Quantile regression analysis as a predictive tool for lake macroinvertebrate biodiversity

Fornaroli, Riccardo; Cabrini, R; Zaupa, Silvia; Bettinetti, Roberta; Ciampittiello, Marzia; Boggero, Angela

doi:10.1016/j.ecolind.2015.10.024

Cited by 17 publications

(11 citation statements)

References 37 publications

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“…Water features were measured for each sampling point in each lake according to Fornaroli and co-authors [25], and include both physical and chemical metrics: temperature, oxygen concentration, pH, conductivity, alkalinity, total phosphorus (TP) and total nitrogen (TN) (Table S1).…”

Section: Sampling Methodologymentioning

confidence: 99%

“…The index is based on a species-level approach for all benthic macroinvertebrates, mainly for chironomids and oligochaetes, co-dominating lake benthic communities. Then, in a second step, using quantile regression analysis, a rapid bio-assessment methodology of quality conditions has been set up to be submitted to the authorities responsible for water monitoring and to water managers [25]. The application of the rapid bio-assessment methodology has the objective of optimizing the sampling procedures of the national standardized protocol for monitoring lakes [26].…”

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confidence: 99%

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The Benthic Quality Index to Assess Water Quality of Lakes May Be Affected by Confounding Environmental Features

Boggero

Zaupa

Bettinetti

et al. 2020

Water

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To assess if environmental differences other than water quality may affect the outcome of the Benthic Quality Index, a comparison of the application of four different methods (Benthic Quality Index—BQIES, Lake Habitat Modification Score—LHMS, Lake Habitat Quality Assessment—LHQA and Organisation for Economic Co-operation and Development—OECD) used to classify the lake ecological and hydro-morphological status of 10 Italian lakes was performed. Five lakes were natural and five were reservoirs belonging to both Alpine and Mediterranean Ecoregions. The 10 lakes were sampled using the Water Framework Directive compliant standardized national protocol, which includes sampling soft sediment in the littoral, sublittoral and deep layers along transects with a grab of 225 cm2 during spring and autumn. The application of Generalised Linear Mixed Effect Models both at the lake level and at the single station of each lake highlighted that, at the lake level, no significant correlations existed between any couple of hydro-morphological, ecological and trophic status assessments, with each metric representing a different facet of human impact on the environment. At the single site level, we found significant effects of depth on the metrics of biodiversity. The best approximation of single-site macroinvertebrates diversity among the metrics of overall lake quality was with the LHMS, but not with the BQIES. Our hypotheses that lake macroinvertebrates assemblages depend also on other potential confounding variables of habitat degradation and intrinsic differences between lakes were confirmed, with depth playing a major role. Therefore, the assessment of lakes with different depths may produce different whole-lake BQIES values, only because of the effect of depth gradient and not because of differences in lake quality.

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Section: Sampling Methodologymentioning

confidence: 99%

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confidence: 99%

The Benthic Quality Index to Assess Water Quality of Lakes May Be Affected by Confounding Environmental Features

Boggero

Zaupa

Bettinetti

et al. 2020

Water

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“…Macroinvertebrates were represented by 12,483 individuals, divided in 136 taxa at the level of species, genus, or family depending on the phylum (Annelida, Arthropoda, Mollusca, and Plathyhelminthes) due to the presence of young-of-the-year organisms (see SM1 associated with [13]).…”

Section: Biological Assessmentmentioning

confidence: 99%

“…Regarding lakes, in Italy, the Benthic Quality Index (BQIES) was developed and implemented considering eutrophication as the main pressure [10,11], because of its importance in the national territory, given that nearly 41% of the Italian lakes are eutrophic [12]. The BQIES is based on detailed taxonomical identification on macroinvertebrates, mostly at the species level [13].…”

Section: Introductionmentioning

confidence: 99%

Biological, Chemical, and Ecotoxicological Assessments Using Benthos Provide Different and Complementary Measures of Lake Ecological Status

Bettinetti

Zaupa

Fontaneto

et al. 2020

Water

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The Water Framework Directive (WFD) aims to monitor continental water bodies in Europe to achieve good ecological status. Indexes based on biological quality elements (BQEs), ecotoxicological tests, and chemical characterizations are commonly used with standardized protocols to assess sediment quality and the associated risks. Here, we compare the results of quality assessment of benthic macroinvertebrates as BQEs as required by the WFD with the results of ecotoxicological tests and assessment of selected persistent organic pollutants (POPs) in sediments of the same eight water bodies in Italy. The aim was to verify if the assessment of quality through macroinvertebrates through POPs analyses and ecotoxicological tools can yield comparable, overlapping, or complementary results. We used the Benthic Quality Index (BQIES) for macroinvertebrates (two different applications), legacy POPs (dichloro-diphenyl-trichloroethane and metabolites (DDTs) and polychlorinated-biphenyls (PCBs)), and the emergence ratio (ER) and development rate (DR) for ecotoxicology. The results showed that the two indices within each approach were highly correlated, but between approaches, each result can lead to a completely different scenario, with rather different results of the assessment of ecosystem quality. The most striking result was that very few significant correlations existed between sediment quality assessment through macroinvertebrates and the risk assessment through analyses of micropollutants and ecotoxicological tests. The highest absolute r-value (0.81) was for the correlation between the BQIESbottom index and PCBs for micropollutants, whereas all other pairwise comparisons between indices had r-values ranging between 0.07 and 0.53. Our analysis calls for a caveat in the blind application of one or only a few indices of water/sediment quality, as the results of a single index may not represent the complexity of a freshwater ecosystem.

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“…The four communities allow us to analyze various characteristics of rural households economies in Mexico that can be advantages or restrictions to entry in the local and global markets. The MRHE involves five community equations, which are significant for ANOVA (analysis of variance) and t tests (p < 0.05); multicollinearity diagnosis showed that the variance inflation factor (VIF) is less than 7.538, so problems of multicollinearity are not significant (Norusis, 1990;Fornaroli, Cbrini, Zaupa, Bettinetti, Ciampitiello, & Boggero, 2016). The equations of Tepehuaje and Barda are non-linear and those of Otatitlán and Yatoni are linear.…”

Section: Equations Of the Modelmentioning

confidence: 99%

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According to the consensus view, central banks reached a high level of independence by the end of last century. This paper argues that as a result short-term political considerations applied during the appointment process of central bank decision-makers, their actual independence was at a lower level already that time. In most countries, de jure independence is higher than de facto. India is one of the very rare countries where the reverse is the case.

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Quantile regression analysis as a predictive tool for lake macroinvertebrate biodiversity

Cited by 17 publications

References 37 publications

The Benthic Quality Index to Assess Water Quality of Lakes May Be Affected by Confounding Environmental Features

The Benthic Quality Index to Assess Water Quality of Lakes May Be Affected by Confounding Environmental Features

Biological, Chemical, and Ecotoxicological Assessments Using Benthos Provide Different and Complementary Measures of Lake Ecological Status

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