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      Exploration of the “larval pool”: development and ground-truthing of a larval transport model off leeward Hawai‘i

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      1 , , 2
      PeerJ
      PeerJ Inc.
      Connectivity, Larval dispersal, Larval pool, Recruitment, Settlement, Acanthurid, Hawaii

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          Abstract

          Most adult reef fish show site fidelity thus dispersal is limited to the mobile larval stage of the fish, and effective management of such species requires an understanding of the patterns of larval dispersal. In this study, we assess larval reef fish distributions in the waters west of the Big Island of Hawai‘i using both in situ and model data. Catches from Cobb midwater trawls off west Hawai‘i show that reef fish larvae are most numerous in offshore waters deeper than 3,000 m and consist largely of pre-settlement Pomacanthids, Acanthurids and Chaetodontids. Utilizing a Lagrangian larval dispersal model, we were able to replicate the observed shore fish distributions from the trawl data and we identified the 100 m depth strata as the most likely depth of occupancy. Additionally, our model showed that for larval shore fish with a pelagic larval duration longer than 40 days there was no significant change in settlement success in our model. By creating a general additive model (GAM) incorporating lunar phase and angle we were able to explain 67.5% of the variance between modeled and in situ Acanthurid abundances. We took steps towards creating a predictive larval distribution model that will greatly aid in understanding the spatiotemporal nature of the larval pool in west Hawai‘i, and the dispersal of larvae throughout the Hawaiian archipelago.

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          Designing marine reserve networks for both conservation and fisheries management.

          Marine protected areas (MPAs) that exclude fishing have been shown repeatedly to enhance the abundance, size, and diversity of species. These benefits, however, mean little to most marine species, because individual protected areas typically are small. To meet the larger-scale conservation challenges facing ocean ecosystems, several nations are expanding the benefits of individual protected areas by building networks of protected areas. Doing so successfully requires a detailed understanding of the ecological and physical characteristics of ocean ecosystems and the responses of humans to spatial closures. There has been enormous scientific interest in these topics, and frameworks for the design of MPA networks for meeting conservation and fishery management goals are emerging. Persistent in the literature is the perception of an inherent tradeoff between achieving conservation and fishery goals. Through a synthetic analysis across these conservation and bioeconomic studies, we construct guidelines for MPA network design that reduce or eliminate this tradeoff. We present size, spacing, location, and configuration guidelines for designing networks that simultaneously can enhance biological conservation and reduce fishery costs or even increase fishery yields and profits. Indeed, in some settings, a well-designed MPA network is critical to the optimal harvest strategy. When reserves benefit fisheries, the optimal area in reserves is moderately large (mode ≈30%). Assessing network design principals is limited currently by the absence of empirical data from large-scale networks. Emerging networks will soon rectify this constraint.
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            R: A language and environmental for statistical computing

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              Recent progress in understanding larval dispersal: new directions and digressions.

              Larvae have been difficult to study because their small size limits our ability to understand their behavior and the conditions they experience. Questions about larval transport focus largely on (a) where they go [dispersal] and (b) where they come from [connectivity]. Mechanisms of transport have been intensively studied in recent decades. As our ability to identify larval sources develops, the consequences of connectivity are garnering more consideration. Attention to transport and connectivity issues has increased dramatically in the past decade, fueled by changing motivations that now include management of fisheries resources, understanding of the spread of invasive species, conservation through the design of marine reserves, and prediction of climate-change effects. Current progress involves both technological advances and the integration of disciplines and approaches. This review focuses on insights gained from physical modeling, chemical tracking, and genetic approaches. I consider how new findings are motivating paradigm shifts concerning (1) life-history consequences; (2) the openness of marine populations, self-recruitment, and population connectivity; (3) the role of behavior; and (4) the significance of variability in space and time. A challenge for the future will be to integrate methods that address dispersal on short (intragenerational) timescales such as elemental fingerprinting and numerical simulations with those that reflect longer timescales such as gene flow estimates and demographic modeling. Recognition and treatment of the continuum between ecological and evolutionary timescales will be necessary to advance the mechanistic understanding of larval and population dynamics.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                1 February 2016
                2016
                : 4
                : e1636
                Affiliations
                [1 ]Department of Oceanography, School of Ocean and Earth Science and Technology (SOEST), University of Hawai‘i at Mānoa , Honolulu Hawai‘i, United States
                [2 ]NOAA Fisheries, Pacific Islands Fisheries Science Center , Honolulu Hawai‘i, United States
                Article
                1636
                10.7717/peerj.1636
                4741072
                26855873
                7c6d79a5-5f1f-4c60-9a53-921aa8ea30c6
                ©2016 Wren and Kobayashi

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 8 January 2015
                : 7 January 2016
                Funding
                Funded by: Kona Integrated Ecosystem Assessment Program of NOAA Fisheries
                Funded by: Pacific Islands Fisheries Science Center
                Funded by: HIMB-NWHI
                Award ID: MOA-2009-039/7932
                Funded by: NSF
                Award ID: OCE 12-60169
                Funded by: SeaGrant
                Award ID: NA14OAR4170071
                Funds for JLKW were provided by the Kona Integrated Ecosystem Assessment Program of NOAA Fisheries, Pacific Islands Fisheries Science Center, with additional support provided by the HIMB-NWHI partnership (MOA-2009-039/7932), NSF (OCE 12-60169) and SeaGrant (NA14OAR4170071). This is SOEST contribution number 9562. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Aquaculture, Fisheries and Fish Science
                Conservation Biology
                Ecology
                Ecosystem Science
                Marine Biology

                connectivity,larval dispersal,larval pool,recruitment,settlement,acanthurid,hawaii

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