The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Estimating dispersal potential for marine larvae: dynamic models applied to scleractinian corals
Open accessAbstract
Dispersal influences ecological dynamics, evolution, biogeography, and biodiversity conservation, but models of larval dispersal in marine organisms make simplifying assumptions that are likely to approximate poorly the temporal dynamics of larval survival and capacity for settlement. In particular, larval mortality rates are typically assumed to be constant throughout larval life; and all larvae are frequently assumed to acquire and lose competence at the same time. To improve upon these assumptions, we here develop simple models of dispersal potential that incorporate rates of mortality, and acquisition and loss of settlement competence. We fit these models to empirical competence and survival data for five scleractinian coral species, to test the models' ability to characterize empirical survival and competence patterns, and to estimate the dispersal potential implied by those patterns. The models fit the data well, incorporating qualitative features of competence and survival that traditional approaches to modeling dispersal do not, with important implications for dispersal potential. Most notably, there was high within‐cohort variation in the duration of the competent period in all species, and this variation increases both self‐recruitment and long‐distance dispersal compared with models assuming a fixed competent period. These findings help to explain the seeming paradox of high genetic population structure, coupled with large geographic range size, observed in many coral species. More broadly, our approach offers a way to parsimoniously account for variation in competence dynamics in dispersal models, a phenomenon that our results suggest has important effects on patterns of connectivity in marine metapopulations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Larval Dispersal and Marine Population Connectivity
Cowen, R. K., & Sponaugle, S. (2009) · Annual Review of Marine Science · doi:10.1146/annurev.marine.010908.163757 · Cited by 2,077
Okubo, A. (1994) · Coastal and Estuarine Studies · doi:10.1029/ce045p0005 · Cited by 45
Cited by
Paris, C. B., Helgers, J., van Sebille, E., & Srinivasan, A. (2013) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.12.006 · Cited by 335
Metadata
- Authors
- Connolly, S. R., & Baird, A. H.
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2010-12
- Volume
- 91
- Issue
- 12
- Pages
- 3572-3583
- ISSN
- 0012-9658 (ISSN-L)
- 1939-9170
- OpenAlex
- W2156970640
- Cited by
- 205
- References
- 2
- FWCI
- 8.68
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Estimating dispersal potential for marine larvae: dynamic models applied to scleractinian corals. https://app.cochat.ai/papers/10.1890/10-0143.1
- The paper
- Connolly, S. R., & Baird, A. H. (2010). Estimating dispersal potential for marine larvae: dynamic models applied to scleractinian corals. Ecology. https://doi.org/10.1890/10-0143.1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.