Volume 14, Issue 1 (4-2020)
مرتع 2020, 14(1): 161-170 |
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Fakhimi E, Naderi H. Assessment of Rangelands under Different Grazing systems by Landscape function Analysis (Case Study Steppic Rangelands of Nodushan, Yazd Province, Iran. مرتع 2020; 14 (1) :161-170
URL: http://rangelandsrm.ir/article-1-874-en.html
URL: http://rangelandsrm.ir/article-1-874-en.html
Department of Range Management, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Nour
Abstract: (3541 Views)
The aim of this study was to evaluate the structure and performance of Steppe Rangelands of Nodushan under different levels of grazing pressure. Comparison of performance of different ecological patches was also focused using the landscape yield analysis method (LFA). Nine sites were selected at light, medium and intense grazing levels. Three transects of 50 m long were randomly located to the dominant slope in each site. On each transect, different types of ecological patches were identified and the length and width of space between them were measured and recorded. From each patch, 5 samples were randomly selected and 11 indicators of surface soil were determined according to the instructions of the performance method of scoring vision and surface soil yield criteria. Based on the results, most of the structural features (length and number of patches, surface area index and landscape structure index) and functional (permeability, stability and food cycle) there is a significant difference between light and high grazing levels. But there was no significant difference between the medium and other two levels of grazing. On the other hand, the performance of different ecological spots at different levels of grazing had a significant difference (P <0/05) and, the performance of the" bush- leafy-grassy broadleaf” in terms of performance in indices was significantly higher than the "grasses-grass".
Type of Study: Research |
Subject:
Special
Received: 2020/04/30 | Accepted: 2020/04/30 | Published: 2020/04/30
Received: 2020/04/30 | Accepted: 2020/04/30 | Published: 2020/04/30
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