پديد آورندگان :
بني عقيل، افروغ سادات , راحمي كاريزكي، علي دانشگاه گنبد كاووس - دانشكده كشاورزي و منابع طبيعي - گروه توليدات گياهي , بياباني، عباس دانشگاه گنبد كاووس - دانشكده كشاورزي و منابع طبيعي - گروه توليدات گياهي , فرامرزي، حسن دانشگاه تربيت مدرس نور - دانشكده منايع طبيعي - گروه جنگلداري
كليدواژه :
متغيرهاي اقليمي , سيستم اطلاعات جغرافيايي , روش فازي , تركيب خطي وزني
چكيده فارسي :
در كشاورزي، پيدا كردن مكان بهينه براي محصولات كشاورزي مي تواند مزاياي اقتصادي را افزايش و پيامد هاي منفي زيست محيطي را كاهش مي دهد. به منظور ارزيابي اقليمي اراضي كشاورزي استان گلستان براي كشت گندم ((Triticum aestivum L.، از سامانه اطلاعات جغرافيايي (GIS) و روش خطي وزني (WLC) استفاده شد. بدين منظور ابتدا نياز هاي زراعي و متغير هاي محيطي تعيين، درجه بندي و مطابق با آن ها نقشه هاي موردنياز تهيه گرديد. متغيرهاي اقليمي مورد مطالعه شامل: حداكثر دما، حداقل دما، دماي متوسط و بارندگي در مرحله كاشت و در طي دوره رشد بودند. در اين پژوهش از آمارهاي 10 سال اخير پارامتر هاي اقليمي 25 ايستگاه هواشناسي استان گلستان استفاده گرديد. براي استانداردسازي داده ها از روش فازي و براي وزن دهي به معيارها از روش تحليل سلسله مراتبي (AHP) استفاده شده است. در نهايت، با استفاده از روش تركيب خطي وزني (WLC) در محيط نرم افزار IDRISI، نقشه پتانسيل كشت گندم ديم تهيه گرديد. نتايج نشان داد كه در وزن دهي معيارها با روش تحليل سلسله مراتبي، مقدار بارندگي در دوره رشد با 0/3407 درصد بيشترين و حداقل دماي دوره سبز شدن با 0/0306 درصد كمترين ضريب ها را كسب كردند. در نقشه برونداد حاصل از روش تركيبي خطي وزني ازلحاظ عوامل اقليمي نشان داد كه بيش از 55 درصد اراضي جهت كشت گندم در پهنه بسيار مستعد و مستعد قرار دارند كه اين اراضي بيشتر در شمال شرقي و مركز استان واقع شده اند كه مي توان علت آن را مقدار بارش كافي و دماي مناسب بيان نمود. علاوه بر اين، عامل محدود كننده كشت گندم از لحاظ اقليمي در استان گلستان را مي توان مقدار بارش در طول فصل رشد را ذكر نمود.
چكيده لاتين :
Introduction
Crop selection based on land capabilities has been used in several studies to assess the suitability of land for
specific crops in order to determine the optimal cropping system. Maize, rice, wheat, barley, cotton, soybean and
canola are the major crops found in the agricultural production systems of Golestan province, Iran. Soybean
(Glycine max L.; Fabaceae) is grown world-wide as an important staple and commercial crop. Kamkar et al.,
(2014) on assessment review of land suitability for cultivation of rapeseed and soybean in four basins over
Golestan province, using GIS reported that only 11.82% of the total lands very suitable to rotate soybean after
canola, used raster layers for them study were included climatic (precipitation, temperature), topographic
(aspects and slope) and soil-related (texture, pH, EC). The Geographical Information System (GIS) offers a
flexible and powerful tool as it can combine large volumes of different kinds of data into new datasets and
display these new datasets in the form of informative and accessible thematic maps. The aim of this study was to
perform land suitability assessments for wheat cultivation Golestan province, and to investigate the possibility of
wheat cultivation. In this way, we used GIS and a comprehensive data set on wheat crop ecological
requirements, agro climatological, topographic and soil data.
Material and Methods
Geographical Location of the Region
The province of Golestan with an area of 21,500 square kilometers, is in the southeast of the Caspian Sea.
This area extends from 36_440 N to 38_50 N and from 51_530 E to 56_140 E. In general, Golestan has a
moderate and humid climate known as "the moderate Caspian climate. arid and semiarid areas has occupied
more than 35% of Golestan province. The study area of the research, include agricultural lands and rangelands of
Golestan province is present. Using 1: 50,000 maps of the national cartographic center of Iran, we created a 20 m
digital elevation model (DEM) with a topo-to-raster function.
Method of study
In this study, the first agro-ecological requirements and of wheat were determined based on scientific
resources. Studied climatic variables were included average, minimum and maximum temperatures, precipitation
in the date planting and during growth season of crop. Data of the last 10 years were collected and recorded from
25 stations located within the study area. The standardization of data was used from fuzzy method and Analytic
Hierarchy Process (AHP) was used for weighting the criteria. Finally, using weighted linear combination (WLC)
in the software IDRISI, wheat cultivation potential map was prepared.
Results and Discussion
The results showed that the weighted criteria of AHP, the amount of precipitation during the growing season
had the highest amount with 0.3407 and minimum temperature in the emergence stage with 0.0306 had the
lowest coefficient in the rankings. The digital environmental layers overlaid and integration in GIS media then
zoning of lands carried out in 4 classes (high suitable, suitable, less suitable and unsuitable). The results showed
that 9.54% and 54.53% of this area were high suitable and suitable for wheat cropping, respectively.
Conclusion
In the output map from weighted linear combination, the located lands in East, Southeastern, South and
Southwest had the lowest potential production for wheat. These areas were consisted of steep slopes, highest
elevation, less precipitation and less favorable area in terms of areas which had unfavorable climate areas and
other areas that located in the Northeastern, center and Northwest of the province had the best potential for wheat
production which can be said cause of sufficient amount precipitation, low slope and elevation, favorable soil
and temperature