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Pentachlorophenol (PCP) has been used worldwide as a wood preservative and pesticide. PCP toxicity and extensive use has placed it among the worst environmental pollutants, and therefore its microbiological degradation to develop bioremediation techniques has been intensively studied. The current study, part of a wider bioremediation project, is a long-term evaluation of the remediation ability of naturally selected microorganisms versus PCP in laboratory-scale experiments. The main aims of this thesis were: i) to define PCP sensitivity, adsorption and degradation of Byssochlamys nivea (Westling 1909), Scopulariopsis brumptii (Samson and Klopotek 1972) and Anthracophyllum discolor (Mont. Singer 1951) in microbiological culture media; ii) to test B. nivea and S. brumptii as antagonists against two Oomycetes: Phytophthora cinnamomi and Phytophthora cambivora; iii) to evaluate the response of an agricultural soil to PCP, with or without compost (biostimulation) and B. nivea and S. brumptii (bioaugmentation), in terms of effects of the contaminants on the main chemical, biochemical and biological soil properties. B. nivea and S. brumptii showed a good PCP tolerance (12.5 and 25 mg PCP L-1) although hyphal size, biomass, patulin and spore production decreased for increasing concentrations of PCP. It was shown that these two fungi can completely deplete 12.5 and 25 mg PCP L-1 in a submerged culture after 28 days of incubation at 28 °C. Electrolyte Leakage Assays showed that the fungi have a good tolerance at 25 mg PCP L-1. B. nivea and S. brumptii were able to inhibit the growth of P. cinnamomi and P. cambivora on solid media and in liquid culture. Volatile organic compounds (VOCs) did not produce growth reduction of oomycetes strains. The PCP that was adsorbed by A. discolor pellets was >80% compared to pH values of 5 and 5.5, which were the two concentrations being analyzed. PCP adsorption significantly decreased in a medium of pH > 6.0. The Infrared Spectroscopy (FTIR) results showed that amides, alkanes, carboxylates, carboxyl and hydroxyl groups may possibly be important to the PCP adsorption for pellets of A. discolor . In microcosm soil experiment, the addition of PCP severely depressed some of the tested biochemical properties (i.e. microbial biomass, soil respiration, dehydrogenase activity and fluorescein diacetate hydrolysis) suggesting an inhibitory effect on microbial activity. The compost had a buffer effect against the PCP, limiting the decrease of soil biochemical activity vs. of the control. After 28 day of incubations the compost and the fungal strains reduced of 95% the extractable PCP. The natural fresh soil showed a good capacity of reduction of extractable PCP (88%). The main soil processes (i.e. microbial degradation, biostimulation by compost and sorption to organic matter) were likely occurred in the contaminated soil when was added PCP and are involved in PCP depletion. Our results indicate that B. nivea and S. brumptii have an interesting potential for bioremediation and biocontrol strategy. A. discolor may be used as a natural biosorbent for liquid solutions which are contaminated by PCP.

Context Urbanization and its associated impacts on biodiversity are increasing globally. There is a need to enhance our understanding of species responses to inform strategies for sustainable urbanization. Objectives Three extensive bird monitoring campaigns took place over the last three decades in the city of Naples, Italy, providing a comprehensive longitudinal dataset to analyse occurrence trends of urban birds. We aimed to assess both species-specific and assemblage-level changes in urban birds according to land cover dynamics. Methods We extracted bird data for the periods 1990–95, 2000–05, and 2014–18, and explored the spatial and temporal relationships between bird presence/avian assemblage composition, and land cover variation. Results The species richness of breeding birds remained stable over time, despite a notable species turnover, influenced by changes in the species’ key land cover classes. Species associated with forest and urban land cover tended to colonise the area, while those dependent on abandoned and cultivated areas decreased or went locally extinct. Birds changed their degree of dependence upon their key habitat type over time, as species from marginal and open habitat types needed larger amounts of habitat to persist within the area, while forest species showed an opposite trend. Conclusions Habitat-driven changes in avian assemblages within the urban landscape led to an increase in forest-associated species, and a decrease in birds associated with declining habitat types. Our findings may inform urban planning to promote more wildlife-friendly cities, which for our study area should prioritise open and marginal habitats.

Fagus sylvatica is one of the most representative trees of the European deciduous broadleaved forests, yet the impact of changing climatic conditions and anthropogenic pressures (anthromes) on its presence and distribution in the coastal and lowland areas of the Mediterranean Basin has long been overlooked. Here, we first analysed the local forest composition in two different time intervals (350–300 Before Current Era, BCE and 150–100 BCE) using charred wood remains from the Etruscan site of Cetamura (Tuscany, central Italy). Additionally, we reviewed all the relevant publications and the wood/charcoal data obtained from anthracological analysis in F. sylvatica, focusing on samples that date back to 4000 years before present, to better understand the drivers of beech presence and distribution during the Late Holocene (LH) in the Italian Peninsula. Then, we combined charcoal and spatial analyses to test the distribution of beech woodland at low elevation during LH in Italy and to evaluate the effect of climate change and/or anthrome on the disappearance of F. sylvatica from the lowlands. We collected 1383 charcoal fragments in Cetamura belonging to 21 woody taxa, with F. sylvatica being the most abundant species (28 %), followed by other broadleaved trees. We identified 25 sites in the Italian Peninsula with beech charcoals in the last 4000 years. Our spatial analyses showed a marked decrease in habitat suitability of F. sylvatica from LH to the present (ca. 48 %), particularly in the lowlands (0–300m above sea level, a.s.l.) and at higher altitudes (>900 m a.s.l). In the lowland areas, where F. sylvatica has disappeared, climate had a more uniform effect on beech distribution patterns across the entire elevation range analysed, whereas climate+anthrome and anthrome alone influenced 69 % and 84 % of the lowland areas, respectively.

Simple Summary Bioindicators are organisms that react to the quality or characteristics of the environment and their changes. They are vitally important to track environmental alterations and take action to mitigate them. As choosing the right bioindicators has important policy implications, it is crucial to select them to tackle clear goals rather than selling specific organisms as bioindicators for other reasons, such as for improving their public profile and encourage species conservation. Bats are a species-rich mammal group that provide key services such as pest suppression, pollination of plants of economic importance or seed dispersal. Bats show clear reactions to environmental alterations and as such have been proposed as potentially useful bioindicators. Based on the relatively limited number of studies available, bats are likely excellent indicators in habitats such as rivers, forests, and urban sites. However, more testing across broad geographic areas is needed, and establishing research networks is fundamental to reach this goal. Some limitations to using bats as bioindicators exist, such as difficulties in separating cryptic species and identifying bats in flight from their calls. It is often also problematic to establish the environmental factors that influence the distribution and behaviour of bats. Abstract Bats show responses to anthropogenic stressors linked to changes in other ecosystem components such as insects, and as K-selected mammals, exhibit fast population declines. This speciose, widespread mammal group shows an impressive trophic diversity and provides key ecosystem services. For these and other reasons, bats might act as suitable bioindicators in many environmental contexts. However, few studies have explicitly tested this potential, and in some cases, stating that bats are useful bioindicators more closely resembles a slogan to support conservation than a well-grounded piece of scientific evidence. Here, we review the available information and highlight the limitations that arise in using bats as bioindicators. Based on the limited number of studies available, the use of bats as bioindicators is highly promising and warrants further investigation in specific contexts such as river quality, urbanisation, farming practices, forestry, bioaccumulation, and climate change. Whether bats may also serve as surrogate taxa remains a controversial yet highly interesting matter. Some limitations to using bats as bioindicators include taxonomical issues, sampling problems, difficulties in associating responses with specific stressors, and geographically biased or delayed responses. Overall, we urge the scientific community to test bat responses to specific stressors in selected ecosystem types and develop research networks to explore the geographic consistency of such responses. The high cost of sampling equipment (ultrasound detectors) is being greatly reduced by technological advances, and the legal obligation to monitor bat populations already existing in many countries such as those in the EU offers an important opportunity to accomplish two objectives (conservation and bioindication) with one action.

Bats are often unfairly depicted as the direct culprit in the current COVID-19 pandemic, yet the real causes of this and other zoonotic spillover events should be sought in the human impact on the environment, including the spread of domestic animals. Here, we discuss bat predation by cats as a phenomenon bringing about zoonotic risks and illustrate cases of observed, suspected or hypothesized pathogen transmission from bats to cats, certainly or likely following predation episodes. In addition to well-known cases of bat rabies, we review other diseases that affect humans and might eventually reach them through cats that prey on bats. We also examine the potential transmission of SARS-CoV-2, the causal agent of COVID-19, from domestic cats to bats, which, although unlikely, might generate a novel wildlife reservoir in these mammals, and identify research and management directions to achieve more effective risk assessment, mitigation or prevention. Overall, not only does bat killing by cats represent a potentially serious threat to biodiversity conservation, but it also bears zoonotic implications that can no longer be neglected.

Wildfires shape ecosystems globally, yet little is known on their effects on wildlife distribution and spatial behaviour. We used bats as models to test the effects of fire on ecosystems because they are multi-habitat specialists and feature ecological and life traits such as behavioural plasticity and longevity that make them able to respond to both short- and long-term environmental changes. We aimed at testing the effects of a severe wildfire on a Mediterranean bat assemblage in terms of occupancy, activity and individual fitness. Here, we measure the effects of fire on activity levels and occupancy by a Mediterranean bat assemblage at the Vesuvius National Park, in Southern Italy, over 4 years, encompassing a year when a severe wildfire occurred. By comparing bat occurrence and activity at burnt versus unburnt sites with a Before-After/Control-Impact approach, we found that bat responses to wildfires are species specific and depend on the time elapsed since the fire. Species that rely more strongly on forest areas showed a strong short-term adverse response in terms of occupancy and activity, while species adapted to open habitats showed no response 1 year after the wildfire. However, most species showed a general positive effect due to the passage of fire 2 years after its occurrence, probably because of vegetation regrowth. The wildfire event was also associated with reduced reproduction in at least one species, and to worse individual body conditions 1 year after the wildfire. Our results show that most bats in a Mediterranean ecosystem show resilience to the occurrence of fire, yet many species show negative short-term responses by altering their spatial behaviour and decreasing their investment in reproduction. Future increases in fire occurrence and intensity due to climate change may alter bat assemblages and impair population viability in the long term, hampering the fundamental ecosystem services provided by structured bat communities.

Bats are major consumers of arthropods, and there is ever growing evidence that they play a pivotal role in the fight against agricultural pests. However, relatively little research has addressed explicitly this important topic, and studies in temperate regions (especially European case studies) are infrequent. In the last few years, state-of-art molecular methods to identify prey remains in droppings and new experimental approaches to assess the actual magnitude of this ecosystem service have opened new perspectives in research. In this review, we discuss such aspects with an emphasis on temperate regions, and identify new research frontiers. These comprise: (1) detecting new bat species that consume pests, and further pest insects that bats might eat; (2) exploring sublethal effects of bat echolocation calls on tympanate moth pests; (3) getting a better understanding of bat predation over blood-sucking arthropods that parasitize livestock; (4) unveiling indirect effects of bat predation on plant pathogens; (5) implementing models to map the occurrence of bat insectivory and the potential to promote it; and (6) analyse bat droppings for active surveillance of arthropod pests and the diseases they carry. We also highlight that so-called “common” bat species, often neglected in conservation actions, are likely to provide the bulk of pest suppression in agroecosystems. All such aspects merit investigation and may lead to novel management practices aimed at conjugating bat conservation with economic and social sustainability of farming.

Artificial light at night (ALAN) is a pervasive form of pollution largely affecting wildlife, from individual behaviour to community structure and dynamics. As nocturnal mammals, bats are often adversely affected by ALAN, yet some "light-opportunistic" species exploit it by hunting insects swarming near lights. Here we used two potentially competing pipistrelle species as models, Kuhl's (Pipistrellus kuhlii) and common (Pipistrellus pipistrellus) pipistrelles, both known to forage in artificially illuminated areas. We set our study in a mountainous area of central Italy, where only recently did the two species become syntopic. We applied spatial modelling and radiotracking to contrast potential vs. actual environmental preferences by the two pipistrelles. Species distribution models and niche analysis showed a large interspecific niche overlap, including a preference for illuminated areas, presenting a potential competition scenario. Pipistrellus pipistrellus association with ALAN, however, was weakened by adding P.kuhlii as a biotic variable to the model. Radiotracking showed that the two species segregated habitats at a small spatial scale and that P.kuhlii used artificially illuminated sites much more frequently than P.pipistrellus, despite both species potentially being streetlamp foragers. We demonstrate that ALAN influences niche segregation between two potentially competing species, confirming its pervasive effects on species and community dynamics, and provide an example of how light pollution and species' habitat preferences may weave a tapestry of complex ecological interactions.

We generated a risk map to forecast the potential effects of the spreading of zebra mussels Dreissena polymorpha across the Italian territory. We assessed the invader’s potential impact on rivers, lakes, watersheds and dams at a fine-grained scale and detected those more at risk that should be targeted with appropriate monitoring. We developed a MaxEnt model and employed weighted overlay analyses to detect the species’ potential distribution and generate risk maps for Italy. D. polymorpha has a greater probability of occurring at low to medium altitudes in areas characterised by fluviatile deposits of major streams. Northern and central Italy appear more at risk. Some hydroelectric power dams are at high risk, while most dams for irrigation, drinkable water reservoirs and other dam types are at medium to low risk. The lakes and rivers reaches (representing likely expansion pathways) at medium-high or high risk mostly occur in northern and central Italy. We highlight the importance of modelling potential invasions on a country scale to achieve the sufficient resolution needed to develop appropriate monitoring plans and prevent the invader’s harmful effects. Further high-resolution risk maps are needed for other regions partly or not yet colonised by the zebra mussel.

We assessed whether the presence and abundance of plant pathogens and antagonists change in soil fungal communities along a land abandonment gradient. The study was carried out in the Cilento area (Southern Italy) at a site with three different habitats found along a land abandonment gradient: agricultural land, Mediterranean shrubland and woodland. For all microbiological substrates the colony forming units were about 3.1 × 106 g−1 soil for agricultural land and about 1.1 × 106 g−1 soil for Mediterranean shrubland and woodland. We found the following genera in all habitats: Cladosporium, Mortierella, Penicillium and Trichoderma. In agricultural land, the significantly most abundant fungus genera were Aspergillus, Fusarium, Cylindrocarpon and Nectria; in Mediterranean shrubland, Rhizopus and Trichoderma; and in woodland, Bionectria, Mortierella, Cladosporium, Diplodia, Paecilomyces, Penicillium and Trichoderma. We found a total of 8, 8 and 9 species of fungal antagonist, and 16, 6 and 6 species of fungal plant pathogens in agricultural land, Mediterranean shrubland and woodland respectively. Fungal plant pathogens decreased significantly over a land abandonment gradient, while we no found significant differences among fungal antagonists in the three habitats. We conclude that a decrease in the number of fungal pathogen species occurs when formerly cultivated areas are abandoned. On the other hand, fungal antagonists seem not to be affected by this process.

Soil bioengineering techniques to repair slope failures and increase slope stability are often used, if possible, as alternatives to traditional structures in order to mitigate the environmental impact without losing the effectiveness of the work. These techniques use live plants and entrust most of their structural resistance to wood members whose mechanical characteristics, however, decrease with time. Very few investigations have dealt with the decay of mechanical characteristics of wood elements employed in soil bioengineering techniques and lifetime predictions. This information is also important for durability forecasting. In this paper we present the results of experimental analyses carried out to evaluate the degradation of mechanical properties of untreated timber elements, which were collected from single and double live cribwalls or check-dams built about 10 years ago in the Vesuvius National Park (Naples, Southern Italy). To help in adequately interpreting the behavior of a complex material such as wood, a novelty of this study is not only the coupling of the ultrasonic and sclerometric nondestructive testing (NDT) methods so as to reduce measurement errors, but also to frame the outcomes from mechanical tests within the biological analysis of fungi detected on the timbers. Exploratory statistical analyses have revealed that there exist nearly no correlations between moisture contents in the timber elements and both transversal and longitudinal ultrasonic velocities, but some clustering provides insights in the results obtained. Comparisons between results using data measured on “old” and “new” timber elements enable some evaluations of residual safety factor assessment to be carried out.

Human-induced alterations of ecosystems and environmental conditions often lead to changes in the geographical range of plants and animals. While modelling exercises may contribute to understanding such dynamics at large spatial scales, they rarely offer insights into the mechanisms that prompt the process at a local scale. Savi’s pipistrelle (Hypsugo savii) is a vespertilionid bat widespread throughout the Mediterranean region. The species’ recent range expansion towards northeastern Europe is thought to be induced by urbanization, yet no study actually tested this hypothesis, and climate change is a potential alternative driver. In this radio-telemetry study, set in the Vesuvius National Park (Campania region, Southern Italy) we provide insights into the species’ thermal physiology and foraging ecology and investigate their relationships with potential large-scale responses to climate, and land use changes. Specifically, we test whether H. savii i) exploits urbanisation by selecting urban areas for roosting and foraging, and ii) tolerates heatwaves (a proxy for thermophily) through a plastic use of thermoregulation. Tolerance to heatwaves would be consistent with the observation that the species’ geographic range is not shifting but expanding northwards. Tracked bats roosted mainly in buildings but avoided urban habitats while foraging, actively selecting non-intensive farmland and natural wooded areas. Hypsugo H. savii showed tolerance to heat, reaching the highest body temperature ever recorded for a free-ranging bat (46.5 °C), and performing long periods of overheating. We conclude that H. savii is not a strictly synurbic species because it exploits urban areas mainly for roosting, and avoids them for foraging: this questions the role of synurbization as a range expansion driver. On the other hand, the species’ extreme heat tolerance and plastic thermoregulatory behaviour represent winning traits to cope with heatwaves typical of climate change-related weather fluctuations.

Fire is a major disturbance that affects ecological communities, and when fire events increase in frequency or extent, they may jeopardise biodiversity. Although long-term studies are irreplaceable to understand how biological communities respond to wildfires, a rapid, efficient assessment of the consequences of wildfire is paramount to inform habitat management and restoration. Although Species Distribution Models (SDMs) may be applied to achieve this goal, they have not yet been used in that way. In summer 2017, during an extended drought that affected Italy, a severe wildfire occurred in the Vesuvius National Park (southern Italy). We applied SDMs to assess how much potential habitat was lost by the 12 bat species occurring in the area because of the wildfire, and whether habitat fragmentation increased following the event. Our analysis supported the hypotheses we tested (i.e. that the fire event potentially affected all species through habitat reduction and fragmentation) and that the bat species potentially most affected were those adapted to foraging in cluttered habitat (forest). We show that SDMs are a valuable tool for a first, rapid assessment of the effects of large-scale wildfires, and that they may help identify the areas that need to be monitored for animal activity and phenology, and to assist in saving human and financial resources.

Predation by native species is a chief resistance factor that may counter the spread of alien organisms. Its comprehension plays therefore an important role to assess the impact of biological invasions and implement management. In this study, we show for the first time that red foxes (Vulpes vulpes) may depredate nests of alien pond sliders (Trachemys scripta). We set our work in a Mediterranean area of Southern Italy where both species are frequent. We observed that red foxes excavated pond slider nests to eat the eggs. We then used a molecular approach to demonstrate the presence of pond slider’s DNA in the carnivore’s scats, and found that pond slider’s DNA occurred in over half of the scat sample collected during the oviposition season. Whether egg consumption by red foxes is widespread rather than only a local response and might eventually lead to population control of pond sliders needs further investigation.

Phenology is a key feature in the description of species niches to capture seasonality in resource use and climate requirements. Species distribution models (SDMs) are widespread tools to evaluate a species’ potential distribution and identify its large-scale habitat preferences. Despite its chief importance, data phenology is often neglected in SDM development. Non-migratory bats of temperate regions are good model species to test the effect of data seasonality on SDM outputs because of their different roosting preferences between hibernation and reproduction. We hypothesized that (1) the output of SDMs developed for six non-migratory European bat species will differ between hibernation and reproduction; (2) models built from datasets encompassing both ecological stages will perform better than seasonal models. We employed a dataset of 470 independent occurrences of bat hibernacula and 400 independent records of nursery roosts of selected species and for each species we developed separate winter, summer and mixed (i.e. generated from both winter and summer occurrences) models. Seasonal and mixed potential ranges differed from each other and the direction of this difference was species-specific. Mixed models outperformed seasonal models in representing species niches. Our work highlights the importance of considering data seasonality in the development of SDMs for bats as well as many other organisms, including non-migratory species, otherwise the analysis will lead to significant biases whose consequences for conservation planning and landscape management may be detrimental.

Species Distribution Models (SDMs) may provide important information for the follow-up phase of reintroduction operations by identifying the main areas most likely to be colonized by the reintroduced species. We used SDMs to identify the potential distribution of Eurasian beavers (Castor fiber) reintroduced to Serbia and Bosnia and Herzegovina in 2004–2006 after being historically driven to extinction by overhunting. Models were also used to carry out a gap analysis to assess the degree of protection granted by the national reserve networks to the potentially expanding population. Distances from hydrographic network, broadleaved forest, main watercourses and farmland were the main factors influencing model performance. We estimated that suitable habitat covers 14.0% (31,000 km2) of the whole study area. In Serbia, in 2004–2013 beavers expanded their range at a mean colonization speed of 70.9 ± 12.8 km/year (mean ± SD). Only 2.89% of and 9.72% of beaver’s suitable habitat lie within the national network of protected areas of Bosnia and Serbia respectively. We detected new potential areas where beavers will likely settle in the near future, advising on where further monitoring should be carried out. We also identified low suitability areas to be targeted with appropriate management to improve their conditions as well as important regions falling outside reserve boundaries to which protection should be granted.

Species distribution models (SDMs) provide realistic scenarios to explain the influence of bioclimatic variables on plant pathogen distribution. Diplodia sapinea is most harmful to plantations of both exotic and native pine species in Italy, causing economic consequences expecially to edible seed production. In this study, we developed maximum entropy models for D. sapinea in Italy to reach the following goals: (i) to carry out the pathogen’s first geographical distribution analysis in Italy and determine which eco-geographical variables (EGVs) may influence its outbreaks; (ii) to detect the effect of climate change on the potential occurrence of disease outbreaks by 2050 and 2070. We used Maxent ver. 3.4.0 to develop SDMs. We used six global climate models (BCC-CSM1-1, CCSM4, GISS-E2-R, MIROC5, HadGEM2-ES and MPI-ESM-LR) for two representative concentration pathways (4.5 and 8.5) and two time projections (2050 and 2070) to detect future climate projections of D. sapinea. The most important EGVs influencing outbreaks were land cover, altitude, mean temperature of driest and wettest quarter, precipitation of wettest quarter, precipitation seasonality and minimum temperature of coldest month. The distribution of D. sapinea mostly expanded in central and southern Italy and shifted in altitude upwards on average by ca. 93m a.s.l. Moreover the fungus expanded the range where disease outbreaks may be recorded in response to an increase in the mean temperature of wettest and driest quarter by ca. 1.9 °C and 5.8 °C, respectively in all climate change scenarios. Precipitation of wettest quarter did not differ between current and any of future models. Under different climate change scenarios D. sapinea's disease outbreaks will be likely to affect larger areas of pine forests in the country, probably causing heavy effects on the dynamics and evolution of these stands or perhaps constraining their survival.

Pentachlorophenol (PCP) is an extremely dangerous worldwide pollutant due to its high toxicity towards all organisms. It has been introduced into the environment mainly as a wood preservative, biocides and from the bleaching of paper or tissues. The use of PCP indiscriminate has led to the contamination of water and soil systems. Many countries have specific regulations, guidelines or procedures for the management and disposal of PCP but the most common methods are: adsorption with activate carbons, incineration in an approved and secure area, closed in sealed containers and biological degradation. PCP depletion can occur either by abiotic processes such as: absorption, volatilization and photo degradation or by biotic degradation. One of the main studies focused on remediation using plants, animals and microbial communities. Aerobic and anaerobic microorganisms can degrade PCP under a variety of conditions and at different PCP concentrations. Bacterial strains such as Pseudomonas sp., Sphingomonas sp., Arthrobacter sp., Mycobacterium sp., Flavobacterium sp., Serratia sp. and Bacillus sp., and fungal cultures as Trametes sp., Phanerochaete sp., Anthracophyllum sp., Armillaria sp., Bjerkandera sp., Ganoderma sp., Lentinula sp., Penicillium sp, Trichoderma sp., Rhizopus sp. and Plerotus sp. showed various rates and extent of PCP degradation. This review focuses on PCP degradation by various aerobic and anaerobic microorganisms with emphases on the biological and chemical aspects. Furthermore we will analyze intermediate products, processes and enzymes involved in the degradation of PCP in different environmental conditions and at various PCP concentrations.

Pentachlorophenol (PCP) is a toxic compound which is widely used as a wood preservative product and general biocide. It is persistent in the environment and has been classified as a persistent organic pollutant to be reclaimed in many countries. Fungal bioremediation is an emerging approach to rehabilitating areas fouled by recalcitrant xenobiotics. In the present study, we isolated two fungal strains from an artificially PCP-contaminated soil during a long-term bioremediation study and evaluated their potential as bioremediation agents in depletion and detoxification of PCP in soil microcosms. The two fungal strains were identified as: Byssochlamys nivea (Westling, 1909) and Scopulariopsis brumptii (Salvanet-Duval, 1935). PCP removal and toxicity were examined during 28 days of incubation. Bioaugmented microcosms revealed a 60% and 62% PCP removal by B. nivea and S. brumptii, respectively. Co-inoculation of B. nivea and S. brumptii showed a synergetic effect on PCP removal resulting in 95% and 80% PCP decrease when initial concentrations were 12.5 and 25 mg kg-1, respectively. Detoxification in bioaugmented soil and the efficient role of fungi in the rehabilitation of PCP contaminated soil were experimentally proven by toxicity assays. A decrease in inhibition of bioluminescence of Escherichia coli HB101 pUCD607 and an increase of germination index of mustard (Brassica alba) seeds were observed in the decontaminated soils.

Xylella fastidiosa is a xylem-limited gram-negative bacterium causing a high number of severe diseases to many agricultural and forestry plants. We developed a Maxent model to detect the current and future potential distribution of X. fastidiosa in the Mediterranean under climate change. For future projections, we used Hadley Centre’s HADGEM2-ES models for four representative concentration pathways (2.6, 4.5, 6.0 and 8.5) and two time periods (2050 and 2070). Maxent models achieved excellent levels of predictive performance as can be seen from AUC, TSS and AUCdiff values. The potential distribution obtained for the current time comprises Portugal, Spain, Italy, Corsica, Albania, Montenegro, Greece and Turkey as well as all countries of northern Africa and the Middle East. X. fastidiosa is not predicted to change its distribution in the Basin in response to climate change. Our study, however, highlights that X. fastidiosa may overcome the current boundaries outside Italy. Given the potentially high risk, we urge that the listed countries consider appropriate and preventive phytosanitary measures to avoid the introduction of the bacterium.

Pentachlorophenol (PCP) has been used worldwide as a wood treatment agent and biocide. Its toxicity and extensive use have placed it among the most hazardous environmental pollutants. The response of a PCP-contaminated agricultural soil to the addition of solid urban waste compost and two exogenous Ascomycota fungal strains Byssochlamys nivea and Scopulariopsis brumptii was evaluated. The experiments were conducted in soil microcosms incubated for 28 days at 25 °C and 60 % moisture content. The depletion of PCP and the changes in biochemical soil properties (i.e. microbial biomass, soil respiration, dehydrogenase and fluorescein diacetate hydrolysis activities) were detected. The addition of PCP severely depressed some of the tested biochemical properties such as microbial biomass, dehydrogenase and fluorescein diacetate hydrolysis activities. By contrast, compost limited the negative effect of PCP on the dehydrogenase activity and soil respiration. When compost and fungal strains were contemporary present, a synergistic effect was observed with a reduction of more than 95 % of the extractable PCP after 28 days of incubation. No differences in PCP depletion resulted when fungi or compost were individually used. Our results indicate that many processes (i.e. microbial degradation and sorption to organic matter) likely occurred when PCP was added to the soil. The compost and the fungal strains, B. nivea and S. brumptii, showed good capability to tolerate and degrade PCP so that they could be successfully used in synergistic effect to treat PCP polluted soils.

Organisms sharing the same habitats may differ in small-scale microhabitat requirements or benefit from different management. In this study, set in Italy, we focused on two species of high conservation value, the cerambycid beetle Rosalia alpina and the bat Barbastella barbastellus, which often share the same forest areas and in several cases the same individual trees. We compared the potential distribution and, at two spatial scales, the niches between such species. The predicted distributions largely overlapped between the beetle and the bat. The niches proved to be similar on a broad scale, yet not on the plot one. Compared with B. barbastellus, R. alpina tends to occur at lower altitude in more irradiated sites with lower canopy closure and uses shorter trees with wider diameters. B. barbastellus occurred more often in trees within forest or along its edges, whereas R. alpina lays eggs in trees found in clearings. B. barbastellus plots were more frequent in forest, R. alpina plots in forested pasture and open-shredded forest. Overall, exposure to sun influenced more critically site and tree selection by R. alpina, as a warm microclimate is essential for larval development. Although B. barbastellus reproduction may be favored by warmer roosting conditions, bats may also find such conditions in dense forest and in strongly irradiated cavities high up in tall trees that project above the canopy. We emphasize that subtle differences in the ecological requirements of syntopic taxa could be missed at broad scales, so multiple-scale assessment is always advisable.

Pentachlorophenol (PCP) is an extremely dangerous pollutant for every ecosystem. In this study we have detected how PCP concentration and pH levels can influence PCP adsorption by Anthracophyllum discolor in the form of live fungal pellets. PCP adsorption was evaluated after 24 hours in KCl 0.1 M electrolyte solution with initial PCP concentrations of 5 and 10 mg L (-1) and with pH values between 4 and 9 (at intervals of 0.5). Fourier Transform Infrared Spectroscopy (FTIR) was used to identify functional groups of fungal biomass that can interact with PCP. The amount of PCP that was adsorbed by A. discolor was >80% at pH values between 5 and 5.5, whatever the concentration tested. PCP adsorption significantly decreased in liquid medium of pH > 6.0. FTIR results showed that amides, alkanes, carboxylates, carboxyl and hydroxyl groups may be important to the PCP adsorption for pellets of A. discolor. Live fungal pellets of A. discolor may be used as a natural biosorbent for liquid solutions contaminated by PCP.

a b s t r a c t Presence-only models can aid conservation and management of threatened, elusive species. We devel- oped a Maxent model for the rare cerambycid beetle Rosalia longicorn Rosalia alpina L. in Italy and neighbouring regions and identified the variables best explaining the species' occurrence on a large scale. Once successfully validated, we used the model to (a) evaluate the current degree of fragmen- tation of R. alpina range in Italy; and (b) quantify the amount of the Italian territory with the highest probability of beetle presence within the existing national conservation areas (Natura 2000 network, parks and reserves). Low ( 0.9) covered only 2.5%. R. alpina was predicted to occur mostly in broadleaved deciduous forest at 1000-1700 m a.s.l. with warm maximum spring temperatures and May and November precipitation >80 mm. We found a high degree of fragmentation; gaps were mainly covered with farmland or other unsuitable habitat. Over 52% of potential habitat is unprotected. While the Natura 2000 network protects 42% of potential habitat, parks and reserve covers less than 29%. To preserve R. alpina, we urge to create, or restore, forest corridors to bridge the otherwise impermeable gaps our model detected and grant protection to the still largely unprotected area of the Italian territory e.g. by including it in further Natura 2000 sites. Models such as ours may also help focus field surveys in selected areas to save resources and increase survey success.

Individual identification of animals is of paramount importance to analyze population size, dispersal, habitat preferences or behaviour. Especially for sensitive, threatened species, it is advisable to develop non-invasive recognition methods avoiding direct handling and tagging of the study subjects to be applied to procedures such as marking-recapture. Here we present an application of the I3S software for the individual recognition of the Rosalia longicorn Rosalia alpina based on the contour digitization of the spots present on the beetle’s elytra. Classification performances to individual level tested on an overall sample of 290 images (one per subject) were 94.8 (both elytra), 94.5 (right elytron) and 95.2 % (left elytron). Since I3S leaves the final decision to the operator, such high classification performances may be refined further in the final step leading to a fully reliable identification. We found that the identification performance was statistically supported and that the influence of two main error sources (contour tracing and angle under which the images were taken) was negligible. Our approach minimizes the subjectivity of a qualitative manual comparison of images and greatly reduces the time taken to visually retrieve the image of an individual especially for large photo libraries. It may be successfully used in surveys covering large areas and involving many untrained operators such as volunteers or park rangers. We propose that I3S can be applied to other insect species presenting characteristic spot patterns. To our best knowledge, this is the first study using computer-aided identification of a terrestrial arthropod.

The first European record of an outbreak of Fusarium solani on Quercus ilex following a massive attack by Xylosandrus compactus from southern Italy is reported.