Effect of Geographical aspect's on Functional Potential and soil surface indicators in Summer Rangelands (Case Study: Chhar-Bagh Summer Rangeland, Golestan province)

Document Type : Research Paper

Authors

1 Assistant Professor, Faculty of Agriculture, University of Birjand, Birjand, Iran

2 Department of Range and Watershed Management, Faculty of Agriculture, Fasa University, Fasa, Iran

3 Professor, Faculty of Range Management, organ University of Agricultural Sciences and Natural Resources, Gorgan, Iran

Abstract

Given the importance of having data on vegetation and soil in different geographical aspect, the aim of this study is the assessment the geographical aspect's impact on Functional Potential and soil surface indicators in Chhar-Bagh Summer Rangeland, Golestan province. For the study used the method Landscape Function Analysis (LFA) and main Geographical aspect. For this purpose, in the four main geographical aspect, three transects 100,m were established and along the transects type, length and width patches and interpatches were measured. To calculate the Functional Potential (Soil Stability, Infiltration and Nutrient Cycling and and Vegetation Organization Index). To investigate the functional significance potential of SAS Software and ANOVA, for mean potential functional classification of Duncan Test used. To investigate the soil surface along each transect, 5 plots and 11 indicators way quality and using the scoring tables and to check the normality of the data, the Kolmogorov-Smirnov test was used. To investigate the significance Kruskal-Wallis nonparametric test and classification of soil surface indicators grouped Duncan test was used. The results showed a significant difference between the functional potential in different geographical aspects (P> 0.05), So that the highest percentage of functional potential to the north and lowest in the East was estimated. Vegetation organization index for geographical aspects North, South, East and west were respectively 0.53, 0.43, 0.38 and 0.51. The results showed that except cryptogam cover and Micro-topography indexes, all indicators were significant in different geographical aspects (P> 0.05).

Keywords


Volume 71, Issue 4
March 2019
Pages 1111-1121
  • Receive Date: 05 August 2018
  • Revise Date: 26 February 2019
  • Accept Date: 25 February 2019
  • First Publish Date: 25 February 2019