Study of speciation and spatial variation of pollutants in Anzali Wetland (Iran) using linear regression, Kriging and multivariate analysis

ALabdeh, Dimah; Omidvar, Babak; Karbassi, Abdolreza; Sarang, Amin

doi:10.1007/s11356-020-08126-3

Cited by 9 publications

(6 citation statements)

References 34 publications

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“…Non-parametric k independent sample tests (Kruskal-Wallis test) were used to test if there was a significant difference in the number of the three functional groups. The effects of the selected factors (latitude, longitude, sea surface temperature, scleractinian coral species richness, and reef area) and species life-history traits on forming a nested pattern were evaluated using Spearman's rank correlation analysis [51][52][53][54], which was conducted between the nested matrix rank of the site and factors, as well as the nested matrix rank of species and maximum body length. All sites were divided into two groups based on the nested matrix rank, and independent sample t-tests were used to determine if there were significant differences among the mean values of two groups (scraper, excavator, browser, scraper/total, excavator/total, and browser/total).…”

Section: Statistical Analysesmentioning

confidence: 99%

Geographic Variation in the Species Composition of Parrotfish (Labridae: Scarini) in the South China Sea

et al. 2022

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Since parrotfish in coral reefs are involved in key ecological processes, this study compiled species presence-absence data across 51 sites in the South China Sea to identify and explore the distribution and relationship between species and large-scale factors. A total of 50 species of parrotfish were recorded during the compilation, of which Scarus ghobban Forsskål, 1775 was the most common and widespread. The Nansha Islands, having a vast area of coral reefs and great proximity away from human interference, had the highest abundance with 41 species. Nestedness analysis indicated that the parrotfish community had statistically significant nested patterns in the South China Sea, and the Nansha Islands were the topmost site for the nested matrix rank. Scleractinian coral species richness and log(reef area) both had a significant effect on the site nested matrix rank (p < 0.05), which supports the habitat nestedness hypothesis in the South China Sea. Compared with browsers and excavators, scrapers were determined to be the most important functional group composition, while browsers had a greater contribution to the species nested matrix rank. A linear regression model showed that parrotfish species’ richness increased with increasing longitude, scleractinian coral species richness, and reef area. Longitudinal variations in the parrotfish species richness were related to its distance from the biodiversity hotspot in the Indo-Australian Archipelago. Parrotfish were mainly distributed in the temperature range of 26–29 °C, similar to the optimum temperature for coral growth. The Nansha Islands should be considered biodiversity conservation priority areas for the conservation of parrotfish in degraded coral reef habitats, particularly in the context of increasing natural variability and anthropogenic disturbances.

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Section: Statistical Analysesmentioning

confidence: 99%

Geographic Variation in the Species Composition of Parrotfish (Labridae: Scarini) in the South China Sea

et al. 2022

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“…In order to better explain the rationality and feasibility of the fuzzy AHP comprehensive evaluation method, the fuzzy AHP comprehensive evaluation method is compared with the fuzzy complementary judgment matrix method [34] and multivariate statistical analysis method [35,36].…”

Section: Comparison and Analysismentioning

confidence: 99%

“…Multivariate statistical analysis is a theory and method that uses mathematical statistics to study multivariate (multiple indicators) problems. It is widely used for comprehensive evaluation and analysis of various problems [35,36]. is paper first designed a questionnaire on the factors affecting the level of copyright protection and then carried out cluster analysis, factor analysis, correlation analysis, and regression analysis on the collected data to find out the evaluation index system affecting the level of copyright protection.…”

Section: Comparison With Multivariate Statistical Analysismentioning

confidence: 99%

Evaluation of Cloud Computing Copyright Protection Based on AHP

Peng

2020

Mathematical Problems in Engineering

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To increase the protection level of copyright in cloud computing environment, aiming at the problems that the indicators in the copyright protection evaluation system are difficult to accurately define and cannot be quantified, a comprehensive evaluation model of copyright protection based on the combination of analytic hierarchy process and fuzzy comprehensive evaluation is proposed. First, using the analytic hierarchy process (AHP), the copyright protection evaluation system is constructed and the weight of each evaluation index is determined through the judgment matrix. Then the quantitative evaluation result is fuzzy operated through index weight and evaluated data. Finally, the simulation evaluation results on specific example show that this model is reasonable and effective, and it can provide the evaluation basis and practical reference for copyright protection evaluation in cloud computing environment.

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“…It was listed in the Montreux record as a site needing priority conservation, because it is confronted with high pollution load . Due to the ecological and economic importance of the Anzali Wetland, several environmental studies have been conducted there (ALabdeh et al, 2020;Esmaeilzadeh et al, 2016aEsmaeilzadeh et al, , 2016bShariati et al, 2019). Microplastics contaminating the wetlands were reported earlier in the sediment of the wetland (140-2820 and 113-3690 MPs/kg) ; in its surface water (0.40-4.41 and 0.19-2.85 MPs/m 3 ) ; and in fish tissues (1.1-2.26 MPs/individual) (Rasta et al, 2021) collected from a small area in the Anzali Wetland.…”

Section: Introductionmentioning

confidence: 99%