Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/27969

Title: An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries
Authors: Villani, R.
Sabbatini, T.
Perez, O.M.
Guiomar, N.
Debolini, M.
Keywords: Mediterranean farming systems
Agricultural dynamics
Land systems
Crop diversity
West mediterranean basin
Crop production
Issue Date: Dec-2019
Publisher: Elsevier
Citation: Villani, R., Sabbatini, T., Perez, O. M., Guiomar, N., & Debolini, M. (2019). An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries. Data in Brief, 27, 104774.
Abstract: The dataset presented in this paper is based on data gathered from several countries within the West Mediterranean area at the highest detailed scale regarding official statistics, with the aim of investigating land and food systems dynamics in the Mediterranean. Characterizing land and food systems dynamics is critical to reveal insights regarding interactions between current dynamics of agricultural practices, species diversity and local food systems. These interactions were analyzed, at multiple spatial scales, on a large part of the Mediterranean basin within the DIVERCROP Project (https://divercropblog.wordpress.com/). An harmonized dataset with the desired characteristics was not readily available from official sources and, therefore, it was necessary to build an ad hoc database that could: (1) cover the Mediterranean areas of seven countries, namely Algeria (DZ), France (FR), Italy (IT), Malta (MT), Portugal (PT), Spain (ES) and Tunisia (TN); (2) contain data referred to the most disaggregated level of administrative units for which data is available in each country; (3) contain data referred to at least two time points, including the latest available data, in each country; (4) contain data on number of farm holdings, on the physical areas covered by the main annual and permanent crops and on livestock (number of heads); (5) contain a primary key that allows joining the census and surveys database to a geographical dataset of administrative units covering the entire area; (6) have an associated complete geographical dataset of administrative units, to allow spatial data analyses.
URI: https://www.sciencedirect.com/science/article/pii/S2352340919311291#ack0010
http://hdl.handle.net/10174/27969
Type: article
Appears in Collections:PAO - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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