پیش‌بینی اثر تغییر اقلیم بر تناسب اراضی کشت کلزا (Brassica napus L.) در استان مازندران با استفاده از مدل‌های ریز مقیاس نماییSDSM و Lars-WG

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه زراعت، دانشکده تولید گیاهی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران.

2 گروه اگروتکنولوژی، دانشکده کشاورزی، دانشگاه فردوسی مشهد،مشهد، ایران

چکیده

تغییرات اقلیمی در سال­های اخیر به‌دلیل افزایش هرچه بیشتر گازهای گلخانه­ای بیشتر از گذشته مشهود است. بنابراین، پیش­بینی بلندمدت متغیرهای اقلیمی جهت اطلاع از میزان تغییرات آن‌ها و در نظر گرفتن تمهیدات لازم به‌منظور تعدیل اثرات سوء ناشی از تغییرات اقلیمی بیش از قبل مورد توجه است. راهکار پیش­بینی تغییرات اقلیمی در مقیاس محلی استفاده از مدل­های ریز مقیاس نمایی است. مدل­هایی چون SDSM و Lars-WG مثال­هایی از این ریز مقیاس نماها می­باشند که در این مطالعه به آن پرداخته شده است. از آنجا که تغییر اقلیم شرایط کشت گیاه کلزا (Brassica napus L.) که یکی از گیاهان راهبردی و ارزشمند در ایران است را نیز دستخوش تغییر خواهد کرد، بنابراین انجام پژوهشی جهت مدیریت هرچه بهتر تولید این محصول در شرایط تغییر اقلیم، ضروری به نظر می­رسد. در این تحقیق، با استفاده از مدل­های پیش‏بینی دما و بارش و بهره­گیری از ابزارهایی چون سامانه اطلاعات جغرافیایی (GIS) و فرایند تجزیه و تحلیل سلسله مراتبی  (AHP)به پهنه­بندی زراعی گیاه کلزا بر اساس شرایط پیش­بینی شده برای سال 2050 میلادی در استان مازندران پرداخته شده است. در این تحقیق از داده­های 37 ایستگاه­ هواشناسی و سینوپتیک استفاده شد و به تولید داده‌های اقلیمی (دماهای اصلی و بارش) در سه سناریوی RCP (2.6, 4.5, 8.5) پرداخته شد. مقایسه مدل­های پیش­بینی تغییر اقلیم نشان داد که مدل SDSM در پیش‏بینی دماهای اصلی موفق­تر بوده است، امّا برای پیش­بینی میزان بارش مدلLars-WG  عملکرد بهتری داشت. خروجی نقشه تناسب اراضی نشان داد که تغییر متغیرهای اقلیمی در آینده موجب تغییر در تناسب اراضی زراعی خواهد شد. همچنین با اجرای سناریوی تغییر اقلیم، پراکندگی مکانی و مساحت طبقات مختلف کمی دچار تغییر شد، به‏گونه­ای که با اجرای سناریوی RCP 2.6 مساحت اراضی طبقه خیلی مناسب افزایش یافته و گسترش آن به‌سمت مرکز استان بوده است. در سناریو‌های RCP 8.5 و RCP 4.5 اراضی با طبقه تناسب خیلی مناسب وجود نخواهد داشت و به‌سمت طبقات با تناسب ضعیف سوق داده خواهند شد. به‌طور کلی، در سناریوی خوش­بینانه تناسب اراضی برای کشت کلزا شرایط بهتر و پهنه وسیع­تری خواهد یافت و در سناریوهای دیگر شرایط برای کشت کلزا در اراضی مازندران نسبت به زمان حال ضعیف‌تر خواهد شد و این کاهش کیفیت در اراضی غربی و جنوبی استان مشهودتر است. بنابراین، راهکارهایی چون استفاده از ارقام سازگارتر و تغییر در مدیریت زراعی در رویارویی با شرایط جدید در این مناطق باید مورد توجه قرار گیرد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Predicting the Effect of Climate Change on the Suitability of Canola (Brassica napus L.) Cultivation Land using SDSM and Lars-WG Models in Mazandaran Province

نویسندگان [English]

  • Mohsen Abshenas 1
  • Behnam Kamkar 2
  • Afshin Soltani 1
  • Hossein Kazemi 1
1 Department of Agriculture, Faculty of Plant Production, Gorgan University of Agriculture and Natural Resources, Iran
2 Deptment of Agrotechnology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده [English]

Introduction
In recent years, the heightened concentration of greenhouse gases has brought increased attention to the pressing issue of climate change. Therefore, monitoring climatic variables to prevent the adverse effects of climate change is more important than ever. In the pursuit of long-term climatic forecasting and the assessment of their evolving patterns, various international scientific societies have concentrated their efforts on understanding the extent of climate change and devising measures to counter its adverse effects. The development of general circulation models of the atmosphere (GCM) has been a significant stride in this direction. However, GCMs may lack precision in predicting minor changes at a local scale. To address this limitation, the utilization of downscaling models such as SDSM and Lars_WG (that were used here) becomes imperative. These models serve as essential tools for simulating the viability of cultivating agricultural species in the future, especially when considering localized impacts. Because climate change will probably change the conditions for growing canola, as one of the strategic and prominent crops in Iran, studying the effects of this worldwide event on the canola-grown fields in the future is needed.
 
Materials and Methods
In this research, using temperature and precipitation forecasting models along with GIS functions and hierarchical analysis process (AHP), canola suitability classes for 2050 were determined in Mazandaran Province. For this, 37 meteorological and synoptic stations were involved, and climatic data (including temperatures and precipitation) were generated under three RCP scenarios (2.6, 4.5, 8.5). In this study, we utilized two general circulation models (Can-ESM2 and HadGEM2-ES) that had been recommended for application in the study area.
 
Results and Discussion
A comparison of the involved models showed that the SDSM model was superior in predicting temperature, while the Lars-WG model performed better in predicting precipitation. The results for the land suitability revealed that the changes in climatic variables in the future would lead to changing the suitability of agricultural lands for growing canola. The examination of temperature change maps in the investigated region revealed that both minimum and maximum temperature variables are poised to rise under climate change scenarios, with a more pronounced increase anticipated in maximum temperatures. The findings indicate that the projected temperature increase in the future will establish more conducive conditions for canola cultivation. Additionally, precipitation patterns exhibit an increase in both RCP 2.6 and 4 scenarios, with a more substantial rise in the RCP 2.6 scenario. Conversely, the RCP 8.5 scenario predicts a decline in precipitation levels. Top of Form
Also, considering the climate change scenarios, the spatial distribution and the area of each suitability class changed slightly, so the high-suitable class will extend under RCP2.6, especially toward the center parts of the study area. Under RCP 8.5 and RCP 4.5 scenarios, not only suitable lands were not considerable, but also the less suitable land extended to the southern and western parts of the study area.
 
Conclusion
The output of the land suitability maps showed that climate change would change the suitability of the studied agricultural lands in the future. Also, with the implementation of the climate change scenarios, the area and geographical distribution of detected classes will change. In general, in the optimistic scenario, the lands will be more appropriate for canola cultivation and will cover a wider area. In other scenarios, the conditions for canola cultivation in the lands of Mazandaran will be more unsuitable compared to the present, and the decrease in the level of suitability will be more evident in the western and southern lands of the province. Therefore, solutions such as the use of more compatible cultivars and changes in agricultural management in facing new conditions in these areas should be considered. The outcomes of these studies offer practical insights for shaping regional planting strategies, aiding decisions on crop inclusion or exclusion, and informing the overall design of agricultural patterns in the area

کلیدواژه‌ها [English]

  • Geographic information system (GIS)
  • Precipitation
  • Temperature
  • Zoning

©2023 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source.

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