Current Distribution of the Invasive Kelp Undaria pinnatifida (Harvey) Suringar, 1873 Along Artificial and Natural Habitats in North Portugal—Impacts and Mitigation Initiatives
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Abstract
The kelp Undaria pinnatifida is considered one of the 100 worst invasive species in the world. The presence of Undaria in Portugal was reported more than 20 years ago, but there is not recent detailed information about its distribution and impacts. The aims of this study are to provide updated data about the distribution of Undaria in marinas and natural habitats along the north Portuguese coast, to afford insights about Undaria impacts on native macroalgae and to test the efficiency of mitigation actions based on Undaria removal. Mitigation measures were implemented in a marina where a native kelp was recently displaced by Undaria. The results showed stable populations of Undaria in marinas, but few ephemeral ones on natural rocky shores. The observed distribution pattern suggests an important role of salinity and wave exposure in shaping the distribution of Undaria. Moreover, Undaria was able to displace a native kelp and overgrow mussels in marinas, while on natural rocky shores, it was able to overgrow Gongolaria baccata but not native kelps. Finally, mitigation actions resulted in a partial recolonization by the native kelp.
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Rubal, M., Fernández-Gutiérrez, J., Carreira-Flores, D., Gomes, P. T., & Veiga, P. (2025). Current Distribution of the Invasive Kelp Undaria pinnatifida (Harvey) Suringar, 1873 Along Artificial and Natural Habitats in North Portugal—Impacts and Mitigation Initiatives. Plants, 14(5). https://doi.org/10.3390/PLANTS14050658
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https://doi.org/10.3390/plants14050658Sponsors
This research was supported by the project Marina-Forests (10.54499/2022.06806.PTDC) funded by the Foundation for Science and Technology (FCT) and partially through national funds within the scope of UIDB/04423/2020 and UIDP/04423/2020, granted to CIIMAR and LA/P/0069/2020, to the Associate Laboratory ARNET and (10.54499/UIDB/04050/2020) to CBMA. P Veiga (2023.08939.CEECIND) and M Rubal (10.54499/CEECINST/00018/2021/CP2806/CT0021) were hired through the “Regulamento do Emprego Científico e Tecnológico—RJEC”, and Jesús Fernández-Gutiérrez (2023.04100.BD) was supported by a PhD scholarship from the Portuguese Foundation for Science and Technology (FCT) program.
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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the termsand conditions of the Creative Commons Attribution (CC BY) license
Attribution 4.0 International
Attribution 4.0 International







