Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/113764
Título: Diversity and patterns of marine non-native species in the archipelagos of Macaronesia
Autores/as: Castro, Nuno
Carlton, James T.
Costa, Ana C.
Marques, Carolina S.
Hewitt, Chad L.
Cacabelos, Eva
Lopes, Evandro
Gizzi, Francesca
Gestoso, Ignacio
Monteiro, João G.
Costa, José L.
Parente, Manuela
Ramalhosa, Patrício
Fofonoff, Paul
Chainho, Paula
Haroun Tabraue, Ricardo Jesús 
Santos, Ricardo S.
Herrera, Rogelio
Marques, Tiago
Ruiz, Gregory M.
Canning-Clode, João
Clasificación UNESCO: 240106 Ecología animal
241713 Ecología vegetal
240119 Zoología marina
241705 Biología marina
Palabras clave: Anthropogenic stressors
Azores
Cabo Verde
Canary Islands
Madeira, et al.
Fecha de publicación: 2022
Proyectos: Observatório Oceânico da Madeira-OOM (M1420-01-0145-FEDER-000001)
Seguimiento, control y mitigación de proliferaciones de organismos marinos asociadas a perturbaciones humanas y cambio climático en la Región Macaronésica 
Seguimiento, control y mitigación de proliferaciones de organismos marinos asociadas a perturbaciones humanas y cambio climático en la región Macaronésica 
MARE UIDB/04292/2020
UID/BIA/50027/2013
POCI-01-0145- FEDER-006821 UID/BIA/50027 Rede de Investigação em Biodiversidade e Biologia Evolutiva
Publicación seriada: Diversity and Distributions 
Resumen: Diversity and Distributions published by John Wiley & Sons Ltd.Aims: The present study is the first attempt to grasp the scale and richness of marine biological invasions in Macaronesia. We pioneered a comprehensive non-native species (NNS), inventory in the region to determine their diversity patterns and native distribution origins. NNS were defined here as the result of both introductions and range expansions. We also used statistical modelling to examine relationships among NNS richness, anthropogenic activities, demographic and geographical variables across Macaronesia. Location: Macaronesia. Methods: A comprehensive literature search was conducted for marine NNS records in Macaronesia, registering the first record's location and year from 1884 to 2020. We used univariate and multivariate analyses to evaluate differences and similarities in community composition. By applying a Generalized Linear Model (GLM), we tested hypotheses regarding NNS richness as a function of anthropogenic activities, demographic and geographical variables. Results: A total of 144 marine non-native species (NNS) were recorded for the whole of Macaronesia. The highest NNS richness was registered in the Canary Islands (76 NNS), followed by the Azores (66 NNS), Madeira (59 NNS) and finally Cabo Verde (18 NNS). Some differences amongst archipelagos were observed, such as the high number of non-native macroalgae in the Azores, fishes in the Canary Islands and tunicates in Cabo Verde. Overall, macroalgae, tunicates and bryozoans were the predominant taxonomic groups in the Macaronesian archipelagos. Madeira and Canary Islands were the archipelagos with more similarity in marine NNS, and Cabo Verde the most divergent. Finally, GLM suggested that non-native richness patterns across Macaronesia were dependent on the considered archipelago and strongly affected by (1) minimum distance to the mainland, (2) the total number of ports and marinas and (3) total marinas area (km2). Conclusions: The model results and NNS listing in the present study will likely raise the awareness and response regarding marine NNS in the whole Macaronesia region, serving as a baseline for future research as well as implementing and enforcing regulations related to the introduction of marine NNS in oceanic islands.
URI: http://hdl.handle.net/10553/113764
ISSN: 1366-9516
DOI: 10.1111/ddi.13465
Fuente: Diversity and Distributions [ISSN 1366-9516], v. 28(4), p. 667-684
Colección:Artículos
Adobe PDF (1,31 MB)
Vista completa

Citas SCOPUSTM   

23
actualizado el 21-abr-2024

Visitas

78
actualizado el 13-ene-2024

Descargas

40
actualizado el 13-ene-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.