Published November 18, 2023 | Version 3

A dataset of seabird collision and displacement vulnerability factors relatively to marine wind farms in Portugal

  • 1. Independent researcher
  • 2. Sociedade Portuguesa para o Estudo das Aves, Av. Almirante Gago Coutinho, 46A 1700-031 Lisboa, Portugal
  • 3. Centro de Ecologia, Evolução e Alterações Ambientais & Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Portugal

Description

The implementation of marine wind farms has grown considerably along northern European's northern Atlantic coasts (e.g. Baltic and North Sea) and a boom in these infrastructures is expected to take place along Europe's entire Atlantic and Mediterranean coasts. Accordingly, the Portuguese government has recently proposed priority sites for the construction of wind farms along the mainland coast. We used sensitivity mapping (Garthe & Hüppop, 2004) to assess which areas along the Portuguese coast are most sensitive for seabirds and to what extent the proposed sites for wind farm construction overlap with these areas.

This dataset contains the base data to estimate a seabird Species Sensitivity Index (SSI) (following Bradbury et al., 2014, Certain et al., 2015), including scores for 11 species-specific ecological and behavioural factors related with seabird species' (i) vulnerability to collision with wind farms (4 factors), (ii) vulnerability to displacement due to disturbance by wind farms and associated maintenance (3 factors), and (iii) conservation status (4 factors). 

We reviewed the literature to mine and compile data on these factors for 34 seabird species that regularly occur along the Portuguese mainland coast. We updated factor scores, particularly for those factors that have been studied in greater detail in recent years using tracking technologies (Clairbaux & Jessopp, 2021). However, in many cases empirical data were unavailable and we used the scores presented in previous sensitivity mapping studies (Garthe & Hüppop, 2004; Bradbury et al., 2014; Certain et al., 2015; Wade et al., 2016; Serratosa & Allinson, 2022).

Notes

The final report using these dataset can be found at:

O relatório final que utiliza estes dados pode ser consultado em:

https://doi.org/10.5281/zenodo.10045918

 

Notes

Sensitivity mapping results can be visualised at: 

Os resultados do mapeamento de sensibilidade podem ser visualizados em:

https://african-eurasian-migrants.shinyapps.io/Seabird_sensitivity_wind_farms/

Notes

This study was funded by:

Este estudo foi financiado por:

Fundação Oceano Azul (https://www.oceanoazulfoundation.org/)

Notes

To this version was added information on the factor "C11 Adult survival", which was missing from the previous version.

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Additional details

References

  • Garthe S, Hüppop O. 2004. Scaling possible adverse effects of marine wind farms on seabirds: developing and applying a vulnerability index: Marine wind farms and seabirds. Journal of Applied Ecology 41:724–734.
  • Bradbury G, Trinder M, Furness B, Banks AN, Caldow RWG, Hume D. 2014. Mapping Seabird Sensitivity to Offshore Wind Farms. PLoS ONE 9:e106366.
  • Certain G, Jørgensen LL, Christel I, Planque B, Bretagnolle V. 2015. Mapping the vulnerability of animal community to pressure in marine systems: disentangling pressure types and integrating their impact from the individual to the community level. ICES Journal of Marine Science 72:1470–1482.
  • Clairbaux M, Jessopp M. 2021. D7.9 Review of species-specific collision risks for sea birds. Zenodo. https://doi.org/10.5281/zenodo.6867543
  • Wade HM, Masden EA, Jackson AC, Furness RW. 2016. Incorporating data uncertainty when estimating potential vulnerability of Scottish seabirds to marine renewable energy developments. Marine Policy 70:108–113.
  • Serratosa J, Allinson T. 2022. AVISTEP: the Avian Sensitivity Tool for Energy Planning. Technical Manual. BidLife International, Cambridge, UK.