Implications of climate change on long-lead forecasting and global agriculture

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dc.contributor Motha, Raymond P
dc.date.accessioned 2012-03-08T00:40:55Z
dc.date.available 2012-03-08T00:40:55Z
dc.date.issued 2007
dc.identifier.uri http://livestocklibrary.com.au/handle/1234/31638
dc.description.abstract Variations in crop yields and agricultural productivity are strongly influenced by fluctuations in seasonal weather conditions during the growing season. The El Ni�o/Southern Oscillation (ENSO) cycle, and other similar ocean/atmosphere teleconnections in the North Pacific and North Atlantic, contribute to extreme weather events and climatic variability. As seasonal forecasting skills improve with greater knowledge of these teleconnections and improved Global Circulation Models (GCMs), farmers and agricultural planners will be able to make better use of long-lead forecasts for strategic decisions in agriculture. Issues related to climate variability and climate change pose significant risks to agriculture as the frequency of natural disasters tends to increase worldwide.
dc.publisher CSIRO
dc.source.uri http://www.publish.csiro.au/?act=view_file&file_id=AR06104.pdf
dc.subject natural disasters
dc.subject drought
dc.subject inter-annual prediction
dc.subject climate scenarios
dc.subject adaptation strategies
dc.subject climate risk management
dc.title Implications of climate change on long-lead forecasting and global agriculture
dc.type Research
dc.description.version Journal article
dc.identifier.volume 58
dc.identifier.page 939-944
dc.identifier.issue 10


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