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Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history
Version 2 2019-08-01, 11:32
Version 1 2019-08-01, 11:16
dataset
posted on 2019-08-01, 11:32 authored by Jonatan MarquezJonatan Marquez, Sondre AanesThe data is divided three:
SpatialData.rda :
The Rdata file contains indices of density of several marine fish species across the Barents Sea, which were derived from data collected by the Norwegian Institute for Marine Research and the Polar Research Institute of Marine Fisheries and Oceanography from January to March, every year from 1985 to 2016.
The data is structured as following:
"Data" is divided into each of the species .In order: North East Atlantic (NEA) cod (Gadus
morhua), NEA haddock (Melanogramus
aeglefinus), NEA saithe (Pollachius
virens), beaked redfish (Sebastes
mentella), golden redfish (Sebastes
marinus), blue whiting (Micromesistius
poutassou), Barents Sea capelin (Mallotus
villosus) and Norwegian spring-spawning herring (Clupea harengus).
"Data[[<>]]" is further divided into the ten resolution the density indices were grouped by. The resolution (i.e. size in km2 of each of the hexagonal cell of the grid used to spatially divide the Barents Sea), are given by the name of the sublist, namely 2500, 4900, 9100, 12100, 16900, 22500, 28900, 36100, 44100, 52900.
Data[[<>]][[<>]] is divided into:
"dmatrix" --> a matrix with the densities of the given species of each cell and year.
"LLmat" --> a matrix with coordinates of the centres of each of the cells.
For more details on the data sampling design see references linked
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Dynlife2.Rdata :
This rdata file contains information on 5 life history variables
for 9 species:
The 9 spesies appear in the following order: cod, haddock, saithe, beaked redfish, golden redfish, Greenland halibut, blue withing, capelin, herring
The 7 variables have the following order: E(M), Var (M), CV(R/S), CV(lambda), T, mean (R/S), mean (lambda).
The methodology used to calculate these variables can be found in Bjørkvoll et al. 2012
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Scaling_LifeHist.N.boot.r & Scaling_LifeHist.r.boot.r :
R scripts used to test the relationship between life history and spatial synchrony
Funding
Sustainable management of renewable resources in a changing environment:an integrated approach across ecosystems
The Research Council of Norway
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