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آشکارسازی تأثیر خشکسالی بر پویایی زمانی- مکانی جنگلهای بلوط زاگرس (نمونه موردی: جنگلهای بلوط لرستان) | ||
| تحقیقات حمایت و حفاظت جنگلها و مراتع ایران | ||
| مقاله 10، دوره 17، شماره 1 - شماره پیاپی 33، شهریور 1398، صفحه 107-123 اصل مقاله (1.75 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijfrpr.2019.119997 | ||
| نویسندگان | ||
| زهرا علیرضایی1؛ امیر گندمکار* 2؛ مرتضی خداقلی3؛ علیرضا عباسی4 | ||
| 1دانشجوی دکترای اقلیمشناسی، گروه جغرافیا، واحد نجفآباد، دانشگاه آزاد اسلامی، نجفآباد، ایران | ||
| 2نویسنده مسئول، استادیار، گروه جغرافیا، واحد نجف آباد، دانشگاه آزاد اسلامی، نجفآباد، ایران | ||
| 3دانشیار پژوهش، بخش تحقیقات مرتع، مؤسسه تحقیقات جنگلها و مراتع کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران | ||
| 4استادیار، گروه جغرافیا، واحد نجفآباد، دانشگاه آزاد اسلامی، نجف آباد، ایران | ||
| چکیده | ||
| پوشش جنگلی زاگرس یکی از مهمترین اجزای اکوسیستم زاگرس بوده که نقش مهمی در حفاظت آب و خاک این منطقه ایفا میکند. خشکسالی بهعنوان یکی از مخاطرات اقلیمشناختی، میتواند تأثیرات چشمگیری روی پوشش جنگلی داشته باشد. ازاینرو آشکارسازی پویایی مکانی جنگل در پاسخ به خشکسالی بسیار مهم است. هدف اساسی این تحقیق آشکارسازی پویایی مکانی پوشش جنگلی لرستان در پاسخ به تغییرات سالانه خشکسالی است. در این راستا مقادیر شاخص بارزشده پوشش گیاهی (EVI) از تصاویر لندست 5 و 8 برای دوره آماری 2000-2017 استخراج گردید. شاخص بارش استاندارد شده (SPI)، برای دوره آماری مذکور با استفاده از آمار بارش ماهانه 9 ایستگاه سینوپتیک منطقه محاسبه شد. با استفاده از تحلیل همبستگی مکانی ارتباط بین مساحت سالانه پوشش جنگلی و شاحص خشکسالی بررسی شد و در نهایت تابع حساسیت تغییرات مکانی پوشش جنگلی با برازش یک مدل خطی بهدست آمد. نتایج حاصل از نمونهبرداریهای میدانی نشان داد که آستانه EVI > 0.4 را میتوان بهعنوان آستانه پوشش جنگلی استان در نظر گرفت. تحلیل همبستگی بیانگر آن بود که سری زمانی 18 ساله پوشش جنگلی، 68/0 با شاخص SPI همبستگی داشته است که این میزان همبستگی در سطح اطمینان 95/0 معنیدار بوده است. نتایج حاصل از توسعه تابع حساسیت به تغییرات شاخص SPI بیانگر آن بود که پهنه پوشش جنگلی دارای آستانه سبزینگی تعیین شده، حساسیت قابل توجهی به خشکسالی دارد، بهنحویکه به ازای هر 1/0 واحد تغییر در شاخص SPI میزان مساحت پهنه پوشش جنگلی 14880 هکتار در همان جهت تغییر خواهد کرد. | ||
| کلیدواژهها | ||
| خشکسالی؛ پوشش جنگلی؛ جنگلهای بلوط؛ ماهواره لندست؛ استان لرستان | ||
| عنوان مقاله [English] | ||
| Spatiotemporal Dynamics of Oak Forest of Zagros in Responce to Drought Case Study: Oak Forest of Lorestan | ||
| نویسندگان [English] | ||
| Z. Alirezaee1؛ A. Gandomkar2؛ M. Khodagholi3؛ A. R. Abasi4 | ||
| چکیده [English] | ||
| The Zagros Woodland is one of the main components of Zagros ecosystem that has significant role in water and soil conservation. Drought, as one of the climatic hazards, can have dramatic effects on forest cover. Therefore, detecting the spatiotemporal dynamics of the forest in response to drought is very important. The main objective of this study was to detect the spatiotemporal relationship of forest cover of Lorestan province in response to annual drought. In this regard, the Enhanced Vegetation Index (EVI) values were extracted from Landsat 5 and 8 images for the period 2017-2017. The Standardized Precipitation Index (SPI) was calculated for the mentioned period using monthly rainfall statistics of 9 synoptic stations in the region. By using spatial correlation analysis, the relationship between annual forest area and drought index was investigated and finally, sensitivity function of spatial variation of forest cover was obtained by fitting a linear model. The results of field sampling showed that EVI threshold> 0.4 can be considered as the province's forest cover threshold. Correlation analysis between forest cover and drought indicated that the 18-year time series of forest cover had a significant correalation of 0.68 with SPI (0.95 confidence level). The results of development of sensitivity function to SPI index indicated that the forest cover had significant sensitivity to drought so that for each 0.1 unit change in the SPI index the forest cover area will change as 14880 ha in the same direction. | ||
| کلیدواژهها [English] | ||
| Drought, Forest Cover, Oak Forest, Landsat, Lorestan Province | ||
| مراجع | ||
|
-Alavipanah, S.K. 2014. Application of remote sensing in the earth sciences (soil). University of Tehran press, Tehran, 479p (In Persian). -Alimoradi, S., Khoorani A. and Esmaeilpoor, Y. 2017. Dynamics of vegetation in Karun Watershed within Khuzestan province in relation with temperature factors and precipitation. Journal of Applied Researches in Geographical, 17(44): 155-177 (In Persian). -Anyamba A. and Eastman, J.R. 1996. Interannual variability of NDVI over Africa and its relation to El Nino/Southern Oscillation. International Journal Remote Sens, 17(3): 2533–2548. -Davenport, M.L. and Nicholson, S.E. 1993. On the relation between rainfall and the Normalized DiVerence Vegetation Index for diverse vegetation types in East Africa. International Journal Remote Sens, 14(1): 2369–2389. -Denman, S., Barrett, G., Kirk, S.A., McDonald, J.E. and Coetzee, M.P.A. 2017. Identification of Armillaria species on declined oak in Britain: Implications for oak health. Forestry, 90(2): 148–161. -Deshtakian, K. and Dehghani, M.A. 2007. Land surface temperature analysis of desert area in relation with vegetation and urban development using RS and GIS, case study: Yazd-Ashkezar area. Pazhuhesh va Sazandegi, 77(7): 170-179. -Di, L., Rundquist, D.C. and Han, L. 1994. Modelling relationships between NDVI and precipitation during vegetation growth cycles. International Journal Remote Sens, 15(6): 2121–2136. -Ehsani, A., Arzani, H., Farahpoor, M., Ahmadi, H., Jafari, M., Jalili, A., Mirdavodi, H.R., Abbasi, H.R. and Azimi, M. 2006. The effect of climatic conditions on range forage production in steppe ranglands, Akhtarabad of Saveh. Iranian Journal of Range and Desert Research, 2(3): 249-260 (In Persian). -Farajzadeh, M., Fathnia, A., Alijani, B. and Zeaiean, P. 2011. Assessment of the Effect of Climatic Factors on the Growth of Dense Pastures of Iran, Using AVHRR Images. Physical Geography Research Quarterly, 75(1): 80 95 (In Persian). -Farajzadeh, M., Fathnia, A., Alijani, B. and Zeaiean, P. 2011. Assessment of climatic factors effect on vegetation in the Zagross region using satellite images. Iranian journal of Range and Desert Reseach, 18( 1): 107-123 (In Persian). -Farrokhzadeh, B., Mansouri, S. and Sepehr, A. 2017. Determining the correlation between NDVI and EVI vegetation indices and SPI drought index (Case Study: Golestan rangelands). Journal of Agricultural Meteorology, 5(2): 55-65 (In Persian). -Forests, Range and Watershed Management Organization of IRAN(FRWO), http://www.frw.org.ir. -Fu, X.F., Yang, S.T. and Liu, C.M. 2007. Changes of NDVI and their relations with principal climatic factors in the Yarlungzangbo River Basin. Geog Res, 26(1): 60-66. -Goward, S.N. and Prince, S.D. 1995. Transient effects of climate on vegetation dynamics satellite observations. Journal Biogeogr, 22(5): 549–563. -Guli, J., Shunlin, L., Qiuxiang, Yi. and Jinping, L. 2015. Vegetation dynamics and responses to recent climate change in Xinjiang using leaf area index as an indicator. Ecological Indicators, 58(2): 64-76. -Guo, H., Bao, A., Liu, T., Jiapaer, G., Ndayisaba, F., Jiang, L., Kurban, A. and De. Maeyer, P. 2018. Spatial and temporal characteristics of droughts in Central Asia during 1966–2015. Science of the Total Environment, 624(3): 1523-1538. -Hadian, F., Jafari, R., Bashari, H. and Soltani, S. 2014. Monitoring the effects of precipitation on vegetation cover changes using remote sensing techniques in 12 years period (case study: Semirom Isfahan). Journal of Range and Watershed Management. 66(4): 621-632 (In Persian). -Hosseini, A. 2009. Investigation the affection rate of oak trees to mistletoe, Loranthus europaeus, in forests of Zagross area (A case study of Southern slope of Manesht Mountain in Ilam Province). Forest and Range Protection Research, 7(1): 26-35 (In Persian). -Kabiri, K. 2000. The effect of drought on vegetation cover of iranm using NOAA imagery, KNU, M.Sc Desertation (In Persian). -Martinez, B. and Gilabert, MA. 2009. Vegetation dynamics from NDVI time series analysis 5 using the wavelet transform. Remote Sens Environment, 113(9):1823-1842. -Mckee, T.B., Doesken, N.J., Doesken, N.J. and Kleist, J. 1993. The relationship of drought frequency and duration to time scales. Eight Conference on Applied Climatology. Anaheim, CA, American Meteorological Society, 179-184. -Mckee, T.B., Doesken, N.J. and Kleist, J. 1995. Drought Monitoring with Multiple time scales. Nins Conference on Applied Climatology. Dallas, Tx, American Meteorological Society, 233-236. -Nasserzadeh, M.H. and Ahmadi, E. 2012. Investigation of meteorological drought indices performance in assessing and mapping of drought in Qazvin province. Journal of Applied research in Geographical Sciences, 12(2): 141-146 (In Persian). -Nicholson, S.E., Davenport, M.L. and Malo, A.R. 1990. A comparison of the vegetation response to precipitation in the Sahel and East Africa using normalized difference vegetation index from NOAA AVHRR. Climatic Change, 17(2): 209-241. -Nicholson, S.E. and Farra, T.J. 1994. The influence of soil type on the relationships between NDVI, precipitation, and soil moisture in semiarid Botswana. I. NDVI response to precipitation. Remote Sens Environment, 50(2): 107-120. -Potter, C.S. and Brooks, V. 1998. Global analysis of empirical relations between annual climate and seasonality of NDVI.Int. International Journal Remote Sens, 15(1): 2921-2948. -Sardari, M. 2000. Flora of chaharmahal and Bakhtyari. Final report study, agriculture and Natural resources researches complex of Shahrekord, Shahrekord (In Persian). -Schultz, P.A. and Halpert, M.S. 1995 Global analysis of the relationships among a vegetation index, precipitation, and land surface temperature. International Journal of Remote Sensing, 16(3): 2755- 2777. -Schultz, P.A. and Halpert, M.S. 1993. Global correlation of temperature, NDVI and precipitation. Advances in Space Research, 13(2): 277-280. -Shamsipour, A.A. 2007 Analysis of drought events for Kashan area with NOAA-AVHRR data. PhD. Thesis in Climatology. University of Tehran (In Persian). -Shifaw, E., Sha, J., Xiaomei, L., Zhongcong, B., Jianwan, J. and Bingchu, C. 2018. Spatiotemporal analysis of vegetation cover (1984–2017) and modelling of its change drivers, the case of Pingtan Island, China. Modeling Earth Systems and Environment, 4(1): 899–917. -Srivastava, S.K., Jayaraman, V., Nageswara, Rao P.P., Manikiam, B. and Chandrasekehar, G. 1997 Interlinkages of NOAA/AVHRR derived integrated NDVI to seasonal precipitation and transpiration in dryland tropics. International Journal of Remote Sens, 18: 2931–2952. -Taherzadeh, S.A. 2007. Drought analysis using remote sensing & GIS techniques on the Minab Basin, supervisor: Prviz zeaiean, Master of Art Remote Sensing & GIS. University of Tarbiat Modares, p. 173 (In Persian). -Tong, S., Zhang, J. and Bao, Y. 2017. Spatial and temporal variations of vegetation cover and the relationships with climate factors in inner Mongolia based on GIMMS NDVI3g data. Journal of Arid Land, 9(3): 394–407. -Ulivieri, C., Castronuovom, M., Francioni, R. and Cardillo, A. 1994. A split window algorithm for estimating land surface temperature from satellites. Advances in Space Research, 14(1): 59–65. -Wang, T., Luo, Y. and Zhong, M. 2017. Comparison of recent precipitation tendency between Northwest and North China. Journal of China Hydrology, 37(1): 56–63. -Wang, J., Rich, P.M. and Price, K.P. 2003. Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal of Remote Sens, 24(11): 2345-2364. -Worku, Z., Elmar, C. and Luis, I. 2017. Monitoring ecosystem dynamics in northwestern Ethiopia using NDVI and climate variables to assess long term trends in dryland vegetation variability. Applied Geography, 79(1): 167-17. -Xue, J. and Su, B. 2017. Signifiant remote sensing vegetation indices: a review of developments and applications. Journal of Sensors, 1: 1-17. | ||
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