Evidence map›Paper›PMID 39873121›Full record

ArticleGlobal change biology2025

Using Community Composition and Successional Theory to Guide Site-Specific Coral Reef Management.

Orion S McCarthy, Emily L A Kelly, Anela K Akiona, Samantha M Clements, Tatiana Martinez, Nicole E Pedersen, Cole Peralto, Sarah L Romero, Mitchell H Smelser, Kristy Wong Stone and 2 more

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Orion S McCarthyScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA.ORCID 0000-0001-5068-4832
Emily L A KellyWorld Economic Forum, San Francisco, California, USA.
Anela K AkionaScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA.
Samantha M ClementsScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA.
Tatiana MartinezHawai'i Division of Aquatic Resources, Maui, Hawaii, USA.
Nicole E PedersenScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA.
Cole PeraltoHawai'i Division of Aquatic Resources, Maui, Hawaii, USA.
Sarah L RomeroScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA.
Mitchell H SmelserScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA.
Kristy Wong StoneHawai'i Division of Aquatic Resources, Maui, Hawaii, USA.
Russell T SparksHawai'i Division of Aquatic Resources, Maui, Hawaii, USA.
Jennifer E SmithScripps Institution of Oceanography, UC San Diego, La Jolla, California, USA.

Funding

100 Island ChallengeBohn FamilyFerguson FamilyNational Science Foundation Graduate Research Fellowship ProgramScripps Family Foundation
6 · The paper itself

Abstract

High spatial or temporal variability in community composition makes it challenging for natural resource managers to predict ecosystem trajectories at scales relevant to management. This is commonly the case in nearshore marine environments, where the frequency and intensity of disturbance events vary at the sub-kilometer to meter scale, creating a patchwork of successional stages within a single ecosystem. The successional stage of a community impacts its stability, recovery potential, and trajectory over time in predictable ways. Here we demonstrate the value of successional theory for interpreting fine-scale community heterogeneity using Hawaiian coral reefs as a case study. We tracked benthic community dynamics on 36 forereefs over a 6-year period (2017-2023) that captures impacts from high surf events, a marine heatwave, and unprecedented shifts in human behavior due to the COVID-19 pandemic. We document high spatial variation in benthic community composition that was only partially explained by island and environmental regime. Through hierarchical clustering, we identify three distinct community types that appear to represent different successional stages of reef development. Reefs belonging to the same community type exhibited similar rates of change in coral cover and structural complexity over time, more so than reefs located on the same island. Importantly, communities that were indicative of early succession (low coral cover reefs dominated by stress-tolerant corals) were most likely to experience an increase in coral cover over time, while later-stage successional communities were more likely to experience coral decline. Our findings highlight the influence of life history and successional stage on community trajectories. Accounting for these factors, not simply overall coral cover, is essential for designing effective management interventions. Site-specific management that accounts for a community's unique composition and history of disturbance is needed to effectively conserve these important ecosystems.

Indexed as

AnthozoaConservation of Natural ResourcesCoral ReefsAnimalsCOVID-19Hawaiibenthic communitiesclimate changecommunity ecologycoral reefHawaiilandscape ecologyphotogrammetrysuccession

Identifiers

PMID39873121
PMCPMC11774138

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.