Search

Recently published data on Italian forest removals from FAO and EUROSTAT are still ridden with inaccuracies and underestimation. In this work we show how and why the Italian forestry data collection system is in itself unreliable. This represents a major obstacle for designing sector policies, ensuring the flow of forest ecosystem services from the forest to the society, and defining a role for forests, forestry and wood consistent with the European Green Deal and in the NextGenerationEU Recovery and Resilience Facility. A more reliable strategy for data collection is urgently required.

According to the European Landscape Convention (ELC), a landscape means “an area, as perceived by people, whose character is the result of the action and interaction of natural and/or human factors”. Therefore, both human actions and natural processes play a role in shaping the landscape, which is, by this definition, ever changing. “Protecting” the landscape therefore means understanding, accepting and preserving such agents of change that have created it. Conversely, protective measures should not be designed to “freeze time”, nor to restore natural or human-influenced landscape features that have long ceased to exist. These basic concepts, delineated 20 years ago in Florence, are met in some parts of Italy by a dubious interpretation. Landscape protection agencies (Soprintendenze Archeologia Belle Arti e Paesaggio) seem to be oriented towards stopping or limiting the traditional activities that have shaped the current Italian forest landscape, with the purpose of increasing the forest cover for “aesthetic” reasons. Such narrow view contradicts the aims of the ELC and of the related national rules and mechanisms of landscape conservation.

Surface biomass characterization plays a key role in wildfire management. It allows classifying vegetation fuels flammability for fire risk analysis, to define silvicultural prescriptions for fire hazard reduction, to plan prescribed burning, or to model fire behavior and its effects, such as greenhouse gas and pollutant emissions. To facilitate fuel classification and analysis of potential fire behavior and effects in Italy, we harmonized 634 measurements of surface wildland fuels from Alpine, temperate and Mediterranean environments. The dataset provides quantitative data for duff, fine dead fuels and downed woody material, live grasses and shrubs fuel components. Surface fuel data were harmonized by subdividing loads (Mg ha-1) to standard size classes for dead (0-6, 6-25 and 25-75 mm) and live (0-6, 6-25 mm) fuels, collecting percent cover and depth/height (cm) of the various fuel components, and classifying observations into 19 fuelbed categories. To ensure comparability with existing vegetation classification systems, we classified each observation according to the European Fuel Map, the Corine Land Cover classes (level IV), the European Forest Types, and the forest categories of the Italian National Forest Inventory. The dataset and a photo description of each fuelbed category are available as Supplementary material. This dataset is the first step to develop several products at the national scale such as: (i) fuel type classification and mapping; (ii) carbon stock and wildfire emission estimates; (iii) calibration of fuel models for the simulation of fire behavior and effects.

Is forest harvesting increasing in Europe? There is scientific debate about methodological approach and data regarding clearcut increment in Europe but, besides the discussion, there is a general agreement about the need to collect reliable scientifically robust remote sensing data for sound forest policy-making.

In these days, the role that fine particles in urban areas could play in facilitating the pandemic spread of the COVID-19 virus is becoming increasingly important. It is also well known that exposure to air pollution and in particular to fine dust favors diseases involving the respiratory system. In this context of strong concern, we argue that urban forests can contribute to reduce the concentrations of particulates or in any increase their dispersion. Not all tree species have the same performance in removing particulates. In this short article, recent works are commented that classify urban forest species according to their ability to reduce particulate matter ambient concentrations, and we conclude highlighting the significant role that urban forests could play in improving air quality and human wellbeing in the future.

A petition entitled “Italian forests: an invaluable environmental heritage under attack” was recently published on the web. The petition is a perfect example of how environmental communication and public awareness can be manipulated. And, even more seriously, how people claiming to be environmental experts, use the “environment” label to spread their messages and slogans without accurately checking their sources. It is nevertheless of high importance that people are able to express their opinion and ideas freely and this communication between politics, communities and the academic world contribute to our growth as a society. However, any discussions must be underpinned with accurate and precise information. Furthermore, it is the scientific community’s duty to check sources of information and contribute to the spread of accurate environmental communication.

The Laudato Si’ communities have put forward the proposal to plant 60 million trees in Italy to fight the climate crisis. The role of forests in mitigating climate change is scientifically unequivocal. However, a sound reforestation strategy must be consistent with the country’s environmental, forest and socio-economic context. Italian forests and the 12 billion trees they contain currently absorb 5-10% of the total country emissions; 60 million trees would result in an additional sequestration of 0.05% of the CO2 emitted annually. Furthermore, forested areas in Italy are rapidly increasing on rural and marginal sites. On the contrary, forests are disappearing in lowlands and urban centers. Cities and suburbs are the areas where new forests could play an important role in climate mitigation, contributing to the mitigation of heat waves and air pollution, and increasing the well-being of citizens. To be successful, interventions to mitigate the climate crisis cannot be exhausted within the forest sector. Forestry-related strategies must be diversified, and include reducing deforestation, planting new forests, increasing the efficacy of sustainable and adaptive forest management, and taking advantage of the substitution effects played by wood-based materials. New urban forests, if subject to scientifically based design and planning, are an important part of this strategy.

On October 29th, 2018, storm Vaia hit forests in north-eastern Italy, causing the loss of 8 million cubic meters of standing trees and, more importantly, the sudden reduction of forest-related ecosystem services. Such event is not unprecedented: a similar storm had occurred in the same regions in 1966. Every year, an average of two extratropical storms affects the European continent, where wind is the most important agent of forest damage, contributing to more than half of total forest losses (38 million cubic meters of downed wood per year). The probability of storm damage in forests depends on four drivers: weather, site conditions, topography, and tree and stand characteristics. However peak wind speed is the dominant factor: over certain gust velocities, trees are broken or uprooted regardless of their characteristics - such velocities were certainly met by the Vaia event. In this case it may be impossible to avoid or mitigate wind damages. Nonetheless, management options to enhance the long-term forest resistance and resilience always exist. In this perspective, the storm Vaia (after the emergency management) and its consequences could be considered as a key lesson to be learned and as an important opportunity to enhance the resilience of Italian forest stands.

Forest biomass is a renewable energy source, more climate-friendly than fossil fuels and widely available in Europe. The wood energy chain has been suggested as a means to re-activate forest management and improve the value of forest stands in marginalized rural areas. However, wall-to-wall estimates of forest biomass, needed to design the location and size of power and heat biomass plants in any given territory, are notoriously difficult to obtain. This paper tests an algorithm to predict forest biomass using publicly available Landsat satellite imagery in the Liguria region, northern Italy. We used regional forest inventory data to train and validate an artificial neural network (ANN) classifier that uses remotely-sensed information such as three principal components of Landsat-5 TM spectral bands, the Enhanced Vegetation Index (EVI), and topography, to retrieve aboveground live tree volume. Percent root mean square error was -9% and -23% for conifers and broadleaves respectively in the calibration dataset, and -27% and -24% in the validation dataset. The reconstructed volume map was updated to present day using current volume increment rates reported by the Italian National Forest Inventory. A wall-to-wall map of forest biomass from harvest residues was finally produced based on species-specific wood density, biomass expansion factors, volume logged for timber assortments, forest accessibility, and topography. Predicted aboveground forest volume ranged from 81 to 391 m3 ha-1. In forests available for wood supply (70% of the total), planned volume removals averaged 25.4 m3 ha-1, or 18.7% of the average standing stock across. Biomass available for bioenergy supply was 1.295.921 million Mg dry matter or 8.95 Mg ha-1. This analysis workflow can be replicated in all mountain regions with a predominant broadleaved coppice component.

Forest cover in Italy has increased three-fold in slightly more than a century. In 2018 the area covered by forest will be, for the first time since long, larger than that covered by active cultivation. In the same time, the stewardship of forest ecosystem services such as biodiversity provision, hydrogeological protection, and landscape conservation has increased. More than 27% of Italian forests are included in protected areas; 86% of forests is subject to limitation of use connected to soil protection and water cycle regulation, and 100% is under the landscape conservation law. Italy is also home of one of the largest economies of wood transformation, but 80% of the raw material is imported, which implies several environmental, socio-economic, and ethical issues, both domestically and abroad. The conditions are ripe to plan for a responsible management of the natural capital in the country’s forests. A forest management that is active, shared, and conscious of domestic and global implications will be the best chance to maintain and improve the ecosystem services provided by forests in Italy.

Human activities have the potential to enhance carbon sequestration by the world’s forests and contribute to climate change mitigation. Voluntary carbon trading is currently the only option to pursue and reward carbon sequestration by forestry activities. Carbon credits for enhanced sequestration can be sold to partners wishing to offset their own emissions. Here we illustrate the steps taken to design guidelines for the generation of voluntary carbon credits by improved forest management in Piemonte, Italy. The guidelines have been developed in a joint effort by academia, regional administrations, forest owners and professional consultants. In particular, we show how to compute the baseline and the additionality of credit-generating forest management activities, and how to reconcile the generation of forest carbon credits with law requirements, technical limitations, and the provision of other ecosystem services. To illustrate the profitability of carbon credit generation, we simulated the application of carbon credit guidelines to two forest-rich mountain watersheds in the southern part of the Piemonte region. The two dominating tree species are beech (Fagus sylvatica L.) and chestnut (Castanea sativa Mill.). We computed current forest carbon stock and carbon credits generated in 20 years under business as usual and an alternative biomass retention scenario. The IFM resulted in an avoided harvest of 39.362 m3 for a net total of 64.014 MgCO2e after subtracting harvest emissions, or 38 Mg ha-1 throughout the permanence period of 20 years. These steps can be replicated in other mountain regions where there is interest in promoting this ecosystem service as an alternative or an addition to production-oriented forest management.

Forest fires in Italy are changing. More frequent heatwaves and drought increase the flammability of the vegetation; the abandonment of rural land produces 30.000 ha of newly afforested areas each year; and the wildland-urban interface is expanding with the sprawl of urbanized areas. However, forest fires are rarely understood and managed in their complexity. The public opinion is often misinformed on the causes and consequences of fires in the forest. Moreover, fire management relies almost exclusively on extinction and emergency response, resulting in high costs and limited efficacy versus extreme fire seasons. We advocate to increase the role and investments in wildfire prevention, which can be carried out by fuel-oriented silviculture, such as facilitating less flammable species or prescribed burning, in order to reduce the flammability of the vegetation and mitigate fire intensity in high-leverage areas. A centralized structure is necessary to implement such a strategy and coordinate the competences and actions of all local administrations and actors involved.

This review is a follow-up to the first meeting of the Forest modeling working group (FMWG) of the Italian Society of Silviculture and Forest Ecology (SISEF), held in December 2009. 18 talks were delivered to an audience of 40 researchers. We review the state of the art of forest ecosystem modeling in Italy, highlight findings from Italian research groups, and summarize relevant issues. Developing on the discussion session of the meeting, we indicate current research gaps and future challenges for modelers, forest ecologists and foresters alike, with a special emphasis on model validation, data availability, and communication between researchers and managers.