To determine the possible effects of climatic parameters on sugarbeet seed yield, the correlation between seed yield and different meteorological parameters during 1955-2002 was determined and the parameters which had significant correlation with seed yield were fitted by multivariate models. To scrutinize the effective climatic FACTORS, the growth period of sugarbeet seed-bearing plants (from early-April to late-July) was divided into fifteen-day intervals during plantingbolting, bolting-blooming, blooming-full bloom, full bloom-maturity and total growth period. Then, simple correlation coefficients of each period with seed yield were estimated and finally multiple regression model was fitted. The results showed that the seed yield significantly correlated with mean temperature during the first half of May (-0.591*) and first half of July (-0.584*), mean sunny hours during the first half of May (-0.544*) and first half of June (-0.550*), total precipitation during the second half of April (0.565*) and first half of June (0.624**) and total received growing degree days (GDDs) during the first half of May (-0.505*) and first half of July (-0.584*). On the other hand, sugarbeet seed yield had significant correlation with total precipitation (0.574*) during the planting-bolting period, sunny hours (-0.511*) during the bolting-blooming period and precipitation (0.526*) during the growth period.

This research aims at studying and understanding the full capabilities of West Azerbaijan province for sunflower cultivation. Geographic information system (GIS) was used to carry out the research. Climate data elements such as the minimum temperature during the growing season (May to September), the rainfall during the growing period, the relative humidity during growth of sunflower, were prepared in 9 stations in the region between the years (1387-1373). Slope, soil and elevation data were included to determine and identify the appropriate area of study in the range of sunflower cultivation.Using vegetative needs (favorable climatic conditions) of the crop, the production of information and data rate of each series were classified. In order to investigate the influence of each element in the earth's climate and physical FACTORS affecting agro-climatic planting of sunflower, the data on temperature, precipitation and relative humidity were combined and then all data elements in the earth's climate and physical FACTORS together were then integrated. The final map of the land capability for planting of sunflower was produced. Finally, the AHP models, and overlapped data in both weighted area of Zone 2, were used. Sunflower planting area in the north east and eastern parts of the study area (the city of Khoy, Qara Zyaaldyn, Poldasht and Shoot) was specified. The areas suitable for cultivation in both models were chosen to be the city of Qara Zyaaldyn and Poldasht.

AGROCLIMATIC indices are based on climatic FACTORS effective on crop growth and development. Under climate change, these indices are also changed, therefore the pattern of these changes could be associated with crop growth and yield. The purpose of the present investigation was to calculate AGROCLIMATIC indices under climate change and compare the changes with the indices of the present climatic conditions and hence prediction changes on crop productivity that may occur. For this purpose 14 hey variables were disaggregated to 55 new variables which were indictors of AGROCLIMATIC seasonal changes. These indices were calculated for the present and the year 2025 and 2050. Results showed that the first occurrence of autumn freezing day will be delayed by 5-9 to 8-15 days for 2025 and 2050, respectively and the magnitude of these changes will be higher from the North to South and from West to East of the country. However, occurrence of last spring freezing day will be earlier by 4-8 and 7-12 days for these target years. However, again the spatial trend will increase from the West to the East and from the North to the South. Based on these two events, length of growth period will increase by 5-23 to 16-42 days for years 2025 and 2050, respectively.

Climatic FACTORS are the most important variables among effective FACTORS in agricultural production, which cost us too much to control. The main objective of this study is to investigate climatic FACTORS in determining suitable locations for new orchards (case study Walnut). According to Walnut compatibility patterns, non-suitable areas were removed and suitable areas were selected. This method is called step by step elimination and the advantages of this method are reducing the cost and time. In this study incompatibility of each parameter results in the destruction of the plant and barrenness of the region, so at first step, According to F.A.O classification elevation and slope were determined, as the two main FACTORS, and digital data of them were analyzed, hereby non-potential areas were removed. Then, all the other effective FACTORS like climate, chilling requirements, wind speed, and relative humidity were studied in the suitable and selected areas. Finally, according to land use map, suitable locations were suggested, and furthermore precipitation factor was evaluated in suitable location to determine irrigation needs too. The result showed that, the area about 630094.2 hectares of Tehran province can be planted by Walnut, which is shown in the final map. Due to high economic value of this product in agricultural export, it is recommended that Walnut orchards development should be considered in 4th program.

AGROCLIMATIC indices could be affected by climate change and evaluation of these indices under different climate scenarios provides a framework for further impact studies. Principal component analysis (PCA) and cluster analysis are proper methods for regional analysis of AGROCLIMATIC data and classification of climatic regions based on their similarities. Using 55 AGROCLIMATIC variables similarity of 36 meteorological stations around the country were studied under the present and future (2025 and 2050 as target years) climatic conditions. Results of PCA showed that 5 principal components including 1) temperature data, 2) precipitation data and winter minimum temperature, 3) winter maximum temperature, 4) winter precipitation and maximum temperature of spring, summer and autumn and 5) growth degree days during spring and winter and summer precipitation accounts for 97% of total observed variance. Results of cluster analysis showed that under the current climate, the studied stations were grouped in 10 clusters. However, number of clusters was reduced to 8 and 7 for the years 2025 and 2050, respectively. Based on the results it was concluded that under future climatic conditions AGROCLIMATIC diversity of Iran will be reduced considerably.

Introduction Pea plants are grown in hot and arid and semi arid weather conditions in cold areas in spring and autumn in the tropics. Iran is the fourth largest producer of peas in the world after India, Turkey and Pakistan. Despite the high-yielding cultivars development, weather is one of the most important determinants of the plant's performance. In this study, with the use of meteorological data, physiographic regions favorable for the cultivation of pea in Ardabil are identified. Materials and Methods Collecting of data in this study is as follows. 1-Collecting climatic elements such as temperature and precipitation in the Province Ardabil during the period 1988 to 2013. 2-The preparation of topographic map with a scale of 1: 50, 000 of the Armed Forces Geographical Organization. 3-Preparation maps of slope, elevation 4-Preparing soil maps and land use 5-Preparation of physiographic and climatic zonation map of pea cultivation of combining all data using AHP. Results and Discussion In this study, each of the data after a review of the valuation methods were studied in GIS environment and the combination of the following options, criteria and sub-criteria, the final map was prepared. Precipitation play an important role in maintaining moisture and water requirement of pea. In this study, the amount of precipitation was used in the weather stations in April, May, June and July. Temperature is one of the decisive FACTORS in the geography of plants and garden areas. Climatic FACTORS such as: the distribution of the amount of rainfall during the growing of peas, average minimum temperature, germination, flowering temperature, temperature and relative humidity during their growth and climate elements by analyzing the data was about 37 percent very suitable, 21 percent suitable, 20 percent average and 22 percent was unsuitable for the cultivation of peas. Physiographic data played a significant role and is a limiting factor during the growing season of pea. The results of physiographic maps show that about 55 percent very suitable, 25 percent fair and 20 percent is unsuitable for cultivation of pea. The aim of this study was to investigate the role of physiographic and climatic elements in the cultivation of pea, each of them prepared in different forms and was weighted, and results of zoning pea cultivation in this Province are as follows. 1. The areas are very suitable for cultivation of peas, plain and south of the cities of Ardabil is Meshkinshahr that is consistent with agricultural areas and there are no limitations for pea and constitute about 18 percent of Ardabil Province. 2. The regions in terms of Pea has the perfect conditions surrounding cities of Khalkhal and Sareyn, Kowsar and central areas of the city, Nir, northeast and constitute Meshkinshahr cities. A major constraint in the areas of water requirements and minimum temperature that is about 45 percent of the total area of the province. 3-Areas that slope, soil depth, elevation, temperature fluctuations are considered a major factor in limiting Pea-are the northern and southern areas and around the city Meshkinshahr form and about 27 percent of the total area of the province. 4-The areas of the Ardabil province due to the mountainous area, cold air and a lack of proper soil horizon with severe limitation is facing the possibility of planting about 12 percent of the Province Ardabil. Conclusion In addition to the fact that peas are cultivated as human and animal food, the cultivation of this plant should be included in the crop pattern due to the contribution of soil fertility as one of the components of sustainable agricultural systems. The final results show that: 1-Among the main criteria, 0. 603 climate, topography, 0. 245, 0. 114 soil and land use 0. 038 higher priority on locating the pea are grown. 2-The results show consistency index criteria, all criteria are used with consistency index less than 0. 1.

Introduction In many parts of the world, there is not enough precise information about suitable land for cultivation. Understanding climate and the required parameters during the growth period of crops is the most important factor in the zoning Agroclimate. In Iran, lentils with acreage of 240 thousand hectares and the production of 166 thousand tons per year after the peas in second place is important. Agro-ecological zoning is one of the land evaluating method that can be used to find better lands and improve the planning and management of land resources. The purpose of this research, zoning AGROCLIMATIC Ardabil Province for the cultivation of lentils, In order to identify the characteristics of land resources for the planning and organize and optimal land, Assessing of land suitability, in any of the zone by using AHP is AGROCLIMATIC. Material and Methods Ardabil Province is in northwestern Iran, with an area of 17953 square kilometers, 1. 09 percent of the country's total area. The present study was conducted across Ardabil Province which is located in 37° 25' and 39° 42' N latitude and between 47° 03' and 48° 55' E longitude. Data used in this research; climatic FACTORS such as rainfall, temperature, relative humidity, sunshine duration and degree-days during the growing season are the data of 37 synoptic and meteorological and data physiographic such as elevation, slope, aspect, soil and land use map of the study area were collected from relevant organizations. By performing the necessary calculations using SPSS and EXCEL software, the database was frormed in GIS environment. Then for each of the parameters in the GIS environment with generalized point data, linear and polygon surrounding surfaces (Interpolation) were performed, as the data layers and maps. Each of the layers of the study, based on favorable climatic requirements lentils were categorized based on AHP. Results and Discussion: According to the purpose of this study, the role of the main criteria such as Climate, Soil, Physiography and land use criteria selected under Options AHP were calculated and then using the weighted important factor, weight and final weight of all criteria were determined. Lentil planting zoning based on climatic FACTORS: Data of climatic elements during the growing season lentils have an influential role. The sudden change of climate data is effective on crop yield. In this study, the rate of climate data based on hierarchical, weight coefficient was determined as follows: Temperature 0. 382, precipitation 0. 250, humidity 0. 160, sunshine hours 0. 101, evaporation 0. 064 and wind 0. 043. By overlaying maps of climatic elements, about 20. 42 percent with a very suitable, 37. 75 percent was suitable, 24. 47 percent average and 17. 34 percent of conditions are unsuitable for cultivation of lentils. Zoning planting lentils, based on physiographic FACTORS: For evaluation the cultivation of lentils, map each datas, elevation, slope and aspect were prepared in GIS environment. Based on the favorable climatic lentils product to physiographic FACTORS, weighting layers were based on AHP. Therefore, the height by a factor of 0. 614, slope 0. 268 and slope were determined 0. 117. By combining maps of physiographic province, 22. 68 percent has a very suitable, 21. 11 percent sutitable, 17. 33 percent average and 38. 86 percent conditions are unsuitable for cultivation of lentils. Zoning lentil cultivation, on the basis of physiographic and climatic elements: By combining all the maps of climatic and physiographic FACTORS that were prepared based on hierarchical method weighting coefficient, the final zoning map Agroclimate lentil cultivation in this province was prepared. Based on the final map, in Ardebil province about 17% very suitable, 32% was suitable, 27% moderately and 24% had poor conditions for the cultivation of lentils. Conclusion This study aimed to Agroclimate land zoning for planning agriculture in the province of Ardabil. Based on the favorable climate condition for lentil crop, land evaluation of each data was done for production of lentils. So the the main criteria including; climate 0. 565 factor, physiographic by a factor of 0. 262, soil 0. 188 and land the highest weight by a factor of 0. 055 respectively has an effective role in the lentils, as well as minimum temperature during the growing season and maximum temperatures and low rainfall (during seed germination and flowering) altitude and the high slope is the limiting factor for the cultivation of lentils in the province.

One of the primitive principals for agricultural planning is the determining of the agricultural units. These units are polygons that integrate ground and climatic FACTORS. Each of these units has different charateristics. In this study, Hamedan province, ground FACTORS such as topograph;y; slope gradient, land types, soil deep and structure and climatic FACTORS such as annual rainfall, annual temperature and evapotranspiration is considered. In First, using GIS function all of used data are weighted based on dry wheat potential. Then all of data layers in GIS database is combined into final layers using overlay function. The final map indicates the potential of different areas to dry wheat agriculture. To test of accuracy, the final map is compared with wheat productivity data in the study area. Result of this work indicates that the produced map has high accuracYand GIS is powerful techniques to producing of homogenous AGROCLIMATIC units.

Space requirements in tourist destinations assess based on various models. A Factor is one of these models. Attraction, how to access, Activity, accommodations and amenities are most important and Effective FACTORS On tourism development in all areas. Persian Gulf islands can provide sustainable tourism development because of their cluster and collection trait. This study, investigated affecting FACTORS on Persian Gulf islands tourist activities, based on A FACTORS analyze. This model, analyze the value of tourism destinations, based on five key FACTORS Mentioned above. The research method in this paper is analytic, with emphasis on the evaluation of resources and authors expertise. To this end, we analyzed the successful experiences of islands tourism planning in the world. Then studied five-component FACTORS of this model in Persian Gulf islands. Ultimately we designed a model to provide sustainable tourism development process.