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Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative…mehr

Produktbeschreibung
Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative response of GHGs in the region. Using recently published reanalysis dataset viz. Agriculture Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the present study has made use of Probability Density Functions (PDFs) to evaluate changes in mean, standard deviation, skewness and kurtosis of the two basic climate variables (temperature and precipitation) on seasonal basis.
Autorenporträt
Burhan Ahmad has worked in downscaling of climate change scenarios over South Asia and Pakistan, scientific contribution in local and international projects, authoring technical reports/research articles for publishing in peer reviewed journals, data analysis of climate and weather attributes for impacts and diagnostic studies.