Implications of Taxonomic Misidentification for Future Invasion Predictions: Evidence From One of the Most Harmful Invasive Marine Algae
Use este enlace para citar
http://hdl.handle.net/2183/33944
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 4.0 Internacional
Colecciones
Metadatos
Mostrar el registro completo del ítemTítulo
Implications of Taxonomic Misidentification for Future Invasion Predictions: Evidence From One of the Most Harmful Invasive Marine AlgaeFecha
2023-05-03Cita bibliográfica
R. Golo, A. Vergés, P. Díaz-Tapia, E. Cebrian, Implications of taxonomic misidentification for future invasion predictions: Evidence from one of the most harmful invasive marine algae, Marine Pollution Bulletin, Volume 191, 2023, 114970, ISSN 0025-326X, https://doi.org/10.1016/j.marpolbul.2023.114970. (https://www.sciencedirect.com/science/article/pii/S0025326X23004022)
Resumen
[Abstract] Invasive species have been a focus of concern in recent decades, becoming more problematic due to the cumulative impacts of climate change. Understanding the interactions among stress factors is essential to anticipate ecosystems' responses. Hereby, robust modeling frameworks must be able to identify the environmental drivers of invasion and forecast the current and future of their potential distribution. These studies are essential for the management of invasions and to be prepared for the future we are facing. Here we demonstrate that taxonomic misidentifications may lead to absolutely erroneous predictions, by using as an example one of the worst invasive species in the Mediterranean Sea (Lophocladia lallemandii), which has been misidentified for three decades and now is correctly identified. Consequently, and bearing in mind overall trends in species misidentification due to the loss of taxonomic expertise and the presence of cryptic species, among others, attempts to understand and predict species involved in invasion processes must always first consider taxonomic studies.
Palabras clave
Invasive species
Climate change
Species distribution
Niche modeling
Climate change
Species distribution
Niche modeling
Versión del editor
Derechos
Atribución-NoComercial-SinDerivadas 4.0 Internacional
ISSN
0025-326X