ArticleProceedings of the National Academy of Sciences of the United States of America2019
Reverse engineering field-derived vertical distribution profiles to infer larval swimming behaviors.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dispersal corridors enhance modelled near-bed larval connectivity across deep-sea protected area networks.Nature ecology & evolution · 2026Article
- Adaptive Variation Amid High Gene Flow Across a Broad Latitudinal Gradient in the Reef-Building Honeycomb Worm, Sabellaria alveolata.Molecular ecology · 2026Article
- Temperature and nutrients alter the relative importance of stochastic and deterministic processes in the coastal macroinvertebrates biodiversity assembly on long-time scales.Ecology and evolution · 2024Article
- Making Your Own Luck: Weak Vertical Swimming Improves Dispersal Success for Coastal Marine Larvae.Bulletin of mathematical biology · 2024Article
- The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations.Movement ecology · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biophysical models are well-used tools for predicting the dispersal of marine larvae. Larval behavior has been shown to influence dispersal, but how to incorporate behavior effectively within dispersal models remains a challenge. Mechanisms of behavior are often derived from laboratory-based studies and therefore, may not reflect behavior in situ. Here, using state-of-the-art models, we explore the movements that larvae must undertake to achieve the vertical distribution patterns observed in nature. Results suggest that behaviors are not consistent with those described under the tidally synchronized vertical migration (TVM) hypothesis. Instead, we show (
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