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As cropland management and land use shifted towards more intensive practices, global land degradation increased drastically. Understanding relationships between ecological and socioeconomic drivers of soil and landscape degradation within these landscapes in economically dynamic contexts such as the Mediterranean region, requires multi-target and(More)
This study implements an exploratory data analysis of landscape metrics and a change detection analysis of land use and population density to assess landscape dynamics (1954-2008) in two physiographic zones (plain and hilly-mountain area) of Emilia Romagna, northern Italy. The two areas are characterized by different landscape types: a mixed urban-rural(More)
Traditionally fuel maps are built in terms of 'fuel types', thus considering the structural characteristics of vegetation only. The aim of this work is to derive a phenological fuel map based on the functional attributes of coarse-scale vegetation phenology, such as seasonality and productivity. MODIS NDVI 250 m images of Sardinia (Italy), a large(More)
Understanding the latent relationship between rural landscape and biodiversity conservation is of key importance when aiming to preserve food security, ecosystem services and the quality of the environment. Crop intensification negatively impacted the biodiversity of rural areas and was followed by the adoption of mono-cultural production models. The(More)
The present study illustrates a multidimensional analysis of an indicator of urban land use efficiency (per-capita built-up area, LUE) in mainland Attica, a Mediterranean urban region, along different expansion waves (1960–2010): compaction and densification in the 1960s, dispersed growth along the coasts and on Athens' fringe in the 1970s, fringe(More)
A diachronic investigation of land cover changes (1990–2000) in a Mediterranean region with high human pressure (Attica, Greece) was developed in the present study with the aim to profile different agro-forest types and their evolution over time. Changes in the distribution of 31 land cover classes and their spatial relationships have been assessed using(More)
A new approach to characterise geographical areas with a drought risk index (DRI) is suggested, by applying an artificial neural network (ANN) classifier to bioclimatic time series for which operational temporal units (OtUs) are defined. A climatic database, corresponding to a grid of 8 km x 8 km cells covering the Italian peninsula, was considered. Each(More)
Variation in growth, arsenic and heavy metal uptakes by aboveground tissues (leaves, stems and branches) of 13 hybrid Eucalyptus clones selected for biomass production in a Mediterranean environment (E. camaldulensis × E. viminalis; E. camaldulesis × E. grandis; E. camaldulensis × E. globulus subsp. bicostata) was investigated on agricultural soils(More)
The present study analyzes the structure and dynamics of the forest landscape in a peri-urban area (Rome, Italy) during the city’s expansion from 1949 to 2008 using landscape metrics and change detection analysis of digital maps of the area (1500 km2). While urban settlements increased continuously from 6.5 to 27.5 % of the study area, woodlands changed(More)
  • C Kosmas, Or Kairis, +69 authors A Ziogas
  • 2014
An approach to derive relationships for defining land degradation and desertification risk and developing appropriate tools for assessing the effectiveness of the various land management practices using indicators is presented in the present paper. In order to investigate which indicators are most effective in assessing the level of desertification risk, a(More)