Monitoring of vegetation change is essential to detect good management practices for the sustainable
use of natural rangeland resources. An understanding of how the existing species in vegetation react to
management methods is important for decision makers. For this reason, the vegetation changes should
be determined by suitable techniques. The multivariate analysis as Detrended Correspondence Analysis
and Principal Components Analysis was highly examined and its results were easily interpreted to draw
conclusions. A relatively homogenous data set first, a matrix of 221 species and 44 sample sites in the
province of Yozgat in the Central Anatolia Region in year 2010, was used by detrended correspondence
analysis (DCA). The effects of environmental variation was minimized by this method (DCA) so that the
major pattern of vegetation composition change was explained by grazing impact. Principal components
analysis was performed to detect the distribution of sites along the first axis, and the distance off the
x-axis. Fifteen species out of the promising 89 plant species were found to be indicators. These indicator
species should be benefited for the vegetation change status and sustainable rangeland management
under semiarid rangeland conditions. The fifteen plant species and bare ground showed clear responses
along the first axis (grazing impact gradient), and became abundant over certain ranges of this axis.
Journal Section | Articles |
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Authors | |
Publication Date | December 29, 2017 |
Published in Issue | Year 2017 Volume: 26 Issue: 2 |