A data driven study of relationships between relief and farmland abandonment in a Mediterranean region

The environmental, cultural and socio-economic causes and consequences of farmland abandonment are issues of increasing concern for researchers and policy makers. In previous studies, we proposed a new methodology for selecting the driving factors in farmland abandonment processes. Using Data Mining and GIS, it is possible to select those variables which are more significantly related to abandonment. The aim of this study is to investigate the application of the above mentioned methodology for finding relationships between relief and farmland abandonment in a Mediterranean region (SE Spain).We have taken into account up to 28 different variables in a single analysis, some of them commonly considered in land use change studies (slope, altitude, TWI, etc), but also other novel variables have been evaluated (sky view factor, terrain view factor, etc). The variable selection process provides results in line with the previous knowledge of the study area, describing some processes that are region specific (e.g. abandonment versus intensification of the agricultural activities). The European INSPIRE Directive (2007/2/EC) establishes that the digital elevation models for land surfaces should be available in all member countries, this means that the research described in this work can be extrapolated to any European country to determine whether these variables (slope, altitude, etc) are important in the process of abandonment.

Gender sensitivity in national health plans in Latin America and the European Union

Objectives: To evaluate the situation regarding gender sensitivity in national health plans in Latin America and the European Union for the decade 2000–2010. Methods: A systematic search and content analysis of national health plans were carried out within 37 countries. Gender sensitivity, defined as the extent to which a health plan considers gender as a central category and develops measures to reduce any gender-related inequalities, was analysed through an ad hoc checklist. Results: The description of health problems by sex was more frequent than intervention proposals aimed at reducing gender health disparities. The greatest number of specific intervention proposals targeted at overcoming gender-based health inequalities were associated with sexual and/or reproductive health, gender based violence, the working environment and human resources training. Compared to the European Union member states, Latin American health plans were found to be generally more gender sensitive. Conclusions: National health plans are still generally lacking in gender sensitivity. Disparities exist in health policy formulation in favour of men, whilst women's health continues to be identified mainly with reproductive health. If gender sensitivity is not taken into account, efforts to improve the quality of clinical care will be insufficient as gender inequalities will persist.

The Social effects of the Economic Crisis: an Unequal Effect on Social Inequalities in the European Union

Paper submitted to IRSES II Symposium, Kokaeli, Turkey, June 16-20, 2014.

Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region

Moderate resolution remote sensing data, as provided by MODIS, can be used to detect and map active or past wildfires from daily records of suitable combinations of reflectance bands. The objective of the present work was to develop and test simple algorithms and variations for automatic or semiautomatic detection of burnt areas from time series data of MODIS biweekly vegetation indices for a Mediterranean region. MODIS-derived NDVI 250m time series data for the Valencia region, East Spain, were subjected to a two-step process for the detection of candidate burnt areas, and the results compared with available fire event records from the Valencia Regional Government. For each pixel and date in the data series, a model was fitted to both the previous and posterior time series data. Combining drops between two consecutive points and 1-year average drops, we used discrepancies or jumps between the pre and post models to identify seed pixels, and then delimitated fire scars for each potential wildfire using an extension algorithm from the seed pixels. The resulting maps of the detected burnt areas showed a very good agreement with the perimeters registered in the database of fire records used as reference. Overall accuracies and indices of agreement were very high, and omission and commission errors were similar or lower than in previous studies that used automatic or semiautomatic fire scar detection based on remote sensing. This supports the effectiveness of the method for detecting and mapping burnt areas in the Mediterranean region.