Assessing the potential of beekeeping and determination of attractiveness range plants used bee by using geographic information system in Char-Bagh summer rangelands, Golestan

Abstract:
The aim of this study is to assess the potential of beekeeping and determination of attractiveness range plants used bee by geographic information system (GIS) in 2015 in Char-Bagh summer rangeland, Golestan. Accordingly, the final model of beekeeping potential of combining the four main criteria of nectar and pollen composition of plants (20 points), distance from water sources (10 points), roads and access routes (10 points) and the average temperature during the course of beekeeping (10 points) was determined. After the vegetation type’s floristic-physiognomic method, sampling the vegetation types in the area delimitation random-systematic method to deploy 3 transects 300 m and 30 plots were made according to the type of vegetation. Water resources map as well as the road map was drawn using Global position system (GPS), field visit and geographic information system (GIS). Nectar and pollen 134 plant species from 80 genera and 31 plant families’ favorite bee detected. Family Asteraceae, Lamiaceae and Fabaceae, respectively, with 29 (21.8%), 23 (29.17%) and 19 (14.28%) species with the highest frequency nectar and pollen plants in the region. The results showed that plants attractive class II and III, the most appearances (60.9%) and class V least of (2.3%) in the region and with regard to regular visits on the field and during the flowering period May to August are the most plants in Char-Bagh summer rangelands. The results show that using the GIS module beekeeping potential of the pasture area 17.62% (1562.4 hectares) average potential in the floor (S2), 72.41% (6419.76 hectares) on the low potential (S3) and 9.96% (883.5 ha) in the class of potential (N) is located. According to the results area of about 90.03% (7982.17 hectares) has been potential the principles of apiculture, beekeeping can be attempted with the principles and also earn money by reducing grazing pasture helped to revive.
Language:
Persian
Published:
Journal of Rs and Gis for natural Resources, Volume:7 Issue: 3, 2016
Pages:
1 to 17
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