Dataset: Demography of coral in the future
Deployment: lab_Edmunds_NMMBA

Simulations

View Data: For data, See Dataset Metadata Page: https://www.bco-dmo.org/dataset/735069

Principal Investigator:

Peter J. Edmunds (California State University Northridge, CSUN)

Scientist:

Dr Lorenzo Bramanti (Laboratoire d'Écogéochimie des Environnements Benthiques , LECOB)

BCO-DMO Data Manager:

Hannah Ake (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Project:

The ecophysiological basis of the response of coral larvae and early life history stages to global climate change (Climate_Coral_Larvae)

Version:

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Description

Data published in Coral Reefs paper entitled “Using demographic models to project the effects of climate change on scleractinian corals: Pocillopora damicornis as a case study”.

Methods & Sampling

Dataset acquisition description

Methodology described in the associated paper.

Data Processing Description

Dataset Processing Description

BCO-DMO processing notes:
- Reformatted column names to comply with BCO-DMO standards

More information about this dataset deployment

Funding

Award Number	Funding Source
OCE-0844785	NSF Division of Ocean Sciences

Instruments

None available yet

Parameters

Supplied Name	Supplied description	Supplied Units	Standard Name
Simulation	Type of simulation	unitless	brief_desc
Year	Year of simulation	count	year
colony_density_stocastic1	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	density
colony_density_stocastic2	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	temperature
colony_density_stocastic3	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	pCO2
colony_density_stocastic4	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	count
colony_density_stocastic5	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	density
colony_density_stocastic6	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	temperature
colony_density_stocastic7	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	pCO2
colony_density_stocastic8	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	count
colony_density_stocastic9	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	temperature
colony_density_stocastic10	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	pCO2
colony_density_deterministic11	11 simulations, 10 of which based on the variability of the parameters fecundity and survival	Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count	density

Database

Contribute Data

Dataset: Demography of coral in the future
Deployment: lab_Edmunds_NMMBA

Dataset acquisition description

Dataset Processing Description

Database

Contribute Data

Dataset: Demography of coral in the futureDeployment: lab_Edmunds_NMMBA

Dataset acquisition description

Dataset Processing Description

Dataset: Demography of coral in the future
Deployment: lab_Edmunds_NMMBA