Climate prediction and agriculture : advances and challenges
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Bibliographic Information
Climate prediction and agriculture : advances and challenges
Springer, c2007
Available at / 6 libraries
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University Library for Agricultural and Life Sciences, The University of Tokyo図
613.1:Si95010634474
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On t.p.: World Meteorological Organization, Global Change System for Analysis, Research and Training, The International Research Institute for Climate and Society
This volume brings together papers presented at the "International Workshop on Climate Prediction and Agriculture--Advances and Challenges" held May 11-13, 2005 at WMO in Geneva, Switzerland, and at the "Synthesis Workshop of the Advanced Institute on Climatic Variability and Food Security", held May 9-10, 2005 at WMO in Geneva
Includes bibliographical references and index
Description and Table of Contents
Description
Based on an International Workshop held in Geneva in 2005, this book reviews the advances made so far in seasonal climate predictions and their applications for management and decision-making in agriculture. It also identifies the challenges to be addressed in the next 5 to 10 years to further enhance operational applications of climate predictions in agriculture, especially in developing countries.
Table of Contents
Climate Prediction and Agriculture: Summary and the Way Forward.- Climate Downscaling: Assessment of the Added Values Using Regional Climate Models.- Development of a Combined Crop and Climate Forecasting System for Seasonal to Decadal Predictions.- Delivering Climate Forecast Products to Farmers: Ex Post Assessment of Impacts of Climate Information on Corn Production Systems in Isabela, Philippines.- Seasonal Predictions and Monitoring for Sahel Region.- Institutionalizing Climate Forecast Applications for Agriculture.- Climate Applications and Agriculture: CGIAR Efforts, Capacities and Partner Opportunities.- Institutional Capacity Building in Developing Countries through Regional Climate Outlook Forums (RCOFs) Process.- Use of ENSO-Driven Climatic Information for Optimum Irrigation under Drought Conditions: Preliminary Assessment Based on Model Results for the Maipo River Basin, Chile.- Towards the Development of a Spatial Decision Support System (SDSS) for the Application of Climate Forecasts in Uruguayan Rice Production Sector.- Assessing the Use of Seasonal Climate Forecasts to Support Farmers in the Andean Highlands.- Application of Seasonal Climate Forecasts for Sustainable Agricultural Production in Telangana Subdivision of Andhra Pradesh, India.- Localized Climate Forecasting System: Seasonal Climate and Weather Prediction for Farm-Level Decision-Making.- Use of Sea Surface Temperature for Predicting Optimum Planting Window for Potato at Pengalengan, West Java, Indonesia.- Climate Forecast for Better Water Management in Agriculture: A Case Study for Southern India.- Linking Corn Production, Climate Information and Farm-Level Decision-Making: A Case Study in Isabela, Philippines.- Use of ENSO-Based Seasonal Rainfall Forecasting for Informed Cropping Decisions by Farmers in the SAT India.- Application of Climate Prediction for Rice Production in the Mekong River Delta (Vietnam).- Climate Prediction and Agriculture: What Is Different about Sudano-Sahelian West Africa?.- Can ENSO Help in Agricultural Decision-Making in Ghana?.- Application of Seasonal Climate Forecasts to Predict Regional Scale Crop Yields in South Africa.- Climate Information for Food Security: Responding to User's Climate Information Needs.- Improving Applications in Agriculture of ENSO-Based Seasonal Rainfall Forecasts Considering Atlantic Ocean Surface Temperatures.- AGRIDEMA: An EU-Funded Effort to Promote the Use of Climate and Crop Simulation Models in Agricultural Decision-Making.- Web-Based System to True-Forecast Disease Epidemics - Case Study for Fusarium Head Blight of Wheat.- Climate-Based Agricultural Risk Management Tools for Florida, Georgia and Alabama, USA.- Climate Prediction and Agriculture: Lessons Learned and Future Challenges from an Agricultural Development Perspective.- Conclusions and Recommendations.
by "Nielsen BookData"
