Farmland expansion and intensification do not foster local food self-sufficiency. Insights from the Mediterranean area.

Bridging the gap between the micro and the macro scale in modelling food security to inform context-specific regionalised policies remains a major scientific challenge. A better understanding of the relations between global and local drivers impacting local food self-sufficiency (LFSS) is essential. We applied to the whole Mediterranean environmental area (Southern and Northern) a modelling framework for structural estimates (PLS-PM) using qualitative and quantitative methods to combine local-level information from field surveys and participatory workshops with global-level data. Our findings show that farmland expansion and intensification spatially disconnected from urban consumption areas do not appear to foster LFSS. On the other hand, public policies appear key to enhancing LFSS in the Mediterranean area if appropriate to the particular regional context. We outline how this multi-level modelling methodology can contribute to a place-based approach by informing context-specific regionalised policies aimed at food security.

A spatial dataset about short-term land system dynamics (2005-2015) in the Mediterranean basin.

Mediterranean land systems are undergoing significant changes in terms of agricultural land use and practices. The location and nature of agricultural areas in the Mediterranean basin are changing following a set of tensions and opportunities taking place both locally and in the entire basin. This dataset presents the main short-term land system dynamics (2005-2015) and their location on the whole Mediterranean basin. The dataset is based on existing land use map and available data about agricultural surface distribution, and it is obtained through a classification process of the land systems on the two analyzed data (2005 and 2015) and a subsequent change detection between the two obtained maps. It covers all the Mediterranean bioclimatic area in pixels of 2 km spatial resolution, harmonizing information from the northern and southern side of the basin. We identified different types of changes, and the most relevant in terms of surfaces are: (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. This data can be used for further analysis to assess underlying trajectories, and the impact of the observed dynamics on biodiversity and the provision of ecosystem services, as well as on the organization of the food system.