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Returns species list used by Norwegian index calculations

Source: R/NO_species.R
NO_species.Rd

NO_species() returns a dataframe with list of species and sensitivities for use in functions calculating Norwegian indices ISI() and NSI().

latest version 13th November 2024

Usage

NO_species()

Value

A data frame with 760 rows* and 10 columns:

species

Species name or genus (spp.)

ES100avg_2018

Species sensitivity value for ES100 used to calculate NSI() version 2018

ES100min5_2018

Species sensitivity value used to calculate ISI() version 2018

ES100avg_2012

Species sensitivity value for ES100 used to calculate NSI() version 2012

ES100min5_2012

Species sensitivity value used to calculate ISI() version 2012

group_AMBI

AMBI species group. This information is included by Borgersen et al. (2019). For the authoritative list see AMBI_species()

group_NSI

NSI species group. See Borgersen et al. (2019)

group_ISI

ISI species group

Revidert

Indicates that information has been revised.

Kommentar

Comment in Norwegian describing revision.

Details

This table contains the species-specific sensitivities used to calculate the Norwegian indices ISI() and NSI().

Similarly to the AMBI index, the principle of the Norwegian quality indices is that high species diversity indicates good environmental status and species primarily found at sites with high diversity and considered sensitive, while sites with low species diversity are considered as stressed environments and species more frequently found at such sites are considered more tolerant. Species diversity thus serves as a proxy for the degree of disturbance at a site.

The calculation of species sensitivity values for ISI and NSI is based on analysis of ES100 values calculated for a large number of grab samples from the Norwegian monitoring data. The sensitivity values for a species are the weighted averages of ES100 values across samples where the species was present.

  • ES100avg_2018
    The weighted average of ES100 values across samples where the species was present. Theses are the updated 2018 values.

  • ES100min5_2018
    The weighted average of ES100 values across samples where the species was present but based on the 5 samples having the lowest ES100 value. This value was determined only for species found in at least six samples. Theses are the updated 2018 values.

  • ES100avg_2012
    The weighted average of ES100 values across samples where the species was present. These are the values determined by Rygg & Norling (2013)

  • ES100min5_2012
    The weighted average of ES100 values across samples where the species was present but based on the 5 samples having the lowest ES100 value. This value was determined only for species found in at least six samples. These are the values determined by Rygg & Norling (2013)

, For more details, please see Borgersen et al. (2019):

References

"Sensitivitetsverdier for NSI2018 og ISI 2018_13.11.2024.xlsx" retrieved 01-09-2026 https://www.vannportalen.no/sharepoint/downloaditem?id=01FM3LD2WM4F42XCAEDNBZLJRZMUOM66OP Borgersen, G., Trannum, H.C., Gundersen, H., Vedal, J. (2019). Oppdatering av bløtbunnsartenes sensitivitetsverdier (Report No. 7366). Norsk institutt for vannforskning (NIVA). https://hdl.handle.net/11250/2600903 Rygg, B., Norling, K. (2013). Norwegian Sensitivity Index (NSI) for marine macroinvertebrates, and an update of Indicator Species Index (ISI). (Report No. 6475). Norsk institutt for vannforskning (NIVA). 46 pp.

See also

NSI() and ISI() use this species list to calculate these indices.

Examples


NO_species() %>% head()
#> # A tibble: 6 × 10
#>   species   ES100avg_2018 ES100min5_2018 ES100avg_2012 ES100min5_2012 group_AMBI
#>   <chr>             <dbl>          <dbl>         <dbl>          <dbl>      <dbl>
#> 1 Abra alba          21.7           3.71          19.5           3.82          3
#> 2 Abra lon…          26.2           8.28          23.0           9.40          3
#> 3 Abra nit…          23.1           4.27          22.0           5.84          3
#> 4 Abra pri…          31.0          14.4           32.1          25.7           1
#> 5 Abyssoni…          29.0           9.14          31.7          12.6           1
#> 6 Abyssoni…          29.1          10.4           29.1          10.9           1
#> # ℹ 4 more variables: group_NSI <dbl>, group_ISI <dbl>, Revidert <chr>,
#> #   Kommentar <chr>

NO_species() %>% tail()
#> # A tibble: 6 × 10
#>   species   ES100avg_2018 ES100min5_2018 ES100avg_2012 ES100min5_2012 group_AMBI
#>   <chr>             <dbl>          <dbl>         <dbl>          <dbl>      <dbl>
#> 1 Yoldiell…          25.5           9.57          22.2          11.3           1
#> 2 Yoldiell…          31.7           9.14          30.7          12.4           1
#> 3 Yoldiell…          25.3          14.9           NA            NA            NA
#> 4 Yoldiell…          25.8          10.5           NA            NA             1
#> 5 Zeppelin…          NA            NA             14.6           9.82          4
#> 6 Zoealarve          NA            NA             24.9           8.90         NA
#> # ℹ 4 more variables: group_NSI <dbl>, group_ISI <dbl>, Revidert <chr>,
#> #   Kommentar <chr>