Jalil Farzadmehr; Yaser Ghasemi Aryan; Reza Yari
Volume 29, Issue 2 , July 2022, , Pages 156-165
Abstract
This study aimed to investigate the effect of restoration projects on soil surface indicators and performance characteristics in Taherabad rangelands of Ferdows. The Landscape Function Analysis method was used to determine soil surface properties and yield potentials. In this regard, in the representative ...
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This study aimed to investigate the effect of restoration projects on soil surface indicators and performance characteristics in Taherabad rangelands of Ferdows. The Landscape Function Analysis method was used to determine soil surface properties and yield potentials. In this regard, in the representative area of each treatment, three transects (each for 100-meter) were settled at specified distances along the main slope. Along each transect the length and width of plant spots and the length of the inter-spot distance were measured. Excel and LFA (Landscape Function Analysis) instructions were used to calculate the performance potentials. To examine the significance of the performance potentials, SAS software was used in this study. According to the results, there is a significant difference between the treatments. The highest percentage of stability was estimated in the arc basin + exclusion and the lowest was in the treatment of the control area; also, soil infiltration of different restorative treatments, significant differences, and the highest and lowest percentages of soil infiltration was estimated in the arc basin + exclusion and control projects, respectively. The results showed no significant difference in the Nutrient Cycling Index and soil mineral elements in different rangeland restoration projects. Landscape Organization Index for arc basin + exclusion, planting + exclusion, exclusion and control were estimated to be 0.33, 0.22, 0.18 and 0.14, respectively. The Kruskal–Wallis test showed a significant difference (at a 5% level) between the soil surface indicators at different rangeland restoration projects. It is concluded that there are significant differences among soil surface indicators, collar and canopy, litter, soil surface fragility, erosion type and intensity, eroded materials, nature of soil surface and wetting test at 5%, and texture at 1% in different restoration treatments. Different treatments have caused differences in these indicators. Also, there is no significant difference between cryptogam and microtopography indicators. In general, arc basin +exclusion construction in arid and semi-arid regions is a useful restoration activity and increases soil stability and infiltration.
Hosein Bashari; Amrali Shahmoradi
Volume 11, Issue 3 , August 2019, , Pages 287-308
Somayeh Dehdari; Masoomeh Movaghari Rodposhti; Zohreh Khorsandi Koohanestani; Ali Ehsani
Volume 25, Issue 1 , April 2018, , Pages 227-234
Abstract
The reduced biomass in forests and rangelands ecosystems for any reason can affect the process of carbon sequestration and as a result of global warming. This study was conducted to assess carbon storage under different grazing intensities in rangeland of Chah Mary dominated with Artemisia ...
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The reduced biomass in forests and rangelands ecosystems for any reason can affect the process of carbon sequestration and as a result of global warming. This study was conducted to assess carbon storage under different grazing intensities in rangeland of Chah Mary dominated with Artemisia siberi in Khuzestan province. Three sites under heavy, moderate and low grazing intensities were selected based on similar topographic features (slope, aspect and elevation), rainfall, soil and climate. Plant sampling was done in key areas by random-systematic method along three transects of 100m and 60 plots of 1m2. Then, aerial and underground biomass parameters were evaluated in each plot and carbon was determined by ash method. The data were analyzed by SPSS v.16 software. According to the results, carbon sequestration decreased from 5704/3 in the low-grazing region to 3470/1 in the high-grazing region. Also, under low-grazing intensity, the carbon stored in aerial biomass and underground biomass was 4360/9 and 2180/5, respectively.