Sivakumar / Hansen | Climate Prediction and Agriculture | Buch | 978-3-540-44649-1 | sack.de

Buch, Englisch, 306 Seiten, Format (B × H): 162 mm x 243 mm, Gewicht: 1440 g

Sivakumar / Hansen

Climate Prediction and Agriculture

Advances and Challenges

Buch, Englisch, 306 Seiten, Format (B × H): 162 mm x 243 mm, Gewicht: 1440 g

ISBN: 978-3-540-44649-1
Verlag: Springer-Verlag GmbH


Improved adaptation of food production, particularly in areas where climate variability is large, holds the key to improving food security for human populations. Increasing climate knowledge and improved prediction capabilities facilitate the development of relevant climate information and prediction products for applications in agriculture to reduce the negative impacts due to climate variations and to enhance planning activities based on the developing capacity of climate science. This book, based on an International Workshop held in Geneva in 2005, reviews the advances made so far in seasonal climate predictions and their applications for management and decision-making in agriculture and 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 the developing countries.
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Zielgruppe


Research

Weitere Infos & Material


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.


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