Errors in ozone risk assessment using standard conditions for converting ozone concentrations obtained by passive samplers in mountain regions

Passive samplers are often employed to measure ozone concentrations in remote areas such as mountain forests. The potential ozone risk for vegetation is then assessed by calculating the AOT40 exposure index (accumulated hourly ozone concentration exceedances above 40 ppb, i.e. AOT40 = Σ([O(3)] - 40)Δt for any hourly ozone concentration [O(3)] > 40 ppb). AOT40 is customary calculated on the basis of ozone concentrations expressed as a volumetric mixing ratio, while lab sheets normally report ozone concentrations from passive samplers in mass units per cubic metre. Concentrations are usually converted from mass units to ppb using a standard conversion factor taking SATP (Standard Ambient Temperature and Pressure) conditions into account. These conditions, however, can vary considerably with elevation. As a consequence, the blanket application of a standard conversion factor may lead to substantial errors in reporting and mapping ozone concentrations and therefore in assessing potential ozone risk in mountain regions. In this paper we carry out a sensitivity analysis of the effects of uncertainties in estimations of air temperature (T) and atmospheric pressure (P) on the concentration conversion factor, and present two examples from two monitoring and mapping exercises carried out in the Italian Alps. We derived P and T at each site from adiabatic lapse rates for temperature and pressure and analysed the magnitude of error in concentration estimations. Results show that the concentration conversion is much more sensitive to uncertainties in P gradient estimation than to air temperature errors. The concentration conversion factor (cf) deviates 5% from the standard transformation at an elevation of 500 m asl. As a consequence, the standard estimated AOT40 at this elevation is about 13% less than the actual value. AOT40 was found to be underestimated by an average between 25% and 34% at typical elevations of mountain forest stands in the Italian Alps when a correct conversion factor for transforming ozone concentrations from μg m(-3) to ppb is not applied.     

Behavioural interference between ungulate species: roe are not on velvet with fallow deer

Interference is expected to occur at feeding areas between species with a similar diet, but few studies have tested this idea for wild ungulates. We analysed interactions between fallow deer, European roe deer and wild boar, in three sites, in a Mediterranean area. We expected that interference should be greater between deer than between them and wild boar. We documented the negative effects of behavioural interference by fallow on foraging behaviour of roe deer, under field conditions. Deer species built up 90% interference interactions, with fallow always dominant on roe, also through direct aggression. Although roe deer decreased feeding and increased vigilance levels in proximity (<50 m) of either fallow deer or wild boar, they were displaced significantly more often by the former than by the latter. Fallow deer were neither displaced nor alarmed by roe and rarely by wild boar. No deer species displaced wild boar. Interference was significantly greater on solitary roe deer, especially females, in spring and roe left the feeding ground most often in the smallest site (13 ha). Roe deer avoided areas where the local density of fallow deer was the highest. During our 4-year-study, roe deer density decreased whereas fallow deer numbers increased. Behavioural interference may explain how fallow deer outcompete roe deer through spatial exclusion from feeding sites and avoidance of areas with high densities of the former. Fallow deer evolved in semi-arid, relatively poor habitats of Asia Minor: interspecific defence of crucial resources could have developed as a beneficial tactic for its survival.     

Vehicle-Induced Lead and Cadmium Contamination of Roadside Soil and Plants in Italy

Lead and cadmium concentrations in spontaneous vegetation and in soil sampled at various distances (0–208 m) from several motorways throughout Italy were measured. Lead and cadmium concentrations appear to be correlated to distance from the motorway and to traffic levels. A comparison with data from a remote and unpolluted site shows that foliar lead concentrations can be up to 40 times higher, and foliar cadmium concentrations up to 3 times higher. Plants behave differently in their accumulation of lead and cadmium; conifers present the highest levels. Also the various receptors and compartments of the roadside ecosystem differ in their accumulation of lead and cadmium; soil and bark have consistently higher concentrations, while the leaves and twigs of trees have consistently lower levels. the data recorded by ad hoc introduced bio-accumulating plants (Lolium multiflorum L.) are consistent with those of the spontaneous vegetation. the concentrations of both lead and cadmium in Lolium vary from June to November, following in part the fluctuation in traffic density.     

Towards the harmonization between National Forest Inventory and Forest Condition Monitoring. Consistency of plot allocation and effect of tree selection methods on sample statistics in Italy

In the frame of a process aiming at harmonizing National Forest Inventory (NFI) and ICP Forests Level I Forest Condition Monitoring (FCM) in Italy, we investigated (a) the long-term consistency between FCM sample points (a subsample of the first NFI, 1985, NFI_1) and recent forest area estimates (after the second NFI, 2005, NFI_2) and (b) the effect of tree selection method (tree-based or plot-based) on sample composition and defoliation statistics. The two investigations were carried out on 261 and 252 FCM sites, respectively. Results show that some individual forest categories (larch and stone pine, Norway spruce, other coniferous, beech, temperate oaks and cork oak forests) are over-represented and others (hornbeam and hophornbeam, other deciduous broadleaved and holm oak forests) are under-represented in the FCM sample. This is probably due to a change in forest cover, which has increased by 1,559,200 ha from 1985 to 2005. In case of shift from a tree-based to a plot-based selection method, 3,130 (46.7 %) of the original 6,703 sample trees will be abandoned, and 1,473 new trees will be selected. The balance between exclusion of former sample trees and inclusion of new ones will be particularly unfavourable for conifers (with only 16.4 % of excluded trees replaced by new ones) and less for deciduous broadleaves (with 63.5 % of excluded trees replaced). The total number of tree species surveyed will not be impacted, while the number of trees per species will, and the resulting (plot-based) sample composition will have a much larger frequency of deciduous broadleaved trees. The newly selected trees have—in general—smaller diameter at breast height (DBH) and defoliation scores. Given the larger rate of turnover, the deciduous broadleaved part of the sample will be more impacted. Our results suggest that both a revision of FCM network to account for forest area change and a plot-based approach to permit statistical inference and avoid bias in the tree sample composition in terms of DBH (and likely age and structure) are desirable in Italy. As the adoption of a plot-based approach will keep a large share of the trees formerly selected, direct tree-by-tree comparison will remain possible, thus limiting the impact on the time series comparability. In addition, the plot-based design will favour the integration with NFI_2.     

Estimates of ozone AOT40 from passive sampling in forest sites in South-Western Europe

Weekly-fortnightly ozone (O3) concentrations measured by passive sampling at 81 forest monitoring plots in France, Italy, Spain and Switzerland over the period 2000-2002 were used to estimate the cumulative exposure index AOT40. The estimation method is based on a deterministic model which describes the O3 daily profile as a function of relative altitude (the difference between the altitude of the site and the lowest altitude within a 5 km radius) and the time of the day. Estimated AOT40 values (AOT40(e)) were evaluated against co-located automatic measurement stations and with 14 independent automatic stations located throughout Italy whose weekly mean O3 values were used to simulate passive samplers. AOT40 can be predicted by modelling passive sampling data (R2: 0.90; P<0.0001, SE of estimates: 3271 ppb h), although considerable deviations can occur for individual sites. Estimated AOT40 shows a distinct, significant latitudinal and altitudinal gradient. Taking the 3-year average as a whole, exceedance of critical level of 5000 ppb h occurs at 77-100% of the monitored sites, respectively.     

Perception of Forest Values in the Alpine Community of Trentino Region (Italy)

Values are generally defined as social facts that orientate individual and collective actions, and consequently influence political, economic and social systems. The evaluation of natural resource values is considered an important instrument to support decision making in environmental policy. The forest is an important renewable resource that provides a mix of social, economic and environmental values for society. The paper presents a survey method to collect and analyse individual preferences relating to three macro-categories of forest values. The survey method was tested in the Trentino region (north-east of the Italian Alps) and will soon be extended to other areas. The results of the questionnaires provided evidence that the forest economic value is perceived as least important, while the environmental values were appreciated the most. Regarding the principle social variables, males tended to give higher scores to all three macro-categories compared to females. Moreover, people with a low education also gave higher scores to all three categories in comparison to the more educated individuals.     

Assessment of ozone visible symptoms in the field: perspectives of quality control

The second UN/ECE ICP-Forests Intercalibration Course on the Assessment of Ozone Injury on European Tree Species was carried out in August 2001 at Lattecaldo (Canton Ticino, CH) and Moggio (Lombardy, I). Forty-eight experts from several European countries participated in the exercises and assessed visible symptoms of ozone injury both in open-top chambers (OTC) (Lattecaldo) and under open field (Moggio) conditions. Evaluation of the results indicated a large variability among the teams and call for adequate training of the observers prior to symptom assessment for quality assurance purposes. Highest variability was found for the species developing unclear symptoms which could be confused with senescence processes; such species should not be used in the field. The authors provide suggestions to improve the reliability of the ozone injury assessment on forest plant species.     

Crown condition surveys in Italian forests: issues in reporting findings

This study examines defoliation and discoloration findings collected throughout the Italian Level I network between 1997 and 2000. Prior to this period no Quality Assurance procedures had been implemented, so that earlier findings cannot be considered reliable. The aim of the study is to compare differentindices used in reporting findings, in order to determine the full potential and limitations of each. In international surveys,findings are normally expressed in terms of individual trees presenting a defoliation level greater than 2 %; this criterion,however, has been challenged since it is not based on scientificevidence. By analysing the distribution of defoliation values(grouped in 5% classes) relating to the main species (Fagus sylvatica, Quercus pubescens, Quercus cerris, Picea abies), the study examines the behaviour of statistical indices such as the median, the mode and the mean. Instead of using the traditional 25% threshold to determine the part of the population with the highest defoliation values, a procedureis suggested whereby a different threshold can be determined foreach species. It is established based on the 90° percentile of cumulative defoliation values recorded over the four-year period. Each index used to report findings possessesits own information potential, and the findings may at times appear contradictory. The use of a combined defoliation and discoloration index (Ilce = Lacking Crown Equivalent Index) is also proposed, but the results obtained do not differin substance from the results relating to defoliation alone. Thefunctional limitations of this index are due mainly to the way the data are collected: for this reason suggestions are made onhow to improve the procedure in future surveys.     

A multidisciplinary study on the effects of climate change in the northern Adriatic Sea and the Marche region (central Italy)

An integrated analysis of recent climate change (including atmosphere, sea and land), and social reaction and adaptation, was conducted in central Italy and the northern portion of the Adriatic Sea. The collected environmental data included meteorological, oceanographic, and river gauges stations, covering the time period 1961–2009. Social data included 800 questionnaires and interviews carried out on selected samples of residents, decision-makers, and emergency managers. The trend analysis of air temperature data detailed an overall increase in all seasons, whereas rainfall data showed decrease in winter, spring, and summer, and increase in autumn, influencing river flow changes. Marine data showed a warming of the water column after the year 1990, particularly relevant in the cold season. Surface salinity increased in spring and summer and strongly decreased in autumn and also in winter (due to the spreading over the basin of the increased autumnal river runoff). These changes, combined with anthropogenic effects, appear to influence the northern Adriatic marine environment and ecosystems. Impacts in the coastal areas are also evident inland; the analysis of Aridity index, and potential water deficit, suggests negative impacts in terms of soil deterioration and agricultural productivity, particularly in the area near the coastline. At the same time, the analysis of social data revealed awareness among local residents of these impacts and associated risks connected to climate change. Yet, this awareness is not currently translated into preventive and protective actions; among the main reasons for this delay is also ineffective information exchange among citizens, public administrators, and the scientific community.