Hyperarid, arid, semiarid, and dry subhumid areas cover approximately 41% of the global land area. The human population in drylands, currently estimated at 2.7 billion, faces limited access to sufficient, affordable, and nutritious food. We discuss the interlinkages among water security, environmental security, energy security, economic security, health security, and food security governance, and how they affect food security in drylands. Reliable and adequate water supply, and the prevention of water contamination, increase the potential for ample food, fodder, and fiber production. Protecting woodlands and rangelands increases food security by buffering the slow onset effects of climate change, including biodiversity loss, desertification, salinization, and land degradation. The protection of natural lands is expected to decrease environmental contamination, and simultaneously, reduce the transfer of diseases from wildlife to humans. Biofuel production and hydroelectric power plants increase energy security but generate land-use conflicts, deforestation, and ecosystem degradation. Economic security generally positively correlates with food security. However, economic growth often degrades the environment, changes tenure rights over natural resources, and stimulates migration to urban areas, resulting in lower food and health security. Moreover, civil unrest, political instability, and armed conflicts disrupt local economies in drylands. Maintaining food security is crucial for health security; conversely, malnourished populations and unresponsive health systems decrease economic security, and adversely affect environmental, energy, and food security. Climate change is expected to deteriorate health security by spreading vector-borne diseases. Effective governance and timely interventions can substantially shorten periods of food insecurity, lower their intensities, and accelerate recovery from inevitable crises, and are therefore crucial in preventing humanitarian crises. Since global drylands population will nearly double by 2050, and since drylands are among the most susceptible areas to climate change, integrated multi-hazard approaches to food security are needed.

Agricultural land systems are the result of human interactions with the natural environment, and subjective evidence of socio-economic and environmental interactions has been demonstrated. Nevertheless, it is still difficult to analyze empirically the link between agricultural market and policy, as well as the environmental response due to changes in crop management by local stakeholders. In this study, we propose a cross investigation and analysis to bring the link between vegetation cover, policy, market and farmer’s behavior to light. Our methodology is a combination of a rational positive and analogical approach between the quantifiable and non-quantifiable agents on a temporal basis. The method is applied to a dominant mono-crop agricultural watershed in Southern Italy that has been dedicated to durum wheat cultivation. In this region, we studied the relationship between the Common Agricultural Policy (CAP), durum wheat market price, vegetation cover and land allocation. As a first step, we conducted a separate analysis for each factor, exploiting Moderate Resolution Imaging Spectroradiometer (MODIS) satellite observed Leaf Area Index (LAI) to analyze the land vegetation space–time distribution over the period 2000–2014 and three Land Satellite (Landsat) validated images as check-points for the agricultural pattern and CAP’s reforms. We used the Farm Accountancy Data Network (FADN) and Eurostat data to investigate the on-farm accountancy and the durum wheat market price changes, respectively. Based on the study period, we developed a storyline of the major relevant CAP’s policy changes. In a second step, we conducted a comparative analysis where the CAP’s reforms were used as interpretational support, the land allocation and the on-farm accountability for CAP’s implementation, the price of durum wheat and the LAI for analytical comparison. We found interesting insights regarding the non-agronomic driving forces of LAI dynamics. The behavior of the individual farmers is influenced by the CAP policy that has been implemented by using profitability as the stimulus for the decision making of the farmer. This explains the correlation of the trend between the market price, the LAI of durum wheat and their associated dynamics.

In this paper, the results obtained by applying two polarimetric SAR decompositions to a time-series of L-band radar data, in terms of scattering contributions, are compared with the simulations of the Tor Vergata electromagnetic model. The objective was to evaluate the capability of polarimetric SAR decompositions to single out those scattering mechanisms mostly correlated to soil moisture or vegetation. We performed the analysis by using L-band full-polarimetric SAOCOM-1A data acquired over an agricultural region in the Monte Buey site (Córdoba Province, Argentina) and by considering five corn fields.