ISSN: 2090-4541
+44 1300 500008
Rajen Bajgain
University of Oklahoma, USA
Posters & Accepted Abstracts: J Fundam Renewable Energy Appl
Many global climate models have predicted variability in rainfall events in various parts of the world. Extreme events like floods and droughts can harm vegetation biomass accumulation and reduce yields. Dealing with excess water stress would be challenging in Monsoon Asia where extreme precipitation coincided with the crop growing season while drought could become a serious threat in areas where decrease precipitation accompanied with increase temperature has been projected. Field experiments conducted in Japan showed that a 2-week period of excess water would reduce soybean yield (25-31%) by reducing biomass, attributed to reduction in less cumulative intercepted radiation and low radiation use efficiency, even if the water condition is maintained at a preferable level for the remaining time. Study on tall grass prairie using remote sensing data products at central Oklahoma USA, showed the summer drought of 2012 reduced grassland productivity almost by fifty percent. The flash drought (rapid onset) of about 1-2 weeks impacted the ecosystem productivity severely thereby causing the collapse of the ecosystem which had constrained recovery. Basically, both research studies summarize the role of light components in plant biomass productivity under two extremes of precipitation, anticipated outcomes of climate change. Therefore, it is very important to understand how the extremes of rainfall cause reduction in vegetation biomass so that the adaptation strategies could be formulated for the resilience ecosystem.
Email: rajen@ou.edu