Predicting demography from species traits: larval development time and its sensitivity to warming depend on egg size in corals

In the absence of demographic data, readily measurable life history traits, like egg size, can be used to predict how demographic rates vary across species, facilitating modeling and analysis of high-diversity assemblages. We assessed the larval survival and competency acquisition dynamics, both determinants of larval dispersal, of four previously unstudied coral species at current and warmed temperatures. This dataset was combined with comparable data for three other coral species to assess how well egg size predicts larval mortality, the minimum time to competency and their sensitivity to warming. Minimum time to competency increased with egg size; moreover, warming-induced reductions in time to competency were greater for species with larger eggs. In contrast, mortality rate and its response to warming were both independent of egg size. These findings show how assemblage-level responses to environmental change can be inferred for diverse communities and indicate how warming-induced changes in larval biology may reshape reef coral metacommunities.

Authors

Institutions

Publication Details

Journal
Coral Reefs
Published
2025-06-19
DOI
https://doi.org/10.1007/s00338-025-02683-0
Citations
2
Primary Topic
Coral and Marine Ecosystems Studies
Type
article
Field-Weighted Citation Impact
3.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting demography from species traits: larval development time and its sensitivity to warming depend on egg size in corals

Sean R. Connolly, Andrew H. Baird, Saki Harii, Joana Figueiredo
2 citations
Coral Reefs
Coral and Marine Ecosystems Studies
3.43
article

Predicting demography from species traits: larval development time and its sensitivity to warming depend on egg size in corals

Sean R. Connolly, Andrew H. Baird, Saki Harii, Joana Figueiredo
article en
2 citations

Abstract

In the absence of demographic data, readily measurable life history traits, like egg size, can be used to predict how demographic rates vary across species, facilitating modeling and analysis of high-diversity assemblages. We assessed the larval survival and competency acquisition dynamics, both determinants of larval dispersal, of four previously unstudied coral species at current and warmed temperatures. This dataset was combined with comparable data for three other coral species to assess how well egg size predicts larval mortality, the minimum time to competency and their sensitivity to warming. Minimum time to competency increased with egg size; moreover, warming-induced reductions in time to competency were greater for species with larger eggs. In contrast, mortality rate and its response to warming were both independent of egg size. These findings show how assemblage-level responses to environmental change can be inferred for diverse communities and indicate how warming-induced changes in larval biology may reshape reef coral metacommunities.

Coral ReefsVol. 45(1)
Smithsonian Tropical Research Institute (PA), Nova Southeastern University (US), University of the Ryukyus (JP), James Cook University (AU)
Queensland Government, Australian Research Council, Japan Society for the Promotion of Science
Life below water
Openalex Percentile: Top 9%
Coral and Marine Ecosystems Studies
3.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predicting demography from species traits: larval development time and its sensitivity to warming depend on egg size in corals — Sean R. Connolly, Andrew H. Baird, et al. · Coral Reefs (2025) | TGRS Research Map | TGRS