A Model For Sea Lice (Lepeophtheirus salmonis) Dynamics In A Seasonally Changing Environment

This project contains R code to replicate the results of our modelling research on sea lice. The file, Marty_Data.csv, is a .csv conversion of data from Marty et al. (2010), DOI: 10.1073/pnas.1009573108. The file, RittenhouseEtAl_eggviability, fits a linear model to salinity and egg viability data f...

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Main Author: Rittenhouse, Matthew
Format: Dataset
Language:unknown
Published: figshare 2015
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.1538626.v1
https://figshare.com/articles/dataset/A_Model_For_Sea_Lice_Lepeophtheirus_salmonis_Dynamics_In_A_Seasonally_Changing_Environment/1538626/1
id ftdatacite:10.6084/m9.figshare.1538626.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.1538626.v1 2023-05-15T17:22:01+02:00 A Model For Sea Lice (Lepeophtheirus salmonis) Dynamics In A Seasonally Changing Environment Rittenhouse, Matthew 2015 https://dx.doi.org/10.6084/m9.figshare.1538626.v1 https://figshare.com/articles/dataset/A_Model_For_Sea_Lice_Lepeophtheirus_salmonis_Dynamics_In_A_Seasonally_Changing_Environment/1538626/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.1538626 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Parasitology Ecology FOS Biological sciences dataset Dataset 2015 ftdatacite https://doi.org/10.6084/m9.figshare.1538626.v1 https://doi.org/10.6084/m9.figshare.1538626 2021-11-05T12:55:41Z This project contains R code to replicate the results of our modelling research on sea lice. The file, Marty_Data.csv, is a .csv conversion of data from Marty et al. (2010), DOI: 10.1073/pnas.1009573108. The file, RittenhouseEtAl_eggviability, fits a linear model to salinity and egg viability data from Johnson & Albright (1991). The file, RittenhouseEtAl_ModelDynamics.R produces figure 2 and figure 3 of our manuscript. The file, RittenhouseEtAl_SensitivityAnalysis.R, produces our sensitivity analysis results and figure 5 of our manuscript. The file, RittenhouseEtAl_SiteEnvironment, fits sinusoidal models to temperature and salinity data from British Columbia (Marty_Data.csv) and Newfoundland(not included), and finds the the 5th, 50th, and 95th percentiles of the temperature and salinity data at these two sites. The file, RittenhouseEtAl_R0t, finds R0(t) for the two sites as well as mortality rates and maturation times. The file, RittenhouseEtAl_CaseStudyFigure creates figure 4 of the main text. For legal reasons, we unfortunately can not include data from our Newfoundland case study site. As such, errors will be returned on the RittenhouseEtAl_SiteEnvironment.R and RittenhouseEtAl_CaseStudyFigure.R files. The information for the British Columbia site, as well as panels A, B, and C of figure 5 are still able to be replicated without this data. The files, RittenhouseEtAl_SiteEnvironment.R and RittenhouseEtAl.R0t.R should be run before RittenhouseEtAl_CaseStudyFigure.R. The files are meant to be placed in the same file and run in the following order and manner: rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_eggviability.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_ModelDynamics.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_SensitivityAnalysis.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_SiteEnvironment.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_R0t.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_CaseStudyFigure.R") Dataset Newfoundland DataCite Metadata Store (German National Library of Science and Technology) Albright ENVELOPE(155.100,155.100,-82.817,-82.817)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Parasitology
Ecology
FOS Biological sciences
spellingShingle Parasitology
Ecology
FOS Biological sciences
Rittenhouse, Matthew
A Model For Sea Lice (Lepeophtheirus salmonis) Dynamics In A Seasonally Changing Environment
topic_facet Parasitology
Ecology
FOS Biological sciences
description This project contains R code to replicate the results of our modelling research on sea lice. The file, Marty_Data.csv, is a .csv conversion of data from Marty et al. (2010), DOI: 10.1073/pnas.1009573108. The file, RittenhouseEtAl_eggviability, fits a linear model to salinity and egg viability data from Johnson & Albright (1991). The file, RittenhouseEtAl_ModelDynamics.R produces figure 2 and figure 3 of our manuscript. The file, RittenhouseEtAl_SensitivityAnalysis.R, produces our sensitivity analysis results and figure 5 of our manuscript. The file, RittenhouseEtAl_SiteEnvironment, fits sinusoidal models to temperature and salinity data from British Columbia (Marty_Data.csv) and Newfoundland(not included), and finds the the 5th, 50th, and 95th percentiles of the temperature and salinity data at these two sites. The file, RittenhouseEtAl_R0t, finds R0(t) for the two sites as well as mortality rates and maturation times. The file, RittenhouseEtAl_CaseStudyFigure creates figure 4 of the main text. For legal reasons, we unfortunately can not include data from our Newfoundland case study site. As such, errors will be returned on the RittenhouseEtAl_SiteEnvironment.R and RittenhouseEtAl_CaseStudyFigure.R files. The information for the British Columbia site, as well as panels A, B, and C of figure 5 are still able to be replicated without this data. The files, RittenhouseEtAl_SiteEnvironment.R and RittenhouseEtAl.R0t.R should be run before RittenhouseEtAl_CaseStudyFigure.R. The files are meant to be placed in the same file and run in the following order and manner: rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_eggviability.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_ModelDynamics.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_SensitivityAnalysis.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_SiteEnvironment.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_R0t.R") rm(list = ls()) # clear workspace setwd() # Set this to folder's location source("RittenhouseEtAl_CaseStudyFigure.R")
format Dataset
author Rittenhouse, Matthew
author_facet Rittenhouse, Matthew
author_sort Rittenhouse, Matthew
title A Model For Sea Lice (Lepeophtheirus salmonis) Dynamics In A Seasonally Changing Environment
title_short A Model For Sea Lice (Lepeophtheirus salmonis) Dynamics In A Seasonally Changing Environment
title_full A Model For Sea Lice (Lepeophtheirus salmonis) Dynamics In A Seasonally Changing Environment
title_fullStr A Model For Sea Lice (Lepeophtheirus salmonis) Dynamics In A Seasonally Changing Environment
title_full_unstemmed A Model For Sea Lice (Lepeophtheirus salmonis) Dynamics In A Seasonally Changing Environment
title_sort model for sea lice (lepeophtheirus salmonis) dynamics in a seasonally changing environment
publisher figshare
publishDate 2015
url https://dx.doi.org/10.6084/m9.figshare.1538626.v1
https://figshare.com/articles/dataset/A_Model_For_Sea_Lice_Lepeophtheirus_salmonis_Dynamics_In_A_Seasonally_Changing_Environment/1538626/1
long_lat ENVELOPE(155.100,155.100,-82.817,-82.817)
geographic Albright
geographic_facet Albright
genre Newfoundland
genre_facet Newfoundland
op_relation https://dx.doi.org/10.6084/m9.figshare.1538626
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.1538626.v1
https://doi.org/10.6084/m9.figshare.1538626
_version_ 1766108256037502976