Literature DB >> 27508264

Hawai'i Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago.

Jamie M Caldwell1, John H R Burns1, Courtney Couch1, Megan Ross1, Christina Runyon2, Misaki Takabayashi3, Bernardo Vargas-Ángel4, William Walsh5, Maya Walton6, Darla White7, Gareth Williams8, Scott F Heron9.   

Abstract

The Hawai'i Coral Disease database (HICORDIS) houses data on colony-level coral health condition observed across the Hawaiian archipelago, providing information to conduct future analyses on coral reef health in an era of changing environmental conditions. Colonies were identified to the lowest taxonomic classification possible (species or genera), measured and assessed for visual signs of health condition. Data were recorded for 286,071 coral colonies surveyed on 1819 transects at 660 sites between 2005 and 2015. The database contains observations for 60 species from 22 genera with 21 different health conditions. The goals of the HICORDIS database are to: i) provide open access, quality controlled and validated coral health data assembled from disparate surveys conducted across Hawai'i; ii) facilitate appropriate crediting of data; and iii) encourage future analyses of coral reef health. In this article, we describe and provide data from the HICORDIS database. The data presented in this paper were used in the research article "Satellite SST-based Coral Disease Outbreak Predictions for the Hawaiian Archipelago" (Caldwell et al., 2016) [1].

Entities:  

Keywords:  Coral; Disease; Hawaii; Marine biology; Reefs

Year:  2016        PMID: 27508264      PMCID: PMC4969249          DOI: 10.1016/j.dib.2016.07.025

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data The data can be used to analyze coral community composition and relationships between community composition and environment; Compare spatial and temporal trends in coral disease severity and prevalence in Hawaiʻi; Investigate the role of trait-based and environmental factors contributing to disease presence and/or severity; Compare disease patterns in Hawaiʻi with observations from different regions around the world; Create new and more accurate forecasting models of disease outbreaks.

Data

The Hawaiʻi Coral Disease database (HICORDIS) consists of observational surveys of coral health conducted across the Hawaiian archipelago between 2005 and 2015 (Table S1). Ten research groups from academic institutions (University of Hawaiʻi at Mānoa, University of Hawaiʻi, Hilo, Cornell University, University of Wellington), state and federal agencies (Hawaiʻi/Maui Division of Aquatic Resources, National Oceanic and Atmospheric Administration Coral Reef Ecosystem Program) collected survey data at 17 islands and atolls spanning nine degrees of latitude (Fig. 1, Table S2). Data were recorded for 286,071 coral colonies on 1819 transects at 660 sites (Fig. 1). These sites capture the variability in coral community composition and environmental conditions that occur across the ~2400 km Hawaiian archipelago. The data presented in this paper were used in the research article “Satellite SST-based Coral Disease Outbreak Predictions for the Hawaiian Archipelago” [1].
Fig. 1

Map of survey locations in the Hawaiian archipelago. White dots indicate survey locations.

Experimental design, materials and methods

Survey methods

Observations of coral colony health were collected by one of three survey techniques: belt transects with direct or indirect measures of prevalence or line-intercept. For the belt transect method with direct measures of prevalence, divers recorded every coral colony׳s health condition within a specified area (average length=20 m, range=8–50 m; average width=1 m, range=1–6 m). In the belt transect method with indirect measures of disease prevalence, divers counted all colonies with a health condition (e.g., disease) within a large belt transect area (average area=25×2 m2, range=25×2 m2 to 25×6 m2) and counted the total number of coral colonies in a subset region of the large belt transect area (average area of subset region=10×2 m2, range=10×2 m2 to 10×6 m2). In the line-intercept method, divers recorded coral health state for every colony directly under 25 m of transect tape. Survey depths ranged from <1 to 26 m.

Coral colony data

All coral colonies in the HICORDIS database were classified taxonomically and visually assessed for coral health conditions. Observations were recorded for 60 coral species from 22 genera (Table S3). There were 21 possible classifications for coral health state (Tables S4 and S5). Health classifications included no visible lesions, known coral diseases, bleaching, discoloration patterns, algal and bacterial infections and predatory invertebrates. In total, 17% of coral colonies exhibited visual signs of compromised health conditions (Table S4). When data was available, disease severity measurements were also incorporated. Disease severity was quantified as the percent of live tissue affected by a health condition. We note that for coral bleaching in particular, the severity metric we provide here may not be the best measure of severity (e.g., categorizing severity as pale, mottled or stark white may be more indicative of bleaching severity than amount of surface tissue affected). Most records in the HICORDIS database included a measurement of coral colony size. There were up to four types of measurements recorded for each colony: colony length, colony width, size classes and standardized size classes. Colony lengths and widths were measured as the two longest horizontal axes along a coral colony. Colony lengths ranged from <1 to 410 cm; colony widths ranged from <1 to 190 cm. Size classes were used to bin colonies into size ranges; however, size classes varied among research groups. In order to facilitate comparisons among observations, a “standardized size class” was included, which grouped coral colonies into size bins based on colony length, colony width and/or size class. Standardized size classes consist of the following size bins: 0–5 cm; 6–10 cm; 11–20 cm; 21–80 cm; 81–160 cm; 161-200 cm; 201-300 cm; 301-450 cm (Fig. 2). An example of how this data can be used to compare coral health across size classes, space and time is provided in Fig. 3. All missing data in the HICRODIS database was recorded as “NA”.
Fig. 2

Size frequency distributions for the six most common coral genera recorded in the HICORDIS database.

Fig. 3

Variation in Porites growth anomalies by year (left), region (center) and island (right).

Subject areaBiology
More specific subject areaMarine ecology
Type of dataTable, figure
How data was acquiredUnderwater visual surveys conducted on SCUBA and snorkel
Data formatRaw
Experimental factors286,071 coral colonies observed from 17 Hawaiian islands and atolls between 2005 and 2015
Experimental featuresSpecies identification, colony measurements, health condition, GPS coordinates and depth
Data source locationHawaiian archipelago extending from Hawai׳i Island to Kure Atoll
Data accessibilityData available within this article (Table S1)
  1 in total

1.  Satellite SST-Based Coral Disease Outbreak Predictions for the Hawaiian Archipelago.

Authors:  Jamie M Caldwell; Scott F Heron; C Mark Eakin; Megan J Donahue
Journal:  Remote Sens (Basel)       Date:  2016-01-26       Impact factor: 4.848

  1 in total
  2 in total

1.  Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory.

Authors:  Luis M Montilla; Alfredo Ascanio; Alejandra Verde; Aldo Croquer
Journal:  PeerJ       Date:  2019-06-04       Impact factor: 2.984

2.  Case-control design identifies ecological drivers of endemic coral diseases.

Authors:  Jamie M Caldwell; Greta Aeby; Scott F Heron; Megan J Donahue
Journal:  Sci Rep       Date:  2020-02-18       Impact factor: 4.379

  2 in total

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