Data

Analysis of eReefs water quality scenarios to assess implications of land management for the CoTS initiation zone

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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These intermediate data files are not provided but can be re-created using this script and the original eReefs model data.    cots_reprocess.R puts all six scenarios into one combined dataframe and produces daily_values_all_scenarios3.rda or daily_values_all_scenarios3_large.rda, depending on settings. These intermediate data files are not provided.    ccip_salinity.R extracts salinity from the baseline scenario and adds it to the dataframe for all scenarios, producing daily_values_all_scenarios4.rda or daily_values_all_scenarios4_large.rda, depending on settings. 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While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2023). Analysis of eReefs water quality scenarios to assess implications of land management for the CoTS initiation zone. https://apps.aims.gov.au/metadata/view/fe52851a-7f02-43ff-9cb6-93c5c7da0c49, accessed[date-of-access].&rft_subject=oceans&rft_subject=Concentration of chlorophyll per unit volume of the water body&rft_subject=Practical salinity of the water body&rft_subject=Concentration of dissolved inorganic nitrogen per unit volume of the water body&rft_subject=Zooplankton total nitrogen&rft.type=dataset&rft.language=English Access the data
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http://creativecommons.org/licenses/by/3.0/au/

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2023). Analysis of eReefs water quality scenarios to assess implications of land management for the CoTS initiation zone. https://apps.aims.gov.au/metadata/view/fe52851a-7f02-43ff-9cb6-93c5c7da0c49, accessed[date-of-access]".

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Full description

R scripts and data files used to process, analyse and visualise eReefs catchment counter-factual scenario model data for the paper, "Kroon, Frederieke J., Joseph R. Crosswell, and Barbara J. Robson. The effect of catchment load reductions on water quality in the crown-of-thorn starfish outbreak initiation zone. Marine Pollution Bulletin 195 (2023): 115255."


Four R scripts are included:



    cots1.R extracts all data from the eReefs model scenario outputs and produces an R data file for each scenario. These intermediate data files are not provided but can be re-created using this script and the original eReefs model data.

    cots_reprocess.R puts all six scenarios into one combined dataframe and produces daily_values_all_scenarios3.rda or daily_values_all_scenarios3_large.rda, depending on settings. These intermediate data files are not provided.

    ccip_salinity.R extracts salinity from the baseline scenario and adds it to the dataframe for all scenarios, producing daily_values_all_scenarios4.rda or daily_values_all_scenarios4_large.rda, depending on settings. These final data files are provided.

    cots_analysis.R produces the figures and tables used in the manuscript.



Data used come from eReefs model counter-factual scenarios produced by CSIRO and available from https://dapds00.nci.org.au/thredds/catalogs/fx3/catalog.html

Lineage

Maintenance and Update Frequency: notPlanned
Statement: R scripts were run in R version 4.2.1. cots1.R depends on the ereefs R package available from https://github.com/open-AIMS/ereefs and eReefs model outputs available from https://github.com/open-AIMS/ereefs -- use the version available as at 23/4/2022 as the ereefs R package has since had a major update and is not backward-compatible.

Notes

Credit
Robson, B
Credit
COTS Control Innovation Program, Great Barrier Reef Foundation, Australia
Credit
Australian Institute of Marine Science (AIMS), Australia
Credit
Kroon, F
Credit
Crosswell, J
Credit
CSIRO Environment, Australia

Modified: 04 09 2026

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Subjects
Concentration of chlorophyll per unit volume of the water body | Concentration of dissolved inorganic nitrogen per unit volume of the water body | Practical salinity of the water body | Zooplankton total nitrogen | oceans |

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Other Information
eReefs model output

url : https://dapds00.nci.org.au/thredds/catalogs/fx3/catalog.html

Kroon, F. J., Crosswell, J. R., & Robson, B. J. (2023). The effect of catchment load reductions on water quality in the crown-of-thorn starfish outbreak initiation zone. Marine Pollution Bulletin, 195, 115255. https://doi.org/10.1016/j.marpolbul.2023.115255

doi : https://doi.org/10.1016/j.marpolbul.2023.115255

global : 12f1ce01-d37d-460f-acc5-a3c863f24027

Identifiers
  • global : fe52851a-7f02-43ff-9cb6-93c5c7da0c49
ACN 633 798 857