Natural hazard induced disasters (NHID), such as floods, droughts, severe storms, and animal pests and diseases have significant, widespread and long lasting impacts on agricultural sectors around the world. With climate change set to amplify many of these impacts, a “business as usual” approach to disaster risk management in agriculture cannot continue if we are to meet the challenges of agricultural productivity and sustainability growth, and sustainable development. Drawing from seven case studies – Chile, Italy, Japan, Namibia, New Zealand, Turkey and the United States – this joint OECD?FAO report argues for a new approach to building resilience to NHID in agriculture. It explores the policy measures, governance arrangements, on?farm strategies and other initiatives that countries are using to increase agricultural resilience to NHID, highlighting emerging good practices. It offers concrete recommendations on what more needs to be done to shift from coping with the impacts of disasters, to an ex ante approach that focuses on preventing and mitigating the impacts of disasters, helping the sector be better prepared to respond to disasters, and to adapt and transform in order to be better positioned for future disasters.

Raging floods, massive storms and cataclysmic earthquakes: every year up to 340 million people are affected by these and other disasters, which cause loss of life and damage to personal property, agriculture, and infrastructure. So what can be done? The key to understanding the causes of disasters and mitigating their impacts is the concept of 'vulnerability'. Mapping Vulnerability analyses 'vulnerability' as a concept central to the way we understand disasters and their magnitude and impact. Written and edited by a distinguished group of disaster scholars and practitioners, this book is a counterbalance to those technocratic approaches that limit themselves to simply looking at disasters as natural phenomena. Through the notion of vulnerability, the authors stress the importance of social processes and human-environmental interactions as causal agents in the making of disasters. They critically examine what renders communities unsafe - a condition, they argue, that depends primarily on the relative position of advantage or disadvantage that a particular group occupies within a society's social order. The book also looks at vulnerability in terms of its relationship to development and its impact on policy and people's lives, through consideration of selected case studies drawn from Africa, Asia and Latin America. Mapping Vulnerability is essential reading for academics, students, policymakers and practitioners in disaster studies, geography, development studies, economics, environmental studies and sociology.

The term 'natural disaster' is often used to refer to natural events such as earthquakes, hurricanes or floods. However, the phrase 'natural disaster' suggests an uncritical acceptance of a deeply engrained ideological and cultural myth. At Risk questions this myth and argues that extreme natural events are not disasters until a vulnerable group of people is exposed. The updated new edition confronts a further ten years of ever more expensive and deadly disasters and discusses disaster not as an aberration, but as a signal failure of mainstream 'development'. Two analytical models are provided as tools for understanding vulnerability. One links remote and distant 'root causes' to 'unsafe conditions' in a 'progression of vulnerability'. The other uses the concepts of 'access' and 'livelihood' to understand why some households are more vulnerable than others. Examining key natural events and incorporating strategies to create a safer world, this revised edition is an important resource for those involved in the fields of environment and development studies.

Uncertainties are pervasive in natural hazards, and it is crucial to develop robust and meaningful approaches to characterize and communicate uncertainties to inform modeling efforts. In this monograph we provide a broad, cross-disciplinary overview of issues relating to uncertainties faced in natural hazard and risk assessment. We introduce some basic tenets of uncertainty analysis, discuss issues related to communication and decision support, and offer numerous examples of analyses and modeling approaches that vary by context and scope. Contributors include scientists from across the full breath of the natural hazard scientific community, from those in real-time analysis of natural hazards to those in the research community from academia and government. Key themes and highlights include: Substantial breadth and depth of analysis in terms of the types of natural hazards addressed, the disciplinary perspectives represented, and the number of studies included Targeted, application-centered analyses with a focus on development and use of modeling techniques to address various sources of uncertainty Emphasis on the impacts of climate change on natural hazard processes and outcomes Recommendations for cross-disciplinary and science transfer across natural hazard sciences This volume will be an excellent resource for those interested in the current work on uncertainty classification/quantification and will document common and emergent research themes to allow all to learn from each other and build a more connected but still diverse and ever growing community of scientists. Read an interview with the editors to find out more: https://eos.org/editors-vox/reducing-uncertainty-in-hazard-prediction

El Salvador has made significant development progress in the past 30 years. The end of the civil war in 1992 marked the establishment of a liberal democracy and an open export-led development model, which led to a reduction in poverty and inequality. However, with economic growth averaging a modest 2.4% in the years before the COVID-19 pandemic, and productivity growth of 0.1% over the past decade, the post-war model has not generated the economic momentum or the jobs that the country needs.