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Review

Working in (Slow) Progress: Socio-Environmental and Economic Dynamics in the Forestry Sector and the Contribution to Sustainable Development in Europe

1
Institute of Methodologies for Environmental Analysis, Italian National Research Council (IMAA-CNR), c.da Santa Loja snc, 85050 Tito, PZ, Italy
2
NBFC, National Biodiversity Future Center, 90133 Palermo, PA, Italy
3
Department of Social and Economic Sciences, Polytechnic University of Marche, Piazzale Martelli 8, 60121 Ancona, AN, Italy
4
Department of Social Communications, Institute of Journalism, Taras Shevchenko National University of Kyiv, 64/13 Volodymyrska Street, 01601 Kyiv, Ukraine
5
Department of Regional Management, Faculty of Economics, University of South Bohemia in České Budějovice, Studentská 13, CZ-37005 České Budějovice, Czech Republic
6
Department of Mathematics, Informatics and Economics, University of Basilicata, Via dell’Ateneo Lucano, 85100 Potenza, PZ, Italy
7
Department of Methods and Models for Economics, Territory and Finance (MEMOTEF), Faculty of Economics, Sapienza University of Rome, Via del Castro Laurenziano 9, 00161 Rome, RM, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(13), 10271; https://0-doi-org.brum.beds.ac.uk/10.3390/su151310271
Submission received: 24 May 2023 / Revised: 26 June 2023 / Accepted: 27 June 2023 / Published: 28 June 2023
(This article belongs to the Special Issue Sustainable Forest Management and Natural Hazards Prevention)

Abstract

:
Forest ecosystems are increasingly subject to disturbances, such as extreme (climate) events, fires and pathological outbreaks, which exert significant (and still poorly quantified) economic impacts, despite their intrinsic resilience. How forest management addresses these challenges will have profound effects on human health, environmental diversity, (ecological and economic) productivity and the ability of forest ecosystems to recovery from exogenous shocks. Assuming forests as ensuring ecosystem services that are vital to society and human well-being, in addition to providing wood material, a better knowledge of forest ecosystems appears a key requirement to delineate a developmental strategy that guarantees environmental protection objectives and achievement of climate and energy targets. In the context of Sustainable Development Goals of the United Nations 2030 Agenda, the information available on forest management practices in Europe still seems not completely suitable to provide a comprehensive overview of ecosystem conditions, their economic value, and their biodiversity. Based on a literature review, the present contribution focuses on recent dynamics of the forestry sector in Europe, delineating the inherent complexity in the environmental-economic nexus. Additionally, the extensive use of a key natural resource such as wood exerts social implications for local districts adapting to ecological change—from climate warming to landscape transformations. In line with earlier studies, our paper confirms the role of the technical-economic dimension of forestry in sustainable development paths of districts and regions, affecting together (i) short-term economic dynamics, (ii) the growth prospects of the sector, (iii) the organization of the supply chain, (iv) the interconnections between companies, and (v) investment strategies at large. One of the major issues is the low reliability of official statistics to provide a coherent picture of the actual status of forest resources. At the same time, forestry practices are pivotal in maintaining habitats and species while increasing the timber production that remains (too) sustainable. This is the policy direction constantly given by the European Commission to stimulate over time public bodies and private (in whose hands is about 60% of European forests) to start virtuous paths in the circular economy with considerable repercussions in terms of additional jobs, recycled materials, mt of CO2 equivalent avoided, and increase in community added value. In this context, forestry should assure a more ‘holistic’ contribution to sustainable development paths at various spatial scales. This means concentrating on both economic and environmental targets based on the identification of significant (ecological-economic) dimensions that may delineate future lines of investigation and policy intervention, while increasing between member countries and regional authorities.

1. Introduction

Recovery from the great recession has not coincided with a persistent and spatially homogeneous economic growth in Europe. The effects of the pandemic crisis and, more recently, of the geo-political conflict on the Eastern edge of the continent—with the related energy implications-outline an underlying uncertainty about future socioeconomic dynamics [1,2]. This uncertainty has significant but equally heterogeneous repercussions on the individual productive sectors limiting, in many cases, the ability to transition towards a truly circular economy and an exquisitely sustainable development path [3]. Despite the contribution of general and sector policies, these challenges were mainly managed, often successfully, by regional and local markets even before the pandemic [4]. Thanks to the pervasiveness of climate change on a global and local scale, the supply chains most exposed to continuous transformations reflecting the ecological transition were also the most sensitive to environmental, territorial and social issues [5,6].
At the same time, it was demonstrated how forest ecosystems are increasingly subject to disturbances, such as extreme (climate) events, fires, pathological outbreaks and human activities at large [7,8,9,10,11,12,13,14,15,16,17,18], which exert significant (but still poorly quantified) economic impacts [19,20,21,22]. How forest management addresses these challenges will have profound effects on human health, environmental diversity, (ecological and economic) productivity and the resilience of forest ecosystems to exogenous shocks. In addition to providing wood material, forests ensure multiple—and relevant-ecosystem services that are vital to society and human well-being [23,24,25,26,27,28]. A focus on environmental sustainability reduces risk profiles for businesses and for society as a whole, and stimulates innovation and entrepreneurship, making production chains more competitive [29,30]. The International Panel for Climate Change (IPCC) has confirmed the importance of forests and the productive sectors connected to them, demonstrating how CO2 emissions can be reduced by up to a third through natural solutions. This means promoting businesses and management strategies that ensure the resilience of forest ecosystems and the economic vitality of connected supply chains [31]. The forestry sector fulfills multiple functions in Europe, providing socioeconomic benefits that include new jobs and growth opportunities in rural areas, and consolidating, at least indirectly, some recreational functions typical of old-growth woods [32,33]. Extensive research has consistently demonstrated that spending time in forests can effectively reduce stress, improve moods, and even aid in the recovery process from illnesses [34,35,36,37]. Numerous studies have also examined the effectiveness of forest-related clinical programs in enhancing the well-being of diverse groups, including delinquents, psychiatric patients, emotionally disturbed children, and individuals with mental health issues [38,39].
To increase the knowledge about the contribution of natural places to the health and well-being, several international initiatives, such as the European initiatives COST action E39 (https://www.cost.eu/actions/E39/, accessed on 16 June 2023), have been largely diffused showing that forests play a crucial role in providing ecosystem services, offering a wide range of recreational/tourism activities such as hiking, picnicking, and biking. As a result, there was a growing emphasis in recognizing the potential of woodlands as spaces for recreational purposes, stress relief and relaxation [35].
In addition to the economic benefits directly generated by forestry, wood remains a vital input in the manufacturing industry, also retaining significant uses as a source of energy, likely growing in the current geopolitical scenario [2,40]. This appears to be a positive aspect on the one hand, given the forest heritage, even if it is considered negative on the other hand, being potentially in competition with uses of wood with higher manufacturing added value. At the same time, companies—especially furniture factories—suffer from a structural problem of dependence on foreign supplies [6,41].
Official data show, at least indirectly, how the intrinsic vulnerability of forest formations appears increasingly evident and progressively more associated with the economic and social dynamics of local districts, representing a source of volatility and uncertainty, and reducing the potential resilience of entire regions to global changes [42,43,44,45,46]. This is particularly true in economically deprived contexts such as inland and marginal areas in the old continent, where it is systematically difficult to do business and where the surrounding conditions (accessibility, permeability to innovation, networking, openness to the global economy) are disadvantageous [47,48,49,50,51,52].
Based on a literature review, the present contribution focuses on recent dynamics of forestry in Europe, delineating the inherent complexity in the environmental-economic nexus characteristic of the forest sector. The extensive use of a key natural resource such as wood has important social implications for local districts adapting to continuous ecological change, from climate warming to landscape transformations [53,54,55,56,57,58,59,60,61,62]. In line with earlier studies, our paper confirms the importance of the technical-economic dimension of forestry in sustainable development paths of districts and regions [63,64,65,66], affecting together (i) short-term economic dynamics, (ii) the growth prospects of the sector, (iii) the organization of the supply chain, (iv) the interconnections between companies, and (v) investment strategies at large.
At the same time, this contribution documents how the complexity of forestry and the intrinsic relationship with other economic sectors and ecological issues cannot be reduced to overly simplified interpretations grounded on exquisitely ‘technical’ points of view. On the contrary, our study supports the introduction of interpretative frameworks of forestry as providing a ‘holistic’ contribution in sustainable development paths at various spatial scales. This can be realized exclusively by identifying relevant environmental, social and economic targets of forestry, in turn delineating future lines of theoretical research and empirical investigation.
To address the deserving question of sustainable development in any production sector with relevant impacts on the environment, the article is organized as follows: Section 2 provides a brief analysis of recent dynamics in forest resources with a focus on the European continent. Section 3 is focused on the environmental effects of forestry. Section 4 delineates the economic use of forest resources and the wood-furniture supply chain in Europe, summarizing official statistics and introducing a brief analysis of the productive interconnections between forestry and furniture industry. Section 5 summarizes European policies’ framework and recent innovations in forest planning with a sustainability perspective. Section 6 concludes the study with an open discussion on the main issues at stake when debating the environmental and economic contribution of forestry in advanced economies, possibly distinguishing central locations from more peripheral places, where forestry represents a relevant added value in rural systems that should be better tuned with the aspect of environmental protection.

2. Forest Resources: Analyzing Recent Dynamics in Europe

In the world, forest area continues to shrink by an alarming 4.7 million hectares per year on average, with deforestation advancing at a rate of 10 million hectares per year [67]. Over the past 10 years, the countries with the largest net (annual average) forest area losses were Brazil, the Democratic Republic of the Congo, Indonesia, Angola, Tanzania, Paraguay, Myanmar, Cambodia, Bolivia, and Mozambique [67]. However, awareness of the importance of forest protection measures has grown: in the last 30 years, protected forest areas have reached approximately 726 million hectares, almost 200 million more than in 1990 [67,68]. Focusing on Europe, among the most recent initiatives launched, Natura 2000 network is the largest coordinated network of protected sites stretching over 18% of the EU’s land and almost 6% of marine areas (covering about 850,000 km2, see https://land.copernicus.eu/local/natura, accessed on 13 June 2023). This network originates from two Directives (Habitats and Birds Directives, i.e., 92/43/EC and 2009/147/EC) aimed at preserving threatened species within their habitats and assuring long-term survival of ecological functions [69], while taking into account socio-economic, cultural and local requirements.
In this context, forest trends observed in the European continent fit into a more general pattern characteristic of advanced economies, which see a consolidation of forest areas, especially in marginal places of developed countries [70,71,72,73,74,75]. As a matter of fact, forest expansion—mainly driven by large-scale reforestation programs—was one of the major changes in land-use over the last 200 years in Europe [76,77,78,79,80]. At the same time, rural exodus has accelerated the technological changes that have allowed the intensification of agricultural systems on smaller areas, freeing up land for the (often spontaneous) forest recolonization, above all on abandoned and previously cultivated land [81,82,83,84,85,86,87,88,89].
In the 50 years following World War II, forest area in Western Europe increased by almost 30% [90,91]. Growth was slower in both Central-Eastern and Southern Europe (20% and 16%, respectively), while in Northern Europe, forests already represented the dominant land cover in the middle of the last century [92]. Expansion of forest cover has, however, continued almost everywhere to the present, although it has leveled off since the early 1990s, with the exception of Western Europe. Between 1990 and 2020, wooded area in Europe increased by 10.2 million hectares (+6.0%, see the report [93]). There were around 180 million hectares of woodland and other forest land in the European Union (EU)-27 (Figure 1) in 2020 (around 45% of the total area, excluding inland waters), corresponding to 5% of global forest area [93]. As a demonstration of long-term trends, afforestation (natural or man-made) and deforestation in recent years have been concentrated only in a few European countries, involving respectively less than 0.4% and 0.3% of land conversions [93].
In 2020, Sweden boasts the largest forest area in Europe, with assets estimated at 30.3 million hectares [94]. The second largest area was recorded in Spain (28.0 million hectares), while Finland (23.2 million hectares) was the only other Member State concentrating over 20 million hectares [95,96]. Next, France (18.1 million hectares), Italy, and Germany (both with around 11 million hectares) had significant forest resources in respect with smaller countries [97]. Forests account for at least half of the total area in 8 member states in 2020. The highest proportions relative to the national area were recorded in Finland (76.2%), Sweden (74.5%), and Slovenia (62.8%). In Estonia, Latvia, Spain, Portugal, and Greece, around 50–60% of the total land area is forested, as opposed to historically forestless countries (Netherlands, 11%; Ireland, 12% and Denmark, 16%). Sweden is the only member state to record a moderate contraction of the forest area between 1990 and 2020 (−0.4%), while the largest increases, greater than 8%, were recorded in three Mediterranean European countries (Croatia, Italy and Cyprus) in the same period [93,98].
The current composition and structure of forests in Europe also reflects a variety of human disturbances. According to the European Environment Agency [99], only 26% of forest species and 15% of forest habitats have been classified in a favorable conservation status. It was estimated how forests remove around 430 million tons of atmospheric CO2, storing 13% of Europe’s greenhouse gas emissions, hosting a dominant part of terrestrial biodiversity, and contributing significantly to climate change mitigation [100].
On the other hand, the main trends of future climate indicate an increase in temperature and a decrease of precipitation in most of European ecoregions and this will happen at a faster rate with respect to the rest of world (see https://unric.org/en/climate-europe-warming-faster-than-rest-of-world-ipcc/, accessed on 13 June 2023) under the forcing of an inescapable urbanization by 2050, about 84% of the European population will live in urban areas [101] with notable impacts on air/soil quality and, thus, on the health of European citizens, especially young and elderly people [102]. One of the most adopted strategy to mitigate the combination of climate change and urbanization is the development of urban forestation projects: a massive increase in planting, especially through the so-called Nature-Based Solutions (NBS), that helps to alleviate the micro-climate and air quality of urban areas by capturing CO2 and reducing the impact of sun and rain on the soil [103].
All the natural areas located in urban environments, encompassing a large variety of green covers (woodlands, urban parks, gardens, street tree and square plantations, botanical gardens and also cemeteries, to which building envelop greening has also recently been added), provide key ecosystem services and goods [104], that are not limited to the supply of material but also the provisioning of habitat quality, the regulation of air, water, soil and climate [105] and the cultural ecosystem services consisting in the physical use and benefit of restoration, aesthetics and contact with nature [106].
Moreover, urban forests, especially in the advanced economies, can play a decisive role in addressing the conflicts between forest privatization and public demand originating from the resource conflicts as a typical feature of contemporary globalization [107] consisting in the dichotomy between industrial priorities and ecological and cultural needs [108].
Finally, the distributional features of forests remain a tricky issue in Europe because no official map covering large spatial scales can be considered appropriate in addressing this point [109]. Only a fine integration of land-use maps (e.g., Corine Land Cover, Copernicus HRLs) and official statistics (agricultural censuses at a fine scale, geo-spatial information from forest inventories) may specifically answer this point.

3. Environmental Effects of Forestry

Forest resources and services could be damaged or destroyed by inadequate forest management. Forestry practices are still one of the main causes of an unfavorable conservation status of forest habitats and species [110,111]. In this sense, forestry practices vary substantially across Europe, from the absence of management due to abandonment, to exclusive management for protectionist purposes, to intensive short rotation forestry aimed at power biomass production [112,113,114,115,116,117,118,119,120]. In any case, those management regimes that are similar to natural disturbances can effectively influence stand structure, and this could increase biodiversity over time [121] while aiming at minimizing forest changes [110,122]. Generally, when compared to agriculture practices, forestry has an overall lower impact on biodiversity due to a (very) limited use of fertilizers, adopted only for weeding before reforestation plans or to favor conifer over broadleaved regeneration, with possible impact on plant diversity and wildlife [123]. Also the case of biocides is very uncommon in forestry thus, in summary, managed forests have a much lower intensity and frequency of use of these product with respect to agricultural systems [124]. However, biodiversity in managed forests is often much lower than that observed in natural forests, because of the lack of tree species diversity, heterogeneity of tree age and peculiar habitats (e.g., deadwood, see [124]). Being stand age a pivotal element in the provision of forest ecosystem services (see e.g., Ref. [125]), it can be considered a further “victim” of the modern forestry, because restricting stand ages by clearcutting medium-aged and old stands can decrease quality and number of forest function [126].
Intensive forestry can impact also old growth forests resulting in an effective (temporary) extinction of these natural milestones [127]. Unfortunately, the biomass loss from European intact primary and old-growth forests is currently ongoing [128] mainly for economic purposes causing a typical pattern of forest degradation consisting in the shift of these environments in secondary forests [129] with a loss of specialist species depending on old trees or deadwood [130]. Lastly, forestry activities can facilitate the introduction and spread of alien invasive species through forest utilization practices (extraction of non-timber products, timber harvesting, building of roads and facilities, conversion of natural forests to plantations) and the deliberate introduction of species for commercial (agro)forestry uses (see [131], https://www.fao.org/3/j6854e/J6854E04.htm, accessed on 13 June 2023).

4. The Economic Use of Forest Resources and the Wood-Furniture Supply Chain

A forest area stable over time does not necessarily mean that European forests have not been subject to important changes in recent years. Forest ecosystems respond, in fact, both to human activities—with particular reference to the withdrawal of biomass—and to ecological maturation or other natural dynamics [44,132,133,134,135]. In this regard, national statistics provide information documenting a picture of lights and shadows in the economic use of forests, which can be considered intensive only in some regional contexts, despite a more general trend towards extensification and resource under-use at the community level [136,137]. In recent years, the average rate of forest utilization (the ratio between the average annual volume felled and the annual growth volume of the stock of live trees), in fact, has remained well below 1 everywhere in Europe [138]. This indicates that, although it varied from country to country, timber production has remained highly sustainable and, in many contexts, there are opportunities for increased harvests. This assumption is conceived at an aggregate spatial scale, considering a comparison of net growth and consumption at the national scale, making use of data with different standards across countries. At the regional level, some restricted districts could be not so sustainable, with logging exerted at a very high rate [139,140]. Overexploitation of forest resources in specific areas of Europe (especially restricted contexts in Eastern Europe) may be a problem still nowadays [141,142,143]. Clearly, if we look at an even more disaggregated level (prefectures, municipalities), the situation could be even more complex, but usually the available data, even in the most economically-advanced countries, cannot exactly document this pattern at a so refined spatial scale.
Specifically, in 2020, wood stock in forests in the EU-27 member states amounted to approximately 27.6 billion cubic metres (bcm). With almost 3.7 billion cubic meters (13.3% of the EU-27 total), Sweden and Germany had the highest timber stocks among member states. Also France (3.1 bcm, 11.1%), Poland (2.7 bcm, 9.9%), Finland (2.5 bcm, 8.9%) and Romania (2.4 billion cubic meters, 8.5%) boasted significant stocks of timber [93]. These data suggest that, despite current problems, the forestry sector in Europe still has significant economic potential, playing a role in the long-term development of many rural regions [144,145].
Within the EU, there are approximately 16 million private forest owners and the traditional forestry sector (forest management, logging, sawmilling, wood products, cork, among others) has employed more than 2 million people in recent years, generating a gross added value well above 100 million euro [146]. The ownership structure of forests varies greatly from small family farms, through publicly owned forests to large estates that are owned by investors [147]. About 60% of the forest area is, however, in private hands [148]. Many farms also own forests which ensure economic diversification by combining agricultural and forestry production [149]. In 2017, the gross value added of forestry in the EU-27 was 26.2 billion euros, marking an increase (+1.5%) on the level recorded in the previous year and forestry represented 0.2% of total EU gross value added [150]. Just over half of the total value added came from four member states: Finland, Sweden, France, and Germany. Each of them recorded a value between 3.2 billion euros and 3.8 billion euros. Forestry contributed less than 0.3% of total gross value added in around half (13) of the Member States. This share was higher than 1.0% in Estonia (1.2%), Latvia (1.7%) and Finland (1.9%) [93].
In recent years, just over half a million people in Europe have been employed in forestry activities, providing the basis for diversified economic activities in rural areas—from close forest management to timber industries, from tourism to hunting [67,151]. However, labor intensity of forestry and logging activities varies considerably between Member States. In this context, an important factor is the potential for efficient use of forest mechanization, which reflects (at least to some extent) the structure and characteristics of each forest, the tree density, the species affected by the cuts and the landscape topography [152,153]. The largest workforce was recorded in Poland (73,000 employed), Romania (48,000 employed), Sweden (41,000 employed) and Germany (40,000 employed) [154]. Between 2008 and 2018, jobs in forestry activities decreased moderately (−0.2%) in the EU [97]. A growing level of employment in some member states on the Eastern side was recently recorded, e.g., in Hungary (+50%, with around 7000 more employees) and Poland (which boasted the largest absolute increase, with more than 11,000 additional jobs, corresponding to +18% over the last decade). On the contrary, the most significant employment drop in the forestry sector was recorded in Croatia (−55%, corresponding to −17,000 employees on a ten-year basis) [67,151].
Industrial roundwood—a primary product of forestry together with firewood—is an important resource for the timber industries, being the basis for sawn wood and veneers. Europe is one of the largest producers of roundwood in the world [155]. Timber manufacturing industries form a key part of the manufacturing sector in the EU-27 member state [156]. In 2018, the 397,000 companies active in the wood industry, corresponding to almost a fifth of the total for the entire manufacturing sector, employed 3.1 million people (equivalent to 10.5% of those employed in the manufacturing sector), while they generated 138.6 billion euro of added value. As such, manufacturing of wood products accounted for almost one in five firms (19.6%) across the EU manufacturing sector in 2018 [97]. Comparing this figure with the share of value added (7.1%) makes clear how small and medium enterprises—with fewer than 250 people employed—dominate the wood production chain [157].
Roundwood production in Europe has increased steadily in the last decades, decreasing temporarily in 2007–2008 due to the financial crisis, and showing important signs of recovery from 2010 onwards and since 2013 production completely recovered to pre-crisis levels (458 million cubic meters) [158]. More recently, production was estimated at 490 million cubic meters in 2018, having grown (+5.5%) compared with the previous year and being significantly higher (+21.2%) compared with 2000 [159]. This production proved to be substantially stable for hardwoods and more volatile for conifers, which represent three-fifths of the total roundwood production (60.4%, corresponding to 296 million cubic meters, [97]). In 2018, Sweden produced 75.1 million cubic meters of roundwood, a slight increase (+1.1%) compared with the previous year. Together with Sweden, Germany (71.8 million cubic meters), Finland (68.3 million cubic meters), France (48.2 million cubic meters) and Poland (46.7 million cubic meters) account for almost two third (63.3%) of the roundwood produced in the EU. The total production of sawn wood in the EU was estimated at 109 million cubic meters in 2018, increasing (+11.7%) in respect with ten years earlier. Germany and Sweden were again the main producers of sawn wood in the EU (respectively 21.9% and 16.9% of total EU-27 production). Finland was the only other EU member state to record a double-digit share (10.9%) in total wood production. Between 2008 and 2018, the increasing level of sawn wood production in the EU was mainly driven by production increases in Germany (+4.6 million cubic meters, corresponding to an increase of +23.7% in relative terms), Finland (+2.0 million cubic meters, +19.8%) and Romania (+1.3 million cubic meters, +35.6%). If, in general, the production of roundwood was significantly higher than that of firewood in almost all European countries, some significant exceptions have been observed in Denmark (54% of the timber produced is represented by firewood), Italy (63%), Greece (70%), the Netherlands (76%), and Cyprus (81%).
Despite the vitality of the wood-furniture supply chain testified by the economic data reported above, the drop in employment in the manufacturing sector, particularly evident between 2000 and 2019 (−9.6%), was more than proportionally reflected in the European wood industry [160]. Indeed, the number of workers employed in furniture production and wood product manufacturing decreased by about a quarter (−26.3% and −24.9%, respectively), with an increasingly male-dominated workforce [97]. If, in 2019, more than four out of five members of the workforce in the forestry sector were men (86.1%), only a slightly lower percentage (83.4%) was observed in the manufacturing of wood and its derivatives (83.4%), while the share of male employment was still slightly lower for furniture manufacturing (77.3%) [97].

5. The Framework of European Policies and Recent Innovations in Forest Planning

Assuming a systematic reduction of forest cover and woody resources in many parts of the world due to deforestation [161], the European Commission pursues the strengthening of regulatory actions to protect forest heritage, through the promotion of global value chains that do not determine deforestation and forest degradation (Stepping up EU Action to protect and restore the world’s forests. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions) [162]. From 1980 onwards, the EU has implemented guidelines and action programs for the forestry sector, which have been sometimes implemented in the Common Agricultural Policy (CAP), particularly in rural development policies [163,164,165]. In the 1990s, forestry evolved from a marginal support of the CAP to a transversal instrument of European policies for sustainable development, moving to the approval of the Forest Strategy of the European Union in 1998 [166,167]. This was the first reference framework including guidelines for action in the Member States according with the principles of Sustainable Forest Management [168]. The 2005 Forest Action Plan (FAP), aimed at ‘enhancing the forest heritage of the Union, maintaining and strengthening the multifunctional role of forests through active and aware management of the forests’ was the main implementing tool of the Strategy [169]. In 2013, with the new European Forest Strategy, and its revisions afterwards, the role of forests in climate mitigation and adaptation policies was strengthened, with the aim of stimulating a supply of renewable and environmentally compatible raw materials [170].
The forest strategy has also provided a coherent framework for community policies and a fine tuning of the forest policies of individual Member States, promoting the concept of sustainable forest management in the light of an efficient use of resources [30,171]. Strongly anchored to the Green Deal and the biodiversity strategy for the 2030 Agenda target, the new community strategy recognizes the central role of forests and the contribution of the entire value chain of this sector in creating, by 2050, a sustainable and climate-neutral economy, while ensuring the recovery, resilience, and adequate protection of all ecosystems—not just those dominated by forests [172]. Given that greenhouse gas emissions and removals by forests will play a crucial role in achieving the EU target of net removal of 310 million tons of CO2 equivalents, these measures aimed at strengthening the protection and recovery of forest stocks, improving its sustainable management, and enhancing its monitoring and the effectiveness of decentralized planning, in order to allow these ecosystems to play a multifunctional role [173].
In order to further support a sustainable forest bio-economy for a zero-climate impact future, the strategy also proposes measures for the innovation and promotion of new materials and products capable of replacing their counterparts of fossil origin and to boost a non-timber-based forest economy [174,175,176,177,178]. This included ecotourism on the basis of the new strategy published in July 2021 and replacing the EU Forest Strategy adopted in 2013 and evaluated in 2018 (COM (2018) 811 Final) [162]. Finally, the strategy focused on sustainable reforestation (and afforestation) was accompanied by a roadmap for the planting of at least three billion new trees in the EU by 2030 [179].
This strategy was structurally associated with (and benefits from the operational interventions of) the CAP, which supports the vitality and economic profitability of rural areas through the Rural Development Plans (RDPs) [180]. These measures also represent the main source of economic support for the protection and sustainable management of community forests by promoting multifunctional forestry and sustainable forest management, combined with other development measures (advice and services, training, investments, cooperation) that respond to specific regional needs [181]. These actions also support forest expansion through reforestation and the renewal of agroforestry systems, providing operational and economic tools for the prevention of wildfires and natural disasters, restoration after damage, investments for mitigation and adaptation to climate change, as well as compensatory economic mechanisms and incentives for improving the economic value of forests and pre-industrial wood products [162,182,183].
In a particularly dynamic context like the current one, the European Commission has based the response to the crisis produced by the pandemic with the Next Generation EU, articulating it on three pillars: social cohesion, green economy, and digital transition [184,185]. In this perspective, the Carbon Border Adjustment Mechanism intends to protect its production from less ecological ones that arrive from outside the borders of the Union (see e.g., Ref. [186]). With the “Fit for 55” package, the continent is now called to achieve carbon neutrality by 2050, with an intermediate goal of 2030 (−55% emissions, see [187]).
Supported by economic resources, the member countries will also have to reach a target for the supply of critical raw materials, being regarded as fundamental (and constantly rising) inputs in the transition and development of renewables. In the furniture sector, the possible benefits of the circular economy are estimated in the EU at 160,000 additional jobs, 3.3–5.7 tons of additional reused and/or recycled materials, 3.3 to 5.7 mt of CO2 equivalent avoided, and an increase of 4.9 billion euros in community added value [188,189]. The challenge for the wood supply chain and for the furniture industry is therefore to fully and rapidly seize the opportunities of a truly sustainable development [190]. However, these policies are founded on the hypothesis that biomass combustion (including wood) can be categorized as emission-free energy source, as affirmed by EPA (Environmental Protection Agency) in 2018 (see https://www.smithsonianmag.com/smart-news/epa-declares-burning-wood-carbon-neutral-180968880/, accessed on 17 June 2023). Despite the lack of scientific evidence [191], this underlying statement continues to drive global strategies on climate change. On the contrary, most scholars have indicated a clear worsening of climate and a threat for forests in the case of a return to firewood as energy source [192,193].
Secondary, this political orientation will have a negative impact on the accessibility to wood resources contributing to the problems for companies of high-quality wood products such as furniture factories.

6. Discussion

The empirical evidence collected in our study documents the complexity of the ecological-economic nexus underlying forestry and the forest sector at large. From the ecological perspective, a better knowledge of forest ecosystems is a key information requirement to satisfy a competitive strategy for the supply chain that guarantees environmental protection objectives and full satisfaction of climate and energy targets in the context of Sustainable Development Goals adopted by all countries as part of the United Nations 2030 Agenda [75,194,195,196]. Currently, the information available on forest management practices in Europe still seem not extensive enough to provide a representative overview of ecosystem conditions, their economic value, and their biodiversity [197,198,199,200]. Furthermore, some national statistics may not be fully comprehensive, since they do not include all logging activities, some of which appear to be aimed at basic (and mostly informal) needs such as home heating [201,202]. Accurate quantification of forest land-use and related changes, and more accurate information on forest management practices and their impact on forest resources are urgently needed [203]. In this sense, remote methodologies will provide better information on changes in forest area and forest management [204,205,206,207,208,209,210,211,212,213]. This will include regular updates of land monitoring services under the Copernicus-Land initiative of Global Monitoring and Environmental Surveillance (GMES) system adopted by European Environment Agency (EEA), which will provide high-resolution forest information such as tree cover density, forest type and small woody tree characteristics [214,215,216]. All this information is necessary for an accurate monetary quantification of resource stock, which is still incomplete today [217].
From the economic perspective, if the production of wood and other products remains stable in Europe, the number of sawmills and infrastructures for forest uses are slowly decreasing. On the contrary, forest area and volumes have progressively increased in recent decades together with the carbon storage capacity of the forests. This is good news in itself, which however has a downside, as our forests are increasingly vulnerable, threatened by natural phenomena (climate change, floods, landslide) and by agricultural abandonment, which can generate economic instability and environmental degradation especially in disadvantaged and marginal districts (see e.g., Refs. [218,219,220]). Evaluating the forest stock, mainly in terms of high-quality timber for the furniture industry chain, represents a challenge for official statistics, which should offer the aggregate user with a broad information of recent economic and environmental trends, stimulating improvements in data completeness, indicator reliability, and timeliness updating.
A closer collaboration between member countries and regional authorities, will contribute to harmonizing information that increase the quality of economic assessments, with a view to rational and sustainable exploitation of forest resources [221]. Being intrinsically multi-disciplinary, issues dealing with forest supply chains are difficult to monitor exclusively through official statistics [222]. At the same time, our report confirms how the economic analysis needs a broader interpretation of the various organizational dimensions which include the issue of assessing environmental resources. For instance, this dimension is still today characterized by partial statistics, methodological definitions that are not always coherent, and limited spatial detail.
Sector operators seem to have increased awareness of the importance of investments at company level, in favor of truly significant actions in the direction of circular economy, preserving the value of products, components, and materials within the economic system as long as possible [223]. Requiring a change of corporate, territorial and individual vision, rethinking the way of producing and consuming at the root, these actions should direct the production and consumption systems towards more efficient paths, thanks to continuous and regenerative cycles, allowing for a reduction in the consumption of raw materials and energy, the generation of waste, and emissions in production processes [224,225]. Circular approaches guaranteeing medium-term environmental sustainability are now widespread in the industrial strategies of all sectors, with circular principles advancing above all within companies that produce furniture, the most dynamic dimension of the supply chain [226,227].
In the wood supply chain, most materials appear destined for landfill or combustion. Usually, dead branches, barks, ashes and processing waste are considered only as elements to get rid of. Although labeled as by-products, these materials can enjoy a different epilogue in which to find a reuse of value and a good positioning within the market [225,228]. Most of the mulch products that are on the market come from very distant areas. This makes the recovery of the discarded bark interesting. Generally, barks and dead branches are used for low-cost thermoelectric combustion, while these materials can have a great nutritional value and can play a considerable role in soil protection. Ashes can be a high carbon fertilizer capable of complementing peat and other soil conditioners (see for example the best practices implemented by ProBest project at https://www.goprobest.it/, accessed on 13 June 2023).
In a circular forest management, the use of the so-called “cascade” wood should be favored. It consists in assigning priority to the recovery of materials rather than to the wood combustion for energy uses. Applying this concept helps the short supply chain of wood and the economy of communities living especially in marginal areas located in the vicinity of forests [226]. With this approach, a tree trunk is considered as a raw material to be used for as long as possible through its valorisation in construction, furnishing, recycling and reuse in the paper industry, or even in the textile sector.
The use of “cascade” wood is generally an excellent exercise for conceiving forests as multifunctional resources that provide essential services for the planet and for human activities [229].
In this perspective, interventions on the labor market in the wood-furniture supply chain should include efficient information campaigns and capillary structures throughout the territory, understood as fundamental principles of information and dissemination of knowledge and practices—also with reference to environmental sustainability and the energy transition in a broad sense [230,231]. Awareness of the importance of energy and climate issues, and the urgency of policy responses to ecological issues, is already a documented prerogative of supply chain companies [232,233]. The possibility of economically supporting and encouraging active companies from the point of view of good environmental practices, but also of technological innovation, ensures a just transition—economic, ecological and informational—towards new production scenarios sustainable in the long term and resilient to rapid global changes in societies and ecosystems [234,235,236,237].

7. Concluding Remarks

This work has discussed how forestry fulfills multiple functions and provides socioeconomic benefits, including new jobs, growth opportunities in rural areas, and recreational functions that contribute to the physical and mental health of citizens [238,239,240]. In addition to the economic benefits directly generated by forestry, wood is a vital downstream input in the timber industry, also maintaining a significant use as an energy source. Social awareness of ecosystem services deriving from sustainable forest management is also increasing [241,242]. In this context of lights and shadows, the regulatory and institutional framework is very heterogeneous and not always effective in forest sustainable management and protection. The introduction of technical and product innovations, as well as the adoption of innovative regulatory and programmatic instruments in the coming years, is highly recommended.

Author Contributions

Conceptualization, L.S.; methodology, R.S. and G.Q.; software, V.I.; formal analysis, E.C.; investigation, F.M.; resources, B.N.; data curation, R.C.; writing—original draft preparation, L.S. and V.I.; writing—review and editing, V.I., L.S., M.L. and R.C.; visualization, R.C.; supervision, M.L.; funding acquisition, G.Q., R.S. and M.L. All authors have read and agreed to the published version of the manuscript.

Funding

This study was partially supported by MULTIFOR “Multi-scale observations to predict Forest response to pollution and climate change” PRIN 2020 Research Project of National Relevance funded by the Italian Ministry of University and Research (prot. 2020E52THS).

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Martinho, V.J.P.D. Impacts of the COVID-19 Pandemic and the Russia–Ukraine Conflict on Land Use across the World. Land 2022, 11, 1614. [Google Scholar] [CrossRef]
  2. Zakeri, B.; Paulavets, K.; Barreto-Gomez, L.; Echeverri, L.G.; Pachauri, S.; Boza-Kiss, B.; Zimm, C.; Rogelj, J.; Creutzig, F.; Ürge-Vorsatz, D.; et al. Pandemic, War, and Global Energy Transitions. Energies 2022, 15, 6114. [Google Scholar] [CrossRef]
  3. Anghel, V.; Jones, E. Is Europe Really Forged through Crisis? Pandemic EU and the Russia—Ukraine War. J. Eur. Public Policy 2022, 30, 766–786. [Google Scholar] [CrossRef]
  4. Allam, Z.; Bibri, S.E.; Sharpe, S.A. The Rising Impacts of the COVID-19 Pandemic and the Russia–Ukraine War: Energy Transition, Climate Justice, Global Inequality, and Supply Chain Disruption. Resources 2022, 11, 99. [Google Scholar] [CrossRef]
  5. Nocentini, S.; Buttoud, G.; Ciancio, O.; Corona, P. Managing Forests in a Changing World: The Need for a Systemic Approach. A Review. For. Syst. 2017, 26, eR01. [Google Scholar] [CrossRef]
  6. Ghadge, A.; Wurtmann, H.; Seuring, S. Managing Climate Change Risks in Global Supply Chains: A Review and Research Agenda. Int. J. Prod. Res. 2020, 58, 44–64. [Google Scholar] [CrossRef]
  7. Lanfredi, M.; Coluzzi, R.; Imbrenda, V.; Macchiato, M.; Simoniello, T. Analyzing Space–Time Coherence in Precipitation Seasonality across Different European Climates. Remote Sens. 2020, 12, 171. [Google Scholar] [CrossRef] [Green Version]
  8. Greco, S.; Infusino, M.; De Donato, C.; Coluzzi, R.; Imbrenda, V.; Lanfredi, M.; Simoniello, T.; Scalercio, S. Late Spring Frost in Mediterranean Beech Forests: Extended Crown Dieback and Short-Term Effects on Moth Communities. Forests 2018, 9, 388. [Google Scholar] [CrossRef] [Green Version]
  9. Coluzzi, R.; Fascetti, S.; Imbrenda, V.; Italiano, S.S.P.; Ripullone, F.; Lanfredi, M. Exploring the Use of Sentinel-2 Data to Monitor Heterogeneous Effects of Contextual Drought and Heatwaves on Mediterranean Forests. Land 2020, 9, 325. [Google Scholar] [CrossRef]
  10. Badia, A.; Serra, P.; Modugno, S. Identifying Dynamics of Fire Ignition Probabilities in Two Representative Mediterranean Wildland-Urban Interface Areas. Appl. Geogr. 2011, 31, 930–940. [Google Scholar] [CrossRef]
  11. Badia-Perpinyà, A.; Pallares-Barbera, M.; Badia-Perpinyà, A.; Pallares-Barbera, M. Spatial Distribution of Ignitions in Mediterranean Periurban and Rural Areas: The Case of Catalonia. Int. J. Wildland Fire 2006, 15, 187–196. [Google Scholar] [CrossRef]
  12. Modugno, S.; Balzter, H.; Cole, B.; Borrelli, P. Mapping Regional Patterns of Large Forest Fires in Wildland–Urban Interface Areas in Europe. J. Environ. Manag. 2016, 172, 112–126. [Google Scholar] [CrossRef] [PubMed]
  13. Whitman, E.; Rapaport, E.; Sherren, K. Modeling Fire Susceptibility to Delineate Wildland–Urban Interface for Municipal-Scale Fire Risk Management. Environ. Manag. 2013, 52, 1427–1439. [Google Scholar] [CrossRef]
  14. Galiana-Martin, L.; Herrero, G.; Solana, J. A Wildland–Urban Interface Typology for Forest Fire Risk Management in Mediterranean Areas. Landsc. Res. 2011, 36, 151–171. [Google Scholar] [CrossRef]
  15. Colantoni, A.; Ferrara, C.; Perini, L.; Salvati, L. Assessing Trends in Climate Aridity and Vulnerability to Soil Degradation in Italy. Ecol. Indic. 2015, 48, 599–604. [Google Scholar] [CrossRef]
  16. Fares, S.; Bajocco, S.; Salvati, L.; Camarretta, N.; Dupuy, J.-L.; Xanthopoulos, G.; Guijarro, M.; Madrigal, J.; Hernando, C.; Corona, P. Characterizing Potential Wildland Fire Fuel in Live Vegetation in the Mediterranean Region. Ann. For. Sci. 2017, 74, 1–14. [Google Scholar] [CrossRef] [Green Version]
  17. De Marco, A.; Proietti, C.; Anav, A.; Ciancarella, L.; D’Elia, I.; Fares, S.; Fornasier, M.F.; Fusaro, L.; Gualtieri, M.; Manes, F.; et al. Impacts of Air Pollution on Human and Ecosystem Health, and Implications for the National Emission Ceilings Directive: Insights from Italy. Environ. Int. 2019, 125, 320–333. [Google Scholar] [CrossRef]
  18. Hudiburg, T.W.; Law, B.E.; Moomaw, W.R.; Harmon, M.E.; Stenzel, J.E. Meeting GHG Reduction Targets Requires Accounting for All Forest Sector Emissions. Environ. Res. Lett. 2019, 14, 095005. [Google Scholar] [CrossRef]
  19. Bajocco, S.; De Angelis, A.; Salvati, L. A Satellite-Based Green Index as a Proxy for Vegetation Cover Quality in a Mediterranean Region. Ecol. Indic. 2012, 23, 578–587. [Google Scholar] [CrossRef]
  20. Mazza, G.; Manetti, M.C. Growth Rate and Climate Responses of Pinus Pinea L. in Italian Coastal Stands over the Last Century. Clim. Chang. 2013, 121, 713–725. [Google Scholar] [CrossRef]
  21. Corona, P. Global Change and Silvicultural Research. Ann. Silvic. Res. 2019, 43, 1–3. [Google Scholar] [CrossRef]
  22. Pecchi, M.; Marchi, M.; Giannetti, F.; Bernetti, I.; Bindi, M.; Moriondo, M.; Maselli, F.; Fibbi, L.; Corona, P.; Travaglini, D.; et al. Reviewing Climatic Traits for the Main Forest Tree Species in Italy. Iforest Biogeosciences For. 2019, 12, 173. [Google Scholar] [CrossRef] [Green Version]
  23. Mazza, G.; Amorini, E.; Cutini, A.; Manetti, M.C. The Influence of Thinning on Rainfall Interception by Pinus Pinea L. in Mediterranean Coastal Stands (Castel Fusano—Rome). Ann. For. Sci. 2011, 68, 1323–1332. [Google Scholar] [CrossRef] [Green Version]
  24. Härkönen, S.; Neumann, M.; Mues, V.; Berninger, F.; Bronisz, K.; Cardellini, G.; Chirici, G.; Hasenauer, H.; Koehl, M.; Lang, M.; et al. A Climate-Sensitive Forest Model for Assessing Impacts of Forest Management in Europe. Environ. Model. Softw. 2019, 115, 128–143. [Google Scholar] [CrossRef]
  25. Angelstam, P.; Elbakidze, M.; Axelsson, R.; Khoroshev, A.; Pedroli, B.; Tysiachniouk, M.; Zabubenin, E. Model Forests in Russia as Landscape Approach: Demonstration Projects or Initiatives for Learning towards Sustainable Forest Management? For. Policy Econ. 2019, 101, 96–110. [Google Scholar] [CrossRef]
  26. Doimo, I.; Masiero, M.; Gatto, P. Forest and Wellbeing: Bridging Medical and Forest Research for Effective Forest-Based Initiatives. Forests 2020, 11, 791. [Google Scholar] [CrossRef]
  27. Fabbio, G. Coppice Forests, or the Changeable Aspect of Things, a Review. Ann. Silvic. Res. 2016, 40, 108–132. [Google Scholar] [CrossRef]
  28. Newton, P.; Kinzer, A.T.; Miller, D.C.; Oldekop, J.A.; Agrawal, A. The Number and Spatial Distribution of Forest-Proximate People Globally. One Earth 2020, 3, 363–370. [Google Scholar] [CrossRef]
  29. Lazdinis, M.; Angelstam, P.; Pülzl, H. Towards Sustainable Forest Management in the European Union through Polycentric Forest Governance and an Integrated Landscape Approach. Landsc. Ecol. 2019, 34, 1737–1749. [Google Scholar] [CrossRef] [Green Version]
  30. Aszalós, R.; Thom, D.; Aakala, T.; Angelstam, P.; Brūmelis, G.; Gálhidy, L.; Gratzer, G.; Hlásny, T.; Katzensteiner, K.; Kovács, B.; et al. Natural Disturbance Regimes as a Guide for Sustainable Forest Management in Europe. Ecol. Appl. 2022, 32, e2596. [Google Scholar] [CrossRef]
  31. Masson-Delmotte, V.; Zhai, P.; Pirani, A.; Connors, S.L.; Péan, C.; Berger, S.; Caud, N.; Chen, Y.; Goldfarb, L.; Gomis, M.I.; et al. (Eds.) Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 2021. [Google Scholar]
  32. Corona, P.; Cutini, A.; Chiavetta, U.; Paoletti, E. Forest-Food Nexus: A Topical Opportunity for Human Well-Being and Silviculture. Ann. Silvic. Res. 2016, 40, 1–10. [Google Scholar] [CrossRef]
  33. Lanfredi, M.; Coluzzi, R.; Imbrenda, V.; Nosova, B.; Giacalone, M.; Turco, R.; Prokopovà, M.; Salvati, L. In-between Environmental Sustainability and Economic Viability: An Analysis of the State, Regulations, and Future of Italian Forestry Sector. Land 2023, 12, 1001. [Google Scholar] [CrossRef]
  34. Kaplan, S. The Restorative Benefits of Nature: Toward an Integrative Framework. J. Environ. Psychol. 1995, 15, 169–182. [Google Scholar] [CrossRef]
  35. Grilli, G.; Sacchelli, S. Health Benefits Derived from Forest: A Review. Int. J. Environ. Res. Public Health 2020, 17, 6125. [Google Scholar] [CrossRef] [PubMed]
  36. Nilsson, K.; Sangster, M.; Gallis, C.; Hartig, T.; De Vries, S.; Seeland, K.; Schipperijn, J. (Eds.) Forests, Trees and Human Health; Springer: Dordrecht, The Netherlands, 2011; ISBN 978-90-481-9805-4. [Google Scholar]
  37. Tsunetsugu, Y.; Lee, J.; Park, B.-J.; Tyrväinen, L.; Kagawa, T.; Miyazaki, Y. Physiological and Psychological Effects of Viewing Urban Forest Landscapes Assessed by Multiple Measurements. Landsc. Urban Plan. 2013, 113, 90–93. [Google Scholar] [CrossRef]
  38. Shin, W.S.; Yeoun, P.S.; Yoo, R.W.; Shin, C.S. Forest Experience and Psychological Health Benefits: The State of the Art and Future Prospect in Korea. Environ. Health Prev. Med. 2010, 15, 38–47. [Google Scholar] [CrossRef] [Green Version]
  39. Driver, B.L.; Peterson, G.L.; Easley, A.T. Benefits perceived by past participants in the NOLS Wind River Wilderness course: A methodological inquiry. In Proceedings of the 4th World Wilderness Congress, Estes Park, CO, USA, 14–18 September 1987; pp. 52–63. [Google Scholar]
  40. Skyrman, V. Industrial Restructuring, Spatio-Temporal Fixes and the Financialization of the North European Forest Industry. Compet. Chang. 2022, 10245294221133534. [Google Scholar] [CrossRef]
  41. Santos, A.; Carvalho, A.; Barbosa-Póvoa, A.P.; Marques, A.; Amorim, P. Assessment and Optimization of Sustainable Forest Wood Supply Chains—A Systematic Literature Review. For. Policy Econ. 2019, 105, 112–135. [Google Scholar] [CrossRef]
  42. Corona, P.; Barbati, A.; Tomao, A.; Bertani, R.; Valentini, R.; Marchetti, M.; Fattorini, L.; Perugini, L. Land Use Inventory as Framework for Environmental Accounting: An Application in Italy. Iforest Biogeosciences For. 2012, 5, 204. [Google Scholar] [CrossRef] [Green Version]
  43. Rondeux, J.; Bertini, R.; Bastrup-Birk, A.; Corona, P.; Latte, N.; McRoberts, R.E.; Ståhl, G.; Winter, S.; Chirici, G. Assessing Deadwood Using Harmonized National Forest Inventory Data. For. Sci. 2012, 58, 269–283. [Google Scholar] [CrossRef] [Green Version]
  44. Meyfroidt, P.; Lambin, E.F. Global Forest Transition: Prospects for an End to Deforestation. Annu. Rev. Environ. Resour. 2011, 36, 343–371. [Google Scholar] [CrossRef]
  45. Salvati, L.; Carlucci, M.; Serra, P.; Zambon, I. Demographic Transitions and Socioeconomic Development in Italy, 1862–2009: A Brief Overview. Sustainability 2019, 11, 242. [Google Scholar] [CrossRef] [Green Version]
  46. MacDicken, K.; Jonsson, Ö.; Piña, L.; Maulo, S.; Contessa, V.; Adikari, Y.; Garzuglia, M.; Lindquist, E.; Reams, G.; D’Annunzio, R. Global Forest Resources Assessment 2015: How Are the World’s Forests Changing? FAO: Rome, Italy, 2016. [Google Scholar]
  47. Ferrara, A.; Salvati, L.; Sabbi, A.; Colantoni, A. Soil Resources, Land Cover Changes and Rural Areas: Towards a Spatial Mismatch? Sci. Total Environ. 2014, 478, 116–122. [Google Scholar] [CrossRef] [PubMed]
  48. Kelly, C.; Ferrara, A.; Wilson, G.A.; Ripullone, F.; Nolè, A.; Harmer, N.; Salvati, L. Community Resilience and Land Degradation in Forest and Shrubland Socio-Ecological Systems: Evidence from Gorgoglione, Basilicata, Italy. Land Use Policy 2015, 46, 11–20. [Google Scholar] [CrossRef] [Green Version]
  49. Salvati, L.; Carlucci, M. The Economic and Environmental Performances of Rural Districts in Italy: Are Competitiveness and Sustainability Compatible Targets? Ecol. Econ. 2011, 70, 2446–2453. [Google Scholar] [CrossRef]
  50. Delfanti, L.; Colantoni, A.; Recanatesi, F.; Bencardino, M.; Sateriano, A.; Zambon, I.; Salvati, L. Solar Plants, Environmental Degradation and Local Socioeconomic Contexts: A Case Study in a Mediterranean Country. Environ. Impact Assess. Rev. 2016, 61, 88–93. [Google Scholar] [CrossRef]
  51. Bowditch, E.; Santopuoli, G.; Binder, F.; del Río, M.; La Porta, N.; Kluvankova, T.; Lesinski, J.; Motta, R.; Pach, M.; Panzacchi, P.; et al. What Is Climate-Smart Forestry? A Definition from a Multinational Collaborative Process Focused on Mountain Regions of Europe. Ecosyst. Serv. 2020, 43, 101113. [Google Scholar] [CrossRef]
  52. Smiraglia, D.; Ceccarelli, T.; Bajocco, S.; Perini, L.; Salvati, L. Unraveling Landscape Complexity: Land Use/Land Cover Changes and Landscape Pattern Dynamics (1954–2008) in Contrasting Peri-Urban and Agro-Forest Regions of Northern Italy. Environ. Manag. 2015, 56, 916–932. [Google Scholar] [CrossRef]
  53. Falcucci, A.; Maiorano, L.; Boitani, L. Changes in Land-Use/Land-Cover Patterns in Italy and Their Implications for Biodiversity Conservation. Landsc. Ecol. 2007, 22, 617–631. [Google Scholar] [CrossRef]
  54. Salvati, L.; Perini, L.; Sabbi, A.; Bajocco, S. Climate Aridity and Land Use Changes: A Regional-Scale Analysis. Geogr. Res. 2012, 50, 193–203. [Google Scholar] [CrossRef]
  55. Colantoni, A.; Mavrakis, A.; Sorgi, T.; Salvati, L. Towards a ‘Polycentric’ Landscape? Reconnecting Fragments into an Integrated Network of Coastal Forests in Rome. Rend. Lincei 2015, 3, 615–624. [Google Scholar] [CrossRef]
  56. Garbarino, M.; Morresi, D.; Urbinati, C.; Malandra, F.; Motta, R.; Sibona, E.M.; Vitali, A.; Weisberg, P.J. Contrasting Land Use Legacy Effects on Forest Landscape Dynamics in the Italian Alps and the Apennines. Landsc. Ecol. 2020, 35, 2679–2694. [Google Scholar] [CrossRef]
  57. Malandra, F.; Vitali, A.; Urbinati, C.; Garbarino, M. 70 Years of Land Use/Land Cover Changes in the Apennines (Italy): A Meta-Analysis. Forests 2018, 9, 551. [Google Scholar] [CrossRef] [Green Version]
  58. Salvati, L.; Colantoni, A. Land Use Dynamics and Soil Quality in Agro-Forest Systems: A Country-Scale Assessment in Italy. J. Environ. Plan. Manag. 2015, 58, 175–188. [Google Scholar] [CrossRef]
  59. Salvati, L.; Zitti, M. Territorial Disparities, Natural Resource Distribution, and Land Degradation: A Case Study in Southern Europe. GeoJournal 2007, 70, 185–194. [Google Scholar] [CrossRef]
  60. Serra, P.; Vera, A.; Tulla, A.F.; Salvati, L. Beyond Urban–Rural Dichotomy: Exploring Socioeconomic and Land-Use Processes of Change in Spain (1991–2011). Appl. Geogr. 2014, 55, 71–81. [Google Scholar] [CrossRef]
  61. Sirami, C.; Nespoulous, A.; Cheylan, J.-P.; Marty, P.; Hvenegaard, G.T.; Geniez, P.; Schatz, B.; Martin, J.-L. Long-Term Anthropogenic and Ecological Dynamics of a Mediterranean Landscape: Impacts on Multiple Taxa. Landsc. Urban Plan. 2010, 96, 214–223. [Google Scholar] [CrossRef]
  62. Salvati, L.; Mavrakis, A.; Colantoni, A.; Mancino, G.; Ferrara, A. Complex Adaptive Systems, Soil Degradation and Land Sensitivity to Desertification: A Multivariate Assessment of Italian Agro-Forest Landscape. Sci. Total Environ. 2015, 521–522, 235–245. [Google Scholar] [CrossRef]
  63. Rodríguez, L.G.; Pérez, M.R. Recent Changes in Chinese Forestry Seen through the Lens of Forest Transition Theory. Int. For. Rev. 2013, 15, 456–470. [Google Scholar] [CrossRef] [Green Version]
  64. Corona, P. Forestry Research to Support the Transition towards a Bio-Based Economy. Ann. Silvic. Res. 2015, 38, 37–38. [Google Scholar] [CrossRef]
  65. Harfouche, A.; Khoury, S.; Fabbrini, F.; Mugnozza, G.S. Forest Biotechnology Advances to Support Global Bioeconomy. Ann. Silvic. Res. 2015, 38, 42–50. [Google Scholar]
  66. Hazarika, R.; Jandl, R. The Nexus between the Austrian Forestry Sector and the Sustainable Development Goals: A Review of the Interlinkages. Forests 2019, 10, 205. [Google Scholar] [CrossRef] [Green Version]
  67. FAO. Global Forest Resources Assessment 2020: Main Report; FAO: Rome, Italy, 2020; ISBN 978-92-5-132974-0. [Google Scholar]
  68. Raghavan, R.; Shrimali, G. Forest Cover Increase in India: The Role of Policy and Markets. For. Policy Econ. 2015, 61, 70–76. [Google Scholar] [CrossRef]
  69. Evans, D. Building the European Union’s Natura 2000 Network. Nat. Conserv. 2012, 1, 11–26. [Google Scholar] [CrossRef]
  70. Mather, A.S. The Forest Transition. Area 1992, 24, 367–379. [Google Scholar]
  71. Mather, A.S.; Needle, C.L. The Forest Transition: A Theoretical Basis. Area 1998, 30, 117–124. [Google Scholar] [CrossRef]
  72. Barbier, E.B.; Burgess, J.C.; Grainger, A. The Forest Transition: Towards a More Comprehensive Theoretical Framework. Land Use Policy 2010, 27, 98–107. [Google Scholar] [CrossRef]
  73. Pagnutti, C.; Bauch, C.T.; Anand, M. Outlook on a Worldwide Forest Transition. PLoS ONE 2013, 8, e75890. [Google Scholar] [CrossRef] [PubMed]
  74. Yackulic, C.B.; Fagan, M.; Jain, M.; Jina, A.; Lim, Y.; Marlier, M.; Muscarella, R.; Adame, P.; DeFries, R.; Uriarte, M. Biophysical and Socioeconomic Factors Associated with Forest Transitions at Multiple Spatial and Temporal Scales. Ecol. Soc. 2011, 16, 22. [Google Scholar] [CrossRef] [Green Version]
  75. EEA-European Environment Agency. European Forest Ecosystems State and Trends; Technical Report; EEA-European Environment Agency: Copenhagen, Denmark, 2016.
  76. Antrop, M. Landscape Change and the Urbanization Process in Europe. Landsc. Urban Plan. 2004, 67, 9–26. [Google Scholar] [CrossRef]
  77. Corona, P.; Calvani, P.; Mugnozza, G.S.; Pompei, E. Modelling Natural Forest Expansion on a Landscape Level by Multinomial Logistic Regression. Plant Biosyst. Int. J. Deal. All Asp. Plant Biol. 2008, 142, 509–517. [Google Scholar] [CrossRef] [Green Version]
  78. EEA-European Environment Agency. Land in Europe: Prices, Taxes and Use Patterns; EEA-European Environment Agency: Copenhagen, Denmark, 2010.
  79. Barbati, A.; Corona, P.; Salvati, L.; Gasparella, L. Natural Forest Expansion into Suburban Countryside: Gained Ground for a Green Infrastructure? Urban For. Urban Green. 2013, 12, 36–43. [Google Scholar] [CrossRef] [Green Version]
  80. Moretti, V.; Salvati, L.; Cecchini, M.; Zambon, I. A Long-Term Analysis of Demographic Processes, Socioeconomic ‘Modernization’ and Forest Expansion in a European Country. Sustainability 2019, 11, 388. [Google Scholar] [CrossRef] [Green Version]
  81. Black, R.; Adger, W.N.; Arnell, N.W.; Dercon, S.; Geddes, A.; Thomas, D. The Effect of Environmental Change on Human Migration. Glob. Environ. Chang. 2011, 21, S3–S11. [Google Scholar] [CrossRef]
  82. Corbelle-Rico, E.; Crecente-Maseda, R.; Santé-Riveira, I. Multi-Scale Assessment and Spatial Modelling of Agricultural Land Abandonment in a European Peripheral Region: Galicia (Spain), 1956–2004. Land Use Policy 2012, 29, 493–501. [Google Scholar] [CrossRef]
  83. VanWey, L.K.; Guedes, G.R.; D’Antona, Á.O. Out-Migration and Land-Use Change in Agricultural Frontiers: Insights from Altamira Settlement Project. Popul. Env. 2012, 34, 44–68. [Google Scholar] [CrossRef] [Green Version]
  84. Simoniello, T.; Coluzzi, R.; Imbrenda, V.; Lanfredi, M. Land Cover Changes and Forest Landscape Evolution (1985-2009) in a Typical Mediterranean Agroforestry System (High Agri Valley). Nat. Hazards Earth Syst. Sci. 2015, 15, 1201–1214. [Google Scholar] [CrossRef] [Green Version]
  85. Zambon, I.; Colantoni, A.; Carlucci, M.; Morrow, N.; Sateriano, A.; Salvati, L. Land Quality, Sustainable Development and Environmental Degradation in Agricultural Districts: A Computational Approach Based on Entropy Indexes. Environ. Impact Assess. Rev. 2017, 64, 37–46. [Google Scholar] [CrossRef]
  86. Frei, T.; Derks, J.; Rodríguez Fernández-Blanco, C.; Winkel, G. Narrating Abandoned Land: Perceptions of Natural Forest Regrowth in Southwestern Europe. Land Use Policy 2020, 99, 105034. [Google Scholar] [CrossRef]
  87. Tonini, M.; Parente, J.; Pereira, M.G. Global Assessment of Rural–Urban Interface in Portugal Related to Land Cover Changes. Nat. Hazards Earth Syst. Sci. 2018, 18, 1647–1664. [Google Scholar] [CrossRef] [Green Version]
  88. Santarsiero, V.; Lanorte, A.; Nolè, G.; Cillis, G.; Tucci, B.; Murgante, B. Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy). Land 2023, 12, 645. [Google Scholar] [CrossRef]
  89. Santarsiero, V.; Nolè, G.; Lanorte, A.; Tucci, B.; Cillis, G.; Scorza, F.; Murgante, B. A Remote Sensing Methodology to Assess the Abandoned Arable Land Using NDVI Index in Basilicata Region. In Proceedings of the Computational Science and Its Applications—ICCSA 2021, Cagliari, Italy, 13–16 September 2021; Gervasi, O., Murgante, B., Misra, S., Garau, C., Blečić, I., Taniar, D., Apduhan, B.O., Rocha, A.M.A.C., Tarantino, E., Torre, C.M., Eds.; Springer International Publishing: Cham, Switzerland, 2021; pp. 695–703. [Google Scholar]
  90. Charru, M.; Seynave, I.; Hervé, J.-C.; Bertrand, R.; Bontemps, J.-D. Recent Growth Changes in Western European Forests Are Driven by Climate Warming and Structured across Tree Species Climatic Habitats. Ann. For. Sci. 2017, 74, 33. [Google Scholar] [CrossRef] [Green Version]
  91. Forti, R. (Ed.) Agriculture, Forestry and Fishery Statistics: 2017 Edition; Eurostat; Publications Office of the European Union: Luxembourg, 2017. [Google Scholar]
  92. State of Europe’s Forests 2015. Status and Trends in Sustainable Forest Management in Europe; Forest Europe Liaison Unit: Madrid, Spain, 2015. [Google Scholar]
  93. Forest Europe. State of Europe’s Forests 2020; Forest Europe; Ministerial Conference on the Protection of Forests in Europe—FOREST EUROPE: Zvolen, Slovak Republic, 2020. [Google Scholar]
  94. Purwestri, R.C.; Hájek, M.; Šodková, M.; Sane, M.; Kašpar, J. Bioeconomy in the National Forest Strategy: A Comparison Study in Germany and the Czech Republic. Forests 2020, 11, 608. [Google Scholar] [CrossRef]
  95. Kallio, M.; Chen, X.; Jonsson, R.; Kunttu, J.; Zhang, Y.; Toppinen, A.; Zhang, Y.; Chen, J.; Krajnc, N.; Cashore, B.; et al. China-Europe Forest Bioeconomy: Assessment and Outlook; European Forest Institute: Joensuu, Finland, 2020. [Google Scholar]
  96. Palátová, P.; Purwestri, R.C.; Marcineková, L. Forest Bioeconomy in Three European Countries: Finland, the Czech Republic and the Slovak Republic. Int. For. Rev. 2022, 24, 594–606. [Google Scholar] [CrossRef]
  97. Cook, E. Agriculture, Forestry and Fishery Statistics—2020 Edition; Publications Office of the European Union: Luxembourg, 2020; p. 234. [Google Scholar]
  98. Kumar, A.; Adamopoulos, S.; Jones, D.; Amiandamhen, S.O. Forest Biomass Availability and Utilization Potential in Sweden: A Review. Waste Biomass Valor. 2021, 12, 65–80. [Google Scholar] [CrossRef] [Green Version]
  99. EEA-European Environment Agency. State of Nature in the EU, EEA Technical Report No 2/2015; EEA-European Environment Agency: Luxembourg, 2015.
  100. Nabuurs, G.-J.; Arets, E.J.M.M.; Schelhaas, M.-J. Understanding the Implications of the EU-LULUCF Regulation for the Wood Supply from EU Forests to the EU. Carbon Balance Manag. 2018, 13, 18. [Google Scholar] [CrossRef]
  101. Pesaresi, M.; Melchiorri, M.; Siragusa, A.; Kemper, T. Atlas of the Human Planet—Mapping Human Presence on Earth with the Global Human Settlement Layer; JoInt. Research Centre, Publications Office of the European Union; European Commission: Luxembourg, 2016.
  102. Yin, H.; Brauer, M.; Zhang, J.; Cai, W.; Navrud, S.; Burnett, R.; Howard, C.; Deng, Z.; Kammen, D.M.; Schellnhuber, H.J.; et al. Population Ageing and Deaths Attributable to Ambient PM2·5 Pollution: A Global Analysis of Economic Cost. Lancet Planet. Health 2021, 5, e356–e367. [Google Scholar] [CrossRef]
  103. Escobedo, F.J.; Giannico, V.; Jim, C.Y.; Sanesi, G.; Lafortezza, R. Urban Forests, Ecosystem Services, Green Infrastructure and Nature-Based Solutions: Nexus or Evolving Metaphors? Urban For. Urban Green. 2019, 37, 3–12. [Google Scholar] [CrossRef]
  104. Escobedo, F.J.; Kroeger, T.; Wagner, J.E. Urban Forests and Pollution Mitigation: Analyzing Ecosystem Services and Disservices. Environ. Pollut 2011, 159, 2078–2087. [Google Scholar] [CrossRef] [PubMed]
  105. Roeland, S.; Moretti, M.; Amorim, J.H.; Branquinho, C.; Fares, S.; Morelli, F.; Niinemets, Ü.; Paoletti, E.; Pinho, P.; Sgrigna, G.; et al. Towards an Integrative Approach to Evaluate the Environmental Ecosystem Services Provided by Urban Forest. J. For. Res. 2019, 30, 1981–1996. [Google Scholar] [CrossRef] [Green Version]
  106. Wang, Y.; Niemelä, J.; Kotze, D.J. The Delivery of Cultural Ecosystem Services in Urban Forests of Different Landscape Features and Land Use Contexts. People Nat. 2022, 4, 1369–1386. [Google Scholar] [CrossRef]
  107. Hayter, R.; Clapp, A. The Remapping of Forest Governance: From Shareholder to Stakeholder. In Knowledge for Governance; Glückler, J., Herrigel, G., Handke, M., Eds.; Knowledge and Space; Springer International Publishing: Cham, Switzerland, 2020; pp. 375–395. ISBN 978-3-030-47150-7. [Google Scholar]
  108. Whiteman, A.; Wickramasinghe, A.; Piña, L. Global Trends in Forest Ownership, Public Income and Expenditure on Forestry and Forestry Employment. For. Ecol. Manag. 2015, 352, 99–108. [Google Scholar] [CrossRef] [Green Version]
  109. Yousefpour, R.; Augustynczik, A.L.D.; Reyer, C.P.O.; Lasch-Born, P.; Suckow, F.; Hanewinkel, M. Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry. Sci Rep 2018, 8, 345. [Google Scholar] [CrossRef] [Green Version]
  110. Chianucci, F.; Salvati, L.; Giannini, T.; Chiavetta, U.; Corona, P.; Cutini, A. Long-Term Response to Thinning in a Beech (Fagus Sylvatica L.) Coppice Stand under Conversion to High Forest in Central Italy. Silva Fenn. 2016, 50, 1549. [Google Scholar] [CrossRef] [Green Version]
  111. Cutino, I.; Pasta, S.; Maggiore, C.V.; Badalamenti, E.; Mantia, T.L. The Role of Dominant Tree Cover and Silvicultural Practices on the Postfire Recovery of Mediterranean Afforestations. Ann. Silvic. Res. 2018, 42, 20–31. [Google Scholar] [CrossRef]
  112. Näyhä, A. Transition in the Finnish Forest-Based Sector: Company Perspectives on the Bioeconomy, Circular Economy and Sustainability. J. Clean. Prod. 2019, 209, 1294–1306. [Google Scholar] [CrossRef]
  113. Mustapha, W.F.; Trømborg, E.; Bolkesjø, T.F. Forest-Based Biofuel Production in the Nordic Countries: Modelling of Optimal Allocation. For. Policy Econ. 2019, 103, 45–54. [Google Scholar] [CrossRef]
  114. Konijnendijk, C.C.; Ricard, R.M.; Kenney, A.; Randrup, T.B. Defining Urban Forestry—A Comparative Perspective of North America and Europe. Urban For. Urban Green. 2006, 4, 93–103. [Google Scholar] [CrossRef] [Green Version]
  115. Konijnendijk, C.C. Enhancing the Forest Science-Policy Interface in Europe: Urban Forestry Showing the Way. Scand. J. For. Res. 2004, 19, 123–128. [Google Scholar] [CrossRef]
  116. Fors, H.; Nielsen, A.B.; van den Bosch, C.C.K.; Jansson, M. From Borders to Ecotones—Private-Public Co-Management of Urban Woodland Edges Bordering Private Housing. Urban For. Urban Green. 2018, 30, 46–55. [Google Scholar] [CrossRef]
  117. Jandl, R.; Spathelf, P.; Bolte, A.; Prescott, C.E. Forest Adaptation to Climate Change—Is Non-Management an Option? Ann. For. Sci. 2019, 76, 48. [Google Scholar] [CrossRef] [Green Version]
  118. Pergola, M.T.; Saulino, L.; Castellaneta, M.; Rita, A.; Pecora, G.; Cozzi, M.; Moretti, N.; Pericolo, O.; Pierangeli, D.; Romano, S.; et al. Towards Sustainable Management of Forest Residues in the Southern Apennine Mediterranean Mountain Forests: A Scenario-Based Approach. Ann. For. Sci. 2022, 79, 14. [Google Scholar] [CrossRef] [PubMed]
  119. Otero, I.; Marull, J.; Tello, E.; Diana, G.L.; Pons, M.; Coll, F.; Boada, M. Land Abandonment, Landscape, and Biodiversity: Questioning the Restorative Character of the Forest Transition in the Mediterranean. Ecol. Soc. 2015, 20, 15. [Google Scholar] [CrossRef] [Green Version]
  120. Recanatesi, F.; Clemente, M.; Grigoriadis, E.; Ranalli, F.; Zitti, M.; Salvati, L. A Fifty-Year Sustainability Assessment of Italian Agro-Forest Districts. Sustainability 2016, 8, 32. [Google Scholar] [CrossRef] [Green Version]
  121. Frelich, L.E.; Reich, P.B. Perspectives on Development of Definitions and Values Related to Old-Growth Forests. Environ. Rev. 2003, 11, S9–S22. [Google Scholar] [CrossRef] [Green Version]
  122. Emborg, J.; Christensen, M.; Heilmann-Clausen, J. The Structural Dynamics of Suserup Skov, a near-Natural Temperate Deciduous Forest in Denmark. For. Ecol. Manag. 2000, 126, 173–189. [Google Scholar] [CrossRef]
  123. Guynn Jr, D.C.; Guynn, S.T.; Wigley, T.B.; Miller, D.A. Herbicides and Forest Biodiversity—What Do We Know and Where Do We Go from Here? Wildl. Soc. Bull. 2004, 32, 1085–1092. [Google Scholar] [CrossRef]
  124. Freer-Smith, P.; Muys, B.; Bozzano, M.; Drössler, L.; Farrelly, N.; Jactel, H.; Korhonen, J.; Minotta, G.; Nijnik, M. Plantation Forests in Europe: Challenges and Opportunities|European Forest Institute. From Science to Policy 9; European Forest Institute: Joensuu, Finland, 2019. [Google Scholar]
  125. Sutherland, I.J.; Bennett, E.M.; Gergel, S.E. Recovery Trends for Multiple Ecosystem Services Reveal Non-Linear Responses and Long-Term Tradeoffs from Temperate Forest Harvesting. For. Ecol. Manag. 2016, 374, 61–70. [Google Scholar] [CrossRef]
  126. Jonsson, M.; Bengtsson, J.; Moen, J.; Gamfeldt, L.; Snäll, T. Stand Age and Climate Influence Forest Ecosystem Service Delivery and Multifunctionality. Environ. Res. Lett. 2020, 15, 0940a8. [Google Scholar] [CrossRef]
  127. Gibbons, P.; McElhinny, C.; Lindenmayer, D.B. What Strategies Are Effective for Perpetuating Structures Provided by Old Trees in Harvested Forests? A Case Study on Trees with Hollows in South-Eastern Australia. For. Ecol. Manag. 2010, 260, 975–982. [Google Scholar] [CrossRef]
  128. Svensson, J.; Andersson, J.; Sandström, P.; Mikusiński, G.; Jonsson, B.G. Landscape Trajectory of Natural Boreal Forest Loss as an Impediment to Green Infrastructure. Conserv. Biol. 2019, 33, 152–163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  129. Angelstam, P.; Manton, M. Effects of Forestry Intensification and Conservation on Green Infrastructures: A Spatio-Temporal Evaluation in Sweden. Land 2021, 10, 531. [Google Scholar] [CrossRef]
  130. Roleček, J.; Řepka, R. Formerly Coppiced Old Growth Stands Act as Refugia of Threatened Biodiversity in a Managed Steppic Oak Forest. For. Ecol. Manag. 2020, 472, 118245. [Google Scholar] [CrossRef]
  131. Brown, K.A.; Gurevitch, J. Long-Term Impacts of Logging on Forest Diversity in Madagascar. Proc. Natl. Acad. Sci. USA 2004, 101, 6045. [Google Scholar] [CrossRef] [Green Version]
  132. Perz, S.G. Grand Theory and Context-Specificity in the Study of Forest Dynamics: Forest Transition Theory and Other Directions. Prof. Geogr. 2007, 59, 105–114. [Google Scholar] [CrossRef]
  133. Marini, F.; Portoghesi, L.; Manetti, M.C.; Salvati, L.; Romagnoli, M. Gaps and Perspectives for the Improvement of the Sweet Chestnut Forest-Wood Chain in Italy. Ann. Silvic. Res. 2021, 46, 112–127. [Google Scholar]
  134. Rudel, T.K. Tree Farms: Driving Forces and Regional Patterns in the Global Expansion of Forest Plantations. Land Use Policy 2009, 26, 545–550. [Google Scholar] [CrossRef]
  135. Mancino, G.; Nolè, A.; Ripullone, F.; Ferrara, A. Landsat TM Imagery and NDVI Differencing to Detect Vegetation Change: Assessing Natural Forest Expansion in Basilicata, Southern Italy. Iforest Biogeosci. For. 2014, 7, 75. [Google Scholar] [CrossRef] [Green Version]
  136. Canadas, M.J.; Novais, A. Bringing Local Socioeconomic Context to the Analysis of Forest Owners’ Management. Land Use Policy 2014, 41, 397–407. [Google Scholar] [CrossRef]
  137. Schlüter, A.; von Detten, R. Socio-Economics in Forestry. Eur. J. For. Res. 2011, 130, 325–328. [Google Scholar] [CrossRef] [Green Version]
  138. Environmental Indicator Report 2018. In Support to the Monitoring of the Seventh Environment Action Programme; EEA-European Environment Agency: Luxembourg, 2018.
  139. Reboredo, F. Illegal Wood in Europe: A Review. Int. For. Rev. 2013, 15, 218–229. [Google Scholar] [CrossRef]
  140. Bösch, M. Institutional Quality, Economic Development and Illegal Logging: A Quantitative Cross-National Analysis. Eur. J. For. Res. 2021, 140, 1049–1064. [Google Scholar] [CrossRef]
  141. Stahl, J. The Rents of Illegal Logging: The Mechanisms behind the Rush on Forest Resources in Southeast Albania. Conserv. Soc. 2010, 8, 140–150. [Google Scholar] [CrossRef]
  142. Turubanova, S.; Potapov, P.; Krylov, A.; Tyukavina, A.; McCarty, J.; Radeloff, V.; Hansen, M. Using the Landsat Data Archive to Assess Long-Term Regional Forest Dynamics Assessment in Eastern Europe, 1985–2012. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2015, XL-7/W3, 531–537. [Google Scholar] [CrossRef] [Green Version]
  143. Bălăcescu, M.C. Romania’s National Plan against Illegal Logging: An Analysis of the Public Proposal. J. Dev. Policy Res. Pract. (JoDPRP) 2020, 4, 1–40. [Google Scholar]
  144. Marchetti, M.; Vizzarri, M.; Lasserre, B.; Sallustio, L.; Tavone, A. Natural Capital and Bioeconomy: Challenges and Opportunities for Forestry. Ann. Silvic. Res. 2014, 38, 62–73. [Google Scholar] [CrossRef]
  145. Perunová, M.; Zimmermannová, J. Analysis of Forestry Employment within the Bioeconomy Labour Market in the Czech Republic. J. For. Sci. 2022, 68, 385–394. [Google Scholar] [CrossRef]
  146. Tiebel, M.; Mölder, A.; Plieninger, T. Conservation Perspectives of Small-Scale Private Forest Owners in Europe: A Systematic Review. Ambio 2022, 51, 836–848. [Google Scholar] [CrossRef]
  147. Weiss, G.; Lawrence, A.; Lidestav, G.; Feliciano, D.; Hujala, T.; Sarvašová, Z.; Dobšinská, Z.; Živojinović, I. Research Trends: Forest Ownership in Multiple Perspectives. For. Policy Econ. 2019, 99, 1–8. [Google Scholar] [CrossRef] [Green Version]
  148. Maesano, M.; Ottaviano, M.; Lidestav, G.; Lasserre, B.; Matteucci, G.; Scarascia Mugnozza, G.; Marchetti, M. Forest Certification Map of Europe. Iforest Biogeosciences For. 2018, 11, 526. [Google Scholar] [CrossRef] [Green Version]
  149. Ficko, A.; Lidestav, G.; Ní Dhubháin, Á.; Karppinen, H.; Zivojinovic, I.; Westin, K. European Private Forest Owner Typologies: A Review of Methods and Use. For. Policy Econ. 2019, 99, 21–31. [Google Scholar] [CrossRef]
  150. Eurostat Chapter 11: Furniture and Other Manufacturing Activities. In European Business—Facts and Figure; Eurostat: Luxembourg, 2020.
  151. FAO. Forest Sector Workforce in the UNECE Region: Overview of the Social and Economic Trends with Impact on the Forest Sector; ECE/TIM/DP/76; FAO: Geneva, Switzerland, 2020. [Google Scholar]
  152. Plieninger, T.; Schaich, H.; Kizos, T. Land-Use Legacies in the Forest Structure of Silvopastoral Oak Woodlands in the Eastern Mediterranean. Reg. Env. Chang. 2011, 11, 603–615. [Google Scholar] [CrossRef] [Green Version]
  153. Kajanus, M.; Leban, V.; Glavonjić, P.; Krč, J.; Nedeljković, J.; Nonić, D.; Nybakk, E.; Posavec, S.; Riedl, M.; Teder, M.; et al. What Can We Learn from Business Models in the European Forest Sector: Exploring the Key Elements of New Business Model Designs. For. Policy Econ. 2019, 99, 145–156. [Google Scholar] [CrossRef] [Green Version]
  154. da Silva, E.J.; Schweinle, J. Green Forest Jobs in the Pan-European Region; FOREST EUROPE (Formerly Ministerial Conference on the Protection of Forests in Europe): Bonn, Germany, 2022; p. 49. [Google Scholar]
  155. Brack, D. Sustainable Consumption and Production of Forest Products; Global Forest Goals; United Nations Forum on Forests: Geneva, Switzerland, 2018; p. 74. [Google Scholar]
  156. Lovrić, M.; Lovrić, N.; Mavsar, R. Mapping Forest-Based Bioeconomy Research in Europe. For. Policy Econ. 2020, 110, 101874. [Google Scholar] [CrossRef]
  157. Socoliuc, M.; Cosmulese, C.-G.; Ciubotariu, M.-S.; Mihaila, S.; Arion, I.-D.; Grosu, V. Sustainability Reporting as a Mixture of CSR and Sustainable Development. A Model for Micro-Enterprises within the Romanian Forestry Sector. Sustainability 2020, 12, 603. [Google Scholar] [CrossRef] [Green Version]
  158. Schier, F.; Iost, S.; Seintsch, B.; Weimar, H.; Dieter, M. Assessment of Possible Production Leakage from Implementing the EU Biodiversity Strategy on Forest Product Markets. Forests 2022, 13, 1225. [Google Scholar] [CrossRef]
  159. FAO. Global Forest Products Facts and Figures; FAO—Food and Agriculture Organization of the United Nations: Rome, Italy, 2018. [Google Scholar]
  160. Marschinski, R.; Martinez, T.D. Reassessing the Decline of EU Manufacturing: A Global Value Chain Analysis; Publications Office of the European Union: Luxembourg, 2019. [Google Scholar]
  161. Pendrill, F.; Persson, U.M.; Godar, J.; Kastner, T. Deforestation Displaced: Trade in Forest-Risk Commodities and the Prospects for a Global Forest Transition. Environ. Res. Lett. 2019, 14, 055003. [Google Scholar] [CrossRef]
  162. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions—New EU Forest Strategy for 2030; European Commission: Luxembourg, 2021.
  163. Khatun, K. Reform or Reversal: Implications of the Common Agricultural Policy (CAP) on Land Use, Land Use Change, and Forestry (LULUCF) in Developing Countries. Conserv. Lett. 2012, 5, 99–106. [Google Scholar] [CrossRef]
  164. Winkel, G.; Aggestam, F.; Sotirov, M.; Weiss, G. Forest Policy in the European Union. For. Gov. 2013, 52, 52–63. [Google Scholar]
  165. Sarvašová, Z.; Ali, T.; Đorđević, I.; Lukmine, D.; Quiroga, S.; Suárez, C.; Hrib, M.; Rondeux, J.; Mantzanas, K.T.; Franz, K. Natura 2000 Payments for Private Forest Owners in Rural Development Programmes 2007–2013—A Comparative View. For. Policy Econ. 2019, 99, 123–135. [Google Scholar] [CrossRef]
  166. Henle, K.; Alard, D.; Clitherow, J.; Cobb, P.; Firbank, L.; Kull, T.; McCracken, D.; Moritz, R.F.A.; Niemelä, J.; Rebane, M.; et al. Identifying and Managing the Conflicts between Agriculture and Biodiversity Conservation in Europe—A Review. Agric. Ecosyst. Environ. 2008, 124, 60–71. [Google Scholar] [CrossRef]
  167. Pülzl, H.; Hogl, K. Forest Governance in Europe; Forest Governance; European Forest Institute: Joensuu, Finland, 2013. [Google Scholar]
  168. Rametsteiner, E.; Mayer, P. Sustainable Forest Management and Pan: European Forest Policy. Ecol. Bull. 2004, 51, 51–57. [Google Scholar]
  169. Aggestam, F.; Pülzl, H. Downloading Europe: A Regional Comparison in the Uptake of the EU Forest Action Plan. Sustainability 2020, 12, 3999. [Google Scholar] [CrossRef]
  170. Aggestam, F.; Giurca, A. The Art of the “Green” Deal: Policy Pathways for the EU Forest Strategy. For. Policy Econ. 2021, 128, 102456. [Google Scholar] [CrossRef]
  171. Falcone, P.M.; Tani, A.; Tartiu, V.E.; Imbriani, C. Towards a Sustainable Forest-Based Bioeconomy in Italy: Findings from a SWOT Analysis. For. Policy Econ. 2020, 110, 101910. [Google Scholar] [CrossRef]
  172. Fetting, C. The European Green Deal. ESDN Report; ESDN Office: Vienna, Austria, 2020. [Google Scholar]
  173. Palahí, M.; Hetemäki, L.; Potocnik, J. Bioeconomy: The Missing Link to Connect the Dots in the EU Green Deal; European Forest Institute: Joensuu, Finland, 2020. [Google Scholar]
  174. D’Amato, D.; Veijonaho, S.; Toppinen, A. Towards Sustainability? Forest-Based Circular Bioeconomy Business Models in Finnish SMEs. For. Policy Econ. 2020, 110, 101848. [Google Scholar] [CrossRef]
  175. Hurmekoski, E.; Lovrić, M.; Lovrić, N.; Hetemäki, L.; Winkel, G. Frontiers of the Forest-Based Bioeconomy—A European Delphi Study. For. Policy Econ. 2019, 102, 86–99. [Google Scholar] [CrossRef]
  176. Ladu, L.; Imbert, E.; Quitzow, R.; Morone, P. The Role of the Policy Mix in the Transition toward a Circular Forest Bioeconomy. For. Policy Econ. 2020, 110, 101937. [Google Scholar] [CrossRef]
  177. Sotiropoulou, I.; Deutz, P. Understanding the Bioeconomy: A New Sustainability Economy in British and European Public Discourse. Bio-Based Appl. Econ. 2021, 10, 283–304. [Google Scholar] [CrossRef]
  178. Viaggi, D.; Bartolini, F.; Raggi, M. The Bioeconomy in Economic Literature: Looking Back, Looking Ahead. Bio-Based Appl. Econ. 2021, 10, 169–184. [Google Scholar] [CrossRef]
  179. Lee, H.; Pugh, T.A.M.; Patacca, M.; Seo, B.; Winkler, K.; Rounsevell, M. Three Billion New Trees in the EU’s Biodiversity Strategy: Low Ambition, but Better Environmental Outcomes? Environ. Res. Lett. 2023, 18, 034020. [Google Scholar] [CrossRef]
  180. Lier, M.; Köhl, M.; Korhonen, K.T.; Linser, S.; Prins, K.; Talarczyk, A. The New EU Forest Strategy for 2030: A New Understanding of Sustainable Forest Management? Forests 2022, 13, 245. [Google Scholar] [CrossRef]
  181. Gordeeva, E.; Weber, N.; Wolfslehner, B. The New EU Forest Strategy for 2030—An Analysis of Major Interests. Forests 2022, 13, 1503. [Google Scholar] [CrossRef]
  182. Hajjar, R.; McGuigan, E.; Moshofsky, M.; Kozak, R.A. Opinions on Strategies for Forest Adaptation to Future Climate Conditions in Western Canada: Surveys of the General Public and Leaders of Forest-Dependent Communities. Can. J. For. Res. 2014, 44, 1525–1533. [Google Scholar] [CrossRef]
  183. Bajocco, S.; Dragoz, E.; Gitas, I.; Smiraglia, D.; Salvati, L.; Ricotta, C. Mapping Forest Fuels through Vegetation Phenology: The Role of Coarse-Resolution Satellite Time-Series. PLoS ONE 2015, 10, e0119811. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  184. de la Porte, C.; Jensen, M.D. The next Generation EU: An Analysis of the Dimensions of Conflict behind the Deal. Soc. Policy Adm. 2021, 55, 388–402. [Google Scholar] [CrossRef]
  185. Fabbrini, F. Italy’s National Recovery and Resilience Plan: Context, Content and Challenges. J. Mod. Ital. Stud. 2022, 27, 658–676. [Google Scholar] [CrossRef]
  186. Mörsdorf, G. A Simple Fix for Carbon Leakage? Assessing the Environmental Effectiveness of the EU Carbon Border Adjustment. Energy Policy 2022, 161, 112596. [Google Scholar] [CrossRef]
  187. Köhl, M.; Linser, S.; Prins, K.; Talarczyk, A. The EU Climate Package “Fit for 55”—A Double-Edged Sword for Europeans and Their Forests and Timber Industry. For. Policy Econ. 2021, 132, 102596. [Google Scholar] [CrossRef]
  188. Popp, A.; Calvin, K.; Fujimori, S.; Havlik, P.; Humpenöder, F.; Stehfest, E.; Bodirsky, B.L.; Dietrich, J.P.; Doelmann, J.C.; Gusti, M.; et al. Land-Use Futures in the Shared Socio-Economic Pathways. Glob. Environ. Chang. 2017, 42, 331–345. [Google Scholar] [CrossRef] [Green Version]
  189. Brizga, J.; El Khadraoui, S. The Circular Economy and Green Jobs in the EU and Beyond; London Publishing Partnership; Foundation for European Progressive Studies: London, UK, 2022; ISBN 978-1-913019-54-9. [Google Scholar]
  190. Baumgartner, R.J. Sustainable Development Goals and the Forest Sector—A Complex Relationship. Forests 2019, 10, 152. [Google Scholar] [CrossRef] [Green Version]
  191. Cornwall, W. Is Wood a Green Source of Energy? Scientists Are Divided. Science 2017, 355, 18–21. [Google Scholar] [CrossRef] [PubMed]
  192. Searchinger, T.D.; Beringer, T.; Holtsmark, B.; Kammen, D.M.; Lambin, E.F.; Lucht, W.; Raven, P.; van Ypersele, J.-P. Europe’s Renewable Energy Directive Poised to Harm Global Forests. Nat. Commun. 2018, 9, 3741. [Google Scholar] [CrossRef] [Green Version]
  193. Schlesinger, W.H. Are Wood Pellets a Green Fuel? Science 2018, 359, 1328–1329. [Google Scholar] [CrossRef] [PubMed]
  194. Linser, S.; Lier, M. The Contribution of Sustainable Development Goals and Forest-Related Indicators to National Bioeconomy Progress Monitoring. Sustainability 2020, 12, 2898. [Google Scholar] [CrossRef] [Green Version]
  195. Breidenbach, J.; Granhus, A.; Hylen, G.; Eriksen, R.; Astrup, R. A Century of National Forest Inventory in Norway—Informing Past, Present, and Future Decisions. For. Ecosyst. 2020, 7, 46. [Google Scholar] [CrossRef]
  196. Moreau, L.; Thiffault, E.; Cyr, D.; Boulanger, Y.; Beauregard, R. How Can the Forest Sector Mitigate Climate Change in a Changing Climate? Case Studies of Boreal and Northern Temperate Forests in Eastern Canada. For. Ecosyst. 2022, 9, 100026. [Google Scholar] [CrossRef]
  197. Barbati, A.; Marchetti, M.; Chirici, G.; Corona, P. European Forest Types and Forest Europe SFM Indicators: Tools for Monitoring Progress on Forest Biodiversity Conservation. For. Ecol. Manag. 2014, 321, 145–157. [Google Scholar] [CrossRef] [Green Version]
  198. Biasi, R.; Brunori, E.; Smiraglia, D.; Salvati, L. Linking Traditional Tree-Crop Landscapes and Agro-Biodiversity in Central Italy Using a Database of Typical and Traditional Products: A Multiple Risk Assessment through a Data Mining Analysis. Biodivers Conserv 2015, 24, 3009–3031. [Google Scholar] [CrossRef]
  199. Miina, J.; Kurttila, M.; Calama, R.; de-Miguel, S.; Pukkala, T. Modelling Non-Timber Forest Products for Forest Management Planning in Europe. Curr. For. Rep 2020, 6, 309–322. [Google Scholar] [CrossRef]
  200. Rosa, F.; Di Fulvio, F.; Lauri, P.; Felton, A.; Forsell, N.; Pfister, S.; Hellweg, S. Can Forest Management Practices Counteract Species Loss Arising from Increasing European Demand for Forest Biomass under Climate Mitigation Scenarios? Environ. Sci. Technol. 2023, 57, 2149–2161. [Google Scholar] [CrossRef] [PubMed]
  201. Ceccherini, G.; Duveiller, G.; Grassi, G.; Lemoine, G.; Avitabile, V.; Pilli, R.; Cescatti, A. Abrupt Increase in Harvested Forest Area over Europe after 2015. Nature 2020, 583, 72–77. [Google Scholar] [CrossRef] [PubMed]
  202. Picard, N.; Leban, J.-M.; Guehl, J.-M.; Dreyer, E.; Bouriaud, O.; Bontemps, J.-D.; Landmann, G.; Colin, A.; Peyron, J.-L.; Marty, P. Recent Increase in European Forest Harvests as Based on Area Estimates (Ceccherini et al. 2020a) Not Confirmed in the French Case. Ann. For. Sci. 2021, 78, 9. [Google Scholar] [CrossRef]
  203. Gschwantner, T.; Alberdi, I.; Balázs, A.; Bauwens, S.; Bender, S.; Borota, D.; Bosela, M.; Bouriaud, O.; Cañellas, I.; Donis, J.; et al. Harmonisation of Stem Volume Estimates in European National Forest Inventories. Ann. For. Sci. 2019, 76, 24. [Google Scholar] [CrossRef] [Green Version]
  204. Borrelli, P.; Modugno, S.; Panagos, P.; Marchetti, M.; Schütt, B.; Montanarella, L. Detection of Harvested Forest Areas in Italy Using Landsat Imagery. Appl. Geogr. 2014, 48, 102–111. [Google Scholar] [CrossRef]
  205. Chirici, G.; Chiesi, M.; Corona, P.; Salvati, R.; Papale, D.; Fibbi, L.; Sirca, C.; Spano, D.; Duce, P.; Marras, S.; et al. Estimating Daily Forest Carbon Fluxes Using a Combination of Ground and Remotely Sensed Data. J. Geophys. Res. Biogeosci. 2016, 121, 266–279. [Google Scholar] [CrossRef] [Green Version]
  206. Corona, P.; Fattorini, L.; Chirici, G.; Valentini, R.; Marchetti, M. Estimating Forest Area at the Year 1990 by Two-Phase Sampling on Historical Remotely Sensed Imagery in Italy. J. For. Res. 2007, 12, 8–13. [Google Scholar] [CrossRef] [Green Version]
  207. Hansen, M.C.; Potapov, P.V.; Moore, R.; Hancher, M.; Turubanova, S.A.; Tyukavina, A.; Thau, D.; Stehman, S.V.; Goetz, S.J.; Loveland, T.R.; et al. High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 2013, 342, 850–853. [Google Scholar] [CrossRef] [Green Version]
  208. Pignatti, S.; Acito, N.; Amato, U.; Casa, R.; Castaldi, F.; Coluzzi, R.; De Bonis, R.; Diani, M.; Imbrenda, V.; Laneve, G. Environmental Products Overview of the Italian Hyperspectral Prisma Mission: The SAP4PRISMA Project. In Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26–31 July 2015; pp. 3997–4000. [Google Scholar]
  209. Giannetti, F.; Puletti, N.; Quatrini, V.; Travaglini, D.; Bottalico, F.; Corona, P.; Chirici, G. Integrating Terrestrial and Airborne Laser Scanning for the Assessment of Single-Tree Attributes in Mediterranean Forest Stands. Eur. J. Remote Sens. 2018, 51, 795–807. [Google Scholar] [CrossRef] [Green Version]
  210. Chirici, G.; Giannetti, F.; McRoberts, R.E.; Travaglini, D.; Pecchi, M.; Maselli, F.; Chiesi, M.; Corona, P. Wall-to-Wall Spatial Prediction of Growing Stock Volume Based on Italian National Forest Inventory Plots and Remotely Sensed Data. Int. J. Appl. Earth Obs. Geoinf. 2020, 84, 101959. [Google Scholar] [CrossRef]
  211. Imbrenda, V.; Lanfredi, M.; Coluzzi, R.; Simoniello, T. A Smart Procedure for Assessing the Health Status of Terrestrial Habitats in Protected Areas: The Case of the Natura 2000 Ecological Network in Basilicata (Southern Italy). Remote Sens. 2022, 14, 2699. [Google Scholar] [CrossRef]
  212. Simoniello, T.; Coluzzi, R.; Guariglia, A.; Imbrenda, V.; Lanfredi, M.; Samela, C. Automatic Filtering and Classification of Low-Density Airborne Laser Scanner Clouds in Shrubland Environments. Remote Sens. 2022, 14, 5127. [Google Scholar] [CrossRef]
  213. Filizzola, C.; Carlucci, M.A.; Genzano, N.; Ciancia, E.; Lisi, M.; Pergola, N.; Ripullone, F.; Tramutoli, V. Robust Satellite-Based Identification and Monitoring of Forests Having Undergone Climate-Change-Related Stress. Land 2022, 11, 825. [Google Scholar] [CrossRef]
  214. Faucqueur, L.; Morin, N.; Masse, A.; Remy, P.-Y.; Hugé, J.; Kenner, C.; Dazin, F.; Desclée, B.; Sannier, C. A New Copernicus High Resolution Layer at Pan-European Scale: Small Woody Features. In Proceedings of the Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, Strasbourg, France, 9–11 September 2019; Volume 11149, pp. 268–278. [Google Scholar]
  215. Congedo, L.; Sallustio, L.; Munafò, M.; Ottaviano, M.; Tonti, D.; Marchetti, M. Copernicus High-Resolution Layers for Land Cover Classification in Italy. J. Maps 2016, 12, 1195–1205. [Google Scholar] [CrossRef] [Green Version]
  216. Chianucci, F.; Puletti, N.; Grotti, M.; Bisaglia, C.; Giannetti, F.; Romano, E.; Brambilla, M.; Mattioli, W.; Cabassi, G.; Bajocco, S.; et al. Influence of Image Pixel Resolution on Canopy Cover Estimation in Poplar Plantations from Field, Aerial and Satellite Optical Imagery. Ann. Silvic. Res. 2021, 46, 8–13. [Google Scholar] [CrossRef]
  217. Loomis, J.J.; Knaus, M.; Dziedzic, M. Integrated Quantification of Forest Total Economic Value. Land Use Policy 2019, 84, 335–346. [Google Scholar] [CrossRef]
  218. Zhang, Y.; Miao, C.; Zhu, J.; Gao, T.; Sun, Y.; Zhang, J.; Xu, S.; Yang, K. The Impact of Landslides on Chemical and Microbial Properties of Soil in a Temperate Secondary Forest Ecosystem. J. For. Res. 2022, 33, 1913–1923. [Google Scholar] [CrossRef]
  219. Samela, C.; Coluzzi, R.; Imbrenda, V.; Manfreda, S.; Lanfredi, M. Satellite Flood Detection Integrating Hydrogeomorphic and Spectral Indices. GIScience Remote Sens. 2022, 59, 1997–2018. [Google Scholar] [CrossRef]
  220. Angra, D.; Sapountzaki, K. Climate Change Affecting Forest Fire and Flood Risk—Facts, Predictions, and Perceptions in Central and South Greece. Sustainability 2022, 14, 13395. [Google Scholar] [CrossRef]
  221. Edwards, P.; Brukas, V.; Brukas, A.; Hoogstra-Klein, M.; Secco, L.; Kleinschmit, D. Development of Forest Discourses across Europe: A Longitudinal Perspective. For. Policy Econ. 2022, 135, 102641. [Google Scholar] [CrossRef]
  222. Garcia, C.A.; Hora, G. State-of-the-Art of Waste Wood Supply Chain in Germany and Selected European Countries. Waste Manag. 2017, 70, 189–197. [Google Scholar] [CrossRef] [PubMed]
  223. Mhatre, P.; Panchal, R.; Singh, A.; Bibyan, S. A Systematic Literature Review on the Circular Economy Initiatives in the European Union. Sustain. Prod. Consum. 2021, 26, 187–202. [Google Scholar] [CrossRef]
  224. Korhonen, J.; Honkasalo, A.; Seppälä, J. Circular Economy: The Concept and Its Limitations. Ecol. Econ. 2018, 143, 37–46. [Google Scholar] [CrossRef]
  225. Sahoo, K.; Bergman, R.; Alanya-Rosenbaum, S.; Gu, H.; Liang, S. Life Cycle Assessment of Forest-Based Products: A Review. Sustainability 2019, 11, 4722. [Google Scholar] [CrossRef] [Green Version]
  226. Jarre, M.; Petit-Boix, A.; Priefer, C.; Meyer, R.; Leipold, S. Transforming the Bio-Based Sector towards a Circular Economy—What Can We Learn from Wood Cascading? For. Policy Econ. 2020, 110, 101872. [Google Scholar] [CrossRef]
  227. de Klerk, S.; Ghaffariyan, M.R.; Miles, M. Leveraging the Entrepreneurial Method as a Tool for the Circular Economy: The Case of Wood Waste. Sustainability 2022, 14, 1559. [Google Scholar] [CrossRef]
  228. Pieratti, E.; Paletto, A.; Meo, I.D.; Fagarazzi, C.; Migliorini, M.G.R. Assessing the Forest-Wood Chain at Local Level: A Multi-Criteria Decision Analysis (MCDA) Based on the Circular Bioeconomy Principles. Ann. For. Res. 2019, 62, 123–138. [Google Scholar] [CrossRef]
  229. Mair, C.; Stern, T. Cascading Utilization of Wood: A Matter of Circular Economy? Curr. For. Rep 2017, 3, 281–295. [Google Scholar] [CrossRef] [Green Version]
  230. Marcinek, P.; Smol, M. Bioeconomy as One of the Key Areas of Implementing a Circular Economy (CE) in Poland. Environ. Res. Eng. Manag. 2020, 76, 20–31. [Google Scholar] [CrossRef]
  231. Van Buren, N.; Demmers, M.; Van der Heijden, R.; Witlox, F. Towards a Circular Economy: The Role of Dutch Logistics Industries and Governments. Sustainability 2016, 8, 647. [Google Scholar] [CrossRef] [Green Version]
  232. Lazaridou, D.C.; Michailidis, A.; Trigkas, M. Exploring Environmental and Economic Costs and Benefits of a Forest-Based Circular Economy: A Literature Review. Forests 2021, 12, 436. [Google Scholar] [CrossRef]
  233. Adami, L.; Schiavon, M. From Circular Economy to Circular Ecology: A Review on the Solution of Environmental Problems through Circular Waste Management Approaches. Sustainability 2021, 13, 925. [Google Scholar] [CrossRef]
  234. Gambella, F.; Bianchini, L.; Cecchini, M.; Egidi, G.; Ferrara, A.; Salvati, L.; Colantoni, A.; Morea, D. Moving toward the North? The Spatial Shift of Olive Groves in Italy. Agric. Econ. 2021, 67, 129–135. [Google Scholar] [CrossRef]
  235. Cecchini, M.; Zambon, I.; Pontrandolfi, A.; Turco, R.; Colantoni, A.; Mavrakis, A.; Salvati, L. Urban Sprawl and the ‘Olive’ Landscape: Sustainable Land Management for ‘Crisis’ Cities. GeoJournal 2019, 84, 237–255. [Google Scholar] [CrossRef]
  236. Marques, A.; Cunha, J.; De Meyer, A.; Navare, K. Contribution Towards a Comprehensive Methodology for Wood-Based Biomass Material Flow Analysis in a Circular Economy Setting. Forests 2020, 11, 106. [Google Scholar] [CrossRef] [Green Version]
  237. Jones, P.; Comfort, D. Towards the Circular Economy: A Commentary on Corporate Approaches and Challenges. J. Public Aff. 2017, 17, e1680. [Google Scholar] [CrossRef]
  238. Bielinis, E.; Jaroszewska, A.; Łukowski, A.; Takayama, N. The Effects of a Forest Therapy Programme on Mental Hospital Patients with Affective and Psychotic Disorders. Int. J. Environ. Res. Public Health 2020, 17, 118. [Google Scholar] [CrossRef] [Green Version]
  239. Stier-Jarmer, M.; Throner, V.; Kirschneck, M.; Immich, G.; Frisch, D.; Schuh, A. The Psychological and Physical Effects of Forests on Human Health: A Systematic Review of Systematic Reviews and Meta-Analyses. Int. J. Environ. Res. Public Health 2021, 18, 1770. [Google Scholar] [CrossRef]
  240. Kang, M.-J.; Kim, H.-S.; Kim, J.-Y. Effects of Forest-Based Interventions on Mental Health: A Meta-Analysis of Randomized Controlled Trials. Int. J. Environ. Res. Public Health 2022, 19, 4884. [Google Scholar] [CrossRef]
  241. Zhang, S.; Paterson, J.S.; Hujala, T. Sustaining Forest Ecosystem Services Through Social Enterprises: Motivations and Challenges from a Case Study in Scotland. Small-Scale For. 2021, 20, 627–647. [Google Scholar] [CrossRef]
  242. Torralba, M.; Lovrić, M.; Roux, J.-L.; Budniok, M.-A.; Mulier, A.-S.; Winkel, G.; Plieninger, T. Examining the Relevance of Cultural Ecosystem Services in Forest Management in Europe. Ecol. Soc. 2020, 25, 3. [Google Scholar] [CrossRef]
Figure 1. Forest and seminatural classes according to the Corine Land Cover (CLC) 2018—III Level—for the 27 European Union (EU) countries.
Figure 1. Forest and seminatural classes according to the Corine Land Cover (CLC) 2018—III Level—for the 27 European Union (EU) countries.
Sustainability 15 10271 g001
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Imbrenda, V.; Coluzzi, R.; Mariani, F.; Nosova, B.; Cudlinova, E.; Salvia, R.; Quaranta, G.; Salvati, L.; Lanfredi, M. Working in (Slow) Progress: Socio-Environmental and Economic Dynamics in the Forestry Sector and the Contribution to Sustainable Development in Europe. Sustainability 2023, 15, 10271. https://0-doi-org.brum.beds.ac.uk/10.3390/su151310271

AMA Style

Imbrenda V, Coluzzi R, Mariani F, Nosova B, Cudlinova E, Salvia R, Quaranta G, Salvati L, Lanfredi M. Working in (Slow) Progress: Socio-Environmental and Economic Dynamics in the Forestry Sector and the Contribution to Sustainable Development in Europe. Sustainability. 2023; 15(13):10271. https://0-doi-org.brum.beds.ac.uk/10.3390/su151310271

Chicago/Turabian Style

Imbrenda, Vito, Rosa Coluzzi, Francesca Mariani, Bogdana Nosova, Eva Cudlinova, Rosanna Salvia, Giovanni Quaranta, Luca Salvati, and Maria Lanfredi. 2023. "Working in (Slow) Progress: Socio-Environmental and Economic Dynamics in the Forestry Sector and the Contribution to Sustainable Development in Europe" Sustainability 15, no. 13: 10271. https://0-doi-org.brum.beds.ac.uk/10.3390/su151310271

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