Corylus avellana L. is one of the most cultivated species in the world. Mainly utilized with the purpose of obtaining food material, hazel trees cannot guarantee constant kernels productions given the threats related to pathogens and to adverse conditions, especially in a globalisation and global changes scenarios. This matter led us to consider the opportunity of using hazel tree in all its parts and for several purposes, due to its multifunctional characteristics. As a pioneer species, it is a precious plant useful for forest restoration purposes and for forest successions/wildlife facilitation. Its roots enter into symbiosis with truffles making this species exploitable for hazelnuts and truffles production. The precious elements contained in what is considered "waste" deriving from hazel crops (i.e., leaves, skins, shells, husks and pruning material), could be reused and valorised in the perspective of a circular economy that is opposed to a linear one. In particular, a list of several phenolic compounds detected in hazelnut shells has been reported in literature to prevent and delay many human diseases due to their antioxidant properties and to free radical scavenging activities, with implications potentially useful even in the fight against COVID-19. All this makes hazel crop by-products interesting to be valorised as a chemical compound source for human health, even more than a biomass fuel or for bio-char applications. The multiple possible uses of the hazel tree would lead to alternative productions than the only nut productions, avoiding significant economic losses, would decrease the cost of disposal of crops residues and would increase the sustainability of agro-ecosystems by reducing, among other things, the production of wastes and of greenhouse gases deriving from the usual burning of residues which often happens directly in fields.

Landscape‐scale prioritization models are powerful decision‐making tools in ecological restoration. Yet, they often fail to integrate multi‐stakeholder perspectives and socio‐ecological criteria. We designed a new methodology to identify high‐priority areas for landscape‐scale restoration. This participatory cost‐effectiveness analysis model is based on execution and maintenance costs and the potential increase in the supply of multiple ecosystem services. We tested the model in a 181,000 ha heavily anthropized semi‐arid landscape in southeastern Spain. Restoring the whole area would cost 221 million EUR and enhance the supply of ecosystem services by 39%. The cost‐effectiveness of restoring pine forest and abandoned and irrigated crops were higher than restoring other Landscape Units. Restoring the least degraded sites was more cost‐effective than the most degraded areas or randomly selecting sites, even when potential recovery was incomplete. Synthesis and applications. The cost‐effectiveness of restoration actions depends on the type of ecosystem and degradation state. Visualizing the outcomes of alternative restoration scenarios needs participatory prioritization maps based on financial costs and the potential supply of ecosystem services. We propose a participatory prioritization protocol that is flexible and adaptable and can help government agencies, environmental managers, investors, consultancies and NGOs' plan restoration actions at the landscape scale and optimize the effectiveness of restoration programs.

Soil erosion caused by intense rainfall events is one of the major problems affecting agricultural and forest ecosystems. The Universal Soil Loss Equation (USLE) is probably the most adopted approach for rainfall erosivity estimation, but in order to be properly employed it needs high resolution rainfall data which are often unavailable. In this case, empirical formulas, employing aggregated rainfall data, are commonly used. In this work, we select 12 empirical formulas for the estimation of the USLE rainfall erosivity in order to assess their reliability. Moreover, we used a Stochastic Rainfall Generator (SRG) to simulate a long and high-resolution rainfall time series with the aim of assessing its application to rainfall erosivity estimations. From the analysis, performed in the Rieti province of Central Italy, we identified three equations which seem to provide better results. Moreover, the use of the selected SRG seems promising and it could help in solving the problem of hydrological data scarcity and consequently guarantee major accuracy in soil erosion estimation.

A key factor to reduce soil erosion and soil instability is the conservation of forest areas. In the last years, in all Europe, forest logging has increased. The Italian situation is paradigmatic because more than 70% of the broadleaved forests are managed as coppices and new exploitations concerning biomass for energy production have tripled since 2001. The common coppicing method leaves standards uniformly distributed on the ground, but this geometry has proven to not play an effective role in soil erosion control. In this paper, we propose a different method for coppicing geometry, aimed to decrease the soil erosion risk. In particular, the theoretical framework of the model is presented here, employing the USLE framework and discussing a real case study, while the results of the experimental tests, which are in progress, will be discussed in future papers. The theoretical results seem to demonstrate the method’s validity, which is expected to reduce soil erosion amount in the range 29-42%.