Journal of Geographical Sciences ›› 2018, Vol. 28 ›› Issue (12): 1933-1952.doi: 10.1007/s11442-018-1572-z

• Research Articles • Previous Articles     Next Articles

Visualization and quantification of significant anthropogenic drivers influencing rangeland degradation trends using Landsat imagery and GIS spatial dependence models: A case study in Northeast Iran

Abdi OMID(), Shirvani ZEINAB, F. Buchroithner MANFRED   

  1. Institute for Cartography, Geosciences Department, TU Dresden, Germany
  • Received:2016-07-15 Accepted:2017-03-27 Online:2018-12-20 Published:2018-12-27
  • About author:

    Author: Omid Abdi (1981-), PhD Candidate, specialized in GIS, remote sensing and natural resources. E-mail: omid.abdi@mailbox.tu-dresden.de; oidabdi@gmail.com

Abstract:

Developing countries must consider the influence of anthropogenic dynamics on changes in rangeland habitats. This study explores happened degradation in 178 rangeland management plans for Northeast Iran in three main steps: (1) conducting a trend analysis of rangeland degradation and anthropogenic dynamics in 1986-2000 and 2000-2015, (2) visualizing the effects of anthropogenic drivers on rangeland degradation using bivariate local spatial autocorrelation (BiLISA), and (3) quantifying spatial dependence between anthropogenic driving forces and rangeland degradation using spatial regression approaches. The results show that 0.77% and 0.56% of rangelands are degraded annually during the first and second periods. The BiLISA results indicate that dry-farming, irrigated farming and construction areas were significant drivers in both periods and grazing intensity was a significant driver in the second period. The spatial lag (SL) model (wi=0.3943, Ei=1.4139) with two drivers of dry-farming and irrigated farming in the first period and the spatial error (SE) model (wi=0.4853, Ei=1.515) with livestock density, dry-farming and irrigated farming in the second period showed robust performance in quantifying the driving forces of rangeland degradation. To conclude, the BiLISA maps and spatial models indicate a serious intensification of the anthropogenic impacts of ongoing conditions on the rangelands of northeast Iran in the future.

Key words: rangeland degradation, Landsat, GIS, anthropogenic driving forces, BiLISA, spatial regression