north_pacific_salmon: North Pacific Pink, Chum and Sockeye Salmon Abundance...

In nwfsc-timeseries/atsalibrary: Packages, data and scripts for ATSA course and lab book

North Pacific Pink, Chum and Sockeye Salmon Abundance 1925-2015

Description

Total abundance of natural spawners (not hatchery) from 15 regions in the N Pacific. These are data provided with Ruggerone, G. and Irvine, J. 2018. Numbers and biomass of natural- and hatchery-origin Pink, Chum, and Sockeye Salmon in the North Pacific Ocean, 1925-2015. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 10. DOI: 10.1002/mcf2.10023.

A total abundance data frame of pink, chum and sockeye summed across all regions is also provided.

Usage

data(north_pacific_salmon)

Format

Objects of class "data.frame".

Details

The full data have the columns:

• year

• region: ci e_kam japan kod korea m_i nbc pws sbc seak s_pen wa wak w_kam wc

• returns

• species: pink chum sockeye

The year (total abundance) data have the columns:

• year

• chum, pink, sockeye and are the sum across all regions (with na.rm=TRUE).

References

Ruggerone, G. and Irvine, J. 2018. Numbers and biomass of natural- and hatchery-origin Pink, Chum, and Sockeye Salmon in the North Pacific Ocean, 1925-2015. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 10. DOI: 10.1002/mcf2.10023.

Examples

data(north_pacific_salmon)
np_salmon %>% 
  filter(species=="pink") %>% 
  ggplot(aes(x=year, y=log(returns))) + 
  geom_line() + 
  ggtitle("pink salmon log abundance") +
  facet_wrap(~region)
  
  np_salmon_year %>%
  pivot_longer(cols = c(pink, chum, sockeye), names_to = "species", values_to = "returns") %>%
  ggplot(aes(x = year, y = log(returns))) +
  geom_line() +
  facet_wrap(~ species, scales = "free_y") +
  labs(title = "Log returns of salmon species", 
       y = "log(returns)",
       x = "Year") +
  theme_minimal()

nwfsc-timeseries/atsalibrary documentation built on June 15, 2025, 2:18 a.m.