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  • 1
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2018. This is the author's version of the work. It is posted here under a nonexclusive, irrevocable, paid-up, worldwide license granted to WHOI. It is made available for personal use, not for redistribution. The definitive version was published in Ecology 99 (2018): 2374-2384, doi:10.1002/ecy.2480.
    Description: The spatial distribution of relatives has profound e ects on kin interactions, inbreeding, and inclusive tness. Yet, in the marine environment, the processes that generate patterns of kin structure remain understudied because larval dispersal on ocean currents was historically assumed to disrupt kin associations. Recent genetic evidence of co-occurring siblings challenges this assumption and raises the intriguing question of how siblings are found together after a (potentially) disruptive larval phase. Here, we develop individual based models to explore how stochastic processes operating at the individual level a ect expected kinship at equilibrium. Speci cally, we predict how limited dispersal, sibling cohesion, and variability in reproductive success di erentially a ect patterns of kin structure. All three mechanisms increase mean kinship within populations, but their spatial e ects are markedly di erent. We nd that: (1) when dispersal is limited, kinship declines monotonically as a function of the distance between individuals; (2) when siblings disperse cohesively, kinship increases within a site relative to between sites; and (3) when reproductive success varies, kinship increases equally at all distances. The di erential e ects of these processes therefore only become apparent when individuals are sampled at multiple spatial scales. Notably, our models suggest that aggregative larval behaviors, such as sibling cohesion, are not necessary to explain documented levels of relatedness within marine populations. Together, these ndings establish a theoretical framework for disentangling the drivers of marine kin structure.
    Description: CCD was supported by a Weston Howland Jr. Postdoctoral Scholarship from WHOI. MGN was supported by a grant from the US NSF (DEB-1558904).
    Keywords: Individual based model ; Relatedness ; Collective dispersal ; Aggregated dispersal ; Sweepstakes reproductive success ; Kinship ; Larval dispersal ; Marine ecology
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 2
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-27
    Description: Dataset: Goby_Sibship_2018
    Description: Genotype data for E. lori individuals sequenced at 71 microsatellites from a 41 km-long transect of the Belize Barrier reef during 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/749774
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Goby distribution and abundance
    Description: Goby distribution and morphology data from Curlew Caye in the Belizean Barrier Reef collected in 2011. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/728230
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Goby abundance and morphology
    Description: Geolocation, abundance, and morphology data from Carrie Bow Caye in the Belizean Barrier Reef. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/705432
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Goby data geolocations
    Description: UTM coordinates for waypoint locations used to generate Elori raw data in 2006. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/704783
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Goby genotypes
    Description: Cytochrome b and radloci genotype identification data from fish sampled in the Belizean Barrier Reef in 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/738714
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Data from fish genotyped at 14 and 20 loci
    Description: Data from fish genotyped at 14 and 20 loci at different life stages in the Belizean Barrier Reef in 2013. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/738724
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 8
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Micro-satellite genotypes 2012
    Description: Microsatellite genotypes and geolocation data from the Belizean Barrier reef collected in 2012. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743594
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 9
    Publication Date: 2022-05-26
    Description: Author Posting. © University of Chicago Press, 2019. This article is posted here by permission of University of Chicago Press for personal use, not for redistribution. The definitive version was published in Shaw, A. K., D'Aloia, C. C., & Buston, P. M. The evolution of marine larval dispersal kernels in spatially structured habitats: Analytical models, individual-based simulations, and comparisons with empirical estimates. American Naturalist, 193(3), (2019):424-435, doi:10.1086/701667.
    Description: Understanding the causes of larval dispersal is a major goal of marine ecology, yet most research focuses on proximate causes. Here we ask how ultimate, evolutionary causes affect dispersal. Building on Hamilton and May’s classic 1977 article “Dispersal in Stable Habitats,” we develop analytic and simulation models for the evolution of dispersal kernels in spatially structured habitats. First, we investigate dispersal in a world without edges and find that most offspring disperse as far as possible, opposite the pattern of empirical data. Adding edges to our model world leads to nearly all offspring dispersing short distances, again a mismatch with empirical data. Adding resource heterogeneity improves our results: most offspring disperse short distances with some dispersing longer distances. Finally, we simulate dispersal evolution in a real seascape in Belize and find that the simulated dispersal kernel and an empirical dispersal kernel from that seascape both have the same shape, with a high level of short-distance dispersal and a low level of long-distance dispersal. The novel contributions of this work are to provide a spatially explicit analytic extension of Hamilton and May’s 1977 work, to demonstrate that our spatially explicit simulations and analytic models provide equivalent results, and to use simulation approaches to investigate the evolution of dispersal kernel shape in spatially complex habitats. Our model could be modified in various ways to investigate dispersal evolution in other species and seascapes, providing new insights into patterns of marine larval dispersal.
    Description: We thank S. Levin, M. Neubert, S. Proulx, L. Sullivan, R. Warner, and several anonymous reviewers for helpful comments. This work was carried out in part using computing resources at the University of Minnesota Supercomputing Institute. The project was supported by a start-up award from the University of Minnesota to A.K.S. and a National Science Foundation award (OCE-1260424) to P.M.B. and colleagues; C.C.D. was supported by the Weston Howland Junior Postdoctoral Scholarship from the Woods Hole Oceanographic Institution.
    Description: 2020-01-17
    Keywords: biological oceanography ; dispersal kernel ; evolutionarily stable strategy ; larval dispersal ; marine ecology ; population connectivity
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 10
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Goby parentage
    Description: Data from 120 parent-offspring matches identified in fish on the Belizean Barrier Reef in 2013. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/738704
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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