http://lod.bco-dmo.org/id/dataset/933334
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2024-07-19
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Summary data from the Heatwaves and Coral-Recovery Database (HeatCRD) covering global coral reef sites from 1977-2020
2024-08-15
publication
2024-08-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-08-20
publication
https://doi.org/10.26008/1912/bco-dmo.933334.1
Robert van Woesik
Florida Institute of Technology
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: van Woesik, R., Kratochwill, C. (2024) Summary data from the Heatwaves and Coral-Recovery Database (HeatCRD) covering global coral reef sites from 1977-2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-08-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.933334.1 [access date]
Summary data from the Heatwaves and Coral-Recovery Database (HeatCRD) Dataset Description: Methods and Sampling: <p>Data were collected from 160 data sources including data from established monitoring programs and new data extracted from the literature. To date, we have coral data for 12,266 sites, from 83 countries, from 1977 to 2020. Coral-cover data were extracted from the primary literature using WebPlotDigitizer version 4.6 (Marin, 2017). Sampling points that fell on land or were &gt; 1 km from any coral reef were removed. If sites were not named or given explicit coordinates, the coordinates were estimated and a comment was added to the data table. The coordinates were entered into Google Earth and the location names, distance to land in meters, and exposure were determined and recorded for each site. Exposure to waves was based on a site’s potential exposure to predominant&nbsp;winds, swell, and fetch (i.e., the extent of open ocean). Mean turbidity (Kd490) was added for each site (Sully and Woesik, (2020)). The Marine Ecoregions of the World (MEOW) shapefiles (Spalding et al., 2007) and IUCN’s (International Union for Conservation of Nature) World Database on Protected Areas (2022) were used to determine in which marine realm and protected area each site was located. Veron et al. (2015)'s ecoregions shapefiles were used to determine the ecoregion of each site. Data on the types of reef habitats were extracted from the Allen Coral Atlas (Lyons et al., 2022). The Coral Reef Temperature Anomaly Database (CoRTAD version 6; Saha et al., 2018), which is a collection of sea surface temperature variables, was used to extract temperature metrics for each sampling event (Sully et al., 2019). CoRTAD values were only extracted for a sampling event if sampled data had a clearly defined month and year — where sampling events were missing a date, the 15th day of the month was used. For any data given as a range (i.e., depth or date), the midpoint was taken and a comment was added to the HeatCRD.</p>
<p>See van Woesik and Kratochwill (2024) https://doi.org/10.1038/s41597-024-03221-3 for more information.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2048319 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2048319
completed
Robert van Woesik
Florida Institute of Technology
321-674-7475
150 West University Blvd
Melbourne
FL
32901-6975
USA
rvw@fit.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Site_ID
Sample_ID
Latitude_Degrees
Longitude_Degrees
Ocean_Name
Realm_Name
Ecoregion_Name
Ecoregion_distance
Country_Name
State_Island_Province_Name
Location_Name
Site_Name
Habitat_Type
Habitat_Distance
Date_Day
Date_Month
Date_Year
Date
Depth
Distance_to_shore
Exposure
Turbidity
Citation
Site_Comments
Sample_Comments
Percent_Hard_Coral_Cover
Percent_Macroalgal_Cover
Cover_Comments
MPA_Name
Designation
Designation_Type
IUCN_Category
Marine
Reported_Marine_Area
No_Take
No_Take_Area
Status
Status_Year
Governance_Type
Ownership_Type
Management_Authority
MPA_Distance
ClimSST
Temperature_Kelvin
Temperature_Mean
Temperature_Minimum
Temperature_Maximum
Temperature_Kelvin_Standard_Deviation
Windspeed
SSTA
SSTA_Standard_Deviation
SSTA_Mean
SSTA_Minimum
SSTA_Maximum
SSTA_Frequency
SSTA_Frequency_Standard_Deviation
SSTA_FrequencyMax
SSTA_FrequencyMean
SSTA_DHW
SSTA_DHW_Standard_Deviation
SSTA_DHWMax
SSTA_DHWMean
TSA
TSA_Standard_Deviation
TSA_Minimum
TSA_Maximum
TSA_Mean
TSA_Frequency
TSA_Frequency_Standard_Deviation
TSA_FrequencyMax
TSA_FrequencyMean
TSA_DHW
TSA_DHW_Standard_Deviation
TSA_DHWMax
TSA_DHWMean
theme
None, User defined
site
sample identification
latitude
longitude
region
length
site description
day of month
month of year
year
date
depth
turbidity
reference_paper
sample description
percent coverage
area
sea surface temperature
water temperature at measurement depth
wind_speed
count
time_elapsed
featureType
BCO-DMO Standard Parameters
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Thermal stress and differential recovery of coral reefs
https://osprey.bco-dmo.org/project/873979
Thermal stress and differential recovery of coral reefs
<p><strong>NSF Award Abstract:</strong></p>
<p>Coral reefs are the world’s most diverse marine ecosystem that provide invaluable goods and services for millions of people worldwide. Yet, coral reefs are experiencing thermal-stress events worldwide and their communities are changing. While coarse-grained climate models predict that few coral reefs will survive the 3ºC sea-surface temperature rise in the coming century, field studies show localized pockets of coral survival and recovery, even under high temperature conditions. Quantifying recovery from thermal-stress events is central to making accurate predictions of coral reef trajectories into the near future. This study examines the differential rates of coral recovery following thermal-stress events, globally, and determines the extent to which regional and local conditions influence recovery. This research is taking advantage of the recent progress in spatio-temporal analyses. One of the most transformative aspects of this work is determining where coral recovery rates differ from expectations, and how those differences relate to regional and local conditions. The research is of relevance to all persons that live and work near coral reefs. What happens to reef corals has cascading consequences on other reef-associated organisms and influences whether coral reefs can keep up with sea-level rise. This project is increasing scientific capacity by training a post-doctoral scholar and a PhD student in big-data analysis and making these analysis techniques broadly available. High quality and free online tutorials are supporting standards-driven instruction for high school math, science, and computer teachers in R, a programming language and software environment used for statistical computing and graphics. The project is producing large-scale data and computational resources, which are benefitting diverse users such as students, scientists, resource managers and the broader public.</p>
<p>The current rapid rate of climate change threatens coral reefs. Quantifying recovery from thermal-stress events is central to making accurate predictions of coral-reef trajectories into the near future. Coral populations in different geographic regions and under different local conditions vary in their capacity to tolerate or recover from thermal stress. However, how and why coral responses differ remains poorly understood. There is a clear need for accurate predictions of coral trajectories following thermal-stress events and for determining which interacting factors most influence coral recovery. This study is characterizing the relationships between the rates of coral recovery, frequency and intensity of thermal-stress events, geographic location, habitat, and local conditions that slow or enhance coral recovery. Four approaches are being used to analyze coral recovery: (i) a binary approach, (ii) a meta-analysis approach, (iii) an inverse-problem approach, and (iv) a state-space approach. Spatial and temporal differences in rates of coral recovery are being quantified by capitalizing on the latest developments in spatio-temporal analyses within a Bayesian framework. Observed outcomes of coral recovery are being compared with predicted outcomes to identify areas where recoveries are either higher or lower than expected, and to assess context-dependencies of coral recovery in relation to local and regional conditions. The most transformative aspect of the study is the identification of localities with greater than expected recovery rates, which could guide future conservation decisions by enabling managers to target coral reefs with specific characteristics for protection from human disturbances by designating them as potential refuges as the oceans continue to warm.</p>
<p>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.</p>
Coral Recovery
largerWorkCitation
project
eng; USA
biota
oceans
-179.97433333333
179.9644722
-30.2625
34.803
1977-03-15
2020-08-15
Global
0
BCO-DMO catalogue of parameters from Summary data from the Heatwaves and Coral-Recovery Database (HeatCRD) covering global coral reef sites from 1977-2020
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/935648.rdf
Name: Site_ID
Units: unitless
Description: <p>Unique identifier for each site.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935649.rdf
Name: Sample_ID
Units: unitless
Description: <p>Unique identifier for each sampling event.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935650.rdf
Name: Latitude_Degrees
Units: decimal degree
Description: <p>Latitude coordinates in decimal degrees.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935651.rdf
Name: Longitude_Degrees
Units: decimal degree
Description: <p>Longitude coordinates in decimal degrees.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935652.rdf
Name: Ocean_Name
Units: unitless
Description: <p>Ocean where sampling took place.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935653.rdf
Name: Realm_Name
Units: unitless
Description: <p>Marine realm where sampling took place.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935654.rdf
Name: Ecoregion_Name
Units: unitless
Description: <p>Ecoregion where sampling took place.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935655.rdf
Name: Ecoregion_distance
Units: degrees
Description: <p>Distance in degrees of the site from the nearest ecoregion polygon.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935656.rdf
Name: Country_Name
Units: unitless
Description: <p>The country where sampling took place.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935657.rdf
Name: State_Island_Province_Name
Units: unitless
Description: <p>The state, province, or island where sampling took place.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935658.rdf
Name: Location_Name
Units: unitless
Description: <p>Site or reef where sampling took place.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935659.rdf
Name: Site_Name
Units: unitless
Description: <p>Accepted name of the site or the name given by the team that sampled the reef.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935660.rdf
Name: Habitat_Type
Units: unitless
Description: <p>Habitat type where sampling took place.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935661.rdf
Name: Habitat_Distance
Units: degrees
Description: <p>Distance in degrees the site coordinate fell from the nearest habitat polygon.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935662.rdf
Name: Date_Day
Units: unitless
Description: <p>Day of month of the sampling event.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935663.rdf
Name: Date_Month
Units: unitless
Description: <p>Month of the sampling event.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935664.rdf
Name: Date_Year
Units: unitless
Description: <p>Year of the sampling event.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935665.rdf
Name: Date
Units: unitless
Description: <p>Date of sampling event, YYYY-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/935666.rdf
Name: Depth
Units: meters (m)
Description: <p>Depth (m) of the sampling site.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935667.rdf
Name: Distance_to_shore
Units: meters (m)
Description: <p>Distance (m) of the sampling site from the nearest land.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935668.rdf
Name: Exposure
Units: unitless
Description: <p>Site was considered exposed if it had > 20 km of fetch, if there were strong seasonal winds, or if the site faced the prevailing winds. Otherwise, the site was considered sheltered.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935669.rdf
Name: Turbidity
Units: reciprocal meters (m-1)
Description: <p>Mean 490kd with a buffer of 10 km.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935670.rdf
Name: Citation
Units: unitless
Description: <p>Original source of the data.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935671.rdf
Name: Site_Comments
Units: unitless
Description: <p>Comments on any issues with the site or additional information.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935672.rdf
Name: Sample_Comments
Units: unitless
Description: <p>Comments on any issue or additional information about the sampling event.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935673.rdf
Name: Percent_Hard_Coral_Cover
Units: percent
Description: <p>Percentage live coral cover.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935674.rdf
Name: Percent_Macroalgal_Cover
Units: percent
Description: <p>Percentage of macroalgal cover.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935675.rdf
Name: Cover_Comments
Units: unitless
Description: <p>Comments on any issue or additional information about the cover.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935676.rdf
Name: MPA_Name
Units: unitless
Description: <p>Name of the protected area.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935677.rdf
Name: Designation
Units: unitless
Description: <p>Designation of the protected area.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935678.rdf
Name: Designation_Type
Units: unitless
Description: <p>Category of the protected area.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935679.rdf
Name: IUCN_Category
Units: unitless
Description: <p>IUCN management category.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935680.rdf
Name: Marine
Units: unitless
Description: <p>Describes if a protected area is totally or partially within the marine habitat. 0 (predominantly or entirely terrestrial), 1 (Coastal: marine and terrestrial), and 2 (predominantly or entirely marine). The value '1' is only used for polygons.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935681.rdf
Name: Reported_Marine_Area
Units: km2
Description: <p>Area of protected area in marine habitat in km2.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935682.rdf
Name: No_Take
Units: unitless
Description: <p>Whether the taking of resources is prohibited.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935683.rdf
Name: No_Take_Area
Units: km2
Description: <p>Area of no take in km2.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935684.rdf
Name: Status
Units: unitless
Description: <p>Status of the protected area.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935685.rdf
Name: Status_Year
Units: year
Description: <p>Year the status of the protected area was effective.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935686.rdf
Name: Governance_Type
Units: unitless
Description: <p>Organization/government in charge of the protected area.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935687.rdf
Name: Ownership_Type
Units: unitless
Description: <p>Organization/government that legally ‘owns’ a protected area.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935688.rdf
Name: Management_Authority
Units: unitless
Description: <p>Group that manages the protected area.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935689.rdf
Name: MPA_Distance
Units: degrees
Description: <p>Distance of site to nearest MPA polygon in degrees.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935690.rdf
Name: ClimSST
Units: degrees Celsius
Description: <p>CoRTAD. [Climatological Sea-Surface Temperature (SST)] based on weekly SSTs for the study time frame, created using a harmonics approach in degrees Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935691.rdf
Name: Temperature_Kelvin
Units: Kelvin
Description: <p>CoRTAD. SST in Kelvin.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935692.rdf
Name: Temperature_Mean
Units: degrees Celsius
Description: <p>CoRTAD. Mean SST in degrees Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935693.rdf
Name: Temperature_Minimum
Units: degrees Celsius
Description: <p>CoRTAD. Minimum SST in degrees Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935694.rdf
Name: Temperature_Maximum
Units: degrees Celsius
Description: <p>CoRTAD. Maximum SST in degrees Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935695.rdf
Name: Temperature_Kelvin_Standard_Deviation
Units: Kelvin
Description: <p>CoRTAD. The standard deviation of SST in Kelvin.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935696.rdf
Name: Windspeed
Units: meters per hour
Description: <p>CoRTAD. Weekly-averaged 10 m wind speed time series from 1982–2012. Units are in meters per hour.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935697.rdf
Name: SSTA
Units: degrees Celsius
Description: <p>CoRTAD. (Sea-Surface Temperature Anomaly) weekly SST minus weekly climatological SST in degrees Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935698.rdf
Name: SSTA_Standard_Deviation
Units: degrees Celsius
Description: <p>CoRTAD. The Standard Deviation of weekly SSTA in degrees Celsius over the entire period.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935699.rdf
Name: SSTA_Mean
Units: degrees Celsius
Description: <p>CoRTAD. The mean SSTA in degrees Celsius over the entire period.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935700.rdf
Name: SSTA_Minimum
Units: degrees Celsius
Description: <p>CoRTAD. The minimum SSTA is in degrees Celsius over the entire period.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935701.rdf
Name: SSTA_Maximum
Units: degrees Celsius
Description: <p>CoRTAD. The maximum SSTA is in degrees Celsius over the entire period.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935702.rdf
Name: SSTA_Frequency
Units: SSTA per time period
Description: <p>CoRTAD. (Sea Surface Temperature Anomaly Frequency) Number of times over the previous 52 weeks that SSTA > = 1 degree Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935703.rdf
Name: SSTA_Frequency_Standard_Deviation
Units: SSTA per time period
Description: <p>CoRTAD. The standard deviation of SSTA Frequency in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935704.rdf
Name: SSTA_FrequencyMax
Units: SSTA per time period
Description: <p>CoRTAD. The maximum SSTA Frequency is in degrees Celsius over the entire period.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935705.rdf
Name: SSTA_FrequencyMean
Units: SSTA per time period
Description: <p>CoRTAD. The mean SSTA Frequency is in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935706.rdf
Name: SSTA_DHW
Units: weeks
Description: <p>CoRTAD. (Sea Surface Temperature Degree Heating Weeks) the sum of the previous 12 weeks when SSTA > = 1 degree Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935707.rdf
Name: SSTA_DHW_Standard_Deviation
Units: weeks
Description: <p>CoRTAD. The standard deviation SSTA DHW in degrees Celsius over the entire period.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935708.rdf
Name: SSTA_DHWMax
Units: weeks
Description: <p>CoRTAD. The maximum SSTA DHW in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935709.rdf
Name: SSTA_DHWMean
Units: weeks
Description: <p>CoRTAD. The mean SSTA DHW in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935710.rdf
Name: TSA
Units: degrees Celsius
Description: <p>CoRTAD. (Thermal Stress Anomaly) weekly SST minus the maximum of weekly climatological SSTs in degrees Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935711.rdf
Name: TSA_Standard_Deviation
Units: degrees Celsius
Description: <p>CoRTAD. The standard deviation of TSA in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935712.rdf
Name: TSA_Minimum
Units: degrees Celsius
Description: <p>CoRTAD. The minimum TSA is in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935713.rdf
Name: TSA_Maximum
Units: degrees Celsius
Description: <p>CoRTAD. The maximum TSA in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935714.rdf
Name: TSA_Mean
Units: degrees Celsius
Description: <p>CoRTAD. The mean TSA in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935715.rdf
Name: TSA_Frequency
Units: TSA per time period
Description: <p>CoRTAD. The number of times over the previous 52 weeks that TSA > = 1 degree Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935716.rdf
Name: TSA_Frequency_Standard_Deviation
Units: TSA per time period
Description: <p>CoRTAD. The standard deviation of the frequency of TSA in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935717.rdf
Name: TSA_FrequencyMax
Units: TSA per time period
Description: <p>CoRTAD. The maximum TSA frequency in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935718.rdf
Name: TSA_FrequencyMean
Units: TSA per time period
Description: <p>CoRTAD. The mean TSA frequency in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935719.rdf
Name: TSA_DHW
Units: weeks
Description: <p>CoRTAD. (Thermal Stress Anomaly Degree Heating Weeks) the sum of the previous 12 weeks when TSA > = 1 degree Celsius.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935720.rdf
Name: TSA_DHW_Standard_Deviation
Units: weeks
Description: <p>CoRTAD. The standard deviation of TSA DHW in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935721.rdf
Name: TSA_DHWMax
Units: weeks
Description: <p>CoRTAD. The maximum TSA DHW in degrees Celsius over the entire period of 23 years.</p>
http://lod.bco-dmo.org/id/dataset-parameter/935722.rdf
Name: TSA_DHWMean
Units: weeks
Description: <p>CoRTAD. The mean TSA DHW in degrees Celsius over the entire period of 23 years.</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
17242977
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/dc4ad849-ed60-41af-850b-95158f08641f/content
download
https://doi.org/10.26008/1912/bco-dmo.933334.1
download
onLine
dataset
<p>Data were collected from 160 data sources including data from established monitoring programs and new data extracted from the literature. To date, we have coral data for 12,266 sites, from 83 countries, from 1977 to 2020. Coral-cover data were extracted from the primary literature using WebPlotDigitizer version 4.6 (Marin, 2017). Sampling points that fell on land or were &gt; 1 km from any coral reef were removed. If sites were not named or given explicit coordinates, the coordinates were estimated and a comment was added to the data table. The coordinates were entered into Google Earth and the location names, distance to land in meters, and exposure were determined and recorded for each site. Exposure to waves was based on a site’s potential exposure to predominant&nbsp;winds, swell, and fetch (i.e., the extent of open ocean). Mean turbidity (Kd490) was added for each site (Sully and Woesik, (2020)). The Marine Ecoregions of the World (MEOW) shapefiles (Spalding et al., 2007) and IUCN’s (International Union for Conservation of Nature) World Database on Protected Areas (2022) were used to determine in which marine realm and protected area each site was located. Veron et al. (2015)'s ecoregions shapefiles were used to determine the ecoregion of each site. Data on the types of reef habitats were extracted from the Allen Coral Atlas (Lyons et al., 2022). The Coral Reef Temperature Anomaly Database (CoRTAD version 6; Saha et al., 2018), which is a collection of sea surface temperature variables, was used to extract temperature metrics for each sampling event (Sully et al., 2019). CoRTAD values were only extracted for a sampling event if sampled data had a clearly defined month and year — where sampling events were missing a date, the 15th day of the month was used. For any data given as a range (i.e., depth or date), the midpoint was taken and a comment was added to the HeatCRD.</p>
<p>See van Woesik and Kratochwill (2024) https://doi.org/10.1038/s41597-024-03221-3 for more information.</p>
Specified by the Principal Investigator(s)
<p>WebPlotDigitizer (Marin, 2017; version 4.6) was used to extract coral-cover data from primary literature.&nbsp;Data figures from each publication were uploaded as image files, axes were calibrated based on the chart type, and points added to extract the coral cover values at each location. Those values were then added to the database.</p>
<p>QGIS (QGIS, 2024; version 3.26.3) was used to extract habitat, MPA, ecoregion, and realm. Habitat shapefiles were downloaded from Allen Coral Atlas (Lyons at al. 2022), Ecoregion shapefiles from Veron et al. (2015), Realm shapefiles from Marine Ecoregions of the World (MEOW) (Spalding et al., 2007). A csv with the coordinates of each site was uploaded to QGIS&nbsp;along with the aforementioned shapefiles. I ensured the coordinate reference systems were accurate then used the NNJoin (havatv, 2019; version 3.1.3) plugin to extract the shapefile values that correspond to each site coordinate. The NNJoin plugin gives a distance value for any points that fell outside of a polygon. These values were then added to the database.</p>
<p>R (R Core Team, 2023; version 4.3.0) was used to extract CoRTAD and turbidity.&nbsp;R code (Sully, 2019a) was used to extract the turbidity data for each site as a raster. R code (Sully, 2019b) was used to&nbsp;extract the CoRTAD environmental data for each sampling event.&nbsp;</p>
Specified by the Principal Investigator(s)
-Extract "Sources_tbl" table from published Access database (van Woesik & Kratochwill, 2024) into "sources_without_errors.xlsx".
-Load "Heatwaves and Coral Recovery Database.xlsx" (as primary dataset), "Sources DOIs.csv", and "sources_without_errors.xlsx" into the BCO-DMO system.
-Join "Sources DOIs.csv" and "sources_without_errors.xlsx" on citation field.
-Find and replace special characters and non-standard spaces in all files.
-Find and replace garbled chars in all files.
-Add combined date field to primary dataset in yyyy-mm-dd format for rows with exact date.
-Round numbers to the 100th place in primary dataset.
-Publish final files as "933334_v1_heatwave_coral_recovery_data.csv" and "933334_supplement_heatwave_coral_recovery_data_sources".
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact