The use of cluster analysis for plant grouping by their tolerance to soil contamination with hydrocarbons at the germination stage

Potashev, K. A.; Sharonova, N. L.; Breus, I. P.

doi:10.1016/j.scitotenv.2014.03.067

Cited by 16 publications

(11 citation statements)

References 27 publications

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“…Furthermore, cluster analysis, specifically the Kmeans method (MacQueen 1967), was used to differentiate the plant communities. Notably, the Kmeans method was used as it can feasibly divide the body of the original dataset into a predetermined number of clusters (K), with the smallest difference between elements within each cluster and the largest difference between elements of different clusters (Potashev et al 2014).…”

Section: Discussionmentioning

confidence: 99%

Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains

et al. 2019

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Slope aspect can affect soil temperature and soil type distribution, which, in turn, is likely to influence plant community composition. Three Qilian mountains, located in the northeastern part of the Qinghai–Tibetan Plateau, China, with four distinct slope aspects including south‐facing (SF), southwest‐facing (SW), northwest‐facing (NW), and north‐facing (NF) slope aspects, were studied to investigate the impact of slope aspect on plant assemblages. The results indicated that the environmental conditions were favorable under the NF and NW slope aspects as the soil water, soil organic carbon (SOC), and soil total nitrogen (STN) contents were significantly higher, and soil temperature (ST) and soil bulk density (SBD) were significantly lower than under the SF and SW aspects. Under all slope aspects, however, SOC, STN, and soil total phosphate in the top 0.2 m of topsoil accounted for about 60% of its total quantity, to a soil depth of 0.6 m. The plant communities on the SF and SW slopes were found to be primarily composed of Poa pratensis, Potentilla anrisena, and Carex aridula. In contrast, the plant community on the NW slope was mainly composed of Kobresia humilis, Carex crebra, and Potentilla bifurca, while on the NF slope it was mainly composed of Picea crassifolia, Carex scabrirostris, and Polygonum macrophyllum. The order of the influence of environmental factors on species distributions was ST > SBD > sand > STN. Results suggest that the slope aspect has an important role in the regulation of the soil environment and plant assemblages and that ST and SBD were the main factors influencing plant community composition. Furthermore, evidence from this study suggests that these mountains will become increasingly vulnerable to global warming. Thus, the plant community composition on these mountains must be monitored continuously in order to allow for strategic adaptive management.

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Section: Discussionmentioning

confidence: 99%

Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains

et al. 2019

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“…After delineating and expressing the type and extent of contaminated soil and also finding out the methods to quantify the petroleum substances (Gan et al, 2009;Liu et al, 2011;Zhang et al, 2012;Abdullah et al, 2014;Pinedo et al, 2014;Potashev et al, 2014;Zhang et al, 2014;Wolejko et al, 2016), the subjected soil should be characterized as the first step in planning remediation strategies (Mao et al, 2009). This step includes testing and analyzing soil physical, chemical and biological characteristics.…”

Section: Introductionmentioning

confidence: 99%

Importance of soil physical characteristics for petroleum hydrocarbons phytoremediation: A review

Hajabbasi¹

2016

Afr. J. Environ. Sci. Technol.

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Petroleum and petrochemical hydrocarbons for some places are serious sources of environmental pollutants. To remediate these contaminants, phytoremediation, a relatively low cost and an environmental friendly technique is recommended more widely, now more than ever. Successful and effective applying of hydrocarbons phytoremediation depends mainly on the soil and plant types and conditions and microbial activities and the interactions between these three factors. Although for the last several decades, various plant and organism's species for the phytoremediation processes have been extensively studied, evaluating and characterizing soil properties, as an important objective for sustainable remediation and land use management, which had negligible considerations. An ideal soil for phytoremediation should have proper physical, chemical and biological characteristics to let the plant grow well and produce biomass as high as possible. It also should provide favorable conditions for microbial activities to perform efficient remediation. Soil physical characteristics such as texture, structure, water status and aeration are important factors affecting the microbial activities and consequently the degree of remediation potential. A better understanding of soil physical properties in conjunction with proper soil-plant-microbe management could be exploited to enhance the remediation of hydrocarbon contaminated soils and thus sustainable healthy environment.

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“…As a method of multivariate data analysis, cluster analysis proved to be a suitable method for analysing land-use change, see for example Mendoza et al (2011), Potashev et al (2014, Reger et al (2007) and Stuczynski et al (2003). The k-means cluster algorithm is a partitioning method (MacQueen 1967).…”

Section: Discussionmentioning

confidence: 99%

Analysing Data of the Integrated Administration and Control System (IACS) to Detect Patterns of Agricultural Land-Use Change at Municipality Level

Lüker-Jans

Simmering²,

Otte

2016

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European landscapes have featured considerable changes towards intensification and marginalisation. These major trends are expected to continue in the future. Besides, the cultivation of bioenergy crops has become an important factor in agricultural land use. A thorough understanding of land-use processes for management purposes is needed. In this study, the spatial and temporal pattern of agricultural land use and land-use change was classified at the scale of municipalities from 2005 to 2010. The study region was the German federal state Hesse. By using data of the Integrated Administration and Control System (IACS) of the European Union and with the help of k-means cluster analysis, five types of agricultural land-use patterns and dynamics (TLPDs) were detected. These TLPDs represent different sub-regions. Sub-regions with favourable physical conditions for cultivation are dominated by arable land. A progressive land-use change occurred by conversion of grassland to arable land. In sub-regions, where physical conditions are rather unfavourable, especially in mountainous areas, grassland is the predominant land use. But on the remaining arable land, there is a slight change in favour of maize. The knowledge of sub-regions with spatially and temporally different agricultural land use could be utilised to develop land management instruments like site-specific agri-environmental schemes.

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The use of cluster analysis for plant grouping by their tolerance to soil contamination with hydrocarbons at the germination stage

Cited by 16 publications

References 27 publications

Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains

Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains

Importance of soil physical characteristics for petroleum hydrocarbons phytoremediation: A review

Analysing Data of the Integrated Administration and Control System (IACS) to Detect Patterns of Agricultural Land-Use Change at Municipality Level

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