Identification of macro-invertebrate taxa as indicators of nutrient enrichment in rivers

Paisley, M. F.; Walley, William J.; Trigg, David

doi:10.1016/j.ecoinf.2011.09.002

Cited by 8 publications

(12 citation statements)

References 33 publications

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“…Similarly, the LIFE score uses the proportion of flow sensitive invertebrates in a sample to describe the prevailing flow conditions at that site (Extence et al 1999). Finally, the TRPI (Everall, 2010) uses the proportion of phosphorous tolerant and intolerant macroinvertebrates in a sample according to various river types and seasons (Paisley et al, 2003;Paisley et. al., 2011).…”

Section: Biological Scoring Methodsmentioning

confidence: 99%

Comparability of macroinvertebrate biomonitoring indices of river health derived from semi-quantitative and quantitative methodologies

Everall¹,

Johnson

Wood

et al. 2017

Ecological Indicators

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Aquatic macroinvertebrates have been the basis for one of the primary indicators and a cornerstone of lotic biomonitoring for over 40 years. Despite the widespread use of lotic invertebrates in statutory biomonitoring networks, scientific research and citizen science projects, the sampling methodologies employed frequently vary between studies. Routine statutory biomonitoring has historically relied on semi-quantitative sampling methods (timed kick sampling), while much academic research has favoured fully quantitative methods (e.g. Surber sampling). There is an untested assumption that data derived using quantitative and semi-quantitative samples are not comparable for biomonitoring purposes. As a result, data derived from the same site, but using different sampling techniques, have typically not been analysed together or directly compared. Here, we test this assumption by comparing a range of biomonitoring metrics derived from data collected using timed semi-quantitative kick samples and quantitative Surber samples from the same sites simultaneously. In total, 39 pairs of samples from 7 rivers in the UK were compared for two seasons (spring and autumn). We found a strong positive correlation (rs = +0.84) between estimates of taxa richness based on ten Surber sub-samples and a single kick sample. The majority of biomonitoring metrics were comparable between techniques, although only fully quantitative sampling allows the density of the community (individual m-2) to be determined. However, this advantage needs to be balanced alongside the greater total sampling time and effort associated with the fully quantitative methodology used here. Kick samples did not provide a good estimate of relative abundance of a number of species / taxa and, therefore, the quantitative method has the potential to provide important additional information which may support the interpretation of the biological metrics.

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Section: Biological Scoring Methodsmentioning

confidence: 99%

Comparability of macroinvertebrate biomonitoring indices of river health derived from semi-quantitative and quantitative methodologies

Everall¹,

Johnson

Wood

et al. 2017

Ecological Indicators

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“…It should however be noted that TP is a supporting quality element in the classification of rivers and does not alone fulfill the requirement of the WFD ecological status assessment. The use of TP instead of yet relatively scarcely available ecological metrics in most Finnish rivers can be justified by statistical connection proved between the biological indicators and phosphorus concentrations (e.g., Paisley et al 2011 ). Additionally, TP in rivers is intensively and regularly sampled, which allows for feasible estimation of its variance components.…”

Section: Discussionmentioning

confidence: 99%

A practical approach to improve the statistical performance of surface water monitoring networks

Kotamäki

Järvinen

Kauppila

et al. 2019

Environ Monit Assess

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The representativeness of aquatic ecosystem monitoring and the precision of the assessment results are of high importance when implementing the EU’s Water Framework Directive that aims to secure a good status of waterbodies in Europe. However, adapting monitoring designs to answer the objectives and allocating the sampling resources effectively are seldom practiced. Here, we present a practical solution how the sampling effort could be re-allocated without decreasing the precision and confidence of status class assignment. For demonstrating this, we used a large data set of 272 intensively monitored Finnish lake, coastal, and river waterbodies utilizing an existing framework for quantifying the uncertainties in the status class estimation. We estimated the temporal and spatial variance components, as well as the effect of sampling allocation to the precision and confidence of chlorophyll- a and total phosphorus. Our results suggest that almost 70% of the lake and coastal waterbodies, and 27% of the river waterbodies, were classified without sufficient confidence in these variables. On the other hand, many of the waterbodies produced unnecessary precise metric means. Thus, reallocation of sampling effort is needed. Our results show that, even though the studied variables are among the most monitored status metrics, the unexplained variation is still high. Combining multiple data sets and using fixed covariates would improve the modeling performance. Our study highlights that ongoing monitoring programs should be evaluated more systematically, and the information from the statistical uncertainty analysis should be brought concretely to the decision-making process.

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“…TRPI was developed utilising prior, published analysis that identified macroinvertebrate taxa had strong statistical associations with TRP (Paisley et al, 2003;Everall, 2010;Paisley et. al., 2011).…”

Section: Background Work On Invertebrate Family Sensitivity To Trpmentioning

confidence: 99%

“…This was corroborated by neural network analysis which demonstrated good statistical agreement with MI analysis (discussed further in Paisley et al 2003). Paisley et. al.…”

Section: Background Work On Invertebrate Family Sensitivity To Trpmentioning

confidence: 99%

See 1 more Smart Citation

Macroinvertebrate community structure as an indicator of phosphorus enrichment in rivers

Everall¹,

Johnson

Wood

et al. 2019

Ecological Indicators

View full text Add to dashboard Cite

Identification of macro-invertebrate taxa as indicators of nutrient enrichment in rivers

Cited by 8 publications

References 33 publications

Comparability of macroinvertebrate biomonitoring indices of river health derived from semi-quantitative and quantitative methodologies

Comparability of macroinvertebrate biomonitoring indices of river health derived from semi-quantitative and quantitative methodologies

A practical approach to improve the statistical performance of surface water monitoring networks

Macroinvertebrate community structure as an indicator of phosphorus enrichment in rivers

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