Hesel Pouri; Vahedberdi Sheikh; yeganeh hasan
Abstract
The present study has been carried out aiming at suitable site selection for rainwater harvesting across the northern rangelands of the Aq Qala district to supply drinking water for grazing livestocks using the effective criteria and multi-criteria decision support system. The rainwater harvesting suitability ...
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The present study has been carried out aiming at suitable site selection for rainwater harvesting across the northern rangelands of the Aq Qala district to supply drinking water for grazing livestocks using the effective criteria and multi-criteria decision support system. The rainwater harvesting suitability map was created by integrating the multi-criteria evaluation (MCE) technique and standardization (fuzzification) of continuous raster data within ArcGIS. To determine the suitable rainwater harvesting areas, the weighted linear combination (WLC) was applied in the range of 0 to 1 using the multi-criteri evaluation (MCE) within the ArcGIS and and the data of various criteria including distance to water source, distance to cattle post, stocking density, normalized difference vegetation index (NDVI), distance to road, slope percentage, distance to settlement and soil texture. The result indicated that about 2950 ha (~5.2%) of the study area have a good suitability for implementation of rainwater harvesting systems to supply water for grazing livestocks. The results of questionnaire survey revealed that about 70% of 107 stakeholders of the rangelands are highly willing to install and utilize rainwater harvesting systems, but high cost of installing is considered the main hinderance.
Mohammad Fayaz; Hossein Piry Sahragard; Hassan Yeganeh; Anvar Soor; Mirtaher Ghaemi
Abstract
Having a comprehensive and correct understanding of grazing behaviour of livestock helps to maximize livestock products. Moreover, a good understanding of livestock behavior allows us to predict the effects of livestock on rangeland and finally we can do livestock grazing management the best possible. ...
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Having a comprehensive and correct understanding of grazing behaviour of livestock helps to maximize livestock products. Moreover, a good understanding of livestock behavior allows us to predict the effects of livestock on rangeland and finally we can do livestock grazing management the best possible. Recognition of grazing behavior of animals can provide solutions enables the optimal use of rangeland forage and can also help in preventing the reduction of animal products and will prevent of Ranchers income loss. For this purpose cow grazing behaviour investigation was performed in Tezkharab rangelands for 4 years. Long distance path following day in the pasture, and livestock speed (maximum and minimum average) time for rest and time for the motion and applied grazing system were studied. To study for grazing cycle was used from the geographic position locator (Garmin GPS). Use the belt to the back of a cow's day package. At the end of the day, data was extracted in Elvis using in track mode. The results showed all traits in a significant level 1% Effect was significant difference in years and months (May, June, July, August, September and October) except average speed traits. This trait was significant at the 5% level. This study showed that environmental factors such as seasonal variations and therefore its temperature changes is one of the most important factors that influencing grazing behavior of livestock.
