The biometric traits of Scots pine needles have been studied mainly with regard to this species provenances and refugia as well as those that were growing in some nature reserves and experi- mental forests. Meanwhile, little is known about the variability of these traits on a larger scale. We focused on Scots pine throughout its whole natural range in Poland. Our aim was to present the scope and spatial distribution of the needle length and width variability of this species. The data on needle length and width were collected from model trees representing as many as 310 sample plots distributed throughout the entire country. Scots pine needle traits expressed a large variability with needle width being less variable than needle length. The average needle length for all model trees in the country was 68.68 mm. The average needle length in the first of these sets of model trees, whose needles were longer than average, was 74.58 mm with two of the three subsets distributed in the northern part of the country. The second set of model trees grouped model trees whose needles were shorter than average. Their average needle length was 62.05 mm with only one of four subsets distributed in the same part of the country. The average width of needles was 1.17 mm. Two of three subsets of model trees whose needles were longer than average, and whose needle widths were wider than average, were distributed in the northern part of the country. The distribution of model trees with both needle length and width smaller than the average values for these traits, was not as consistent as the needle widths from the set of model trees with longer needles. The distribution of the identified subsets with the borders of both the natural forest regions and with the dendroclimatic regions for Scots pine that were distinguished in Poland. The aforementioned relationships allowed the division of the country's territory into four sections: northeastern, northwestern, southwestern and southeastern. Three of these sections contained one determined pair of two subsets, one consisting of model trees with longer needles and another with shorter needles. The one exception was the southeastern country section, which was definitively dominated by just one subset consisting of model trees with shorter needles. The spatial patterns of the identified subsets in Poland indicated quite a strong correlation between the needle traits variability and regional growing conditions.

Mountain forests in Europe have to face recently speeding-up phenomena related to climate change, reflected not only by the increases in the mean global temperature but also by frequent extreme events, that can cause a lot of various damages threatening forest stability. The crucial task of management is to adapt forests to environmental uncertainties using various strategies that should be undertaken to enhance forest resistance and resilience, as well as to maintain forest biodiversity and provision of ecosystem services at requested levels. Forests can play an important role in the mitigation of climate change. The stand features that increase forest climate smartness could be improved by applying appropriate silvicultural measures, which are powerful tools to modify forests. The chapter provides information on the importance of selected stand features in the face of climate change and silvicultural prescriptions on stand level focusing to achieve the required level of climate smartness. The selection of silvicultural prescriptions should be also supported by the application of simulation models. The sets of the various treatments and management alternatives should be an inherent part of adaptive forest management that is a leading approach in changing environmental conditions.

The increasing demand for innovative forest management strategies to adapt to and mitigate climate change and benefit forest production, the so-called Climate-Smart Forestry, calls for a tool to monitor and evaluate their implementation and their effects on forest development over time. The pan-European set of criteria and indicators for sustainable forest management is considered one of the most important tools for assessing many aspects of forest management and sustainability. This study offers an analytical approach to selecting a subset of indicators to support the implementation of Climate-Smart Forestry. Based on a literature review and the analytical hierarchical approach, 10 indicators were selected to assess, in particular, mitigation and adaptation. These indicators were used to assess the state of the Climate-Smart Forestry trend in Europe from 1990 to 2015 using data from the reports on the State of Europe's Forests. Forest damage, tree species composition, and carbon stock were the most important indicators. Though the trend was overall positive with regard to adaptation and mitigation, its evaluation was partly hindered by the lack of data. We advocate for increased efforts to harmonize international reporting and for further integrating the goals of Climate-Smart Forestry into national-and European-level forest policy making.

National Forest Inventory (NFI) data are the main source of information on forest resources at country and subcountry levels. This chapter explores the strengths and limitations of NFI-derived indicators to assess forest development with respect to adaptation to and mitigation of climate change, that is, the criteria of Climate-Smart Forestry (CSF). We reflect on harmonizing NFI-based indicators across Europe, use literature to scrutinize available indicators to evaluate CSF, and apply them in 1) Switzerland, where CSF is evaluated for NFI records and simulation model projections with four management scenarios; 2) 43 selected European countries, for which the indicators for Sustainable Forest Management (SFM) are used. The indicators were aggregated to composite indices for adaptation and mitigation and to an overall CSF rating. The Swiss NFI records showed increased CSF ratings in mountainous regions, where growing stocks increased. Simulations under business-as-usual management led to a positive CSF rating, whereas scenarios of increased harvesting decreased either only adaptation or both mitigation and adaptation. European-level results showed increases in CSF ratings for most countries. Negative adaptation ratings were mostly due to forest damages. We discuss the limitations of the indicator approach, consider the broader context of international greenhouse gas reporting, and conclude with policy recommendations.

Climate-Smart Forestry (CSF) is a developing concept to help policymakers and practitioners develop focused forestry governance and management to adapt to and mitigate climate change. Within the EU COST Action CA15226, CLIMO (Climate-Smart Forestry in Mountain Regions), a CSF definition was developed considering three main pillars: (1) adaptation to climate change, (2) mitigation of climate change, and (3) the social dimension. Climate mitigation occurs through carbon (C) sequestration by trees, C storage in vegetation and soils, and C substitution by wood. However, present and future climate mitigation depends on the adaptation of trees, woods, and forests to adapt to climate change, which is also driven by societal change. Criteria and Indicators (C & I) can be used to assess the climate smartness of forestry in different conditions, and over time. A suite of C & I that quantify the climate smartness of forestry practices has been developed by experts as guidelines for CSF. This chapter charts the development of this definition, presents initial feedback from forest managers across Europe, and discusses other gaps and uncertainties, as well as potential future perspectives for the further evolution of this concept.

Implementing the Climate-Smart Forestry (CSF) concept into practice requires interaction among key stakeholders, especially forest owners and managers, policymakers (or regulators in general), forest consultants, and forest users. But what could be the most effective policy instruments to achieve climate smartness in mountain forests? Which ones would be the most acceptable for forest owners? And for the local forest communities? Should they be designed and implemented with the use of participatory approaches or rather on a top-down basis? This chapter summarizes key policy instruments structured in three subsequent categories: command-and-control, voluntary market-based instruments, and community cooperation. It provides examples of their functioning in the forestry sector and discusses their suitability for the implementation of climate smart forestry. It appears that there are many policy instruments used with varying degrees of success such as forest concessions or voluntary certification schemes. A wide range of instruments are responding to direct regulation; this has been seen as insufficient to deal with natural hazards and calamities.

Climate-Smart Forestry (CSF) is an emerging branch of sustainable forest management that aims to manage forests in response to climate change. Specific CSF strategies are viewed as a way forward for developing suitable management responses and enhancing the provision of ecosystem services. However, there is currently a lack of comprehensive and cohesive assessment to implement CSF. This paper describes the step-by-step process that developed a comprehensive and shared definition of CSF, and the process for selecting indicators that assess the "climate-smartness" of forest management. Adaptation, mitigation and social dimensions are the core focus of the CSF definition, which recognises the need to integrate and avoid development of these aspects in isolation. An iterative participatory process was used with a range of experts in forest-related fields from the CLIMO project, this was subsequently supported by a network analysis to identify sustainable forest management indicators important to CSF. The definition developed here, is an important first step in to promote CSF that will aid practice in the forestry sector. It can be used as a template across Europe, tailored to local contexts. Further work communicating CSF to practitioners and policy-makers will create a CSF practice and culture that will help to safeguard future forest economies and communities.

Mixed forests are thought to provide a wide range of ecosystem services for human well-being and their effectiveness, compared to monocultures, is broadly recognized in the literature. Mixed forests may increase the multifunctionality, providing a wide range of ecosystem services such as hazard protection, carbon sequestration, nature conservation and landscape values. Before undertaking a process of conversion of monocultures into mixed forests it is important to learn about perceptions of local stakeholders for mixed forests in comparison to monocultures, in order to understand their needs and identify possible sources of conflicts. In the present work, we investigate the personal perceptions about the effectiveness of mixed forests when compared to monocultures, in terms of provisioning of ecosystem services, with the aid of an ordered logit model. In addition, we highlight the fact that belonging to a particular category of organized stakeholders contribute to perceive mixed forests positively, compared to non-organized local dwellers. Results show that people acknowledging the importance of some non-productive forest ecosystem services are more likely to prefer mixed forests. Moreover, personal attitudes towards ecosystem services seem to be much more related to the degree of preference for mixed forests than other socio-economic variables, such as gender and education. Finally, another evidence of this contribution is that belonging to a precisely defined group of stakeholders considerably increases the probability to prefer mixed forests, compared to ordinary citizens.

Aim of study: We aim at (i) developing a reference definition of mixed forests in order to harmonize comparative research in mixed forests and (ii) review the research perspectives in mixed forests.Area of study: The definition is developed in Europe but can be tested worldwide.Material and Methods: Review of existent definitions of mixed forests based and literature review encompassing dynamics, management and economic valuation of mixed forests.Main results: A mixed forest is defined as a forest unit, excluding linear formations, where at least two tree species coexist at any developmental stage, sharing common resources (light, water, and/or soil nutrients). The presence of each of the component species is normally quantified as a proportion of the number of stems or of basal area, although volume, biomass or canopy cover as well as proportions by occupied stand area may be used for specific objectives. A variety of structures and patterns of mixtures can occur, and the interactions between the component species and their relative proportions may change over time.The research perspectives identified are (i) species interactions and responses to hazards, (ii) the concept of maximum density in mixed forests, (iii) conversion of monocultures to mixed-species forest and (iv) economic valuation of ecosystem services provided by mixed forests.Research highlights: The definition is considered a high-level one which encompasses previous attempts to define mixed forests. Current fields of research indicate that gradient studies, experimental design approaches, and model simulations are key topics providing new research opportunities.Keywords: COST Action; EuMIXFOR; mixed-species forests; admixtures of species.