COASTAL MARINE WATERS – BIOLOGICAL QUALITY ELEMENT ANGIOSPERMS POSIDONIA OCEANICA PREI INDEX

Data aggiornamento scheda
Autori

Marina Penna

Abstract

In the assessment of the ecological quality of coastal marine environments within the framework of the European Directive 2000/60/EC (transposed by Legislative Decree 152/2006 and subsequent amendments), reference is made to the Biological Quality Element (BQE) Angiosperms. This BQE in Italy, as provided for by the Ministry of the Environment Decree 260/2010, is evaluated through the PREI (Posidonia Rapid Easy Index). In this context, in fact, the meadows of Posidonia oceanica (L.) Delile take on considerable importance in assessing the ecological quality of coastal marine environments, given their wide distribution and sensitivity to sources of disturbance of anthropogenic origin. The classification of this BQE is carried out where, for reasons of geographical distribution, the meadow is present, i.e., in the Tyrrhenian regions and in Apulia. The data analyzed show that more than 80% of the meadows are in "good" or "high" status.

Descrizione

The PREI (Posidonia Rapid Easy Index) is a multimetric index based on univariate statistics. It is based on the analysis of five different descriptors of the Posidonia oceanica meadow under study. From the degree of deviation from reference conditions (Environmental Quality Ratio, EQR), the PREI index provides information on the "ecological status" of the water body and its classification into one of the five classes: "high status," "good status," "moderate status," "poor status," "bad status" (as per Directive 2000/60/EC).
The classification of this BQE is carried out where, for reasons of geographical distribution, the meadow is present, i.e., in the Tyrrhenian regions and in Apulia.

Scopo

To formulate an ecological quality assessment for coastal marine environments within the framework of the current legislation (Legislative Decree 152/2006 and subsequent amendments), through the use of the Biological Quality Element (BQE) Angiosperms, integrating over time the effects of different causes of physical, chemical, and biological alterations, induced by pollutants in the water and sediments, or by significant physico-morphological alterations of the coastal stretch.

Rilevanza
È di portata nazionale oppure applicabile a temi ambientali a livello regionale ma di significato nazionale
È semplice, facile da interpretare.
Fornisce un quadro rappresentativo delle condizioni ambientali, delle pressioni sull'ambiente e delle risposte della società.
It has a threshold or reference value against which it can be compared.
Solidità
È basato su standard nazionali/internazionali e sul consenso nazionale/internazionale circa la sua validità
È ben fondato sul piano tecnico e scientifico.
Presenta affidabilità e attendibilità dei metodi di misurazione e raccolta dei dati
Comparabilità nel tempo
Comparabilità nello spazio
Misurabilità (dati)
Adeguatamente documentati e di fonte nota
Aggiornati a intervalli regolari e con procedure affidabili
Facilmente disponibili o resi disponibili a fronte di un ragionevole rapporto costi/benefici
Un’ “adeguata” copertura spaziale
Principali riferimenti normativi e obiettivi

Water Framework Directive (2000/60/EC); Legislative Decree 152/06 “Consolidated Act on Water”; Ministerial Decree 56/09 “Regulation containing «Technical criteria for the monitoring of water bodies and the identification of reference conditions for the amendment of the technical standards of Legislative Decree April 3, 2006, no. 152, containing Environmental regulations, prepared pursuant to Article 75, paragraph 3, of the same Legislative Decree»”; Ministerial Decree 260/10 “Regulation containing the technical criteria for the classification of the status of surface water bodies, for the amendment of the technical standards of Legislative Decree April 3, 2006, no. 152, containing environmental regulations, prepared pursuant to Article 75, paragraph 3, of the same Legislative Decree”.
Class limits defining the thresholds of the Ecological Quality Ratio (EQR):
1 – 0.775 High
0.774 – 0.550 Good
0.549 – 0.325 Moderate
0.324 – 0.100 Poor
< 0.100 – 0 Bad

DPSIR
Stato
Tipologia indicatore
Descrittivo (A)
Performance (B)
Riferimenti bibliografici

Gobert, S., Sartoretto, S., Rico-Raimondino, V., Andral, B., Chery, A., Lejeune, P., Boissery, P., 2009. Assessment of the ecological status of Mediterranean French coastal waters as required by the Water Framework Directive using the Posidonia oceanica Rapid Easy Index (PREI). Marine Pollution Bulletin 58, 1727–1733;
Bacci T., Rende S. F., Penna M., Trabucco B., Montefalcone M, Cicero A. M., Giovanardi F., 2013. A methodological approach to understand functional relationships between ecological indices and human-induced pressures: the case of the Posidonia oceanica meadows. Journal of Environmental Management 129, 540-547.

Fonte dei dati

ARPA costiere

Frequenza di rilevazione dei dati
Three-year
Accessibilità dei dati di base

Dati EIONET/SOE e Piani di Distretto 
www.sintai.isprambiente.it/faces/public/WFD/index.xhtml

Copertura spaziale

Coastal regions

Copertura temporale

2019-2022

Descrizione della metodologia di elaborazione

The PREI Index includes the calculation of five descriptors: meadow density (shoots m⁻²); leaf area per shoot (cm² shoot⁻¹); ratio between epiphyte biomass (mg shoot⁻¹) and leaf biomass per shoot (mg shoot⁻¹); depth of the lower limit and type of the lower limit.
Meadow density, leaf area per shoot, and the ratio between epiphyte biomass and leaf biomass are assessed at the standard depth of 15 m; in cases where the bathymetric development of the meadow does not allow sampling at the standard depth, an appropriate depth specific to the case may be chosen, with a justification.

The method for calculating the PREI index involves applying the following equation:
EQR = (EQR’ + 0.11)/(1 + 0.10)
where EQR’ = (Ndensity + Nleaf area per shoot + Nepiphyte biomass/leaf biomass + Nlower limit)/3.5

where:

  • Ndensity = (measured value – 0) / (reference value – 0), where “0” is the value indicating poor conditions.
  • Nleaf area per shoot = (measured value – 0) / (reference value – 0), where “0” indicates poor conditions.
  • Nepiphyte biomass/leaf biomass = [1 – (epiphyte biomass/leaf biomass)] * 0.5.
  • Nlower limit = (N' – 12) / (reference depth value – 12), where 12 m is considered the minimum lower limit depth indicating poor conditions.
  • N' = measured depth of the lower limit + lambda, where
    • lambda = 0 (stable lower limit),
    • lambda = 3 (progressive lower limit),
    • lambda = -3 (regressive lower limit).

For classification purposes, the conclusions shared at the EU level, which all classification indices (including PREI) adhere to, are reported below:

  1. Identification of "bad" status
    “Bad” status is identified under environmental conditions incompatible with the survival of Posidonia oceanica; in particular, it corresponds to a recent (< 5 years) disappearance of the meadow.
  2. Definition of EQR intervals
    The “poor-bad” interval value has been arbitrarily set at 0.1; not wishing to create unequal classes, the remaining EQR scale was thus divided into four equal parts.
Periodicità di aggiornamento
Triennale
Data quality

The information reported is on a national scale where, for biogeographical reasons, the classified habitat (the P. oceanica meadow) can be found. The proposed indicator has been tested based on its sensitivity to the main pressures affecting the coastal zone and is aligned with the regulatory requirements expressed by the Water Framework Directive (2000/60/EC), allowing classification into 5 ecological quality classes. Furthermore, it has been intercalibrated at the European level, thus ensuring high data comparability and is based on a solid scientific background.

Stato
Buono
Trend
Non definibile
Valutazione/descrizione dello stato

More than 80% of the analyzed stations fall within the “good” and “high” status; however, 18% of stations are in “moderate” status, therefore below the regulatory target (achievement of “good” status).

Valutazione/descrizione del trend

The trend is not yet definable due to the lack of robust time series data.

Commenti

The data for the period 2019–2022 show good national coverage. However, there is some heterogeneity regarding the number of classified stations per region analyzed, ranging from a minimum of 3 in Lazio to a maximum of 30 in Sicily (Figure 1). The region with the highest percentage of stations in “moderate” status is Apulia (60%), while only in Sardinia, Sicily, and Tuscany are there stations in “high” class (Figure 1).
However, the data relating to the Apulian meadows is open to interpretation because the peculiar biogeographical situation of this region gives the meadow a singular morpho-functional structure, which only partially allows for a meaningful comparison with the reference conditions imposed by current legislation.
In summary, at the national level, for the period 2019–2022, more than 80% of stations reached the quality standard (at least “good”) (Figure 2).

Data
Allegati
Thumbnail
Titolo

Figure 1: Ecological classification of stations by region according to the EQB Angiosperms (PREI) (2019-2022)

Fonte

Sintai Eionet SoE

Thumbnail
Titolo

Figure 2: National Ecological Classification of Stations Based on EQB Angiosperms (PREI) (2019-2022)

Fonte

Sintai Eionet SoE