Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Saleem, Farhan, Arshad, Arfan, Mirchi, Ali, Khaliq, Tasneem, Zeng, Xiaodong, Rahman, Md Masudur, Dilawar, Adil, Pham, Quoc Bao, and Mahmood, Kashif, 2022. Observed Changes in Crop Yield Associated with Droughts Propagation via Natural and Human-Disturbed Agro-Ecological Zones of Pakistan. Remote Sensing, 14(9):2152, doi:10.3390/rs14092152.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2022RemS...14.2152S,
author = {{Saleem}, Farhan and {Arshad}, Arfan and {Mirchi}, Ali and {Khaliq}, Tasneem and {Zeng}, Xiaodong and {Rahman}, Md Masudur and {Dilawar}, Adil and {Pham}, Quoc Bao and {Mahmood}, Kashif},
title = "{Observed Changes in Crop Yield Associated with Droughts Propagation via Natural and Human-Disturbed Agro-Ecological Zones of Pakistan}",
journal = {Remote Sensing},
keywords = {spatiotemporal droughts, termination, GRACE, crop yield sensitivity, atmospheric circulation, Pakistan},
year = 2022,
month = apr,
volume = {14},
number = {9},
eid = {2152},
pages = {2152},
abstract = "{Pakistan's agriculture and food production account for 27\% of its
overall gross domestic product (GDP). Despite ongoing advances
in technology and crop varieties, an imbalance between water
availability and demand, combined with robust shifts in drought
propagation has negatively affected the agro-ecosystem and
environmental conditions. In this study, we examined hydro-
meteorological drought propagation and its associated impacts on
crop yield across natural and human-disturbed agro-ecological
zones (AEZs) in Pakistan. Multisource datasets (i.e., ground
observations, reanalysis, and satellites) were used to
characterize the most extensive, intense drought episodes from
1981 to 2018 based on the standardized precipitation evaporation
index (SPEI), standardized streamflow index (SSFI), standardized
surface water storage index (SSWSI), and standardized
groundwater storage index (SGWI). The most common and intense
drought episodes characterized by SPEI, SSFI, SSWSI, and SGWI
were observed in years 1981-1983, 2000-2003, 2005, and 2018.
SPEI yielded the maximum number of drought months (90) followed
by SSFI (85), SSWSI (75), and SGWI (35). Droughts were
frequently longer and had a slower termination rate in the
human-disturbed AEZs (e.g., North Irrigated Plain and South
Irrigated Plain) compared to natural zones (e.g., Wet Mountains
and Northern Dry Mountains). The historical droughts are likely
caused by the anomalous large-scale patterns of geopotential
height, near-surface air temperature, total precipitation, and
prevailing soil moisture conditions. The negative values (<-2)
of standardized drought severity index (DSI) observed during the
drought episodes (1988, 2000, and 2002) indicated a decline in
vegetation growth and yield of major crops such as sugarcane,
maize, wheat, cotton, and rice. A large number of low-yield
years (SYRI {\ensuremath{\leq}} -1.5) were recorded for
sugarcane and maize (10 years), followed by rice (9 years),
wheat (8 years), and cotton (6 years). Maximum crop yield
reductions relative to the historic mean (1981-2017) were
recorded in 1983 (38\% for cotton), 1985 (51\% for maize), 1999
(15\% for wheat), 2000 (29\% for cotton), 2001 (37\% for rice),
2002 (21\% for rice), and 2004 (32\% for maize). The percentage
yield losses associated with shifts in SSFI and SSWSI were
greater than those in SPEI, likely due to longer drought
termination duration and a slower termination rate in the human-
disturbed AEZs. The study's findings will assist policymakers to
adopt sustainable agricultural and water management practices,
and make climate change adaptation plans to mitigate drought
impacts in the study region.}",
doi = {10.3390/rs14092152},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022RemS...14.2152S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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