Lyuba Novi, Leah de Medeiros Vieira, Annalisa Bracco
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引用次数: 0
Abstract
Marine ecosystems in the wider Caribbean region (WCR) are biodiversity hotspots. They include coral reefs and provide critical societal benefits, yet climate change, pollution, and overfishing are threatening them. Marine ecosystem protection and restoration require understanding connectivity. Fish and coral larvae are actively exchanged across connected areas and larval transport promotes the replenishment of new healthy individuals after damaging events. Connectivity is dynamic and modulated by climate variability, but its evaluation with traditional tools remains elusive over spatio-temporal scales of climate interest. Here machine learning helps exploring large-scale connectivity in the WCR over nearly three decades. ENSO exerts the largest influence on the overall connectivity, with enhanced longitudinal connectivity in El Niño years. By combining connectivity with climate variability and thermal stress metrics, it is found that connectivity does not improve recovery potential in the WCR, in striking contrast with prior results for the tropical Pacific.
期刊介绍:
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.