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Climate Change Modelling, Planning & Policy for Agriculture By Anil Kumar Singh, Jagdish Ch&er Dagar, Ayyanadar Arunachalam
Climate Change Modelling, Planning & Policy for Agriculture By Anil Kumar Singh, Jagdish Ch&er Dagar...


Climate Change Modelling, Planning & Policy for Agriculture By Anil Kumar Singh, Jagdish Ch&er Dagar, Ayyanadar Arunachalam
2015 | 264 Pages | ISBN: 8132221567 | PDF | 7 MB



It is well known that the impacts of climate change are tangible & hence there can be no debate about the need for appropriate adaptation measures, on a priority basis. However, it is equally important to recognize the fact that adaptation measures actually represent a dynamic synthesis of interventions pertaining to multiple systems. These are particularly of water, soil characteristics, genotypic & phenotypic variations & their expressions, age-correlated biochemical changes aligned with planting schedules & favorable weather/climate conditions. Nutrients, occurrence & distribution of associated vegetation including crop mixes also influence productivity. The overarching aspect of farming practice wields significant influence on the outcome & hence it is important to be clear about the particular focus of the investigations being carried out & reported in a suitable manner. It is essential to recognize that scientific research in agriculture in India has always produced valuable results of direct relevance to her people. Importantly, preparedness to tackle disasters due to inclement weather system has prominently featured on the agenda. The recent focus on climate change & impacts has provided the necessary impetus to reorganize the framework of investigation to capture the specifics of such impacts. In this context, the importance of micro climate variations too viz-a-viz the larger scales of impacts cannot be overemphasized. It will be useful to also help characterize natural variations versus artificially induced variations, helping us underst& the complexities of individual & synergistic impacts too. Obviously, the limits & limitations of models could determine the spread & depth of the outcomes of investigations. Empirical evidences to reinforce assumptions have to also be documented with utmost care; guided by an underst&ing of the limits of tolerance, limiting factors, & the precautionary principle especially in the public policy interface. The present volume therefore, showcases these str&s with the fond hope that they will stimulate further thinking & enable appropriate action.
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