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Record W3181428972 · doi:10.1002/bes2.1877

Coral Forests: How Mangroves Provide Refuge to Corals from Light Stress on the Shallow Reef

2021· article· en· W3181428972 on OpenAlexfundaboutno aff
Heather A. Stewart, David I. Kline, Lauren J. Chapman, Andrew H. Altieri

Bibliographic record

VenueBulletin of the Ecological Society of America · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsnot available
FundersSmithsonian Tropical Research InstituteMcGill University
KeywordsMangroveCoral reefEcologyReefSpecies richnessCoral reef protectionCoralGeographyEnvironmental scienceFisheryOceanographyBiologyGeology

Abstract

fetched live from OpenAlex

Given increasing reports of corals living among roots under mangrove canopies, we used field surveys and reciprocal transplants to test the hypothesis that mangroves are a refuge for corals from the high solar irradiance and temperatures of adjacent shallow reefs. We found that live coral cover and species richness in mangroves rivaled or exceeded that of reefs. Our experimental manipulation of light in mangroves and on adjacent reefs indicated that light intensity is a key environmental parameter mediating coral bleaching and survival. We suggest the role of mangroves acting as coral refugia will become increasingly important with global climate change. Photo 1: Large Siderastrea siderea coral colony observable just below the water’s surface under the mangrove canopy. These large corals can make up 15–51% of the coral cover in the mangrove forest of Bocas del Toro, Panama. Surveying the corals within the mangrove forest requires both snorkeling and climbing the trees to avoid harming the corals growing in the shallow water. Photo credit: Heather A. Stewart, McGill University/Smithsonian Tropical Research Institute. Photo 2: To characterize the coral community in the mangrove forest and adjacent shallow reef, coral surveys were conducted with 1-m2 quadrats quantifying cover, richness, diversity, abundance, and identity of live coral species. Photo credit: Heather A. Stewart, McGill University/Smithsonian Tropical Research Institute. Photo 3: Treatments included natural conditions in each of these habitats, plus experimental addition of shading on the reef to mimic the mangrove canopy, and experimental removal of the mangrove canopy to mimic light conditions on the reef. The corals represented two species observed more frequently in mangroves (Montastraea cavernosa and Pseudodiploria clivosa), two species observed more frequently on the reef (Diploria labyrinthiformis and Porites astreoides), and two that were observed in similar frequency in both habitats (Colpophyllia natans and Orbicella faveolata). We found that the proportion of coral bleaching and mortality increased with light intensity across all coral species except Diploria labyrinthiformis. Photo credit: Heather A. Stewart, McGill University/Smithsonian Tropical Research Institute. Photo 4: Close-up of Montastraea cavernosa colony with polyps extended within the mangrove canopy. This coral species typically grows in a plate morphology and with coloration such as blue or green hues that differ from domed morphology and red, yellow, or brown hues on the adjacent reef, indicating some differences in traits associated with light conditions under the canopy. Photo credit: Heather A. Stewart, McGill University/Smithsonian Tropical Research Institute. These photographs illustrate the article “Caribbean mangrove forests act as coral refugia by reducing light stress and increasing coral richness” by Heather A. Stewart, David I. Kline, Lauren J. Chapman, Andrew H. Altieri published in Ecosphere. https://doi.org/10.1002/ecs2.3413.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.204
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes2
Has abstractyes

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