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Relative Influence of “Physicochemical Variables” and “Indigenous Bacterial Diversity” on the Efficiency of Bioaugmentation-Mediated In Situ Bioremediation
Published in M.H. Fulekar, Bhawana Pathak, Bioremediation Technology, 2020
The last set of results from Mantel test analysis showed PNP degradation to have the highest correlation with survival of the bioaugmented strain (r = 0.764; importantly, this value is very close to the maximum possible empirical value at 99.5% correlation) (Table 5.2, row 3). PNP degradation was also found to be greatly correlated with native microbial community structure (r = 0.521) and soil variables (r = 0.558), both showing possible correlation between 97.5% and 99%.
Evaluating foliar nutrient concentration as an indicator of soil nutrients in reclaimed and natural forests in Alberta, Canada
Published in International Journal of Mining, Reclamation and Environment, 2020
Jeffrey I. Hogberg, Bradley D. Pinno., M. Derek MacKenzie
To assess multivariate nutrient profile correlation between foliar and belowground nutrient pools, a Mantel test was performed for each reclamation treatment and the reference sites. Each comparison’s test statistic (r) was evaluated with the randomisation test option, rather than Mantel’s asymptotic approximation, as there were fewer than 40 plots analysed in each dataset [33]. The Mantel test measures response redundancy between two distance matrices constructed from multiple response matrices, essentially a correlation of points’ relative positions, and it is the only commonly available tool used to determine similarity of such matrices [33]. The more similar the matrices’ distance measures, the greater correlation there is between overall plot placements in the relative ordination space of the two matrices.
Flow duration curve regionalization with enhanced selection of donor basins
Published in Journal of Applied Water Engineering and Research, 2018
Muhammad Uzair Qamar, Daniele Ganora, Pierluigi Claps, Muhammad Azmat, Muhammad Adnan Shahid, Rao Arsalan Khushnood
The linear regression models are applied for the prediction of FDCs in ungauged basins due to the simplicity in application and requirement of less data when compared to the non-linear regression models. This allows us to obtain a more robust model even if the final performance may be less optimal. Moreover, it is important to recall that the regressions have been applied to the distance matrices, thus requiring the application of the Mantel test to test the significance of each regressor. The current implementation of the Mantel test works in a linear context, while applicability to non-linear regression is yet to be investigated; therefore the method is applied to the linear models only. The simplicity of the proposed procedure makes it a valuable tool for the assessment of FDCs in an ungauged basin.
Relationships between volatile organic compounds with an emphasis on terpene compounds and genetic matrix in inoculated and non-inoculated winter wheat cultivars
Published in Chemistry and Ecology, 2019
M. Buśko, T. Góral, M. Boczkowska, J. Perkowski
Genetic dissimilarity between cultivars was correlated with the VOC dissimilarity matrix calculated by Mahalanobis distance proximity measure for VOCs. Correlations between matrices were calculated with the Mantel test.