scholarly journals Variability of morphometric leaf traits in small-leaved linden (Tilia cordata Mili.) under the influence of air pollution

2011 ◽  
Vol 77 (2) ◽  
pp. 125-137 ◽  
Author(s):  
Piotr Kosiba
Keyword(s):  
Air Pollution ◽  
Cluster Analysis ◽  
Leaf Traits ◽  
Tilia Cordata ◽  
Morphometric Traits ◽  
Hierarchical Tree ◽  
Significant Differentiation ◽  
Dust Fall ◽  
Polluted Sites ◽  
Lower Variability

The study concerns the ecological responses of <em>Tilia cordata</em> Mill. to pollution and describes the advantages of estimating of the degree of environmental pollution. The aim was, to find out whether the degree of pollution conforms to the contents of the investigated elements in leaves, the assessment of variability of morphometric leaf traits and the cationic equilibrium values. The study has shown a statistically significant differentiation between the analysed sites in respect of dust fall, concentrations of elements in soils and leaves, morphometric traits of leaves and the cationic equilibrium. The hierarchical tree plot of cluster analysis qualified the sites as polluted and non-polluted. In polluted sites the contents of metals in leaves were significantly higher and the cationic equilibrium in leaves was disturbed. The surface, width and asymmetry of leaves, and also the variability of these measures were higher in polluted sites. In sites, which are not directly affected by pollution the cationic equilibrium is close to the const. value, whereas leaf traits have shown the lowest values and a considerably lower variability. The investigations show that leaf traits and cationic equilibrium correspond to the level of pollution and can be used as a tool for evaluation of the environment status.

scholarly journals Change of Leaf Trait Asymmetry Type in Tilia cordata Mill. and Betula pendula Roth under Air Pollution

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 727 ◽  
Author(s):  
Elena A. Erofeeva ◽  
Basil N. Yakimov
Keyword(s):  
Air Pollution ◽  
Betula Pendula ◽  
Leaf Traits ◽  
Directional Asymmetry ◽  
Stress Index ◽  
Tilia Cordata ◽  
Leaf Trait ◽  
Betula Pendula Roth ◽  
Integrated Index ◽  
Paradoxical Effects

Leaf fluctuating asymmetry (FA) is widely used as an environmental stress index, including pollution. Besides FA, leaf bilateral traits can have directional asymmetry (DA) and antisymmetry (AS), which are considered hereditary. Leaf FA transitioning to DA/AS or mixed asymmetry, under air pollution, has been insufficiently investigated. This study analysed leaf asymmetry types in Tilia cordata Mill. and Betula pendula Roth under traffic air pollution over several years. In addition, the relations of such transitions to pollution, and their effect on FA-integrated index, were studied. The asymmetry types of all studied leaf traits varied with air pollution increase, as well as in control trees in different years. T. cordata most often had FA transition to DA/mixed asymmetry, while B. pendula rarely had a mixed asymmetry and FA transitions to DA/AS were observed with the same frequency. Air pollution impacted FA transitions to other asymmetry types. In most cases their frequency changed non-monotonically that corresponded to hormesis and paradoxical effects. However, FA integrated index in studied trees did not depend on change of leaf asymmetry type. Thus, DA and AS in studied plants were not exclusively hereditary. Hence, the changes of leaf asymmetry type should be considered when using leaf FA in environment assessment.

scholarly journals AIR POLLUTION TOLERANCE INDEX OF SOME SELECTED GYMNOSPERM SPECIES ALONG THE ROAD SIDE OF KATHMANDU VALLEY, NEPAL

2017 ◽  
Vol 24 ◽  
pp. 13-19 ◽  
Author(s):  
Jaya Prakash Hamal ◽  
Mukesh Kumar Chettri
Keyword(s):  
Air Pollution ◽  
Winter Season ◽  
Kathmandu Valley ◽  
Tolerance Index ◽  
Pinus Roxburghii ◽  
Cedrus Deodara ◽  
The Road ◽  
Pollution Tolerance ◽  
Air Pollution Tolerance Index ◽  
Polluted Sites

Response of plants towards air pollution is assessed by air pollution tolerance index (APTI). Four species of Gymnosperms (Thuja orientiales, Cedrus deodara, Pinus roxburghii and Araucaria bidwillii) were evaluated for APTI. Leaves were collected during winter season from polluted sites (Airport, Dhumbarahi, Jawalakhel, Ratnapark, and Sankhapark) and less polluted site (Narayanthan) of Kathmandu valley. Of four gymnosperm species collected from road side, all species (Cedrus deodara, Araucaria bidwillii, Thuja orientiales and Pinus roxburghii) showed high value of APTI (i.e., more than 8), indicating their resistance to air pollution.ECOPRINT 24: 13-19, 2017

scholarly journals Examining Patterns of Air Quality Perception: A Cluster Analysis for Southern Chilean Cities

SAGE Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 215824401986356 ◽  
Author(s):  
Àlex Boso ◽  
Boris Álvarez ◽  
Christian Oltra ◽  
Álvaro Hofflinger ◽  
Arturo Vallejos-Romero ◽  
...  
Keyword(s):  
Health Care ◽  
Air Pollution ◽  
Cluster Analysis ◽  
Air Quality ◽  
Health Risks ◽  
Public Perception ◽  
Emotional Responses ◽  
Sociodemographic Factors ◽  
Southern Chile ◽  
Las Casas

Various medium-sized cities in southern Chile are saturated by air pollution caused by woodsmoke. In this study, we developed a segmentation model to assess the public’s perceptions, understanding of health risks and emotional responses to poor air quality. To date, this is the first segmentation model dealing with public perception in cities contaminated by woodsmoke. A survey ( N = 489) was conducted in Temuco and Padre las Casas, Chile, which included questions regarding attitudes, sociodemographic factors, and health care behaviors, to obtain information for mitigation initiatives. Through a cluster analysis, three population segments were identified that related differently to environmental pollution, which were constructed based on seven psychosocial variables. Different sociodemographic profiles and self-reported behavioral patterns were found, which should guide policies aimed at improving air quality in cities contaminated by pollution from wood-burning stoves.

scholarly journals Air Pollution Flow Patterns in the Mexico City Region

Climate ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 128
Author(s):  
Alejandro Salcido ◽  
Susana Carreón-Sierra ◽  
Ana-Teresa Celada-Murillo
Keyword(s):  
Air Pollution ◽  
Cluster Analysis ◽  
Mexico City ◽  
Air Pollutants ◽  
Flow Patterns ◽  
Surface Flow ◽  
Flow State ◽  
City Region ◽  
Wind Circulation ◽  
Flow Vector

According to the Mexico City Emissions Inventory, mobile sources are responsible for approximately 86% of nitrogen oxide emissions in this region, and correspond to a NOx emission of 51 and 58 kilotons per year in Mexico City and the State of Mexico, respectively. Ozone levels in this region are often high and persist as one of the main problems of air pollution. Identifying the main scenarios for the transport and dispersion of air pollutants requires the knowledge of their flow patterns. This work examines the surface flow patterns of air pollutants (NO2, O3, SO2, and PM10) in the area of Mexico City (a region with strong orographic influences) over the period 2001–2010. The flow condition of a pollutant depends on the spatial distribution of its concentration and the mode of wind circulation in the region. We achieved the identification and characterization of the pollutant flow patterns through the exploitation of the 1-hour average values of the pollutant concentrations and wind data provided by the atmospheric monitoring network of Mexico City and the application of the k-means method of cluster analysis. The data objects for the cluster analysis were obtained by modeling Mexico City as a 4-cell spatial domain and describing, for each pollutant, the flow state in a cell by the spatial averages of the horizontal pollutant flow vector and its gradients (the divergence and curl of the flow vector). We identified seven patterns for wind circulation and nine patterns for each of NO2, O3, PM10, and SO2 pollutant flows. Their seasonal and annual average intensities and probabilities of occurrence were estimated.

A Cluster Analysis of PM2.5 Using CMAQ Model Results for Representativeness of Air Quality Monitoring Networks in Busan, Korea

2020 ◽  
Author(s):  
Woo-Sik Jung ◽  
Woo-Gon Do
Keyword(s):  
Air Pollution ◽  
Cluster Analysis ◽  
Air Quality ◽  
Monitoring Network ◽  
Hierarchical Cluster ◽  
Quality Monitoring ◽  
Quality Data ◽  
Air Quality Monitoring ◽  
Monitoring Networks ◽  
Monitoring Stations

&lt;p&gt;&lt;strong&gt;With increasing interest in air pollution, the installation of air quality monitoring networks for regular measurement is considered a very important task in many countries. However, operation of air quality monitoring networks requires much time and money. Therefore, the representativeness of the locations of air quality monitoring networks is an important issue that has been studied by many groups worldwide. Most such studies are based on statistical analysis or the use of geographic information systems (GIS) in existing air quality monitoring network data. These methods are useful for identifying the representativeness of existing measuring networks, but they cannot verify the need to add new monitoring stations. With the development of computer technology, numerical air quality models such as CMAQ have become increasingly important in analyzing and diagnosing air pollution. In this study, PM2.5 distributions in Busan were reproduced with 1-km grid spacing by the CMAQ model. The model results reflected actual PM2.5 changes relatively well. A cluster analysis, which is a statistical method that groups similar objects together, was then applied to the hourly PM2.5 concentration for all grids in the model domain. Similarities and differences between objects can be measured in several ways. K-means clustering uses a non-hierarchical cluster analysis method featuring an advantageously low calculation time for the fast processing of large amounts of data. K-means clustering was highly prevalent in existing studies that grouped air quality data according to the same characteristics. As a result of the cluster analysis, PM2.5 pollution in Busan was successfully divided into groups with the same concentration change characteristics. Finally, the redundancy of the monitoring stations and the need for additional sites were analyzed by comparing the clusters of PM2.5 with the locations of the air quality monitoring networks currently in operation.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2017R1D1A3B03036152).&lt;/strong&gt;&lt;/p&gt;

Broccoli ‘Fiolaro’ (Brassica oleracea) an endangered typical Italian cultivar. A genetic analysis by SSR markers

2008 ◽  
Vol 6 (3) ◽  
pp. 215-221 ◽  
Author(s):  
M. Vischi ◽  
M. Fiori ◽  
E. De Paoli ◽  
S. Padovan ◽  
M. Guarda ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Brassica Oleracea ◽  
Cultivar Identification ◽  
The Other ◽  
Assignment Test ◽  
Significant Differentiation ◽  
Hill Country ◽  
North Eastern ◽  
Degree Of Similarity ◽  
Simple Sequence

‘Broccolo fiolaro’ (Brassica oleracea L. convar. Italica) is a typical vegetable produced in a restricted hill country area around Creazzo (Vicenza) in north-eastern Italy. The cultivation of this vegetable dates back several centuries ago, but a very few farms are still involved in the production. ‘Broccolo fiolaro’ is a variety of broccoli highly valued for its agronomic and organoleptic features.Four ‘Broccolo fiolaro’ selections were characterized by simple sequence repeats (SSRs) molecular markers and compared with other five cultivated varieties of broccoli of the Italica group in order to reconstruct their genetic structure and evaluate the degree of similarity among and within populations. The analysis of 12 SSR polymorphic loci pointed out a low genetic variability among the four ‘Broccolo fiolaro’ selections. Moreover, the whole ‘Fiolaro’ group showed significant differentiation from the other broccoli cultivars and could be easily distinguished by cluster analysis. An assignment test on ~30 genotyped plants randomly chosen from each broccoli population correctly recognized the proper accession 88% of the time, proving this method to be useful for cultivar identification.

scholarly journals PROSUMERIC ACTIVITY OF CONTEMPORARY FINAL PURCHASERS VS. THEIR RELATIONSHIPS WITH OFFERORS

2020 ◽  
pp. 7-19
Author(s):  
Agnieszka Baruk
Keyword(s):  
Cluster Analysis ◽  
Empirical Research ◽  
Consumer Behaviour ◽  
Primary Data ◽  
Knowledge Gap ◽  
Marketing Activity ◽  
Significant Differentiation ◽  
Theoretical Part ◽  
Research Hypothesis ◽  
Research Gap

The article is of a theoretical and empirical nature. To prepare the theoretical part the available literature on marketing and consumer behaviour was cognitively and critically analysed. The results of the analysis allowed for identifying a knowledge gap and a research gap in this area. So far, purchaser activity in the context of relationships and image has not been analysed, especially in relation to offerors perceived as the initiators of communication and creation behaviours of purchasers. Therefore, the aim of the article was to define the significance of mutual relationships between purchasers and offerors in relation to the activity of final purchasers. A research hypothesis was verified: that the perception of offerors as the initiators of the activity of final purchasers differentiates the range of this activity. In order to achieve the goal and check the formulated hypothesis, a nationwide empirical research was conducted. The research involved a questionnaire for collecting primary data, which was afterwards statistically analysed by means of cluster analysis and the Kruskal-Wallis test. The results revealed that good relationships were important or very important for the majority of respondents. The perception of offerors was significant as far as the form of marketing activity for purchasers are concerned. However, it is possible to note statistically significant differentiation in the case of two forms of purchaser activity. So, the research hypothesis turned out to be valid only for these two forms.

scholarly journals Water trophicity of Utricularia microhabitats identlfied by means of SOFM as a tool in ecological modeling

2011 ◽  
Vol 76 (3) ◽  
pp. 255-261 ◽  
Author(s):  
Piotr Kosiba ◽  
Andrzej Stankiewicz
Keyword(s):  
Water Quality ◽  
Cluster Analysis ◽  
Ecological Modeling ◽  
The Self ◽  
Topological Map ◽  
Upper Silesia ◽  
Hierarchical Tree ◽  
Feature Map ◽  
Self Organizing

The study objects were 48 microhabitats of five <em>Utricularia</em> species in Lower and Upper Silesia (POLAND). The aim of the paper was to focus on application of the Self-Organizing Feature Map in assessment of water trophicity in <em>Utricularia</em> microhabitats, and to describe how SOFM can be used for the study of ecological subjects. This method was compared with the hierarchical tree plot of cluster analysis to check whether this techniques give similar results. In effect, both topological map of SOFM and dendrogram of cluster analysis show differences between <em>Utricularia</em> species microhabitats in respect of water quality, from eutrophic for <em>U. vulgaris</em> to dystrophic for <em>U. minor</em> and <em>U. intermedia</em>. The used methods give similar results and constitute a validation of the SOFM method in this type of studies.

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