016)                   2016, 5(16): 85-97 | Back to browse issues page


XML Persian Abstract Print


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

Afrakhteh R, Asgarian A, Soffianian A. Application of Fractal Dimension to Assess the Effect of Scale on the Sensitivity of Landscape Metrics . Iranian Journal of Applied Ecology 2016; 5 (16) :85-97
URL: http://ijae.iut.ac.ir/article-1-766-en.html
Univ. of Hormozgan, Hormozgan, Iran.
Abstract:   (7732 Views)

The sensitivity of landscape metrics to the scale effect is one of the most challenging issues in landscape ecology and quantification of land use spatial patterns. In this study, fractal dimension was employed to assess the effect of scale on the sensitivity of landscape metric in the north of Iran (around Sari) as the case study. Land use/ cover maps were derived from Landsat-8 (OLI sensor) image processing and its spatial scale was downgraded to 30, 60, 120, 150, 200, 250, and 300 by cell-center method. After that, landscape-level metrics were quantified. Finally, linear regressions were formed for the every metric based on the logarithmic transformation and the Coefficient of Determination and Fractal Dimension were computed as well. The coefficient of determination for all measures of diversity was zero and for other measures in two general categories: high sensitivity (R- redundant) and without sensitivity (N- no effect). Results acquired from the two indicators were perfectly delineated the sensitivity of landscape metrics to the scale effect (Coefficient of Determination) as well as the direction and magnitude of the landscape metrics (Fractal dimension).

Full-Text [PDF 390 kb]   (2169 Downloads)    
Type of Study: Research | Subject: General

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

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.

© 2024 CC BY-NC 4.0 | Iranian Journal of Applied Ecology

Designed & Developed by : Yektaweb