How Life History Characteristics and Environmental Forcing Shape Settlement Success of Coral Reef Fishes

Wong‐Ala, Jennifer A. T. K.; Comfort, Christina M.; Gove, Jamison M.; Hixon, Mark A.; McManus, Margaret A.; Powell, Brian; Whitney, Jonathan L.; Neuheimer, Anna B.

doi:10.3389/fmars.2018.00065

Cited by 9 publications

(10 citation statements)

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“…We incorporated the distribution of suitable habitat, variable reproduction, variable PLD, and ontogenetic changes in swimming ability and empirical vertical distributions of larvae into our model to increase biological realism, and assess how such traits impact predictions of larval dispersal. The Wong-Ala et al (2018) IBM provides a highly flexible model framework that can easily be modified to incorporate either additional species-specific data or entirely new biological traits. In this study, we included specific spawning seasons for all species, as well as spawning by moon phase for Cellana spp., P. meandrina, and C. ignoblis because such data was available for these species .…”

Section: Discussionmentioning

confidence: 99%

“…To simulate larval dispersal, we used a modified version of the Wong-Ala et al (2018) IBM, a 3D Lagrangian particle-tracking model written in the R programming language ( R Core Team, 2017 ). The model takes the aforementioned MITgcm current products as input, as well as shoreline shapefiles extracted from the full resolution NOAA Global Self-consistent Hierarchical High-resolution Geography database, v2.3.0 ( Wessel & Smith, 1996 ).…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we used a Lagrangian particle-tracking IBM ( Wong-Ala et al, 2018 ) to simulate larval dispersal around Moloka‘i and to estimate the larval exchange among sites at the scale of an individual island. We have parameterized our model with biological data for eleven species covering a breadth of Hawaiian reef species life histories (e.g., habitat preferences, larval behaviors, and pelagic larval durations, Table 1 ), and of interest to both the local community and resource managers.…”

Section: Introductionmentioning

confidence: 99%

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Modeled larval connectivity of a multi-species reef fish and invertebrate assemblage off the coast of Moloka‘i, Hawai‘i

Conklin

Neuheimer

Toonen

2018

PeerJ

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We use a novel individual-based model (IBM) to simulate larval dispersal around the island of Moloka‘i in the Hawaiian Archipelago. Our model uses ocean current output from the Massachusetts Institute of Technology general circulation model (MITgcm) as well as biological data on four invertebrate and seven fish species of management relevance to produce connectivity maps among sites around the island of Moloka‘i. These 11 species span the range of life history characteristics of Hawaiian coral reef species and show different spatial and temporal patterns of connectivity as a result. As expected, the longer the pelagic larval duration (PLD), the greater the proportion of larvae that disperse longer distances, but regardless of PLD (3–270 d) most successful dispersal occurs either over short distances within an island (<30 km) or to adjacent islands (50–125 km). Again, regardless of PLD, around the island of Moloka‘i, connectivity tends to be greatest among sites along the same coastline and exchange between northward, southward, eastward and westward-facing shores is limited. Using a graph-theoretic approach to visualize the data, we highlight that the eastern side of the island tends to show the greatest out-degree and betweenness centrality, which indicate important larval sources and connectivity pathways for the rest of the island. The marine protected area surrounding Kalaupapa National Historical Park emerges as a potential source for between-island larval connections, and the west coast of the Park is one of the few regions on Moloka‘i that acts as a net larval source across all species. Using this IBM and visualization approach reveals patterns of exchange between habitat regions and highlights critical larval sources and multi-generational pathways to indicate priority areas for marine resource managers.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeled larval connectivity of a multi-species reef fish and invertebrate assemblage off the coast of Moloka‘i, Hawai‘i

Conklin

Neuheimer

Toonen

2018

PeerJ

Self Cite

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“…The interaction of biological and oceanographic factors also influenced connectivity patterns. Because mesoscale current patterns can vary substantially over the course of the year, the timing of spawning for certain species may be critical for estimating settlement Wong-Ala et al 2018). Intermittent ocean processes may influence the probability of local retention versus long-distance dispersal; a large proportion of larvae settled to O'ahu, which is somewhat surprising given that in order to settle from Moloka'i to O'ahu, larvae must cross the Kaiwi Channel (approx.…”

Section: Discussion: I) Effects Of Biological and Physical Parametersmentioning

confidence: 99%

“…In this study, we used a Lagrangian particle-tracking IBM (Wong-Ala et al, 2018) to simulate larval dispersal around Molokaʻi and to estimate the larval exchange among sites at the scale of an individual island. We have parameterized our model with biological data for eleven species covering a breadth of Hawaiian reef species life histories (e.g.…”

mentioning

confidence: 99%

Peer Review #1 of "Modeled larval connectivity of a multi-species reef fish and invertebrate assemblage off the coast of Moloka‘i, Hawai‘i (v0.1)"

2018

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We use a novel individual-based model (IBM) to simulate larval dispersal around the island of Molokaʻi in the Hawaiian Archipelago. Our model uses ocean current output from the Massachusetts Institute of Technology general circulation model (MITgcm) as well as biological data on four invertebrate and seven fish species of management relevance to produce connectivity maps among sites around the island of Molokaʻi. These 11 species span the range of life history characteristics of Hawaiian coral reef species and show different spatial and temporal patterns of connectivity as a result. As expected, the longer the pelagic larval duration (PLD), the greater the proportion of larvae that disperse longer distances, but regardless of PLD (3-270d) most successful dispersal occurs either over short distances within an island (<30 km) or to adjacent islands (50-125km). Again, regardless of PLD, around the island of Molokaʻi, connectivity tends to be greatest among sites along the same coastline and exchange between northward, southward, eastward and westward-facing shores is limited. Using a graph-theoretic approach to visualize the data, we highlight that the eastern side of the island tends to show the greatest outdegree and betweenness centrality, which indicate important larval sources and connectivity pathways for the rest of the island. The marine protected area surrounding Kalaupapa National Historical Park emerges as a potential source for between-island larval connections, and the west coast of the Park is one of the few regions on Molokaʻi that acts as a net larval source across all species. Using this IBM and visualization approach reveals patterns of exchange between habitat regions and highlights critical larval sources and multi-generational pathways to indicate priority areas for marine resource managers.

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The influence of marine protected areas on the patterns and processes in the life cycle of reef fishes

Lima

Eggertsen²,

Teixeira³

et al. 2023

Rev Fish Biol Fisheries

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How Life History Characteristics and Environmental Forcing Shape Settlement Success of Coral Reef Fishes

Cited by 9 publications

References 63 publications

Modeled larval connectivity of a multi-species reef fish and invertebrate assemblage off the coast of Moloka‘i, Hawai‘i

Modeled larval connectivity of a multi-species reef fish and invertebrate assemblage off the coast of Moloka‘i, Hawai‘i

Peer Review #1 of "Modeled larval connectivity of a multi-species reef fish and invertebrate assemblage off the coast of Moloka‘i, Hawai‘i (v0.1)"

The influence of marine protected areas on the patterns and processes in the life cycle of reef fishes

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