scholarly journals Statistical methods in the context of environmental quality assessment: On the example of riparian beetles (Coleoptera, Carabidae)

2019 ◽  
Vol 252 ◽  
pp. 09010
Author(s):  
Marina Kirichenko-Babko ◽  
Yaroslav Danko ◽  
Łukasz Guz ◽  
Dariusz Majerek ◽  
Roman Babko
Keyword(s):  
Spatial Distribution ◽  
Statistical Methods ◽  
Environmental Quality ◽  
Hydrological Regime ◽  
Coastal Sediments ◽  
Environmental Research ◽  
Correct Interpretation ◽  
Ecological Studies ◽  
Environmental Quality Assessment

Modern environmental research involves the use of a broad range of statistical methods and programs. In any study, the results are obtained, as a rule, using statistical calculations, beginning with the calculation of reliability of data, and ending with complex statistical methods that allow estimating trends and predicting the processes that are evaluated. However, there is a problem associated with the correct interpretation of biological results by experts in statistics and, accordingly, the correctness of the choice and application of various statistical methods by biologists. In this paper, the evaluation of the results of studies of the effect of changes in the hydrological regime of the river caused by the functioning of the dam on the structure and spatial distribution of riparian carabids was considered. On the banks of intact rivers, the structure of the riparian assemblage naturally changes depending on the quality of coastal sediments. In order to assess the changes in the structure of the riparian assemblage, a number of statistical methods were employed. It was shown that not every method will adequately interpret the results of ecological studies. The differences in obtaining adequate interpretations while using various statistical methods were understood.

Environmental Quality Assessment of Tibet Based on 3S

2013 ◽  
Vol 295-298 ◽  
pp. 692-695
Author(s):  
Xu Xia
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Landscape Ecology ◽  
Environmental Quality ◽  
Water Area ◽  
Distribution Characteristics ◽  
High Coverage ◽  
Ecological Index ◽  
Environmental Quality Assessment ◽  
Spatial Distribution Characteristics

TM and HJ remote images were applied to land use interpretation of Tibet on the platform of Erdas software. The spatial distribution characteristics of Tibet land use were analyzed based on Landscape Ecology theory and GIS. The Ecological Index (EI) was calculated to access Tibetan eco-environmental quality. To validate the interpretation accuracy, GPS was used in field checking. The results show: (1) the farmland area of Tibet is 0.66%t of whole area. Woodland area is 164938.29 km2( 13.71%). Grassland is 548651.10 km2 (45.60%). Water area with 84392.81 km2 is 7.01%. Urban land is 3020.20 km2 ( 0.25%). Unutilized land is 460847.68 km2 (32.765); (2) High coverage grasslands are mainly distributed in some southern Tibetan counties, such as Xigaz, Nyemo, Lhongzi, Naidong, Yatung, Gyantse and Renbu (3) among 73 counties, there are 44 counties’ environment is moderate level, 18 counties’ environment is good level. Just one county’s EI is excellent level.

Assessment of the environmental quality of coastal sediments by using a combination of in vitro bioassays

2016 ◽  
Vol 108 (1-2) ◽  
pp. 53-61 ◽  
Author(s):  
Elisabet Pérez-Albaladejo ◽  
Juliane Rizzi ◽  
Denise Fernandes ◽  
Roger Lille-Langøy ◽  
Odd André Karlsen ◽  
...  
Keyword(s):  
Environmental Quality ◽  
Coastal Sediments ◽  
In Vitro Bioassays

scholarly journals Defining Parameters for Urban-Environmental Quality Assessment

2021 ◽  
Vol 10 (4) ◽  
pp. 1-13
Author(s):  
Oto Novacek ◽  
Jesus Lopez Baeza ◽  
Jan Barski ◽  
Jorg Rainer Noenning
Keyword(s):  
Quality Assessment ◽  
Urban Environment ◽  
Urban Space ◽  
Environmental Quality ◽  
Negative Emotions ◽  
Environmental Quality Assessment ◽  
Physical Elements ◽  
Definition Of ◽  
Positive And Negative Emotions

Measuring the quality of the urban environment has been a matter of research rooted in different fields of knowledge. Several methods and indicators have been deployed through the years, as have horizontal approaches from mixed perspectives. However, currently established indexes to measure urban performance depend on the actual definition of quality and on the weighted relevance of the different features influencing it. This contribution compares the level of emphasis paired by established indexes to measure urban quality, in contrast to what people mention the most when asked about what they like or dislike about the urban environment. The underlying idea is to obtain first-hand information about the way people make decisions about their movements in urban space. As a result, we observe a lack of correlation between the two groups of indicators, and between the key urban elements driving positive and negative emotions. In conclusion, we observe a tendency of people to perceive and report individual physical elements, rather than intangible concepts like safety or comfort.

scholarly journals Defining Parameters for Urban-Environmental Quality Assessment

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0
Keyword(s):  
Quality Assessment ◽  
Urban Environment ◽  
Urban Space ◽  
Environmental Quality ◽  
Negative Emotions ◽  
Environmental Quality Assessment ◽  
Physical Elements ◽  
Definition Of ◽  
Positive And Negative Emotions

Measuring the quality of the urban environment has been a matter of research rooted in different fields of knowledge. Several methods and indicators have been deployed through the years, as have horizontal approaches from mixed perspectives. However, currently established indexes to measure urban performance depend on the actual definition of quality and on the weighted relevance of the different features influencing it. This contribution compares the level of emphasis paired by established indexes to measure urban quality, in contrast to what people mention the most when asked about what they like or dislike about the urban environment. The underlying idea is to obtain first-hand information about the way people make decisions about their movements in urban space. As a result, we observe a lack of correlation between the two groups of indicators, and between the key urban elements driving positive and negative emotions. In conclusion, we observe a tendency of people to perceive and report individual physical elements, rather than intangible concepts like safety or comfort.

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