The Coral Trait Database, a curated database of trait information for coral species from the global oceans

Abstract

Trait-based approaches advance ecological and evolutionary research because traits provide a strong link to an organism's function and fitness. Trait-based research might lead to a deeper understanding of the functions of, and services provided by, ecosystems, thereby improving management, which is vital in the current era of rapid environmental change. Coral reef scientists have long collected trait data for corals; however, these are difficult to access and often under-utilized in addressing large-scale questions. We present the Coral Trait Database initiative that aims to bring together physiological, morphological, ecological, phylogenetic and biogeographic trait information into a single repository. The database houses species- and individual-level data from published field and experimental studies alongside contextual data that provide important framing for analyses. In this data descriptor, we release data for 56 traits for 1547 species, and present a collaborative platform on which other trait data are being actively federated. Our overall goal is for the Coral Trait Database to become an open-source, community-led data clearinghouse that accelerates coral reef research.

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OPEN

SUBJECT CATEGORIES

Community ecology

Marine biology

Biodiversity

Biogeography

Coral reefs

The Coral Trait Database, a curated database of trait information for coral species from the global oceans

Joshua S. Madin1, Kristen D. Anderson2, Magnus Heide Andreasen3, Tom C.L. Bridge2,4, Stephen D. Cairns5, Sean R. Connolly2,6, Emily S. Darling7, Marcela Diaz1, Daniel S. Falster1, Erik C. Franklin8, Ruth D. Gates8, Mia O. Hoogenboom2,6, Danwei Huang9, Sally A. Keith3, Matthew A. Kosnik1, Chao-Yang Kuo2, Janice M. Lough2,4, Catherine E. Lovelock10, Osmar Luiz1, Julieta Martinelli1, Toni Mizerek1, John M. Pandol11, Xavier Pochon12,13, Morgan S. Pratchett2, Hollie M. Putnam8, T. Edward Roberts2, Michael Stat14,Carden C. Wallace15, Elizabeth Widman16 & Andrew H. Baird2

Trait-based approaches advance ecological and evolutionary research because traits provide a strong link to an organisms function and tness. Trait-based research might lead to a deeper understanding of the functions of, and services provided by, ecosystems, thereby improving management, which is vital in the current era of rapid environmental change. Coral reef scientists have long collected trait data for corals; however, these are difcult to access and often under-utilized in addressing large-scale questions. We present the Coral Trait Database initiative that aims to bring together physiological, morphological, ecological, phylogenetic and biogeographic trait information into a single repository. The database houses species- and individual-level data from published eld and experimental studies alongside contextual data that provide important framing for analyses. In this data descriptor, we release data for 56 traits for 1547 species, and present a collaborative platform on which other trait data are being actively federated. Our overall goal is for the Coral Trait Database to become an open-source, community-led data clearinghouse that accelerates coral reef research.

1Department of Biological Sciences, Macquarie University, New South Wales 2109, Australia. 2Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville 4811, Australia.

3Center for Macroecology, Evolution & Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen DK-2100, Denmark. 4Australian Institute of Marine Science, PMB #3, Townsville MC, Townsville 4810, Australia. 5Department of Invertebrate Zoology, National Museum of Natural History, Smithsonian, Washington, District Of Columbia 20013, USA. 6College of Marine and Environmental Sciences, James Cook University, Townsville 4811, Australia. 7Marine Program, Wildlife Conservation Society, Bronx, New York 10460, USA. 8University of Hawaii, Hawaii Institute of Marine Biology, School of Ocean and Earth Science and Technology, Kaneohe, Hawaii 96744, USA. 9Department of Biological Sciences and Tropical Marine Science Institute, National University of Singapore, Singapore 117543, Singapore. 10School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia. 11Australian Research Council Centre of Excellence for Coral Reef Studies, School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia. 12Environmental Technologies, Coastal & Freshwater Group, The Cawthron Institute, Nelson 7010, New Zealand. 13Institute of Marine Science, The University of Auckland, Auckland 1142, New Zealand. 14Trace and Environmental DNA Laboratory, Department of Environment and Agriculture, Curtin University, Perth, Western Australia 6102, Australia. 15Biodiversity and Geosciences Program, Queensland Museum Network, South Brisbane, Queensland 4101, Australia. 16School of Life Sciences, The University of Warwick, Coventry CV4 7AL, UK. Correspondence and requests for materials should be addressed to J.S.M. (email: mailto:[email protected]

Web End [email protected] ) or to A.H.B. (email: mailto:[email protected]

Web End [email protected] ).

Received: 06 October 2015

Accepted: 28 January 2016

Published: 29 March 2016

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data integration objective species comparison design digital curation observation design

Measurement Type(s) ecological observations

Technology Type(s) data item extraction from journal article

Factor Type(s) Trait

Sample Characteristic(s) Scleractinia marine coral reef biome

Background & Summary

Most ecosystems are rich in species that display a wide diversity of characteristics1 (i.e., traits). One way to make meaningful generalizations from this diversity has been to identify physiological, ecological or functional traits of organisms to infer (e.g., using traits as explanatory variables) patterns of demography, distribution and abundance, and more broadly, ecosystem function and evolution2. Moreover, species traits can be used as explanatory variables for the responses of ecosystems to environmental change, as functionally signicant traits mediate species responses to disturbances3. Recently, research has demonstrated the utility of trait-based approaches for understanding the effects of anthropogenic disturbances4, the provisioning of ecosystem services5, species distributions68, species composition9,10, and energetic and ecological trade-offs11,12. In seminal papers, compilations of species trait data with broad taxonomic coverage have revealed, for example, a general axis of variation in plants that describes costs and benets of key chemical, structural and physiological traits11; and factors inuencing the metabolic rates of organisms13. However, such broad-scale insights have been restricted to relatively few taxonomic groups, often due to lack of data, particularly information about the ecological context in which data were collected, when such data do exist.

Trait data for stony corals (Cnidaria: Scleractinia) have been collected for more than 100 years and published in many languages. Sufcient data might well exist already for addressing broad-scale hypotheses regarding the ecology and evolution of corals. Although trait compilations are accumulating4,1416, and new statistical approaches for analysing such data are emerging7,12, these datasets are typically gathered for specic traits in isolation to address specic questions which can result in duplication of effort by separate research groups (e.g., Darling et al.12 and Pratchett et al.17 both independently compiled growth rate data). Trait data also tend to be gathered rapidly, for instance with means extracted from tables that present a mixture of original data and data collected previously by others (i.e., meta-analyses). Such a rapid assembly of data can result in omission of important contextual information (e.g., local environmental conditions and levels of variation and replication), confusion about the origin of the data, preventing appropriate provenance and credit18, and the accidental duplication of data points in large datasets.

In this data descriptor, we introduce the Coral Trait Database: a curated database of trait information for coral species from the global oceans. The goals of the Coral Trait Database are: (i) to assemble disparate information on coral traits, (ii) to provide unrestricted, open-source access to coral trait data,(iii) to facilitate and encourage the appropriate crediting of original data sources, and (iv) to engage the reef coral research community in the collection and quality control of trait data. We release 56 error-checked, validated and referenced traits, and also provide their context of measurement, together with an online system for transparently and accurately archiving and presenting coral trait data in future research. Our vision is an inclusive and accessible data resource to more rapidly advance the science and management of a sensitive ecosystem at a time of unprecedented environmental change.

Methods

The data are held in the Coral Traits Database (https://coraltraits.org

Web End =https://coraltraits.org). The database was designed to contain individual-level traits and species-level characteristics and is currently focused on shallow water zooxanthellate (reef building) scleractinian corals. Individual-level traits include any potentially heritable quality of an organism19,20. In the database, individual-level traits are accompanied by contextual characteristics, which give information about the environment or situation in which an individual-level trait was measured (e.g., characteristics of the habitat, seawater or an experiment). These contextual variables are important for understanding variation in individual-level traits (e.g., as predictor variables in analyses). For example, if measurement of colony growth rate was measured at a given depth, the latter datum is included to provide important information for the focal measurement. Some individual-level traits have no or little variation (e.g., mode of larval development), and therefore contextual information is not required. Species-level characteristics do not have contextual information because they are characteristics of species as entities (such as geographical range size and maximum depth observed).

Design Type(s)

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For simplicity, we use the single term trait to refer to individual-level (variant and invariant), species-level (emergent) and contextual (environmental or situational) measurements. Moreover, these traits are grouped into ten use-classes based on various sub-disciplines of reef coral research: biomechanical, conservation, ecological, geographical, morphological, phylogenetic, physiological, reproductive, stoichiometric, and contextual.

Observation and measurements

The database contains two core data tablesObservations and Measurementseach of which has a series of associated tables (Fig. 1). We follow the high-level structure of the Observation and Measurement Ontology21 in that observations bind related measurements and potentially provide context for other observations.

Figure 1. Overview of the design of the Coral Trait Database. (a) The general schema consists of an Observation of a coral colony that is a collection of one or more Measurements associated with the colony. Solid borders represent table associations and dotted borders represent values. Observations have four table associations (contributor, coral species, resource and location) and one value for access (i.e., public or private). Measurements have four table associations (observation, trait, methodology and standard) and ve values. (b) An example of an observation where coral growth rate was measured along with two contextual measurements (represented in the database by an eye). All observation-level attributes are required. Required measurement-level attributes are trait, standard, value and value type. Precision details are entered when a value type is not a raw value. Photograph: Emily Darling.

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Species

1547

Zooxanthellate Azooxanthellate

Substrate attachment

Skeletal density

Larval swimming speed

Skeletal micro density

Colony shape factor

IUCN Red List category

Wave exposure preference

Water clarity preference

Abundance world

Depth lower

Depth upper

Abundance GBR

Life history strategy

Generation time

Ocean basin

Geographical region

Range size

Western most range edge

Southern most range edge

Northern most range edge

Eastern most range edge

Indo Pacific faunal province

Growth form Mizerek

Coloniality

Growth form typical

Growth form Veron

Corallite width maximum

Corallite width minimum

Colony maximum diameter

Growth outline type

Growth form Wallace

Polyps per area

Colony area

Growth form

Corallite width

Number of septa per corallite

Colony surface relief index

Genus fossil stage

Species age phylogeny

Genus fossil age

Zooxanthellate

Symbiodinium subclade

Symbiodinium clade

Growth rate

Bleaching susceptibility

Symbiodinium density

Calcification rate

Tissue thickness

Mitotic index

Protein biomass

Dark respiration

Gross photosynthesis

Sexual system

Symbiodinium sp in propagules

Mode of larval development

Polyp fecundity

Oocyte size at maturity

Larval time to motility

Propagule size on release

Size at maturity

Length oogenic cycle max

Initiation oogenic cycle

Length spermatogenic cycle

Initiation spermatogenic cycle

Age at maturity

Eggs per area

Ratio of female to male gonads

Colony fecundity

Mature egg diameter

Mesentery fecundity

Length of nonreproductive zone

Egg size

Laboratory PLD max

Phosphorus concentration

Nitrogen concentration

RNA DNA ratio

Chlorophyll a

Total biomass

Lipid content

0

Biomechanical

Conservation

Ecological

Geographical

Morphological

Phylogenetic

Physiological

Reproductive

Stoichiometric

Released

In development

Figure 2. Trait by species matrix, illustrating coverage of trait data are currently available in the Coral Trait Database across the worlds 1547 coral species. Blue cells correspond with the traits released in this data descriptor. Grey cells correspond with other available data for which thorough error checking is still being conducted.

Figure 3. Locations where data already released in the Coral Trait Database were collected.

The observation table contains information about the observation of a coral or coral species. Observation-level data must include the Enterer, Species, Location and Resource. Access is an optional variable, and can be controlled by database users entering data for a project that has not yet been published (see https://coraltraits.org/procedures

Web End =https://coraltraits.org/procedures for more information). Observation-level data are the same for all measurements corresponding to the observation. Measurement-level data include the Trait, Value, Standard (measurement unit), Methodology, and estimates of precision (if applicable). The

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O

c

u

Mussidae

l

Meandrinidae

i

n

i

d

Lobophylliidae

Fungiidae

a

e

Psammocoridae

Coscinaraeidae

Pocilloporidae

Astrocoeniidae 2

Merulinidae

Fungiacyathidae

Turbinoliidae

Flabellidae

Dendrophylliidae

Poritidae

Astrocoeniidae

Siderastreidae

Caryophylliidae

Caryophylliidae 2

Deltocyathidae

Robust

Gardineriidae

Basal

Complex

Acroporidae

Agariciidae

Euphylliidae

Figure 4. The phylogenetic coverage of traits in the Coral Trait Database, for the subset of species in the current molecular phylogeny. As for Fig. 2, blue cells indicate traits for species released in this data descriptor and grey cells indicate other available information in the database, still being federated.

hypothetical example given in Fig. 1b is for growth rate that was measured within the context of a water depth and habitat that were given in the published resource.

The Species table provides taxonomy that is regularly updated by the Taxonomy Advisory Board (https://coraltraits.org/procedures

Web End =https://coraltraits.org/procedures) to keep pace with the rapid rate of revision2224. The table contains

the valid name for each coral species based largely on the World Register of Marine Species (http://www.marinespecies.org

Web End =http://www. http://www.marinespecies.org

Web End =marinespecies.org ), the major clade (Basal, Robust or Complex25), family based on molecular work26, family based on morphology (following Cairns27 or Veron28), and other names and synonyms.

Data acquisitionAll public data in the Coral Trait Database and included in this data descriptor release are linked with published resources, which include peer-reviewed papers, taxonomic monographs and books. The original source of entered data must be included (called the primary resource), even when extracted from secondary compilations (e.g., for the purpose of meta-analyses). Secondary sources can be included

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optionally, and so the database captures both the original data collector and subsequent data compilers, which allows both to be credited when re-using data. Measurement value types, which can be exibly added to, currently include: raw, mean, median, maximum, minimum, expert opinion (the view of a single expert), group opinion (the consensus of a group of experts), and model derived. Continuous data are typically means extracted from tables or gures unless raw data are available. When available, aggregate values such as means and medians should be accompanied by the number of replicates and a measure of dispersion (e.g., standard deviation). Means and estimates of dispersion from gures in resources were captured using ImageJ29. The data released in this data descriptor have broad taxonomic (Fig. 2), global (Fig. 3) and phylogenetic (Fig. 4) coverage. However, some large data gaps exist, because few species have been comprehensively measured in many locations.

Data Records

A static release of the 56 traits contained in this descriptor is available from the Coral Trait Database (Data Citation 1) and Figshare (Data Citation 2). Details and references for the trait data are summarised in Table 1 (available online only). Up-to-date data can be downloaded directly from the database. However, as validation (see Technical Validation, below) and data entry is ongoing, users are recommended to pull data from the static releases, to ensure results remain consistent as the database is updated. Both static releases and datasets downloaded from the database are accompanied by the primary (and, if applicable, secondary) resource lists for the data, which should be credited wherever feasible.

Technical Validation

The database is curated on a voluntary basis, which includes a Managerial Board, Editorial Board, Taxonomy Advisory Board and Database Administrator (https://coraltraits.org/procedures

Web End =https://coraltraits.org/procedures). Database Contributors who add data for a new trait are typically asked to be that traits editor. Quality control of data and editorial procedures include:

Contributor approval: Database users must request permission to become a database contributor, and any observations entered by the contributor are associated with their user account.

Editorial approval: Once a contributor enters an observation of a coral trait, an email is sent automatically to the editor of that trait. The editor must approve the observation to remove the pending

ag from the observation record.

User feedback: Data issues can be reported for any observation using a simple form. Editors are automatically emailed if an issue with one of their traits is reported.

Duplicate detection: Measurements with the same value, resource, location and species are agged for conrmation.

Outlier detection: Frequency histograms are generated in real time when loading trait pages. Outliers can be detected visually (e.g., a very large value for continuous data or a category that has one or few associated measurements for categorical data).

Usage Notes

The data release is a compressed folder containing two les:

1. A csv-formatted data le containing all publicly available observation and measurement data, which includes contextual data.

2. A csv-formatted resource le containing all the resources (primary and secondary) that correspond with the data. Users are expected to cite the data correctly using these resources.

An example for extracting and reshaping release data for analysis can found online (https://coraltraits.org/procedures

Web End =https://coraltraits. https://coraltraits.org/procedures

Web End =org/procedures ).

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Data Citations

1. Madin, J. S. The Coral Trait Database https://coraltraits.org/releases/ctdb_1.1.1.zip

Web End =https://coraltraits.org/releases/ctdb_1.1.1.zip (2016).2. Madin, J. S. Figshare http://dx.doi.org/10.6084/m9.figshare.2067414

Web End =http://dx.doi.org/10.6084/m9.gshare.2067414 (2016).

Acknowledgements

The authors would like to thank Macquarie Universitys Genes to Geoscience Research Centre for supporting the Coral Trait Working group. In particular, we would like to thank Mark Westoby, Mariella Herberstein and Sam Newton. J.S.M. was supported by an Australian Research Council Future Fellowship. S.A.K. and M.H.A. were supported by the Danish National Research Foundation. C.E.L. and J.M.P. were supported by an Australian Research Council Discovery Project (DP0986179). T.B., S.R.C., M.O.H., C.-Y.K., J.M.P., M.S.P., T.E.R. and A.H.B. were supported by the ARC Centre of Excellence for Coral Reef Studies.

Author Contributions

J.S.M. and A.H.B. conceived the idea. J.S.M., M.D. and A.H.B. compiled the preliminary data. J.S.M., K.D.A., A.H.A., T.B., S.D.C., S.C., S.R.C., E.D., M.D., D.F., E.C.F., R.D.G., M.O.H., D.H., S.A.K., M.A.K., C.K., J.M.L., C.E.L., O.L., J.M., T.M., J.M.P., X.P., M.S.P., H.M.P., T.E.R., M.S., C.C.W., E.W. and A.H.B. compiled, entered and edited trait data and jointly wrote the data descriptor.

Additional Information

Table 1 is only available in the online version of this paper.

Competing interests: The authors declare no competing nancial interests.

How to cite this article: Madin, J. S. et al. The Coral Trait Database, a curated database of trait information for coral species from the global oceans. Sci. Data 3:160017 doi: 10.1038/sdata.2016.17 (2016).

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Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/

Web End =http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.

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