Frequently asked questions


Converting concentrations between different bases

Contaminant concentrations in biota can be measured and reported on either a wet, dry or lipid weight basis, but must be converted to a common basis for statistical analysis.

The following formulae are used to convert a concentration measurement between bases

\(C_w = C_d \frac {\text{% dry-weight}} {100}\)

\(C_w = C_l \frac {\text{% lipid-weight}} {100}\)

\(C_d = C_l \frac {\text{% lipid-weight}} {\text{% dry-weight}}\)

where \(C_w\), \(C_d\) and \(C_l\) are the concentrations on a wet, dry and lipid weight basis and % dry-weight and % lipid-weight are the percentages of the sample that are dry and lipid respectively. For example, if \(C_d\) = 10 mg kg\(^{-1}\) dw and if 20% of the sample is dry, then \(C_w\) = 2 mg kg\(^{-1}\) ww.

To see how these formulae come about, consider a sample that contains an amount (burden) \(B\) of a contaminant. Let \(W_w\) and \(W_d\) be the wet and dry weight of the sample. Assuming that all of the contaminant is in the dry matter, then:

\(C_w = \frac B {W_w}\)

\(C_d = \frac B {W_d}\)

so

\(C_w \times W_w = B = C_d \times W_d\)

giving

\(C_w = C_d \frac {W_d} {W_w} = C_d \frac {\text{% dry-weight}} {100}\)

Concentration measurements are converted using the % dry-weight or % lipid-weight measured in the same sample. If conversion is necessary and the % dry-weight or % lipid-weight are not reported, then the concentration measurement is discarded. Some Assessment Concentrations also need to be converted to the basis used for statistical analysis, in which case estimates are used of the typical % dry-weight and % lipid-weight for the species and tissue combination of the time series being assessed.

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Reporting organotin concentrations to ICES

Tributyl tin (TBT) derivatives are organo-metallic compounds with the general formula (n-C4H9)3Sn-X. The TBT cation consists of a tin (Sn) atom connected to three butyl groups (CH3CH2CH2CH2-). The TBT cation will be linked to an anion (X in the general formula), such as Cl, F, OH or CO3.

Degradation of TBT usually leads to dibutyl tin (DBT) and then monobuytyl tin (MBT), i.e. by loss of the butyl groups with a steep decrease in toxicity followed by each debutylation.

Sn has an atomic weight of 118.71 and each butyl group has a molecular weight of 57.115, so the whole TBT cation weighs 118.71 + 3 × 57.115 = 290.06. The CAS number for the TBT cation is 36643-28-4. The structure of tributyl tin can be viewed here.

There are two TBT-related ICES parameter codes:

Code Description Recommended unit
TBSN+ tributyl tin cation \(\mu\)g kg\(^{-1}\) (or ng kg\(^{-1}\) etc.)
TBTIN tributyl tin (TBT) - group/mixture - legacy code \(\mu\)g kg\(^{-1}\) (or ng kg\(^{-1}\) etc.)


TBTIN is a ‘group’ parameter (oxides, chlorides, hydroxides) and was the original parameter used for reporting (established around 1990). However, as a ‘group’ parameter, it was not clear what was actually being reported. The Marine Chemistry Working Group (MCWG) therefore recommended that all organotins be reported as the cation concentration. For TBT this would be using parameter TBSN+. Other ions (DBSN+, DOSN+, DPSN+ , MBSN+, MOSN+, MPSN+, TCTIN+, TPSN+) have also been added to PARAM, so all organotins can be submitted as the cation concentration.

Following the MCWG advice, MIME recommends that tributyl tin data should be submitted as the TBT cation concentration using code TBSN+ and units of \(\mu\)g kg-1 (or ng kg-1 etc.). Similarly, dibutyl tin and monobuytyl tin should be reported as the DBT and MBT cation concentrations using codes DBSN+ and MBSN+ and units of \(\mu\)g kg-1.

The units \(\mu\)g Sn kg-1 (or ng Sn kg-1 etc.), which have sometimes been used to report TBT in the past, are no longer allowed.

If reporting laboratories are provided with TBT data in the form of tin ion concentrations, the data can be converted to TBT cation concentrations by multiplying by 2.44 (since the molecular weight of a TBT-cation (290.06) is 2.44 times that of a tin ion (molecular weight = 118.71)). Other conversion factors include 1.96 (DBT), 1.48 (MBT), 2.95 (TPT), 2.30 (DPT) and 1.65 (MPT).

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Station matching in the data extraction

Data extracted from the ICES database are matched to stations in the ICES station dictionary by the read_data function in the harsat R package. There are two basic methods of matching:

  • by station name: the station name submitted with the data is matched to the station with the same name in the ICES station dictionary
  • by coordinates: the sample coordinates submitted with the data are matched to the station that is closest geographically in the ICES station dictionary

Each contracting party specifies the method appropriate for their data. Data are currently (harsat 1.0.2) matched by station name for the following:

  • Denmark
  • France (biota and water - all years; sediment - 2009 onwards)
  • Germany (biota HELCOM - all years; biota OSPAR, biota AMAP, sediment, water - 2023 onwards)
  • Ireland
  • Norway
  • Portugal
  • Spain (2005 onwards)
  • Sweden
  • The Netherlands (2007 onwards)
  • United Kingdom

All other data are matched by coordinates.

Constraints are imposed to improve the matching process. Some of these are global, others depend on whether the extraction is for OSPAR, HELCOM or AMAP purposes. The global constraints are:

  • Data are only matched to stations ‘owned’ by the same contracting party. For example, data submitted by Denmark are only matched to Danish stations in the station dictionary.
  • Data submitted in a particular monitoring year (MYEAR) are only matched to stations that are ‘active’ that year. For example, data submitted for the 2020 monitoring year are only matched to stations for which Station_ActiveFromDate is \(\le\) 2020 and for which Station_ActivelUntilDate is either \(\ge\) 2020 or blank (indicating that monitoring is ongoing).
  • When matching by coordinates, only stations where the sample coordinates lie within the Station_Geometry are considered. The Station_Geometry is often based on the Station_Latitude, Station_Longitude, Station_LatitudeRange and Station_LongitudeRange columns in the station dictionary. Note that, when matching by station name, the sample coordinates do not need to lie within the Station_Geometry; this is something that might be tightened up in the future.

The following constraint depends on whether the extraction is for OSPAR, HELCOM or AMAP purposes (as specified by the purpose argument in read_data):

  • Data are only matched to stations in the appropriate convention area. For example, data for an OSPAR assessment are only matched to stations in the OSPAR area.

OSPAR assessments have these additional constraints:

  • Data are only matched to stations marked for temporal monitoring; i.e. where Station_PURPM contains the string “T”.
  • Data are only matched to stations with the corresponding datatype. For example, contaminants in biota are only matched to stations where Station_DataType contains the string “CF”; biological effects in biota are only matched to stations where Station_DataType contains the string “EF”; and so on.
  • Data are only matched to stations if the data are marked for OSPAR or AMAP monitoring; i.e. if the MPROG information submitted with the data contains one of “JMP”, “CEMP”, “MMP” or “AMAP”. (AMAP allow their data in OSPAR Region 1 to be used in OSPAR assessments.)
  • Data are only matched to stations marked for OSPAR or AMAP monitoring; i.e. where Station_ProgramGovernance contains the string “OSPAR” or “AMAP”.

HELCOM or AMAP assessments have no additional constraints at present.

This complexity has arisen because data submissions have evolved over time and are inconsistent (both within and between contracting parties). For example, station naming conventions have often been updated. It has been easier to build constraints around the entries in the station dictionary, because the station dictionary is simple to update and resubmit. Updating and resubmitting data is much harder for some contracting parties, particularly if the data are from some time ago.

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