DILDAR HUSSAIN KAZMI

Dr. DILDAR HUSSAIN KAZMI


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 May 2014 in Theoretical and Applied Climatology
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Journal Article
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DKDILDAR HUSSAIN KAZMI
DILDAR HUSSAIN KAZMI
JLJianping Li
Jianping Li
GRGhulam Rasul
Ghulam Rasul
JTJiang Tong
Jiang Tong
GAGohar Ali
Gohar Ali
TFThomas Fischer
Thomas Fischer

29 January 2022 in Sustainability
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Journal Article
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Muhammad Asgher AliMuhammad Asgher Ali
Muhammad Asgher Ali
MHMujtaba Hassan
Mujtaba Hassan
MMMazhar Mehmood
Mazhar Mehmood
DKDILDAR HUSSAIN KAZMI
DILDAR HUSSAIN KAZMI
Farrukh Ahmed ChishtieFarrukh Ahmed Chishtie
Farrukh Ahmed Chishtie
Iimran ShahidIimran Shahid
Iimran Shahid
The assessment of climate extremes’ impact on crop yield is essential to improve our understanding of agricultural resilience. In the present study, we analyzed the potential impact of climate extremes on wheat and cotton production in Southern Punjab, Pakistan using 30-year observed data from the Pakistan Meteorological Department (PMD) and the fifth-generation reanalysis data (ERA-5) from the European Center for Medium-Range Weather Forecasts (ECMWF). Cotton is a Kharif season crop that is sown in May and harvested in October, and wheat is a Rabi season crop that is planted in November and harvested in April. The agricultural data (1985–2015) that contained the crop area and crop yield were obtained from the Bureau of Statistics, Punjab for six selected districts in Southern Punjab. Three precipitation indices, namely consecutive dry days (CDD), consecutive wet days (CWD) and total precipitation of wet days (PRCPTOT), and four temperature indices, namely warm days (TX90p), warm nights (TN90p), cool days (TX10p) and cool nights (TN10p), were selected to analyze the potential impacts of climate extremes on crop production. (1) We found a potential association of TX10p, TN10p, TX90p and TN90p with crop yield in those years for which the production area remained the same. (2) In a few districts of the study area, the wheat yield losses in the Rabi season were associated with an increase in warmer days and warmer nights. (3) The grain size was suppressed due to an increase in the frequency of TX90p and TN90p, which ultimately reduced the net crop production. (4) In some districts, we found strong positive correlations between extreme temperature indices and crop yield; however, other potential factors such as the use of advanced technology, fertilizer, seeds, etc., may lead to improved net production. This study can help in adaptation planning for resilient agricultural production under the stress of climate extreme events in Southern Punjab.

1 February 2016 in Climate Dynamics
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DKDILDAR HUSSAIN KAZMI
DILDAR HUSSAIN KAZMI
JLJianping LI
Jianping LI
CRChengqing Ruan
Chengqing Ruan
SZSen Zhao
Sen Zhao
YLYanjie Li
Yanjie Li