Fazel Amiri
Volume 23, Issue 2 , September 2016, , Pages 395-383
Abstract
In order to determine the attractiveness of plants for apiculture, an area was selected in the summer rangelands of Freidan region. To identify the plants and determine the apicultural potential, sampling was conducted randomly along three transects of 200 m and 30 plots when 10-20% of dominant species ...
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In order to determine the attractiveness of plants for apiculture, an area was selected in the summer rangelands of Freidan region. To identify the plants and determine the apicultural potential, sampling was conducted randomly along three transects of 200 m and 30 plots when 10-20% of dominant species were in the flowering stage. The attractivity index (AI) of each plant was determined by direct observation of the films taken from the study area, and averaging the number of bees and the time each bee spent on the flowers. The attractivity index (AI) of plant species was determined using ordination method, classified in four classes as excellent, good, fair and poor. Our results showed that a high number of visitor bees and a high time spent on species were the common characteristics of the plants classified in the class I. In the study area, Compositae, Labiatae, Umbelifera, and Cruciferae were the most important plant families used by bees. Of the 88 species in the region, 70 species, forming the dominant vegetation cover of poor rangelands, are used by bees.
Fazel Amiri; Ebrahim Gavili
Volume 23, Issue 1 , June 2016, , Pages 58-69
Abstract
In this study, the nutritive value of several important range species was investigated in semiarid rangelands of central Zagros in 2010. Sampling was performed within the 2-square-meter plots by clipping method. The important forage quality indices; Nitrogen (N), Crude Protein (CP), Ash, Ether Extract ...
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In this study, the nutritive value of several important range species was investigated in semiarid rangelands of central Zagros in 2010. Sampling was performed within the 2-square-meter plots by clipping method. The important forage quality indices; Nitrogen (N), Crude Protein (CP), Ash, Ether Extract (Ee), Natural Detergent Fiber (NDF), Acid Detergent Fiber (ADF), Digestible Energy (DE), Dry Matter Digestibility (DMD), Metabolizable Energy (ME), Dry Matter Intake (DMI) and Relative Feed Value (RFV) were analyzed. Analysis of variance was used to analyze the data. The correlation between quality parameters was determined based on the relative quality index in MVSP, Mosaic, and PC-ORD software. There was a positive correlation between CP, DMD, DMI, and RFV for all species; however, a negative correlation was found between ADF, CP, and RFV. The results of the statistical analysis showed that forage quality of species (Leguminoseae and Gramineae) was significantly different (p < 0.05). Almost in all the grass species studied, the higher levels of ADF and NDF caused to reduce the forage quality of these species. In addition, based on the measured parameters, the highest and lowest forage quality were related to Cachrys acaulis (RFV=289.46) and Agropyron trichophorom(RFV=87.89), respectively.
Fazel Amiri; Hossein Arzani
Volume 20, Issue 1 , June 2013, , Pages 50-71
Abstract
Range inventory is the recognition and evaluation of potential and actual production in order to take optimal utilization of this valuable natural resource. In this research, range suitability model for common use was determined by FAO (1991) and GIS with consideration of factors that affect the range ...
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Range inventory is the recognition and evaluation of potential and actual production in order to take optimal utilization of this valuable natural resource. In this research, range suitability model for common use was determined by FAO (1991) and GIS with consideration of factors that affect the range suitability for grazing. Sampling was performed in vegetation types randomly through the establishment of three transects of 200 m. Cover percentage and production were measured in quadrates of 1m2. Three criteria of available forage, water resources and erosion sensitivity were integrated to classify range lands suitability for livestock grazing. According to the results, there was no class of S1, however 694.36 hectares (9.7%) of rangeland was classified as class S2 and 5439.35 hectares (75.9%) was classified as class S3 with high limitation. In addition, 1025.81 hectares (14.3%) was not suitable for common grazing (class N). Most important limiting factors in soil erosion models were types of land use and land cover. Generally, there was no serious problem in terms of water resources in the study area. Only, in some parts of the watershed high distances from watering point and slope caused reduction in grazing suitability. Among rangeland characteristics cover and production were most important limiting factors in the study area.
Fazel Amiri; Hosein Arzani
Volume 19, Issue 1 , June 2012, , Pages 159-177
Abstract
Rangeland evaluation is defined as identification and assessmnet of actual and potential production in order tohave a sustainable utilization ofthisvaluable resource. One of the important indirect applications in multiple use of rangelands is Apiculture. In this study, site priority for apiculture was ...
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Rangeland evaluation is defined as identification and assessmnet of actual and potential production in order tohave a sustainable utilization ofthisvaluable resource. One of the important indirect applications in multiple use of rangelands is Apiculture. In this study, site priority for apiculture was investigated in rangelands of Ghareh Aghach at Semirom in order to have a sustainable utilization of these rangelands. Suitability model for apiculture was formed from integration of three criterias of vegetation cover, environmental factors and water resources availability using FAO method (1991) and Geographic Information System. Afterward, priority of the vegetation types for apiculture was determined through AHP method. Samples were randomly collected along threetransects of two hundred meters longin each vegetation type. Presence and absence, cover percentage, diversity and vegetation composition of pollen and nectar plants were measured using 1m2 quadrates. To determine the priority of the factors, question sheets were used. The results of priority indicated that apiculture suitability of the vegetation types was different. According to the results, index weight of vegetation cover factor (0.687) was more than that of environmental factors(0.244) and water resource availability (0.069). As.ad-Ag.tr-Da.mu and Co.ba-As.sp vegetation types with a weight of 0.092 showed the highest priority in terms of apiculturalwhileAg.tr with a weight of 0.028 had the lowest priority among vegetation types. Generally, the results of apiculture model showed that 29% of land units (vegetation type) was classified as high suitable (S1), 59% with moderate suitability (S2), 6% with low suitability (S3) and 6% non suitable for apiculture. Considering the suitability and priority areas for apiculture is very important in improvement of range condition.