Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/33736
Title: Global change impacts on large-scale biogeographic patterns of marine organisms on Atlantic oceanic islands
Authors: Ávila, Sérgio P.
Cordeiro, Ricardo
Madeira, Patrícia
Silva, Luís
Medeiros, António
Rebelo, Ana C.
Melo, Carlos
Neto, Ana I.
Haroun, Ricardo 
Monteiro, António
Rijsdijk, Kenneth
Johnson, Markes E.
UNESCO Clasification: 2502 Climatología
250205 Paleoclimatología
2510 Oceanografía
Keywords: Island biogeography
Large-scale biogeographic patterns
Marine endemism patterns
Marine organisms
Marine species-area relationships
Pleistocene sea-level changes
Issue Date: 2018
Journal: Marine Pollution Bulletin 
Abstract: Past climate changes provide important clues for advancement of studies on current global change biology. We have tested large-scale biogeographic patterns through four marine groups from twelve Atlantic Ocean archipelagos and searched for patterns between species richness/endemism and littoral area, age, isolation, latitude and mean annual sea-surface temperatures. Species richness is strongly correlated with littoral area. Two reinforcing effects take place during glacial episodes: i) species richness is expected to decrease (in comparison with interglacial periods) due to the local disappearance of sandy/muddy-associated species; ii) because littoral area is minimal during glacial episodes, area per se induces a decrease on species richness (by extirpation/extinction of marine species) as well as affecting speciation rates. Maximum speciation rates are expected to occur during the interglacial periods, whereas immigration rates are expected to be higher at the LGM. Finally, sea-level changes are a paramount factor influencing marine biodiversity of animals and plants living on oceanic islands.
URI: http://hdl.handle.net/10553/33736
ISSN: 0025-326X
DOI: 10.1016/j.marpolbul.2017.10.087
Source: Marine Pollution Bulletin [ISSN 0025-326X], v. 126, p. 101-112
URL: http://api.elsevier.com/content/abstract/scopus_id/85033589427
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