A satellite bioclimatology of Baluchistan in Southwestern Asia

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES MAUSAM Pub Date : 2023-12-31 DOI:10.54302/mausam.v75i1.3573
Peyman Mahmoudi, S. A. Shirazi, Seyed Mahdi Amir Jahanshahi, F. Firoozi, N. Mazhar
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Abstract

.The present study aimed at investigating the relationship between two variables of temperature and precipitation with vegetation dynamics in one of the arid and semi-arid regions of the world, i.e. Baluchistan in Southwestern Asia, which is shared by the three countries of Iran, Pakistan and Afghanistan. In order to achieve the objectives, two different databases were used: 1. MODIS NDVI 16-day composite products (MOD13A3) of Terra satellite, with 1*1 km spatial resolution, which was obtained for a 17-year period (2000-2016) from the Earth Observing System (EOS) Data Gateway of the National Aeronautics and Space Administration (NASA); 2. Gridded monthly temperature and precipitation data was obtained for the same 17-year period from the Climate Research Unit (CRU) of the University of East Anglia. The Pearson product-moment correlation coefficient was also used to examine the relationship between vegetation dynamics and two climate variables of temperature and precipitation simultaneously as well as in three time lags i.e.; one month, two months and three months. The results of the analysis of a correlation between the mean temperature and monthly NDVI in different time lags indicated that in the humid and semi-humid regions in the northern half of Baluchistan, NDVI simultaneously reacted to temperature variations, while in the arid and semi-arid regions in the southern half of Baluchistan, NDVI had a one-month time lag with temperature. However, the results of the analysis of a correlation between precipitation and monthly NDVI in different time lags indicated that NDVI simultaneously reacted to precipitation variations, that is precipitation of each month had the greatest effect on the NDVI of the same month.
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西南亚俾路支斯坦的卫星生物气候学
.本研究旨在调查世界上干旱和半干旱地区之一,即伊朗、巴基斯坦和阿富汗三国共有的西南亚俾路支斯坦地区的温度和降水量这两个变量与植被动态之间的关系。为了实现目标,使用了两个不同的数据库:1.从美国国家航空航天局(NASA)的地球观测系统(EOS)数据网关获得了 17 年(2000-2016 年)期间(1*1 公里)的 Terra 卫星 MODIS NDVI 16 天复合产品(MOD13A3);2. 从东英吉利大学气候研究室(CRU)获得了同样 17 年期间的网格化月度气温和降水数据。此外,还使用了皮尔逊积幂相关系数(Pearson product-moment correlation coefficient)来研究植被动态与气温和降水这两个气候变量之间的关系。平均气温与月净植被指数在不同滞后期之间的相关性分析结果表明,在俾路支斯坦北半部的湿润和半湿润地区,净植被指数同时对气温变化做出反应,而在俾路支斯坦南半部的干旱和半干旱地区,净植被指数与气温的时滞为一个月。然而,对不同滞后时间段的降水量与每月归一化差异植被指数之间相关性的分析结果表明,归一化差异植被指数同时对降水量变化做出反应,即每月降水量对同月归一化差异植被指数的影响最大。
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来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
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