Climate change: an additional risk factor for agriculture and food security in the South

Climate change is expected to have far-reaching negative effects on agricultural production and food security in developing and transition countries. What do we know about these expected impacts, what are the factors that might affect production, and what are the implications for agricultural extension systems?

Mountains and Climate Change: A Global Concern

Editor's note: The text of this article originally appeared as the final chapter of a brochure entitled Mountains and Climate Change—From Understanding to Action, prepared at the Centre for Development and Environment, University of Bern, Switzerland, for presentation by the Swiss Agency for Development and Cooperation (SDC) at a side event at the United Nations Climate Change Conference in Copenhagen on 12 December 2009. Chapters of the brochure deal with various aspects of climate change and its impact in mountain regions. In light of the significance of the Copenhagen COP 15 conference, the editors of this publication believe MRD's readers will be interested in reading this summary written from the perspective of Swiss researchers and development experts. The full brochure may be viewed and downloaded at www.cde.unibe.ch/Research/MA_Re.asp

A Novel Method for the Homogenization of Daily Temperature Series and Its Relevance for Climate Change Analysis

Instrumental daily series of temperature are often affected by inhomogeneities. Several methods are available for their correction at monthly and annual scales, whereas few exist for daily data. Here, an improved version of the higher-order moments (HOM) method, the higher-order moments for autocorrelated data (HOMAD), is proposed. HOMAD addresses the main weaknesses of HOM, namely, data autocorrelation and the subjective choice of regression parameters. Simulated series are used for the comparison of both methodologies. The results highlight and reveal that HOMAD outperforms HOM for small samples. Additionally, three daily temperature time series from stations in the eastern Mediterranean are used to show the impact of homogenization procedures on trend estimation and the assessment of extremes. HOMAD provides an improved correction of daily temperature time series and further supports the use of corrected daily temperature time series prior to climate change assessment.