Managing Weather And Climate Risks In Agriculture

Based on an International Workshop held in New Delhi, India, this work should be of interest to all organizations and agencies interested in improved risk management in agriculture. In many parts of the world, weather and climate are one of the biggest production risks and uncertainty factors impacting on agricultural systems performance and management. Both structural and non-structural measures can be used to reduce the impacts of the variability (including extremes) of climate resources on crop production.

Weather and climate risk is a very broad and complex subject. One of our biggest challenges is to recognise the complexity of climate science and at the same time, implement practical ways of adapting and managing the impact of weather and climate on a farm business. This book explains daily and seasonal weather events; discusses the drivers of weather and climate and the longer term scientific models that measure and monitor our variable climate; and describes how to manage the risks that weather and climate present to your farm business. How to use this information to guide on-farm decision-making is the point of this book. It covers three key principles: 1. All farming systems involve change and adaption. 2. Variability in weather or climate brings unpredictability, uncertainty, and even disasters. These introduce risk into our farming systems. 3. Managing this risk is a planning process. There are tools and techniques that can keep risk in perspective, as a motivator rather than a stressor. Managing climate risk on your farm is based on the work of two previous publications from Tocal College; Weather and climate in farming, managing risks for profit (2000) Bayley, D and NBN Weather Book (2006) Bayley, D and Brouwer, D. Also used extensively in this book, A Farmer’s Guide to Managing Climate Risk, 8th edition 2008 by Michael Cashen, Advisory Officer Climatology. Recognition is given to the authors above for their important and significant contribution to this publication.

In farming systems across Canada, effective risk management is necessary to deal with drought, flooding, and extreme weather, and to adapt to altered climate and weather conditions. Unfortunately, climate change risks and opportunities are not always well understood among researchers and policy makers in the Canadian agri-food sector. This book addresses that gap by providing a wide-ranging synopsis of what climate change means for Canadian agriculture, exploring different approaches to the topic, and presenting examples of current research. It covers all agricultural regions and a wide variety of commodity production and farming systems. This comprehensive survey synthesizes twenty years of research on climate change and Canadian agriculture.

Sustainable agricultural production is vital for food security and agricultural productivity. It is greatly influenced by weather and climate conditions. This book focuses on understanding weather and climate systems and crop yield productions, including integrated weather-crop prediction systems for climate risk management in agriculture. It examines the impact of climate change and its variability on different crops, and possible ways to minimize the loss for farmers. This book also describes different weather and climate hazards, including the fundamentals of weather/climate prediction systems and numerical weather prediction (NWP) models. It presents the need for seamless weather/climate predictions and their impact on agriculture. The status and availability of different monthly and seasonal scale forecasts worldwide is explored and how the forecasting models or products can be evaluated using statistical methods. The book concisely elucidates systematic model bias removal techniques and a reliable approach based on multi-statistics in producing a single forecast from the multi-model grand ensemble. Since crop models need daily weather sequence, several standard disaggregation methods for generating daily weather sequences from monthly/seasonal products are presented. This book describes several aspects that are needed for agricultural practices and crop modelling. It encapsulates different components of crop models and their application, preparation methods of Crop Weather Calendar, application of disaggregated weather sequence in crop models, and generation of Climate Risk Matrices (CRM). A detailed methodology is presented for hands-on practice, including downloading and processing data, model evaluation and bias corrections, generating a single forecast, disaggregation, and preparing CRM based on crop model products. This book contains a total 11 chapters and appeals to students, researchers, scientists, and operational agencies.

This work provides a preliminary analysis of the key climate risks affecting agrifood value chains and opportunities for climate services that reach stakeholders involved in all stages of the value chain, from agrifood production to harvest, storage and refrigeration, processing and packaging, transportation, markets, trade and consumption. Climate services provide opportunities to effectively and comprehensively mainstream climate risk management across the entire agrifood value chain, in addition to increasing sustainability and efficiency in the face of changing climate conditions. This report provides significant primary information and recommendations on the development of climate services across the agrifood value chain with a view to systematically enhance sustainable and resilient opportunities. It also provides a basis for further research and investment funding in this area. Its findings could spark follow-up research and public and private investment.

This report provides detailed information about climate and its variability in Nepal, including past trends, future climate change projections and likely impacts on the agriculture sector. The report elaborates the institutional context for managing climate risks and adaptation and reiterates the need to strengthen the collection and analysis of data and information. A comprehensive typology of coping and adaptation strategies for managing current climate risks and building the necessary knowledge and good practices for advancing adaptation over the longer term is presented. The report also examines the issues and opportunities for mainstreaming climate change concerns into broader agriculture and food security policies, plans and strategies.

The content of this guide is twofold: to describe the most important weather and agroclimatic products that are available by the National Meteorological Service (NMS) and to identify the most important needs of farmers concerning climate information. Special consideration will be given to the local knowledge used by rural farmers, too often neglected, but a key factor to their ability to cope with climate variability and change. An additional objective of this guide is to improve communication among the NMS staff, in particular, meteorologists and agrometeorologists and to encourage Agro-Pastoral Field School (APFS) trainers and facilitators to be more aware of their respective availability. Furthermore, one of the most important aims is the exchange of agroclimatic information that corresponds to the needs of all concerned, thus facilitating the assessment of the existing climatic risks in farming activities. The integration of the Response Farming in Rainfed Agriculture (RF) approach into Farmer Field School (FFS) is feasibly an effective way to reconcile NMS products with the needs of farmers. RF is a method used for identifying and quantifying rainfall variability at a local level to assess the climatic risks of farming communities. The Climate-Responsive Farming Management (CRFM) approach is an enhanced version of RF that uses modern and digital technologies, such as specific computer software, automatic weather stations, real-time telecommunication and smartphone applications. This approach can be implemented at a minimum cost at the farming level.The integration of the Response Farming in Rainfed Agriculture (RF) approach into FFS is feasibly an effective way to reconcile NMS products with the needs of farmers. RF is a method used for identifying and quantifying rainfall variability at a local level to assess the climatic risks of farming communities. The Climate-Responsive Farming Management (CRFM) approach is an enhanced version of RF that uses modern and digital technologies, such as specific computer software, automatic weather stations, real-time telecommunication and smartphone applications. This approach can be implemented at a minimum cost at the farming level.