Ecological Evaluation Index continuous formula (EEI-c) application: a step forward for functional groups, the formula and reference condition values

The Ecological Evaluation Index continuous formula (EEI-c) was designed to estimate the habitat- based ecological status of rocky coastal and sedimentary transitional waters using shallow benthic macrophyte communities as bioindicators. This study aimed to remedy the weaknesses of the currently used EEI methodology in: (1) ecological status groups (ESG), (2) the formula, and (3) reference condition values. A cluster analysis of twelve species traits was used to delineate ESGs. Two main clusters (ESG I, late-successional; ESG II, opportunistic) were identified that were hierarchically divided into three and two sub-clusters, respectively: ESG I comprised thick perennial (IA), thick plastic (IB) and shade-adapted plastic (IC) coastal water species, and angiosperm plastic (IA), thick plastic (IB) and shade-adapted plastic (IC) transitional water species. ESG II comprised fleshy opportunistic (IIB) and filamentous sheet-like opportunistic (IIA) species both in coastal and transitional waters. To avoid discrete jumps at the boundaries between predefined ecological categories, a hyperbolic model that approximates the index values and expresses the ecosystem status in continuous numbers was developed. Seventy-four quantitative and destructive samples of the upper infralittoralCystoseira crinita and coastal lagoonRuppia cirrhosa communities from tentative pristine to less impacted sites in Greece verified 10 as an ‘ideal’ EEI-c reference condition value.

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Selection of metrics based on the seagrass Cymodocea nodosa and development of a biotic index (CYMOX) for assessing ecological status of coastal and transitional waters

Estuarine Coastal and Shelf Science ◽

10.1016/j.ecss.2011.08.022 ◽

2012 ◽

Vol 114 ◽

pp. 7-17 ◽

Cited By ~ 34

Author(s):

Silvia Oliva ◽

Oriol Mascaró ◽

Izaskun Llagostera ◽

Marta Pérez ◽

Javier Romero

Keyword(s):

Ecological Status ◽

Biotic Index ◽

Cymodocea Nodosa ◽

Transitional Waters ◽

Coastal And Transitional Waters ◽

Selection Of

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Further improvement, validation, and application of CymoSkew biotic index for the ecological status assessment of the Greek coastal and transitional waters

Ecological Indicators ◽

10.1016/j.ecolind.2020.106727 ◽

2020 ◽

Vol 118 ◽

pp. 106727 ◽

Cited By ~ 1

Author(s):

Sotiris Orfanidis ◽

Vasillis Papathanasiou ◽

Nikolaos Mittas ◽

Theodosios Theodosiou ◽

Alexis Ramfos ◽

...

Keyword(s):

Ecological Status ◽

Biotic Index ◽

Transitional Waters ◽

Ecological Status Assessment ◽

Status Assessment ◽

Coastal And Transitional Waters

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A Novel Approach for Deriving Nutrient Criteria to Support Good Ecological Status: Application to Coastal and Transitional Waters and Indications for Use

Frontiers in Marine Science ◽

10.3389/fmars.2019.00255 ◽

2019 ◽

Vol 6 ◽

Cited By ~ 5

Author(s):

Fuensanta Salas Herrero ◽

Heliana Teixeira ◽

Sandra Poikane

Keyword(s):

Ecological Status ◽

Nutrient Criteria ◽

Transitional Waters ◽

Novel Approach ◽

Coastal And Transitional Waters ◽

Good Ecological Status ◽

Indications For Use

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Development of tools for ecological quality assessment in the Polish marine areas according to the Water Framework Directive. Part IV — preliminary assessment

Oceanological and Hydrobiological Studies ◽

10.2478/s13545-012-0022-2 ◽

2012 ◽

Vol 41 (3) ◽

pp. 1-10 ◽

Cited By ~ 4

Author(s):

Andrzej Osowiecki ◽

Elżbieta Łysiak-Pastuszak ◽

Lidia Kruk-Dowgiałło ◽

Magdalena Błeńska ◽

Paulina Brzeska ◽

...

Keyword(s):

Quality Assessment ◽

Water Framework Directive ◽

Ecological Status ◽

Biotic Index ◽

Preliminary Assessment ◽

Transitional Waters ◽

Assessment Index ◽

Coastal And Transitional Waters ◽

Marine Areas ◽

Good Ecological Status

AbstractA set of classification methods was developed for the Polish coastal and transitional waters regarding the biological quality elements — phytoplankton, macrophytes and macroinvertebrates as required by the EU Water Framework Directive. Mean summer chlorophyll-a and total summer biomass of phytoplankton were proposed as indicators in the phytoplankton assessment. Macrophytes were assessed by the Macrophyte Quality Assessment Index, including biomass and percent bottom coverage of the selected taxa. Macroinvertebrate assessment was based on a biotic index comprising abundance, dominance structure, taxonomical richness and species sensitivity/tolerance to eutrophication. A preliminary assessment of the ecological status revealed that the coastal and transitional waters failed to reach a ‘good’ ecological status.

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Assessing the Pollution Level in the Kuban River Basin by Multivariate Cluster Analysis

Asian Journal of Water Environment and Pollution ◽

10.3233/ajw200053 ◽

2020 ◽

Vol 17 (4) ◽

pp. 73-80 ◽

Cited By ~ 1

Author(s):

Vera Snezhko ◽

Dmitrii Benin ◽

Artem Lukyanets ◽

Larisa Kondratenko

Keyword(s):

Cluster Analysis ◽

River Basin ◽

Ecological Status ◽

Chemical System ◽

Pollution Level ◽

Multivariate Cluster Analysis ◽

Water Chemical Composition ◽

Aluminium Copper ◽

Kuban River ◽

Multivariate Cluster

Considering features of hydrological conditions for hydro-chemical system, this paper analyses the performance of the hydro-ecological status of the Kuban river basin.. The results of the study on water chemical composition depending on the distance from the source are presented. By comparing the results with the reference values of water quality, increased aluminium, zinc, and copper content was established. Respective dendrograms of hydro-ecological studies obtained according to performed analysis for the Kuban River and its tributaries are presented. The relevance of the findings received is p<0.0005 and the correlation coefficient corresponds to 0.935...1. The results of multivariate cluster analysis showed that the Kuban basin has an increased content of particular heavy metals such as aluminium, copper, and zinc.

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Phytosociological surveys: tools for weed science?

Planta Daninha ◽

10.1590/s0100-83582013000200025 ◽

2013 ◽

Vol 31 (2) ◽

pp. 469-482 ◽

Cited By ~ 17

Author(s):

G. Concenço ◽

M. Tomazi ◽

I.V.T. Correia ◽

S.A. Santos ◽

L. Galon

Keyword(s):

Cluster Analysis ◽

Plant Species ◽

Plant Community ◽

Plant Communities ◽

Distinct Group ◽

Weed Science ◽

Comprehensive Overview ◽

Ecological Evaluation ◽

Natural Plant ◽

Ecological Basis

In simple terms, a phytosociological survey is a group of ecological evaluation methods whose aim is to provide a comprehensive overview of both the composition and distribution of plant species in a given plant community. To understand the applicability of phytosociological surveys for weed science, as well as their validity, their ecological basis should be understood and the most suitable ones need to be chosen, because cultivated fields present a relatively distinct group of selecting factors when compared to natural plant communities. For weed science, the following sequence of steps is proposed as the most suitable: (1) overall infestation; (2) phytosociological tables/graphs; (3) intra-characterization by diversity; (4) inter-characterization and grouping by cluster analysis. A summary of methods is established in order to assist Weed Science researchers through their steps into the realm of phytosociology.

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Monitoring Scotland’s transitional water fish communities under the EU Water Framework Directive

10.37208/tgn27318 ◽

2021 ◽

Vol 27 (3) ◽

pp. 48-67

Author(s):

M. O’Reilly ◽

J. Boyle ◽

S. Nowacki ◽

M. Elliott ◽

R. Foster

Keyword(s):

Water Framework Directive ◽

Assessment Tool ◽

Reference Conditions ◽

Ecological Status ◽

Fish Communities ◽

High Status ◽

Eu Water Framework Directive ◽

Transitional Waters ◽

Water Fish ◽

The Eu

The history of monitoring transitional water fish in Scotland is briefly outlined. The requirements of the EU Water Framework Directive are explained and how this applies to the monitoring of transitional water fish communities in Scotland is described. The development of a monitoring programme for Scotland is outlined, including sampling methods and strategies. Six transitional waters were selected as representative for Scotland covering three different types of transitional water. A multi-metric tool, the Transitional Water Fish Classification Index was used to assess the ecological status of the fish communities in these waters and the operation of the different metrics and the creation of appropriate reference conditions is explained. The assessment tool was applied to survey data from 2005 to 2018, although only the more recent data fully met the tool requirements. The species composition and abundances in the respective transitional waters were compared. The fully valid surveys were all classed as of Good or High status, indicating the fish communities in all the representative transitional waters appeared to be in good ecological health. The efficacy of the different metrics is considered and some issues with Metric 2, enumerating migratory species, are discussed at length. A new multi-metric tool, the Estuarine Multi-metric Fish Index, is briefly discussed and its introduction for the assessments in Scotland is recommended.

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An Evaluation Model of Enterprise Informatization Level Based on Grey Whitenization Weight Cluster Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.189-193.823 ◽

2011 ◽

Vol 189-193 ◽

pp. 823-829

Author(s):

De Ling Yang ◽

Wan Ming Chen

Keyword(s):

Cluster Analysis ◽

Index System ◽

Evaluation Model ◽

Evaluation Index System ◽

Evaluation Index ◽

Enterprise Informatization ◽

Grey Incidence Analysis ◽

Index Weight ◽

Incidence Analysis

According to the existing insufficiency of researches of enterprise informatization level evaluation, building an evaluation model of enterprise informatization level based on grey whitenization weight cluster analysis. First, based on the existing research, build an evaluation index system of enterprise informatization level. Then, by using grey incidence analysis idea, put forward a method to determine index weight. And then, construt an evaluation model of enterprise informatization level based on grey whitenization weight cluster analysis. Finally, test the validity of the model through the application example.

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