Catastrophe risk models for evaluating disaster risk reduction investments in developing countries.

Major natural disasters in recent years have had high human and economic costs, and triggered record high postdisaster relief from governments and international donors. Given the current economic situation worldwide, selecting the most effective disaster risk reduction (DRR) measures is critical. This is especially the case for low- and middle-income countries, which have suffered disproportionally more economic and human losses from disasters. This article discusses a methodology that makes use of advanced probabilistic catastrophe models to estimate benefits of DRR measures. We apply such newly developed models to generate estimates for hurricane risk on residential structures on the island of St. Lucia, and earthquake risk on residential structures in Istanbul, Turkey, as two illustrative case studies. The costs and economic benefits for selected risk reduction measures are estimated taking account of hazard, exposure, and vulnerability. We conclude by emphasizing the advantages and challenges of catastrophe model-based cost-benefit analyses for DRR in developing countries.

Tectonic ecology.

Earthquakes and volcanic eruptions affect ecosystems on a variety of scales. Trees are particularly susceptible to land movements associated with major fault activity and dendrological studies offer ways of dating past earthquakes, thereby assisting in the prediction of future events. Major eruptions and the largest earthquakes can cause damage that affects patterns of ecological diversity across wide areas, offering a possible measure of earthquake frequency from community composition.