scholarly journals First syntaxonomical contribution to the invasive Ailanthus altissima (Mill.) Swingle forest communities at its southern limit in Europe

2020 ◽  
Vol 57 (2) ◽  
pp. 145-160
Author(s):  
Silvia Montecchiari ◽  
Marina Allegrezza ◽  
Veronica Pelliccia ◽  
Giulio Tesei
Keyword(s):  
Urban Areas ◽  
Central Italy ◽  
Forest Community ◽  
Ailanthus Altissima ◽  
Soil Conditions ◽  
Southern Europe ◽  
Forest Communities ◽  
Southern Limit ◽  
Canopy Density

Ailanthus altissima (tree of heaven), an invasive alien tree native to China, has become invasive all over the world and in Italy is present in all the administrative regions where it can form dense forest communities. Although there are several ecological studies on this species there is a lack of floristic-vegetational data for southern-Europe. The study presents the results of a floristic vegetational study on A. altissima forest communities of central Italy that aims to highlight the possible floristic-vegetational autonomy of these coenoses. The results have allowed the characterization of A. altissima coenoses at the ecological, biogeographic, syntaxonomic and landscape levels. These represent first A. altissima syntaxa described for the Italian peninsula and for southern-Europe. We propose two new sub-Mediterranean and Mediterranean associations comprised in the recently described alliance Lauro nobilis-Robinion pseudoaciae, in the Chelidonio-Robinietalia order and the Robinietea class: Asparago acutifolii-Ailanthetum altissimae: forest community with stratified structure and high canopy density on the warmer slopes of the hills in dry soil conditions and low anthropic disturbance and Aro italici-Ailanthetum altissimae: paucispecific forest communities with a monolayered structure typically found in agricultural, and peri-urban areas on pelitic, alluvial silty-sandy substrates, in conditions of edaphic humidity and high anthropogenic disturbance. The comparison with literature data highlights the autonomy of these associations of the sub-Mediterranean and Mediterranean alliance Lauro nobilis-Robinion pseudoacaciae alliance from the Balloto nigrae-Ailanthetum altissimae association of the Central and SE-European Balloto nigrae-Robinion pseudoacaciae alliance.

scholarly journals Ailanthus altissima Forests Determine a Shift in Herbaceous Layer Richness: A Paired Comparison with Hardwood Native Forests in Sub-Mediterranean Europe

Plants ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1404
Author(s):  
Silvia Montecchiari ◽  
Giulio Tesei ◽  
Marina Allegrezza
Keyword(s):  
Alien Species ◽  
Forest Ecosystems ◽  
Central Italy ◽  
Total Carbon ◽  
Ailanthus Altissima ◽  
Native Forest ◽  
Forest Communities ◽  
Herbaceous Layer ◽  
Native Forests ◽  
Ecological Parameters

Ailanthus altissima is an invasive alien species (IAS) present throughout Europe and included in the list of alien species of Union concern. In sub-Mediterranean areas of central Italy, there is a lack of knowledge about this invasive species and its interactions with the native forest ecosystems. We aim to find what are the main differences in vegetation structure and floristic diversity between A. altissima forests and native forests through the assessment of the principal ecological parameters that differ between the forest types. We performed 38 phytosociological relevés and sampling of ecological parameters in A. altissima forest communities and neighboring native forests. We analyzed how species richness, diversity, life forms, life strategies, structural characteristics, and ecological parameters changed in A. altissima forests compared with native ones. We found that in A. altissima forests, there is a shift in herbaceous layer richness, with a higher presence of annual ruderal herbs and the absence of herbaceous species linked to the forest environment. The ecological parameters that diverge from the native forests were total nitrogen, total carbon, and C/N ratio. A. altissima forest communities could threaten the biodiversity of the native forest ecosystems in the sub-Mediterranean landscape, favoring ruderal species and inhibiting the presence of typical forest species.

Ecosan Can Provide Sustainable Sanitation in Emergency Situations with Benefits for the Millennium Development Goals

2006 ◽  
Vol 1 (2) ◽  
Author(s):  
E. v. Münch ◽  
G. Amy ◽  
J. F. Fesselet
Keyword(s):  
Low Income ◽  
Urban Areas ◽  
Millennium Development Goals ◽  
Net Present Value ◽  
Soil Conditions ◽  
Value Analysis ◽  
Emergency Situations ◽  
Long Time ◽  
Development Goals ◽  
Sanitation Systems

This paper describes the potential of ecological sanitation (ecosan) to provide sustainable excreta disposal in emergency situations and in peri-urban areas or slums in developing countries. At the present time, pit latrines are the most common form of excreta disposal both for emergency situations and in low-income peri-urban areas or slums. Although not intended to be a long-term solution, pit latrines provided during emergencies are often used for a long time (more than six months to years). This practice is not sustainable if the area is prone to flooding or there are soil conditions that allow groundwater pollution in areas where groundwater is used for drinking water, to name but two of the main factors. We propose eight criteria for the applicability of ecosan based on analysis of three case studies representing different types of emergency situations. The two most important criteria are awareness and expertise in ecosan within the aid agencies, and availability of standardised, lightweight toilet units that are quick to assemble and easy to transport (e.g. container for faeces, and urine diversion squatting pan made of impact-resistant molded polypropylene). Such toilets could be moved to, or replicated in, other areas in need after the emergency (peri-urban areas or slums). This would provide benefits for Millennium Development Goals achievements (targets on hunger, child mortality, sanitation and slum dwellers) at lower cost than conventional sanitation systems. Costs for sanitation systems should be compared based on the entire system (toilet, transport, treatment, reuse in agriculture), using Net Present Value analysis for capital, and operating and maintenance costs.

scholarly journals A global non-invasive methodology for the phenotyping of potato under water deficit conditions using imaging, physiological and molecular tools

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
M. Musse ◽  
G. Hajjar ◽  
N. Ali ◽  
B. Billiot ◽  
G. Joly ◽  
...  
Keyword(s):  
Water Stress ◽  
Water Deficit ◽  
Soil Conditions ◽  
Growth Stages ◽  
Dry Matter Content ◽  
Tuber Growth ◽  
Non Invasive ◽  
Potato Plants ◽  
Significant Difference

Abstract Background Drought is a major consequence of global heating that has negative impacts on agriculture. Potato is a drought-sensitive crop; tuber growth and dry matter content may both be impacted. Moreover, water deficit can induce physiological disorders such as glassy tubers and internal rust spots. The response of potato plants to drought is complex and can be affected by cultivar type, climatic and soil conditions, and the point at which water stress occurs during growth. The characterization of adaptive responses in plants presents a major phenotyping challenge. There is therefore a demand for the development of non-invasive analytical techniques to improve phenotyping. Results This project aimed to take advantage of innovative approaches in MRI, phenotyping and molecular biology to evaluate the effects of water stress on potato plants during growth. Plants were cultivated in pots under different water conditions. A control group of plants were cultivated under optimal water uptake conditions. Other groups were cultivated under mild and severe water deficiency conditions (40 and 20% of field capacity, respectively) applied at different tuber growth phases (initiation, filling). Water stress was evaluated by monitoring soil water potential. Two fully-equipped imaging cabinets were set up to characterize plant morphology using high definition color cameras (top and side views) and to measure plant stress using RGB cameras. The response of potato plants to water stress depended on the intensity and duration of the stress. Three-dimensional morphological images of the underground organs of potato plants in pots were recorded using a 1.5 T MRI scanner. A significant difference in growth kinetics was observed at the early growth stages between the control and stressed plants. Quantitative PCR analysis was carried out at molecular level on the expression patterns of selected drought-responsive genes. Variations in stress levels were seen to modulate ABA and drought-responsive ABA-dependent and ABA-independent genes. Conclusions This methodology, when applied to the phenotyping of potato under water deficit conditions, provides a quantitative analysis of leaves and tubers properties at microstructural and molecular levels. The approaches thus developed could therefore be effective in the multi-scale characterization of plant response to water stress, from organ development to gene expression.

scholarly journals Evaluating Landscape Attractiveness with Geospatial Data, a Case Study in Flanders, Belgium

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 703
Author(s):  
Astrid Vannoppen ◽  
Jeroen Degerickx ◽  
Anne Gobin
Keyword(s):  
Ecosystem Services ◽  
Urban Areas ◽  
Policy Development ◽  
Bare Soil ◽  
Geospatial Data ◽  
Soil Conditions ◽  
Landscape Indicators ◽  
Landscape Characteristics ◽  
Landscape Quality

Attractive landscapes are diverse and resilient landscapes that provide a multitude of essential ecosystem services. The development of landscape policy to protect and improve landscape attractiveness, thereby ensuring the provision of ecosystem services, is ideally adapted to region specific landscape characteristics. In addition, trends in landscape attractiveness may be linked to certain policies, or the absence of policies over time. A spatial and temporal evaluation of landscape attractiveness is thus desirable for landscape policy development. In this paper, landscape attractiveness was spatially evaluated for Flanders (Belgium) using landscape indicators derived from geospatial data as a case study. Large local differences in landscape quality in (i) rural versus urban areas and (ii) between the seven agricultural regions in Flanders were found. This observed spatial variability in landscape attractiveness demonstrated that a localized approach, considering the geophysical characteristics of each individual region, would be required in the development of landscape policy to improve landscape quality in Flanders. Some trends in landscape attractiveness were related to agriculture in Flanders, e.g., a slight decrease in total agricultural area, decrease in dominance of grassland, maize and cereals, a decrease in crop diversity, sharp increase in the adoption of agri-environmental agreements (AEA) and a decrease in bare soil conditions in winter. The observed trends and spatial variation in landscape attractiveness can be used as a tool to support policy analysis, assess the potential effects of future policy plans, identify policy gaps and evaluate past landscape policy.

scholarly journals Estimating Environmental Contamination and Element Deposition at an Urban Area of Central Italy

Urban Science ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 76 ◽  
Author(s):  
Stefano Loppi ◽  
Adelmo Corsini ◽  
Luca Paoli
Keyword(s):  
Urban Area ◽  
Environmental Contamination ◽  
Urban Areas ◽  
Central Italy ◽  
Protective Role ◽  
Evernia Prunastri ◽  
Physico Chemical ◽  
Living Organisms ◽  
Study Sites ◽  
Economic Constraints

Air quality monitoring in many urban areas is based on sophisticated and costly equipment to check for the respect of environmental quality standards, but capillary monitoring is often not feasible due to economic constraints. In such cases, the use of living organisms may be very useful to complement the sparse data obtained by physico-chemical measurements. In this study, the bioaccumulation of selected trace elements (Al, As, Cd, Ce, Cr, Cu, Fe, Ni, Pb, S, Sb, Zn) in lichen samples (Evernia prunastri) transplanted for three months at an urban area of Central Italy was investigated to assess the main environmental contaminants, their sources, and the fluxes of element depositions. The results pinpointed Cu and Sb as the main contaminants and suggested a common origin for these two elements from non-exhaust sources of vehicular traffic, such as brake abrasion. Most study sites were, however, found to be subjected to low or moderate environmental contamination, and the lowest contamination corresponded to the main green areas, confirming the important protective role of urban forests against air pollution. Ranges of estimated mean annual element deposition rates in the study area were similar or lower than those reported for other urban areas.

Nutritional characterization of six quinoa (Chenopodium quinoa Willd) varieties cultivated in Southern Europe

2021 ◽  
pp. 103876
Author(s):  
M. José Rodríguez Gómez ◽  
Javier Matías Prieto ◽  
Verónica Cruz Sobrado ◽  
Patricia Calvo Magro
Keyword(s):  
Chenopodium Quinoa ◽  
Southern Europe

Characterization of Phytophthora cinnamomi from common walnut in Southern Europe environment

2018 ◽  
Vol 49 (1) ◽  
pp. e12477 ◽  
Author(s):  
Salvatore Vitale ◽  
Michele Scotton ◽  
Anna Maria Vettraino ◽  
Andrea Vannini ◽  
Anita Haegi ◽  
...  
Keyword(s):  
Phytophthora Cinnamomi ◽  
Southern Europe ◽  
Common Walnut

scholarly journals Integrating macroseismic intensity distributions with a probabilistic approach: an application in Italy

2021 ◽  
Vol 21 (8) ◽  
pp. 2299-2311
Author(s):  
Andrea Antonucci ◽  
Andrea Rovida ◽  
Vera D'Amico ◽  
Dario Albarello
Keyword(s):  
Southern Italy ◽  
Central Italy ◽  
Probabilistic Approach ◽  
Source Characterization ◽  
Strong Earthquakes ◽  
Intensity Prediction ◽  
Macroseismic Intensities ◽  
Earthquake Effects ◽  
Available Information

Abstract. The geographic distribution of earthquake effects quantified in terms of macroseismic intensities, the so-called macroseismic field, provides basic information for several applications including source characterization of pre-instrumental earthquakes and risk analysis. Macroseismic fields of past earthquakes as inferred from historical documentation may present spatial gaps, due to the incompleteness of the available information. We present a probabilistic approach aimed at integrating incomplete intensity distributions by considering the Bayesian combination of estimates provided by intensity prediction equations (IPEs) and data documented at nearby localities, accounting for the relevant uncertainties and the discrete and ordinal nature of intensity values. The performance of the proposed methodology is tested at 28 Italian localities with long and rich seismic histories and for two well-known strong earthquakes (i.e., 1980 southern Italy and 2009 central Italy events). A possible application of the approach is also illustrated relative to a 16th-century earthquake in the northern Apennines.

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