Modeled Population Connectivity Across The Hawaiian Archipelago
Supporting Files
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2016
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Details
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Alternative Title:Modeled Population Connectivity across the Hawaiian Archipelago
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Journal Title:PLOS ONE
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Personal Author:
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Corporate Authors:United States, National Marine Fisheries Service, ; Pacific Islands Fisheries Science Center (U.S.), ; United States ; National Oceanic and Atmospheric Administration, ; Coral Reef Conservation Program (U.S.) ; National Sea Grant College Program (U.S.) ; University of Hawaii at Manoa. Joint Institute for Marine and Atmospheric Research
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Description:We present the first comprehensive estimate of connectivity of passive pelagic particles released from coral reef habitat throughout the Hawaiian Archipelago. Potential connectivity is calculated using a Lagrangian particle transport model coupled offline with currents generated by an oceanographic circulation model, MITgcm. The connectivity matrices show a surprising degree of self-recruitment and directional dispersal towards the northwest, from the Main Hawaiian Islands (MHI) to the northwestern Hawaiian Islands (NWHI). We identify three predicted connectivity breaks in the archipelago, that is, areas in the mid and northern part of the archipelago that have limited connections with surrounding islands and reefs. Predicted regions of limited connectivity generally match observed patterns of genetic structure reported for coral reef species in the uninhabited NWHI, but multiple genetic breaks observed in the inhabited MHI are not explained by passive dispersal. The better congruence in our modeling results based on physical transport of passive particles in the low-lying atolls of the uninhabited NWHI, but not in the anthropogenically impacted high islands of the MHI begs the question: what ultimately controls connectivity in this system?
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Source:PLOS ONE
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DOI:
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Pubmed Central ID:PMC5145177
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Rights Information:CC BY
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Compliance:PMC
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Main Document Checksum:urn:sha-512:5e1b06d1323f69ba5370660a7188c45ab19026707c8f31de78d41cd3e3aa65e05505045f0d22554d4270b35633bc9e566658e21586d7dd7debfcc883609a704e
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