The Use of Zooplankton Metrics to Determine the Trophic Status and Ecological Potential: An Approach in a Large Mediterranean Watershed

In the European Water Framework Directive, zooplankton was not included as a Biological Quality Element despite its important place in the aquatic trophic web. In the present study on zooplankton abundances and biomasses, we used several metrics to test their ability to detect differences among trophic statuses and ecological potential levels, and collected a large sum of data in more than 60 reservoirs at Ebro watershed, on more than 300 sampling occasions over 10 years. Our results indicate that most zooplankton metrics are correlated to environmental variables that determine reservoirs’ trophic states, especially chlorophyll a and total phosphorus. The metrics with better sensitivity to differentiate trophic states and ecological potential levels were ZOO (total zooplankton), LZOO (large zooplankton), CLAD (cladocerans), and ZOO:CHLA (zooplankton:chlorophyll a ratio). Microcrustacean metrics such as DAPHN (Daphnia), COP (copepods), CYCLO (cyclopoids), and CALA (calanoids) were good at differentiating between high and low water quality in trophic status (oligotrophic–eutrophic) and ecological potential (good or superior–moderate). Thus, zooplankton can be used as a valuable tool to determine water quality; we believe that zooplankton should be considered a Biological Quality Element within Water Framework Directive monitoring programs for inland waters.

Ecological Quality Status of the Algiers coastal waters by using macroalgae assemblages as bioindicators (Algeria, Mediterranean Sea)

Macroalgae assemblages have been used as a quality element for the assessment of the Ecological Status Classes (ESC) of coastal water bodies for the implementation of the European Water Framework Directive (WFD, 2000/60/EC). To assess the suitability of this quality element in Algiers coasts, seven sampling sites with five (5) replications covering a wide range of anthropogenic pressures were studied during spring and summer 2015. Coverage data of macroalgae in each sampling site were analyzed on species, i.e., structural (species number, nMDS, clustering, K-dominance and Simper analysis on Bray–Curtis similarity) and on Ecological Status Groups, i.e., functional (nMDS, clustering, K-dominance, Ecological Evaluation Index/EEI-c) biological levels. Key water variables (temperature, salinity and pH) along with the anthropogenic stress index MALUSI were also estimated. The obtained results revealed a significant effect of anthropogenic stress in the macroalgal assemblages. The structural analysis showed: (1) species richness of 86 taxa in total, (2) dominance of Cystoseira amentacea var. stricta (late-successional) associated by Lithophyllum incrustans, and Jania rubens in non-impacted sites and of Ulva rigida, Ulva intestinalis and Caulerpa cylindracea (opportunistic) species in impacted sites, and (3) record a higher proportion of low abundance of species in polluted communities than in less polluted communities. The functional analysis showed: (1) classification of sites based on multivariate and K-dominance analyses in four groups, three in agreement with water degradation, and one for low salinity influence, (2) classification of sites into “Bad”, ”High”, “Moderate” and “Good” ESC’s by EEI-c index, (3) a strong non-linear relationship (R²=0.85) of EEI-c index with MALUSI index. Therefore, to implement a national monitoring program within the scope WFD in Algeria coasts, the EEI-c index will be a suitable tool.

Perception of Service Quality in Hotel Industry: A Case of Five Star Hotels of Jaipur City

Service quality is increasingly being emphasized by industries today as it not only offers a competitive advantage but also ensures a sustainable advantage for them. The present study uses the SERVQUAL instrument for measuring service quality in the various 5 star hotels of Jaipur city and tries to identify the various dimensions which contribute to customer satisfaction. The results reveal that the correlation of tangibility and reliability was low (.110) and between responsiveness and empathy was also less (.059). The results show a positive statistical significance between customer satisfaction and the dimensions of assurance and responsiveness while there was found to be less correlation between customer satisfaction and the dimensions of tangibility and empathy. The standard deviation also ranges between 0.189 to 0.458. The results reveal that the relative relationship between the various dimensions and customer satisfaction vary and that the total service quality also varies from service to service. Hence the specific impact of each quality element should be taken into account before designing the services processes.