Published January 23, 2022 | Version 1.00
Dataset Open

Data and custom codes from "Rapid evolution in salmon life-history induced by direct and indirect effects of fishing"

  • 1. University of Turku; Natural Resources Institute Finland (Luke); Norwegian Institute for Nature Research
  • 2. University of Helsinki
  • 3. Natural Resources Institute Finland (Luke)

Description

Data and custom codes from Czorlich, Y., Aykanat, T., Erkinaro, J., Orell, P. & Primmer, C.R. (2021) Rapid evolution in salmon life-history induced by direct and indirect effects of fishing. Science.

Codes:

The R file "Fishing_effort_parallel.R" was used to estimate fishing effort/intensity (beta in equation 8) given the length distribution, the gear-specific catchability and harvest rate

"Fishing_selection_estimate.R" was used to estimate fishery-induced selection at vgll3.

Datasets:

Genetic_phenotypic_data.xlsx: Genetic and phenotypic data about salmon from the Teno mainstem population

sonar_data.xlsx: Number of salmon per length class entering the river in 2018 and 2019. The length classes of salmon caught in those years by one of the fishing methods are also included

annual_catch_data.xlsx: Total mass (kg) of salmon caught by each fishing method between 1975 to 2014.

Environmental_data.xlsx: Data about Barents Sea temperature, biomass of key species, fishing data

individual_weight_salmon_catches.xlsx: Individual weight of salmon caught with different fishing gears in the last decades

Data sources:

- Genetic data (Tenojoki population, random sampling): From Czorlich et al. 2018, https://datadryad.org/stash/dataset/doi:10.5061/dryad.7hm4708

- Data about krill biomass (1980 – 2013) were taken from (1, 2).

- Capelin biomass estimated from acoustic survey and the landed capelin catches were derived from (3) for 1973 – 2013.

- Herring biomass data were retrieved from (4) for the 1973-1998 period. Herring biomass was calculated from the number of 1-2 year old herring and the mean weight per age as reported in (3) for 1988 – 2013.

- The annual biomass of cod (a predator of forage fish) was derived from VPA analyses ((5), table 3.24). Landed cod biomass was also taken from (5).

- An index for mesozooplankton (a forage fish food source) corresponding to the sum of Calanus biomass indices from different parts of the Barents Sea was used (6).

- The annual sea temperature in the Kola section of the Barents Sea measured in the upper 200 meters was from pinro.vniro.ru

- The total number of nets used to catch salmon in the Finnmark coastal region was calculated for each year using data from (7)

- Other data were generated for this study, please check the Material and Methods. 

References:

1. E. Eriksen, P. Dalpadado, Long-term changes in Krill biomass and distribution in the Barents Sea: Are the changes mainly related to capelin stock size and temperature conditions? Polar Biology. 34, 1399–1409 (2011).

2.      ICES, “Report of the Working Group on the Integrated Assessments of the Barents Sea. ICES CM 2017/SSGIEA:04. 186 pp.” (2017).

3.      ICES, “Report of the Arctic Fisheries Working Group (AFWG). ICES CM 2015/ACOM:05. 639 pp.” (2015).

4.      R. Toresen, O. J. Østvedt, Variation in abundance of Norwegian spring-spawning herring (Clupea harengus, Clupeidae) throughout the 20th century and the influence of climatic fluctuations. Fish and Fisheries. 85, 385–391 (2000).

5.      ICES, “Report of the Arctic Fisheries Working Group (AFWG). ICES CM 2016/ACOM:06. 621 pp.” (2016).

6.      L. C. Stige et al., Spatiotemporal statistical analyses reveal predator-driven zooplankton fluctuations in the Barents Sea. Progress in Oceanography. 120, 243–253 (2014).

7.      E. Niemelä, T. Kalske, E. Hassinen, “Numbers of fishing gears used in Kolarctic salmon project area, numbers of allowed sites for salmon fishing and numbers of salmon fishermen in Finnmark; development until the year 2013” (2013).

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