1,720,996 research outputs found

    Intensification, periurbanization and specialization of agriculture as significant short-term land system dynamics in the Mediterranean basin

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    Mediterranean land systems are undergoing significant changes in terms of agricultural land use and practices. In the literature these changes are highlighted by a number of local or regional studies, however, an overview of the land system changes at the Mediterranean basin level is lacking. This paper identifies the main land system dynamics over a short time period (2005-2015) and their location, in order to highlight the trajectories that are also taking place in other parts of the world. We identified four significant types of change: (1) from mixed agriculture to specialized fruit groves; (2) from agricultural areas to urban and/or periurban areas; (3) from agroforestry to arable systems, and (4) from predominantly bare soils to agricultural areas. These ongoing dynamics can be characterized as intensification, periurbanization and specialization of agriculture

    Characterisation of agri-landscape systems at a regional level. A case study in Northern Tuscany (Italy).

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    Preserving our landscape in sustainable development processes is now widely considered as fundamental. It is a complex and evolving issue that can be tackled from several perspectives. Agronomy can contribute to analyzing the relationships between agricultural production systems (cropping, farming and agricultural systems) at different levels (field, farm, and region) and the agricultural landscape (in terms of patches, matrixes, dynamics, etc). This is of particular interest where the relationships between “what and how” are produced by agricultural activities and the landscape are changing. In this case their own reciprocity may represent an opportunity to analyze complex systems, such as the characterization of agri-landscapes at a regional level. We propose a case study developed as an up-scaling analytical process from a farm to a regional level. The result was the identification of six main agri-landscape systems highlighting the landscape drivers that are changing the traditional landscape of a rural region in Northern Tuscany (Lunigiana)

    Disentangling the drivers of marginalisation in Mediterranean inlands: A case study in the Sardinian mountains

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    Farmland abandonment is a growing issue in many mountainous regions worldwide, particularly in the Mediterranean basin. The central region of Gennargentu-Mandrolisai in Sardinia (Italy) is particularly susceptible to this trend due to its distinctive topography, its remote localisation and the distance from the primary urban centres of the region. In fact, this region was traditionally suited for agro-silvopastoral systems, but it was included in the national strategy for inland areas mainly because of the demographic decline and land abandonment. This paper aims to identify the main drivers of rural marginalisation, abandonment and de-anthropisation by combining qualitative and quantitative spatial data. Qualitative data were collected from 30 farmers’ interviews targeting young, dynamic, innovative farmers in order to identify possible triggers for maintaining agricultural activities. A diachronic analysis of land use from Corine Land Cover maps at five different dates over thirty ye..

    Expansion and specialization of agricultural systems in western mediterranean areas: A global analysis based on the two last census data

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    The study aims to describe and interpret the agricultural system dynamics on the Western Mediterranean areas in terms of occupied land and crop specialization, by using the available data from the two last agricultural censuses. From the spatial point of view, we chose to adopt the most detailed level available, by using the smallest land administrative unit (LAU) for every involved country (Spain, Portugal, France and Italy). The resulting database was made of about 16k records and seven fields for a total of 112k single data. The considered variables were: total farm area (TFA), utilized agricultural area (UAA), irrigated area (IA), arable lands (AL), permanent crops (PC), permanent grassland (PG) and remaining surface (RS). The LAU data analysis was carried out following the four steps: (i) level of land occupation by agricultural systems; (ii) patterns of crop groups in UAA composition; (iii) attribution to each LAU of an agricultural typology (AT), resulting from the combination of the two previous features and iv) calculation of two synthetic indices to evaluate the expansion and specialization level for each LAU. Finally, an analysis of the spatial distribution of the two indices was proposed. Results showed a lowering over time of the TFA, UAA and PG areas and an increase of IA and RS. The number of identified ATs was rising at the expense of their extension. This phenomenon led to a fragmentation in ATs spatial distribution within the same geographical region. These changes prove that farmers’ responses to the driving forces acting on agricultural systems have been more differentiated than in the past. The prevailing strategy seems to aim at a reduction in the level of specialization of the agricultural systems whereas less marked was the lowering of their level of expansion

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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