Climate Prediction And Agriculture

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.

Climate variability has major impacts in many parts of the world, including Australia. Developments in understanding of the El Niño - Southern Oscillation Phenomenon have introduced some skill in seasonal to inter-annual climate forecasting. Can this skill be harnessed to advantage? Or do we just continue to observe these impacts? How does a decision-maker managing an agricultural or natural ecosystem modify decisions in response to a skillful, but imprecise, seasonal climate forecast? Using Australian experience as a basis, this book focuses on these questions in pursuing means to better manage climate risks. The state of the science in climate forecasting is reviewed before considering detailed examples of applications to: farm scale agricultural decisions (such as management of cropping and grazing systems); regional and national scale agricultural decisions (such as commodity trading and government policy); and natural systems (such as water resources, pests and diseases, and natural fauna). Many of the examples highlight the participatory and inter-disciplinary approach required among decision-makers, resource systems scientists/analysts, and climate scientists to bring about the effective applications. The experiences discussed provide valuable insights beyond the geographical and disciplinary focus of this book. The book is ideally suited to professionals and postgraduate students in ecology, agricultural climatology, environmental planning, and climate science.

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.

This book reviews the latest assessments of climate variability and climate change, and their impacts on agriculture and forestry, and recommends appropriate adaptation strategies for reducing the vulnerability of agriculture and forestry to climate variability and climate change. Among other solutions, the text offers management strategies to mitigate greenhouse gas emissions from different agroecosystems, and proposes the use of seasonal climate forecasts to reduce climate risk.

The challenge in using seasonal forecasting in agriculture is to assess and capture the potential benefits so that the well-being of people is improved in terms of increased food security, protection of the resource base, lower costs or better economic outcomes within the community. This report arises from an ACIAR project involving researchers in Indonesia, Zimbabwe, India and Australia.

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.

Learn how the climate can affect crop production! Agrometeorology: Principles and Applications of Climate Studies in Agriculture is a much-needed reference resource on the practice of merging the science of meteorology with the service of agriculture. Written in a concise, straightforward style, the book presents examples of clinical applications (methods, techniques, models, and services) in varying climates and agricultural systems, documenting up-to-date research literature from around the world. Its systematic approach—different from most books on the subject—makes it an essential tool for teaching, planning, and practical use by working farmers, as it examines topics such as solar radiation, effective rain, drought monitoring, evapotranspiration, and remote sensing. Agrometeorology: Principles and Applications of Climate Studies in Agriculture examines the developing discipline that international agencies such as the World Meteorological Organization (WMO) and the Food and Agriculture Organization (FAO) have declared to be an important growth area in university education. A panel of academics, researchers, and practitioners explore the role of agrometeorology in optimum crop growth, from the interactions between meteorological and hydrological factors and agriculture, including horticulture, animal husbandry, and forestry. The book addresses pressing topics of agriculture resource utilization and management, such as regional and land use planning; soil and water conservation; frost; growing degree day; risk analysis of climate hazards; animal parasites; harvest forecasts; crop models; decision support systems (DSS); agroclimatological forecast; and the ecological and economic implications of climate change. Agrometeorology: Principles and Applications of Climate Studies in Agriculture also addresses: managing farm water resources environmental temperature planning for frost mitigation photosynthetically active radiation (PAR) thermoperiodism managing the extremes—droughts and floods using computers to manage agricultural systems and much more! The interdisciplinary focus and reader-friendly style of Agrometeorology: Principles and Applications of Climate Studies in Agriculture make the book invaluable to scientists, planners, and academics working in the major agricultural sciences, geography, natural resource studies, and meteorology.