Literature DB >> 32319066

Assessing the climate change impacts and adaptation strategies for rice production in Punjab, Pakistan.

Ghulam Shabbir1, Tasneem Khaliq2, Ashfaq Ahmad2, Muhammad Saqib3.   

Abstract

Climate change is a serious threat to agriculture and food security. The development of adaptation measures is one of the key strategies to offset the climate change impacts on rice crop. A study was planned to develop adaptation strategies for future rice crop through simulation model. This study was consisted of six transplanting dates and three seedling densities which were tested to develop adaptations at three locations, i.e., Faisalabad, Hafizabad, and Gujranwala during the years 2015 and 2016. Climate change scenarios were developed for selected locations through statistical downscaling by selecting five general circulation models under representative concentration pathways (RCPs 8.5) for mid-century (2039-2069). The APSIM-ORYZA model was calibrated well with experimental data which showed an error of 2.35% between observed and simulated grain yield. The impact of climate change was studied by calculating the difference of baseline (1980-2010) and future yield. Model simulated results indicated that the rise in temperature will reduce the rice yield by 7.3%. To overcome this decrease in rice yield, suitable adaptation strategies were tested for mid-century. The developed adaptations, i.e., increased in plant population, nitrogen amount, and early transplanting, improved the rice yield by 8.7% under RCPs 8.5 for mid-century scenarios. Overall, this study provide better understanding of the adaptation processes for sustainable rice yield under anticipated future climate change.

Entities:  

Keywords:  APSIM-ORYZA; Adaptations; Climate change; Climate impacts

Mesh:

Year:  2020        PMID: 32319066     DOI: 10.1007/s11356-020-08846-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Identification of climate induced optimal rice yield and vulnerable districts rankings of the Punjab, Pakistan.

Authors:  Azhar Ali Janjua; Muhammad Aslam; Naheed Sultana; Zia Batool
Journal:  Sci Rep       Date:  2021-12-03       Impact factor: 4.379

  1 in total

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