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This zone of maximum diversity is in accordance with previously described patterns of mollusk diversity on the southern Pacific coast [423], as well as with the observed pattern for marine invertebrates on the Chilean coast described by Lancellotti and Vásquez [424], [425] and polychaetes by Hernández et al. [89].
However, the differentiation between clusters was highly significant, and low levels of differentiation a typical pattern for marine fish (Waples 1998; Hauser and Carvalho 2008)—does not necessarily reflect substantial ongoing gene flow.
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Finally, spatiotemporal association patterns for marine environmental parameters in the Pacific Ocean are identified, and the results prove the effectiveness and the efficiency of the proposed mining framework.
Interesting and consistent biogeographic patterns for marine species are beginning to emerge for migratory marine species in their environments.
Both types of analyses arrived at similar patterns for marine mammals, although the lack of distinction between resident and visitor species in the AquaMaps analysis hampered the direct comparison of diversity patterns for these taxa.
This pattern increases nutrients for marine life in the region.
Environmental context has been shown to explain Lévy and Brownian movement patterns for various marine predators, but potential effects of habitat structure and cognitive skills are often overlooked.
Biodiversity patterns for the marine mammals contrasted with patterns for fishes and invertebrates in that many species were also predicted to occur in the offshore western and central basin waters, and particularly in slope waters (Figure 5e).
These results suggest that there may be some initial straying associated with marine releases, as the normal pattern of marine migration (rapid movement out of the river, through Burrard Inlet and north up to QCS and the open Pacific) was not observed for all fish.
A qualitatively similar pattern is also seen for marine iguanas.
Emerging research initiatives on correlations between diversity metrics and physical environmental attributes over a range of scales and the development of statistical techniques to build predictive models for small- and large-scale patterns of marine biodiversity are assisting with decisions about marine protected areas.
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