تحلیل فضایی مخاطرات محیطی

تحلیل فضایی مخاطرات محیطی

تاثیر پارامترهای اقلیمی بر توزیع پوشش گیاهی در ایران مرکزی

نویسندگان
1 دانشگاه تبریز
2 دانشگاه آزاد اسلامی
3 دانشگاه سبزوار حکیم
چکیده
هدف از انجام این پژوهش بررسی تاثیر پارامترهای اقلیمی بر توزیع پوشش گیاهی در ایران مرکزی با استفاده از شاخص NDVI می­باشد. برای شناخت پراکنش و توزیع پوشش گیاهی از روش­های نوین ناحیه­بندی PCA، خوشه­بندی و روابط مکانی استفاده شد. بدین منظور دو متغیر اقلیمی (میانگین دما و رطوبت نسبی) از داده های هشت ایستگاه سینوپتیک در بازه زمانی آماری (1986-2018) انتخاب گردید. متناسب با فاصله­های ایستگاه­ها و تغییرات مکانی شاخص NDVI، شبکه­ای به ابعاد 15*15 کیلومتر بر روی ایران مرکزی گسترانده شد. در این بررسی برای اطلاع از روند تغییرات شاخص NDVI از آزمون من-کندال به وسیله نرم افزار (MINITAB) استفاده شد. نتایج این بررسی نشان داد که میزان پراکنش پوشش گیاهی در ایران مرکزی با استفاده از شاخص NDVI بین 2/0- تا 64/0+ است. همچنین توزیع و تراکم پوشش گیاهی دارای رشد کمتر از یک‌ درصد می­باشد. نتایج این بررسی نشان می دهد متغیر اقلیمی دما بیشترین تأثیر را بر توزیع و تراکم پوشش گیاهی در ایران مرکزی دارد. بررسی توزیع و تراکم پوشش گیاهی ایران مرکزی با استفاده از روش PCA نشان داد که توزیع و تراکم پوشش گیاهی ایران مرکزی متاثر از هشت عامل است که عامل اول و دوم به تنهایی 56/81 درصد رفتار پوشش گیاهی را در ایران مرکزی تبیین می­نمایند. درنهایت با انجام تحلیل خوشه­ای سلسله مراتبی و با روش ادغام وارد بر روی ماتریس نمرات عامل­ها، سه ناحیه توزیع و پراکنش پوشش گیاهی نامنظم، متوسط و یکنواخت در ایران مرکزی شناسایی و نمایش داده شدند.
کلیدواژه‌ها

عنوان مقاله English

The effect of climatic parameters on plant distribution in central Iran

نویسندگان English

Ali Mohammad Khorshid Doust 1
Ali Panahi 2
Farahnaz Khorramabadi 1
Hossein Imanipour 3
1 University of Tabriz
2 Islamic Azad University,
3 Sabzevar Hakim University
چکیده English

The effect of climatic parameters on vegetation distribution in central Iran

Introduction

Climate or climate reflects the daily weather conditions in a particular place for a long time. Most climatic elements are closely related to ecological factors, which is why the analysis of the relationship between climate and plant distribution patterns has been discussed in scientific and research circles for many years. And in recent years, scientists have been using a combination of climatic characteristics with other environmental factors to describe vegetation around the world. Climate change and atmosphere condition will change the content and composition of many plant communities.



The Study Area

The geographic coordinates of the studied area are between latitudes 29°32’ to 33°59’ and 51°27’ to 55°5’. The position of the selected provinces of central Iran compared to the neighboring provinces are shown in Figure 1 The annual data of 8 stations have been analyzed during the stations period determined by the National Meteorological Organization. The stations characteristics including latitude, longitude, elevation and specific statistical period are shown in Table 3.



Data and research methods

In this study, the role of temperature changes and relative humidity on vegetation in Central Iran has been investigated using statistical models of analysis of the main components and hierarchical clustering. This research is applied and its method is slightly analytical. In order to investigate the climatic fluctuations of the center of Iran with respect to urban green space, statistical data related to average temperature and relative humidity during the 32-year period (1986 to 2018) selected central stations of Iran to come and statistical deficiencies such as Data loss was performed by reconstructing differential equations using SPSS software. The criterion for selecting stations is the availability of long-term statistics. Using statistical methods and Geographic Information System (GIS), vegetation classification was performed for Central Iran. ArcGIS, Minitab, SPSS and EXCEL software are used in this research. After identifying the stations, climatic variables including temperature and relative humidity were selected from the data of 8 meteorological stations and were analyzed using the techniques mentioned above. Then, using statistical regression analysis, the impact (topography, average temperature and average relative humidity) on how to distribute and distribute vegetation was investigated. Kendall-man non parametric test was used to investigate changes in the vegetation index trend.



Results and discussion

Analysis of temporal changes in climatic parameters and NDVI index

The results show that the distribution of relative humidity in Abadeh and Kerman stations has decreased by 3% and the temperature distribution in these stations has increased by more than one percent. Relative humidity changes in Kashan and Sirjan stations have a weak decreasing trend, while the relative humidity distribution in Isfahan station has decreased by about 2%.The temperature distribution of Shiraz and Yazd stations increased by 3%, Abadeh station increased by 2% and also Isfahan and Kerman stations increased by 1%. The distribution of vegetation in Yazd and Khor Biyabank stations has decreased by one percent, while the growth of vegetation in Isfahan, Abadeh and Sirjan stations is increasing by less than one percent.



Distribution of NDVI vegetation index in Central Iran using cluster analysis

The stations are located in three distinct areas in terms of distribution of vegetation, each group having the same climatic characteristics in the distribution of similar vegetation. Based on this, three climatic zones in the study area can be identified.



Conclusion

The aim of this study was to investigate the effect of climatic parameters (average temperature and relative humidity) on the distribution of vegetation in Central Iran using comparison of statistical models; by examining the distribution and density of vegetation, eight factors were identified. Among the factors, the first and second factors, with 81.57% of the total vegetation variance, have played the most important role in determining the climatic diversity of Central Iran. In total, these eight factors have justified about 100% of the vegetation behavior in the area Also, according to the analysis of images of Modis satellite measuring satellites from the vegetation situation in the last 5 years, Central Iran, the value of NDVI index in Central Iran varies between 0.2 to 0.64, the northwestern parts of Fars province have the highest vegetation density and The central parts of Isfahan, especially Yazd, lack vegetation. Based on the results, altitude has a direct and significant relationship with temperature distribution in plants, especially in the study area. However, the height of Iran's central regions has affected the distribution of vegetation.



Keywords: climatic parameters, vegetation distribution, central Iran


کلیدواژه‌ها English

Central Iran
Climate Change
temperature
NDVI Vegetation Index
12. Allison, E.W. (1989).Monitoring drought affected vegetation with AVHRR Digest International Geoscience and Remote Sensing Symposium, 4:1965-1967
13. Amina1,B., Khaled, M. Djamel, A. (2019),Thermal Disturbances and their Impact on Vegetation Productivity in Natural Reserve of Beni Salah (North East of Algeria) from 1986 to 2015, Journal of Environmental Biosciences ,2019, 8, 1:81-91
14. Arizona", Geo Journal. Springer Netherlands, Volume 22,120-131 component analysis (GPCA), In IEEE Conference on Computer Vision and Pattern Recognition, Volume I, pp. 621–628..
15. Gan, T., (1998), Hydro climatic trend and possible climatic warming in the Canadian prairies, Water Resource Research, 34 (11): 3009-3015.
16. Hirsch; Robert M, James R; Slack, (1984), A nonparametric trend test for seasonal data with serial dependence. Water Resources Research, 727-732.
17. Kassa, A.(1990). Drought risk monitoring for Sudan using NDVI, 1982-1993. A Dissertation submitted to the University College London
18. Kogan, F.N.(1993).United States droughts of late 1980's as seen by NOAA polar orbiting satellites. International Geoscience and Remote Sensing Symposium, 1:197-199
19. Lamchin ,M., Kyun Lee, W., Jeon, S., Wangyel Wang, S., Lim, C., Song, C., Sung, M., (2019),Corrigendum to “Mann-Kendall Monotonic Trend Test and Correlation Analysis using Spatio-temporal Dataset: the case of Asia using vegetation greenness and climate factors., J. of MethodsX 6 (2019) 1379–1383
20. Mbatha , N and Xulu, S., (2018)., Time Series Analysis of MODIS-Derived NDVI for the HluhluweiMfolozi Park, South Africa: Impact of Recent Intense Drought., peer-reviewed journal, pp1-21
21. Nasanbat, E., Sharav ,S., Sanjaa,T., Lkhamjav, O., Magsar, E., Tuvdendorj B., (2018) , FREQUENCY ANALYSIS OF MODIS NDVI TIME SERIES FOR DETERMINING HOTSPOT OF LAND DEGRADATION IN MONGOLIA, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences., XLII-3, :PP1299-1304
22. Zandi1,R., Entezari2, A., Khosravian ,M.,(2018), The Evaluation of Spatial Variations of Vegetation and Surface Temperature by Using Remote Sensing (Case Study: Fars Province,( (2017-1967)), Journal of Hydrosciences and Environment 2(4): PP 10-18