ArticlePLoS biology2019
Successful validation of a larval dispersal model using genetic parentage data.
Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence for a consistent use of external cues by marine fish larvae for orientation.Communications biology · 2022Pooled it
- Global pelagic dispersal traits datasets for early-life stages of marine fishes.Scientific data · 2026Article
- Weak Structure and Environment-Associated Loci Across a Eutrophication Gradient in a Resilient Coral Species.Ecology and evolution · 2026Article
- Methods to estimate marine functional connectivity: A primer.Ecological applications : a publication of the Ecological Society of America · 2026Review
- Kuroshio Corridor: larval dispersal networks explain geographically independent connectivity among coral habitats in Japan.Scientific reports · 2026Article
- Dispersal can spread management benefits: Insights from a modeled Fijian coral reef network.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Integrating molecular methods and biophysical modeling to assess functional connectivity between marine protected areas.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Seamount larval dispersal networks: A potential strategy for conserving ecological connectivity from deep-sea mining.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Going with the flow: Leveraging reef-scale hydrodynamics for upscaling larval-based restoration.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Marine reserves contribute half of the larval supply to a coral reef fishery.Science advances · 2025Article
- Article
- Oceanic currents maintain the genetic structure of non-marine coastal taxa in the western Mediterranean Sea.npj biodiversity · 2023Article
- Coral reef fish larvae show no evidence for map-based navigation after physical displacement.iScience · 2023Article
- Biophysical models resolution affects coral connectivity estimates.Scientific reports · 2023Article
- Larval Dispersal Modeling Reveals Low Connectivity among National Marine Protected Areas in the Yellow and East China Seas.Biology · 2023Article
- Small-scale genetic structure of coral populations in Palau based on whole mitochondrial genomes: Implications for future coral resilience.Evolutionary applications · 2023Article
- Isolation-by-distance and isolation-by-oceanography in Maroon Anemonefish (Evolutionary applications · 2023Article
- Rapid assessment of adult abundance and demographic connectivity from juvenile kin pairs in a critically endangered species.Science advances · 2022Article
- Spatial coalescent connectivity through multi-generation dispersal modelling predicts gene flow across marine phyla.Nature communications · 2022Article
- Demographic histories shape population genomics of the common coral grouper (Evolutionary applications · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Larval dispersal is a critically important yet enigmatic process in marine ecology, evolution, and conservation. Determining the distance and direction that tiny larvae travel in the open ocean continues to be a challenge. Our current understanding of larval dispersal patterns at management-relevant scales is principally and separately informed by genetic parentage data and biological-oceanographic (biophysical) models. Parentage datasets provide clear evidence of individual larval dispersal events, but their findings are spatially and temporally limited. Biophysical models offer a more complete picture of dispersal patterns at regional scales but are of uncertain accuracy. Here, we develop statistical techniques that integrate these two important sources of information on larval dispersal. We then apply these methods to an extensive genetic parentage dataset to successfully validate a high-resolution biophysical model for the economically important reef fish species Plectropomus maculatus in the southern Great Barrier Reef. Our results demonstrate that biophysical models can provide accurate descriptions of larval dispersal at spatial and temporal scales that are relevant to management. They also show that genetic parentage datasets provide enough statistical power to exclude poor biophysical models. Biophysical models that included species-specific larval behaviour provided markedly better fits to the parentage data than assuming passive behaviour, but incorrect behavioural assumptions led to worse predictions than ignoring behaviour altogether. Our approach capitalises on the complementary strengths of genetic parentage datasets and high-resolution biophysical models to produce an accurate picture of larval dispersal patterns at regional scales. The results provide essential empirical support for the use of accurately parameterised biophysical larval dispersal models in marine spatial planning and management.
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