The ICP forests Level I biodiversity data. A harmonized data source and baseline for plant species and structural diversity on european forest ecosystems

Structural and compositional biodiversity surveys on the ICP Forests extensive monitoring plots (Level I) have been incorporated into the ICP Forests database as LI-BioDiv dataset. Data were collected in the period 2005-2008 and delivered by 27 partners according to harmonized methods. During the integration process data was validated based on a complex system of checkroutines that had been defined before. Conflicts were solved in collaboration with the experts from National Focal Centres and the Expert Panels on Biodiversity and Ground Vegetation, and on Forest Growth. The LI-BioDiv dataset is structured in six forms: GPL (general plot location and information, 3340 plots), DBH (tree diameter, status, and composition, 3201 plots), THT (tree top and crown base height, 3083 plots), CAN (canopy closure, layers, number of trees, 3210 plots), DWD (deadwood, 2950 plots), and GVG (ground vegetation composition, 3124 plots). A transnational internal evaluation process was established and a set of items approved by the related Expert Panels and the ICP Forests Programme Co-ordinating Centre (PCC). Four working groups are producing the first results in terms of scientific papers; the other evaluation projects and the related groups of experts and scientists are described. Recommendations and lessons learned from this experience are shortly provided

Spatial and temporal patterns of plant diversity in the Italian forest monitoring network (CONECOFOR)

Since 1996, the Italian network CONECOFOR included Ground Vegetation (GV) within the forest monitoring actions, in the frame of ICP Forests. Plant diversity variables have been assessed yearly on 11 of the 31 sites of the intensive network (LII), while a unique survey was realized for the extensive network (LI) in 2007, within the Biosoil-Biodiversity project. CONECOFOR is presently undergoing a revision process aimed to assure the financial sustainability of reliable information on forest status and trends (SMART4Action, LIFE+ ENV project). We contribute to the project by analysing spatial and temporal patterns options for GV assessment. (i) Aims: suggest an affordable number of sites and the best sampling strategy to provide an overview of forest plant diversity within both LII and LI network. (ii) Objectives: estimate the effect of reduced sampling frequency and size, as well as different sampling designs on GV assessment. (iii) Methods: previous datasets are examined to test the conformity of LII vs. LI sites, to compare time-trend descriptors, and to estimate the critical number of sites and sampling units (SU). Field cross-surveys in next summer will compare different methods on selected sites. (iv) Considering LII sites (1999-2102), the reduction from annual to multiple-year surveys provides incomparable regression functions. The effect of reducing SUs numbers within LII sites is variable, due to different understory heterogeneity, and arousing misleading plant diversity description. LII hardly represents the spatial distribution achieved by LI reference (in 2007), due to the “preferential” selection used in the former network. A relevant reduction of LI sites can be achieved (almost 50%) maintaining the representativeness of plant species richness; relevant thresholds have been provided considering the stratification by Biogeographic Regions and the most relevant Forest types (Alpine conifers, Mountinous Beech, and Thermophilous deciduous forests). The experimental design of the comparative field test will be presented

Pan-European forest biodiversity monitoring through the ICP-level I network. First results from the BIOSOIL-BIODIVERSITY project

The Sustainable Development Goal 15 of the 2030 Agenda for Sustainable Development aims at "protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss". The EU Biodiversity Strategy contributes to the Goal 15 of the SDGs as its objective is to halt the loss of biodiversity and ecosystem services in Europe. Forest ecosystems are some of the most biodiverse habitats. For this reason, it is very important to specifically monitor temporal and spatial trends of biodiversity in order to find those areas more affected by biodiversity loss and to guide land management and conservation actions. A vast monitoring program covering the comprehensive concept of biodiversity would be impossible or at least financially prohibitive. Thus a successful and statistically rigorous monitoring program able to track changes over time and space must be based on indicators. Even if scientists have investigated a large number of compositional and structural biodiversity indicators, a clear consensus on the definition of the best set of indicators was not yet reached. In the framework of the two-years long BioSoil Forest Biodiversity Demonstration Project a large set of field data and information was acquired. The database includes data and information on living trees, deadwood and a complete vegetation survey. On the basis of raw data we calculated several forest biodiversity indicators and analysed their inter-relationships, and their variation in different forest types and environmental conditions. The analysis contributes to advance our knowledge towards the selection of an adequate set of forest biodiversity indicators to support the characterization of European Forest Types. The results provide a fundamental and consistent support for the future implementation of multi-scale assessments of forest biodiversity

Context-dependent plant traits drive fine-scale species persistence in old-growth forests

Questions: we studied old growth beech forest vegetation in Permanent Monitoring Plots (PMPs) located in Italy, with the following questions: is species turnover the main component of the observed changes or the present species assemblages is an impoverished sub-sets of the former ones?; 2) how compositional changes are reflected by specific plant functional traits? Location: we selected 4 PMPs (50 x 50 m) of the CONECOFOR network, placed along a latitudinal and climatic gradient in Italy, from south to north: CALABRIA03, CAMPANIA04, ABRUZZO01 and VENETO20. Methods: presence/absence of herb layer species were recorded in 100 permanent micro-plots of 50 x 50 cm over 12 years (1999-2011). For all sampled species we chose a set of 8 easy-to-measure functional traits. We compared the persistence, nestedness and turnover components of compositional changes. The role of plant traits explaining species persistence were analyzed by classification and regression tree. Results: Analysis in species diversity reveal antithetical ecological phenomena due to the diversity and complexity of the 4 different forest stands. ABRUZZO01 and CALABRIA03 show a clear nestedness trends over time with persistent species in ABR01 having higher seed mass and persistent species in CALABRIA03 having scleromorphic leaves and mesoporphic leaves, with large below-ground budbank. On the other hand, VENETO20 and CAMPANIA04 exibit a significant turnover trends over the 12 years characterized by persistent species in VENETO20 having helomorphic leaves, while in CAMPANIA04 large below-ground budbank and smaller SLA were the most important traits for species survival. Conclusion: Fine-scale approach highlight different mechanisms for the maintenance of species diversity in different complex forest systems driven significantly by specific traits, influenced by context-dependent factors

Actual and potential impact of air pollution on Italian forests: results from the long-term national forest monitoring networks under the ICP Forests

Actual and potential pressure and impacts of air pollution have been summarized by using the dataseries of the Italian forest monitoring networks (CONECOFOR), mostly on the basis of evaluations carried out within the LIFE project SMART4Action. Trends in air pollution shows only few important reductions (e.g.: sulphate and ozone). The impacts on forest health status, increments and standing volumes, plant diversity, soil and nutrient are discussed. Evidences of risk are also reported, mainly due to N deposition, on all the response factors

Electron and proton heating by solar wind turbulence

Previous formulations of heating and transport associated with strong magnetohydrodynamic (MHD) turbulence are generalized to incorporate separate internal energy equations for electrons and protons. Electron heat conduction is included. Energy is supplied by turbulent heating that affects both electrons and protons, and is exchanged between them via collisions. Comparison to available Ulysses data shows that a reasonable accounting for the data is provided when (i) the energy exchange timescale is very long and (ii) the deposition of heat due to turbulence is divided, with 60% going to proton heating and 40% into electron heating. Heat conduction, determined here by an empirical fit, plays a major role in describing the electron data

TRY plant trait database - enhanced coverage and open access

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Unimodal relationships of understory alpha and beta diversity along chronosequence in coppiced and unmanaged beech forests

Patterns of diversity across spatial scales in forest successions are being overlooked, despite their importance for developing sustainable management practices. Here, we tested the recently proposed U-shaped biodiversity model of forest succession. A chronosequence of 11 stands spanning from 5 to 400 years since the last disturbance was used. Understory species presence was recorded along 200 m long transects of 20 X 20 cm quadrates. Alpha diversity (species richness, Shannon and Simpson diversity indices) and three types of beta diversity indices were assessed at multiple scales. Beta diversity was expressed by a) spatial compositional variability (number and diversity of species combinations), b) pairwise spatial turnover (between plots Sorensen, Jaccard, and Bray-Curtis dissimilarity), and c) spatial variability coefficients (CV% of alpha diversity measures). Our results supported the U-shaped model for both alpha and beta diversity. The strongest differences appeared between active and abandoned coppices. The maximum beta diversity emerged at characteristic scales of 2 m in young coppices and 10 m in later successional stages. We conclude that traditional coppice management maintains high structural diversity and heterogeneity in the understory. The similarly high beta diversities in active coppices and old-growth forests suggest the presence of microhabitats for specialist species of high conservation value

Part VII.1: Assessment of Ground Vegetation.

This part of the Manual aims at providing a consistent methodology to collect high quality, harmonized and comparable forest ground vegetation data at selected UN/ECE ICP Forestsmonitoring plots. Harmonization of procedures is essential to enhance comparability of forest ground vegetation data. To have their data used in the international database and evaluations, National Focal Centres and their scientific partners participating to the UN/ECE ICP Forests programme should follow the methods described here

Clinical Classification of Bone Augmentation Procedure Failures in the Atrophic Anterior Maxillae: Esthetic Consequences and Treatment Options

Although the number of complications and failures in bone augmentation procedures is still relatively high, these problems remain poorly documented. Moreover, the literature concerning reconstructive techniques and the treatment of their complications in the anterior areas rarely considers the final esthetic result. The aim of this paper is to propose a new classification of bone augmentation complications in the esthetic area, providing treatment guidelines useful for the management of these cases. Failures of bony regeneration procedures can be mainly divided into partial failures and complete failures. A partial failure can be solved with a corrective surgical intervention: this second surgery can have success or may not be able to provide the desired esthetic result. When the bone reconstructive procedure fails totally, a complete failure occurs and the whole procedure has to be repeated. This new intervention can have success but also this new reconstructive surgery can fail in the same way as the first, causing important damage and a compromise solution that will hardly be acceptable from an esthetic point of view. Bone augmentation techniques are not completely predictable and are not always able to guarantee the expected result, especially in the atrophic anterior maxilla. Complications and failures can often occur and this possibility must always be clearly explained to those patients with high esthetic demands and expectations