Dataset: Model Output - Majuro and Kiritimati

Name: Model output (carbonate production and erosion rates) from field data collected in Majuro and Kiritimati in 2019
Published: 2021-08-02
Keywords: oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.856943.1

Spatial Extent: N:7.22336 E:-157.54984 S:1.7749 W:171.34102

Temporal Extent: 2019-06-17 - 2019-07-22

Project:

Adjustment of western Pacific Ocean coral reefs to sea-level rise and ocean warming (Coral Reef Adjustment)

Principal Investigator:

Robert van Woesik (Florida Institute of Technology, FIT)

BCO-DMO Data Manager:

Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2021-08-02

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Model output (carbonate production and erosion rates) from field data collected in Majuro and Kiritimati in 2019

Abstract:

Carbonate production and erosion rates from field data collected in Majuro and Kiritimati in 2019. This dataset includes output of the model run. The input data files and R scripts are included in the supplemental .zip file and from the BCO-DMO Github repository (https://github.com/BCODMO/Pacific/releases/tag/1.0)

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Archival Copy

Version Date	Archive	Persistent Identifier	Date Assigned
2021-08-02	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.856943.1	2021-08-04

Description

R scripts and related data are available in a .zip file: Pacific_Repo_1.0.zip
These files are also available in the following GitHub repository: Pacific (release 1.0)

Methods & Sampling

Details of field methods and data analysis are published in van Woesik & Cacciapaglia (2021).

A stratified random sampling approach was used to survey the reefs of Majuro (7.0667° N, 171.2667° E) and Kiritimati (1.8721° N, 157.4278° W), by randomly selecting 24 study sites at each island using the package 'sp' in R. In both locations, a stratified random sampling approach was used to survey the reefs for carbonate production by randomly selecting 24 sites on each island, with the exception of Kiritimati where only 22 of the 24 sites were surveyed because of inclement weather. At both locations, the sites were stratified as either (i) outer reefs, or (ii) patch reefs in lagoons. The number of sites sampled per habitat varied according to the area of available habitat at each location. The investigators were particularly interested in determining the potential of shallow-water reef carbonate production, and therefore focused surveys between 2–5 m. Majuro was surveyed from 6/17/2019 to 7/6/2019 and Kiritimati was surveyed from 7/10/2019 to 7/22/2019.

Data Processing Description

BCO-DMO Processing:
Originally submitted GitHub repository https://github.com/rvanwoesik/Pacific forked to https://github.com/BCODMO/Pacific and tagged with release 1.0, which corresponds with this dataset submission. The original repository may have continued updates.

Data Files

File
model_output_Pacific.csv (Comma Separated Values (.csv), 4.10 KB) MD5:573728fd0f89a7577c96d17c8af4bdf5 Primary data file for dataset ID 856943

Supplemental Files

File

Pacific_Repo_1.0.zip

(ZIP Archive (ZIP), 20.70 MB)
MD5:703face70977899e2408ee42ec380c16

Data files and R scripts associated with dataset 856943. PI: Robert van Woesik. Also available from BCO-DMO Github at https://github.com/BCODMO/Pacific

Description of .zip contents:

Data: Within the excel files are both data from literature and the field. Excel files containing the country and the sites at which the data were collected. These include urchin data, fishes data, and coral data. The files on coral density, coral extension rates, coral species info, and fish species data are files used for both Majuro and Kiritimati. 

R scripts: The numbers and letters in front of the R scripts represent the order they were created and used in, and the country they correspond to. 

Our study started with a random stratified sampling of the two countries, so in Rscripts 1M and 1K, are our methods for the sampling. The output from our sampled runs were recorded in the excel files: study sites Majuro (M) and study sites Kiritimati (K). 

2M and 2K are the reef growth models, where all the collected data from the field and literature are used to determine the reef accretion rates at each site within the specified country. 

3M and 3K use the output of 2M and 2K site specific reef accretion to Krige the geographic space in between the study sites. 

4M and 4K use the output of 2M and 2K to Krige bioerosion by fishes in the geographic space between the study sites.

5M and 5K are used to krige individual fish species in the geographic space between the study sites.

6M and 6K use the output of 2M and 2K to Krige bioerosion by urchins in the geographic space between the study sites.

7M and 7K use collected data from the field and literature as well as output from 2P and 2Y to gain information used in the tables within the manuscript and supplementary document.

8 is used to make other plots not covered within scripts 3-7 including nMDS.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1657633

Deployments

None available yet

Instruments

None available yet

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
country	country of site	unitless	site_descrip
state	state of study site	unitless	site_descrip
locat	Reef habitats stratified as either 'outer', 'inner', or 'patch' reef	unitless	site_descrip
NP	Net carbonate production including all erosion, sedimentation, and production of carbonate at each site	kilograms calcium carbonate per year (kg CaCO3 yr-1)	production
GP	Gross carbonate production, excluding all sedimentation and erosional forces, at each site	kilograms calcium carbonate per year (kg CaCO3 yr-1)	production
BFj	Biological erosion caused by parrotfishes at each site	kilograms calcium carbonate per year (kg CaCO3 yr-1)	volume
BUj	Biological erosion caused by sea urchins at each site	kilograms calcium carbonate per year (kg CaCO3 yr-1)	volume
lon	longitude	decimal degrees East	lon
lat	latitude	decimal degrees North	lat

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Database

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Dataset: Model Output - Majuro and Kiritimati