Your search found 2 records
1 Rai, H. K.; Sharma, A.; Sindhu, J.; Das, D. K.; Kalra, N.. 2003. Pedo-transfer functions for assessing soil moisture and nitrogen availability in the Indian soils. SAARC Journal of Agriculture, 1(1):127-140.
(Location: IWMI-HQ Call no: P 6795 Record No: H034361)
2 Hussain, M.Z.; Kalra, N.; Chander, S.; Sehgal, M.; Kumar, P. R.; Sharma, A. 2005. Impact of climate change and its variability on agriculture. SAARC Journal of Agriculture, 3:129-149.
Climate change ; Agricultural production ; Soil fertility ; Soil moisture ; Crop yield ; Insecta ; Pests ; Food production ; Food security ; Land use ; Social aspects ; Economic aspects ; Greenhouse gases ; Emission ; Carbon dioxide / India
(Location: IWMI HQ Call no: e-copy only Record No: H045907)
(0.92 MB)
Global climate is changing and it can have serious implicationsfor our food security through its direct and indirect effects on crops, soils, livestock, .fisheries, and pests. At the same time, this is an issue with several socio-economic-policy-political implications. In the developing countries including india, there has been relativezv less attention paid to this topic in an integrated mannel: Uncertainties and error association with the climate change models. impacts on soil and crop productivity by using crop growth models need to be minimized. The impact on agriculture has heen worked out through soil .fertility. soil moisture availahility, soil biological health, growth and yield of various crops, insects and pests of crops. The interaction among various climatic parameters, mainly temperature, rainfall, radiation and carbon dioxide concentration has been evaluated through growth and yield oj' crops by using simulation models. Vulnerable regions and options to adapt agricultural production under changing climate have been identified. General Circulation lv/odels .for climate change scenarios give quite contrasting results, with poor resolution on temporal and spatial scales. so the uncertainties in climate change scenes remains. Non-availability of suitable socio-economic scenarios for contrasting agro-ecologies adds to the chance q{ error propagation. Extrapolation of the point results ofthe impacts to a larger scale may bring in more errors, ifthe spatial and temporal variability in the socio-economic and biophysical aspects are not included. The ejfixtiveness of this kind of study is possible only ifinter-disciplinary team ofresearchers work together on a common mission ofclimate change related studies.
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