Contributors | Affiliation | Role |
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Barott, Katie | University of Pennsylvania (Penn) | Principal Investigator |
Putnam, Hollie | University of Rhode Island (URI) | Principal Investigator |
Brown, Kristen | University of Pennsylvania (Penn) | Co-Principal Investigator |
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset and other data from this study will be published in the results paper "Divergent bleaching and recovery trajectories in reef-building corals following a decade of successive marine heatwaves." (see pre-print Brown, et al. (2023), doi: 10.1101/2023.07.16.549193).
All BCO-DMO datasets related to this publication can be found on the page https://www.bco-dmo.org/related-resource/915300.
Location:
patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i (21.4509, -157.7954).
This dataset provides benthic cover data. The following section also describes the closely related dataset "Colony level bleaching severity and mortality" https://www.bco-dmo.org/dataset/897415 which provides the community composition point counts and images.
Coral colony selection:
All colonies followed in this study were first categorized as bleaching-susceptible (severely bleached) or bleaching-resistant (fully pigmented) based on their bleaching phenotype during the peak of the 2015 heatwave and coral bleaching event (1). For this study, ten pairs of adjacent conspecific colonies of M. capitata and P. compressa with contrasting bleaching susceptibilities (N=10 colonies per species per phenotype) were selected. Adjacent pairs of bleaching-resistant and bleaching-susceptible colonies of the same species were selected in order to minimize the influence of microenvironment on the bleaching response. Individual colonies were monitored for bleaching (color/pigmentation) and partial mortality from 2015–2017 (1) and 2019–2023 (this study), and sampled for physiological assessments from 2019–2023 (Brown et al., 2023 Tables S3 and S4). An additional pair of M. capitata and two pairs of P. compressa were added to the time series in 2022 to supplement our observations after three pairs could no longer be located; all of these colonies had been assessed for bleaching, mortality and recovery from 2015–2017.
Nearly all of the M. capitata colonies used in this study (20 of the 22 colonies) were identified as unique genotypes in an earlier study (2). In general, clonality in M. capitata in Kāne‘ohe Bay is very low (3), with a bay-wide genet-ramen ratio of 0.917. Caruso et al (2022) included two sites at the same reef investigated in this study (Patch Reef 13), identifying a genet-ramen (G:R) ratio of 0.95 (i.e., 21 genotypes in 22 colonies sampled). For P. compressa, the bay-wide genet-ramen ratio is approximately 0.875, but clonality is rare in low wave energy (inner bay) environments (4). Similarly, P. compressa from sheltered South Bay sites have a genet-ramen ratio of 0.96 (5). The likelihood of there being more than three clones in P. compressa is very low (0.92 [average of two papers G:R] * 24 colonies = 22 genotypes), especially considering the physiological variation observed. Overall, these studies indicate infrequent asexual reproduction at the study site for either species.
Coral bleaching and partial mortality assessments:
Colony-level bleaching severity was determined from photographs of each colony following the methodology of (6), in which colonies were scored as: (1) no signs of paling (0%), (2) mild paling (>20%), (3) moderate paling (20–50%), (4) mostly bleached (50–80%), and (5) fully bleached (80–100%). Cumulative colony-level partial mortality was also determined from these same photographs as described in (1). Observations occurred during peak and off-peak seasonal temperatures in most years. Benthic community composition was determined at the same time as colony-level observations following the same methods as in (1, 6). Specifically, benthic photoquadrats (0.33 m2), were imaged at 2 m intervals along a 40 m transect tape laid parallel to the reef crest at 1 m and 3 m depths (n = 1–2 per depth) at PR13. Benthic community composition was determined from each image via CoralNet using 50 randomly allocated points per photograph (7). Bleaching severity of each coral point was scored as: (1) pigmented (no signs of bleaching), (2) pale (moderately bleached), or (3) severely bleached (white). Reef-wide bleaching prevalence for each species was determined as the proportion of observations of that species showing signs of moderate or severe bleaching (i.e. bleaching score of 2 or 3).
See results publication Brown, et al. (2023) for more detailed information on analysis and results.
* Sheet 1 of file "Benthic cover.csv" was imported into the BCO-DMO data system with values "NA" as missing data values.
** Missing data values are displayed differently based on the file format you download. They are blank in csv files, "NaN" in MatLab files, etc.
* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]
* column b_year removed as recommended by the submitter.
* Date converted to ISO 8601 format
File |
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897403_v1_benthic_cover.csv (Comma Separated Values (.csv), 199.95 KB) MD5:871b24c01c5c220d0795231f71fcdc14 Primary data table for dataset 897403 version 1. |
File |
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Benthic Cover and Bleaching Severity Analysis Description filename: benthic_cover_and_bleaching_severity_analysis.txt (Plain Text, 618 bytes) MD5:8631b5f607cec3008c61b945fbc8fc43 Description of how these data were further analyzed for publication. |
Benthic cover categories and related taxonomic names and identfiers filename: benthic_cover_categories_and_taxa.csv (Comma Separated Values (.csv), 2.15 KB) MD5:15f165a180f6e14fdb55549594470fe4 Columns:Category_in_dataset, the category name within the 897403_v1_benthic_cover.csv table.Associated_Taxon, taxonomic name associated with the categoryAphiaID, Taxonomic identifier for the taxa at the World Register of Marine Species (WoRMS, www.marinespecies.org)LSID, Lifesciences Identifier for the taxaName matching was performed using the WoRMS taxa match tool on 2023-11-09. At that time, all names used were the accepted name for the organism. |
Benthic Photoquadrat Image Inventory Table filename: benthic_quadrat_image_inventory.csv (Comma Separated Values (.csv), 289.98 KB) MD5:0460535590424bee3e4ca1239eb43d4f Image Inventory Table for the images within "benthic_images.zip"columns:filename,relative_filepath,filesize_bytes,md5sum (a checksum) |
Benthic Photoquadrat Images filename: benthic_cover_images.zip (ZIP Archive (ZIP), 5.58 GB) MD5:cd43ab68e6ce65da3d7b1254642fcffc Benthic Photoquadrat Images (jpg format). See supplemental file "benthic_quadrat_image_inventory.csv" for associated metadata for these images such as collection date and filesize. |
Parameter | Description | Units |
Image_ID | Image identifier | unitless |
Image_name | Image name (images are provided in benthic cover images.zip) | unitless |
month | Numeric month of year | unitless |
day | Day | unitless |
year | Year (in format YYYY) | unitless |
Date | Date (ISO 8601 date format) | unitless |
Annotation_status | Annotation status. 'confirmed' indicates manually annotated | unitless |
Points | number of points per image | per point |
Coral_Juvenile | Point count of "Coral Juvenile" per image | per point |
Diseased_Coral | Point count of "Diseased Coral" per image | per point |
Leptastrea_purpurea | Point count of "Leptastrea purpurea" per image | per point |
Pigmented_Montipora_capitata | Point count of "Pigmented Montipora capitata" per image | per point |
Pavona_varians | Point count of "Pavona varians" per image | per point |
Pigmented_Porites_Compressa | Point count of "Pigmented Porites Compressa" per image | per point |
Recent_Dead_Coral | Point count of "Recent Dead Coral" per image | per point |
Ascidian | Point count of "Ascidian" per image | per point |
Mycale_grandis | Point count of "Mycale grandis" per image | per point |
Sponge | Point count of "Sponge" per image | per point |
Zoanthid | Point count of "Zoanthid" per image | per point |
Sand | Point count of "Sand" per image | per point |
Sediment | Point count of "Sediment" per image | per point |
Dead_coral | Point count of "Dead coral" per image | per point |
Rock_Pavement | Point count of "Rock Pavement" per image | per point |
Rock_Rubble | Point count of "Rock Rubble" per image | per point |
All_other | Point count of "All other" per image | per point |
Broken_coral_rubble | Point count of "Broken coral rubble" per image | per point |
Dead_coral_with_algae | Point count of "Dead coral with algae" per image | per point |
Rubble | Point count of "Rubble" per image | per point |
Schizothrix | Point count of "Schizothrix" per image | per point |
white_band_disease | Point count of "white band disease" per image | per point |
Amphiroa_sp | Point count of "Amphiroa sp" per image | per point |
CCA | Point count of "CCA" per image | per point |
Dictyosphaeria | Point count of "Dictyosphaeria" per image | per point |
Dictyota | Point count of "Dictyota" per image | per point |
Halimeda | Point count of "Halimeda" per image | per point |
Liagora | Point count of "Liagora" per image | per point |
Lobophora | Point count of "Lobophora" per image | per point |
Macroalgae | Point count of "Macroalgae" per image | per point |
Montipora_capitata_recently_dead | Point count of "Montipora capitata recently dead" per image | per point |
Padina | Point count of "Padina" per image | per point |
Porites_compressa_recently_dead | Point count of "Porites compressa recently dead" per image | per point |
Sargassum | Point count of "Sargassum" per image | per point |
Stypopodium_sp | Point count of "Stypopodium sp" per image | per point |
Turbinaria_algae | Point count of "Turbinaria algae" per image | per point |
Turf_algae | Point count of "Turf algae" per image | per point |
Montipora_bleached_and_pale | Point count of "Montipora bleached and pale" per image | per point |
Pocillopora | Point count of "Pocillopora" per image | per point |
Bleached_and_pale_Porites | Point count of "Bleached and pale Porites" per image | per point |
Dataset-specific Instrument Name | |
Generic Instrument Name | Underwater Camera |
Generic Instrument Description | All types of photographic equipment that may be deployed underwater including stills, video, film and digital systems. |
NSF Award Abstract:
Coral bleaching has become increasingly common on reefs worldwide as rising sea surface temperatures associated with climate change disrupt the coral-algal symbiosis. This dramatic heat stress response turns the normally colorful corals bright white, and yet during these heat stress events not all corals undergo bleaching. This project focuses on assessing the effects of bleaching by comparing pairs of corals side-byside on the reef during an ongoing heat wave, where one has bleached and the other has not, despite experiencing the same temperatures. These coral pairs have been monitored throughout three bleaching events in the past five years, providing a unique resource to address whether corals with consistently different bleaching susceptibilities have the capacity to acclimate in response to disturbances through epigenetic changes, or changes in gene expression not due to change in DNA bases. To address this, the project will characterize the impacts of bleaching or not bleaching on coral physiology, gene expression, and epigenetic patterns using coral pairs in their natural habitat during a marine heatwave. This project also provides research support for graduate student trainees, as well as data and materials for the research and training of undergraduate and high school students. This project will recruit underrepresented minority students from URI and UPenn area high schools and university undergraduates for work on computer analysis of images (benthic and colony photographs, brightfield and confocal micrographs) and sequencing data. It will also support the training of an undergraduate student at the University of Hawaiʻi in coral ecology and physiology, and the development of her senior thesis.
This project will investigate the effects of repeated heat stress events on the performance of Montipora capitata, a dominant reef builder throughout Hawaiʻi. It utilizes the timely context of paired colonies of M. capitata with bleached vs. unbleached histories that have been monitored through two past bleaching events in Hawaiʻi (2015 and 2019) and the currently ongoing 2020 event. This system allows for the unique opportunity to disentangle the consequences of heat stress versus bleaching on coral performance through time, an essential feature of reef resilience. The contrasting physiological and energetic processes these two phenotypes undergo during a heatwave are likely to result in alterations to the cellular environment within the animal that impacts epigenetic transcriptional regulation. These regulatory and energetic changes, if persistent over time, have the potential to alter coral fitness beyond the duration of the heatwave differentially between corals with contrasting bleaching phenotypes. Specifically, the project will: 1) quantify the effect of the 2020 heatwave on coral physiology during bleaching and recovery, 2) generate a corresponding archive of coral tissues and nucleic acids as a resource for future work characterizing how bleaching phenotype alters energetics and non-genetic inheritance, and 3) characterize how bleaching phenotype alters intra-generational inheritance of epigenetic marks (i.e., DNA methylation) and gene expression, and the duration of these marks and expression patterns following heat stress. This project represents an urgent assessment of an ideal system to test the legacy of coral bleaching phenotype on coral fitness. The results of this project will therefore lay the foundation for intra and cross-generational effects of bleaching vs. heat stress, which is essential for understanding coral resilience to climate change.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |