In this paper, we analyze the determinants of monthly variations in forest fire frequency and on the size of the area burnt for Italian regions between 2000 and 2011. We employ panel data techniques, which allow capturing the dynamics of fire danger due to changes in past climatic conditions, after accounting for regional fixed effects to control region-specific unobserved and time-invariant factors. Results highlight a significant heterogeneity of the effects of driving factors across the Italian peninsula and weather seasons. Climatic conditions also show lasting effects within the year. Using climate change projections for 2016–2035, we then obtain the projected forest fire frequency and total area burnt across the Italian peninsula for the same period. Climate change is expected to increase the number of forest fires across the whole peninsula, which is more evident for the central part of Italy. Even though most of annual increases in fire events relate to the summer period, intensifications in frequency during autumn become more evident in the southern Italy. We extend finally our analysis to investigate the contribution of socio-economic factors to fire regime and the role of education and the containment of fraudulent activity is also highlighted.

Water recycling is becoming progressively more important as the need for Integrated Urban Water Management (IUWM) is increasing to ensure a transition towards a more sustainable use for water. Perceptions and public acceptance of water reuse are recognised as paramount factors for the successful introduction of wastewater reuse projects, regardless of the strength of scientific evidence in their favour. This article analyses perceptions of risks and benefits of using treated wastewater for irrigation purposes in agriculture when dealing with different crops. Data from an original farmer survey are analysed through descriptive statistics and a classification tree approach. The study reveals limited knowledge of wastewater treatment, yet a good level of openness towards the reuse of wastewater for irrigation. A lower risk perception and a higher acceptance level are mainly explained by positive expectations with regard to the environmental characteristics of effluent water, higher education, and specific cropping choices. Enhancing information availability is also found to positively affect social acceptance. The ease of converting current water-management practices to the new water source explains the perceived benefits of reusing water.

International agreements on climate change have highlighted the role of land in climate and human dynamics, making it an issue of global importance. The modelling of land-related processes, sectors, and activities has recently become a central topic in economic and policy theory, as well as within environmental sciences. Modelling strategies have been improved and new datasets have come into light for land-cover and land-use change analysis. However, unexpected human behavior and natural constraints challenge the modelling of interdependences and feedback mechanisms amongst economies, societies, and the environment, resulting from land-use and cover change. This paper provides a detailed overview of the most representative and advanced methods and models developed to represent climate–human–land interactions. It offers a critical discussion about relevant methodological aspects, missing knowledge, and areas for future research.