zooplankton_sog | R Documentation |
Biomass anomalies of zooplankton biomass from 1996 onwards for the deep waters, defined as bottom depths greater than 50 m, of the central and northern Strait of Georgia (see map in Perry et al., 2021). These extend the time series calculated by Perry et al. (2021) which was up to 2018, and as updated annually by Kelly Young in DFO's State of the Pacific Ocean Report (latest is Young et al., 2023); values here extend another year.
zooplankton_sog
A tibble also of class 'pacea_zooplankton' with the following
columns, where 'total_biomass' onwards represents the annual anomaly of
the specified species group in \log10 \mbox{g m}^{-2}
:
year of the calculated anomalies
total number of samples used for the annual anomalies; this matches the 'Total' column in Table 3 of Perry et al. (2021), though only up to 2013; from 2014-2018 the numbers here are higher due to further samples being processed. Data from 2019 onwards were not available for the Perry at al. (2021) study.
total volume of water filtered for all tows,
\mbox{m}^3
.
Total biomass
Gammarid amphipods
Hyperiid amphipods
Benthic larvae
Calanoid copepods (large)
Calanoid copepods (medium)
Calanoid copepods (small)
Cephalopoda
Chaetognatha
Cladocera
Ctenophora
Euphausiids
Larval fish
Larvacea
Medusae
Mysids
Natantia
Non-calanoid copeopods
Ostracoda
Other taxa
Pelagic polychaeta
Pteropods
Repantia
Scyphozoa
Siphonophorae
Following description is adapted from Young et al. (2023).
Zooplankton samples have been collected at approximately 20 standardized stations monthly from February to October since 2015, with historic (but sporadic sampling effort) data going back to 1995. Biomass was calculated from the deep trawls, with bottom depths greater than 50 m and vertical net haul samples that covered over 70% of the water column. Data were restricted to the central and northern Strait of Georgia (averaged together) as they have the most complete time series available.
For historical comparison, the seasonal variability in the zooplankton data was removed by calculating a regional, log10-scale biomass anomaly for selected species groups for a given year. A multi-year (1996 to most recent year) average seasonal cycle (climatology) was calculated as a baseline to compare monthly conditions during any single year. Seasonal anomalies were then averaged within each year to give an annual anomaly (for details see Perry et al., 2021).
See examples and zooplankton vignette.
Perry, R.I., Young, K., Galbraith, M., Chandler, P., Velez-Espino A., Baillie S. (2021). Zooplankton variability in the Strait of Georgia, Canada, and relationships with the marine survivals of Chinook and Coho salmon. PLoS ONE 16(1):e0245941. https://doi.org/10.1371/journal.pone.0245941
Young, K., Galbraith, M., Sastri, A., and Perry, R.I. (2023). Zooplankton status and trends in the central and northern Strait of Georgia, 2022. Pages 215-218 of Boldt, J.L., Joyce, E., Tucker, S., and Gauthier, S. (Eds.). 2023. State of the physical, biological and selected fishery resources of Pacific Canadian marine ecosystems in 2022. Canadian Technical Report of Fisheries and Aquatic Sciences. 3542: viii+312 p. https://www.dfo-mpo.gc.ca/oceans/publications/soto-rceo/2022/pac-technical-report-rapport-technique-eng.html
Andrew Edwards
Anomalies calculated and provided by Kelly Young, then wrangled and imported using 'data-raw/zooplankton/zooplankton.R'
## Not run:
# Also see zooplankton vignette
zooplankton_sog
plot(zooplankton_sog) # Default is total_biomass, calls plot.pacea_zooplankton()
plot(zooplankton_sog, species_group = "cladocera") # y-axis name is automated
## End(Not run)
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