Spawning stock biomass modulation of environment–recruitment relationship in a marginal spring spawning herring (Clupea harengus membras) population

Author:

Ojaveer Henn12,Klais-Peets Riina3,Einberg Heli4,Rubene Gunta5

Affiliation:

1. Pärnu College, University of Tartu, Ringi 35, Pärnu 80012, Estonia.

2. National Institute of Aquatic Resources, Technical University of Denmark, Kemitorvet Building 201, Kgs. Lyngby 2800, Denmark.

3. EcoStat Ltd., Ladva 6, Tartu 50705, Estonia.

4. Estonian Marine Institute, University of Tartu, Mäealuse 14, Tallinn 12618, Estonia.

5. Fish Resources Research Department, Institute of Food Safety, Animal Health and Environment, Daugavgrivas 8, Riga LV-1048, Latvia.

Abstract

Scientific interest in the dynamics of fish recruitment dates back to the beginning of the 20th century. Since then, several studies have shown that the environment may have a stronger effect on recruitment (R) compared to that of the spawning stock biomass (SSB). By combining a suite of methods designed to detect the nonlinear, nonstationary and interactive relationships, we have re-evaluated the potential drivers and their interactions responsible for the multiannual dynamics of the recruitment dynamics of the Gulf of Riga (Baltic Sea) spring spawning herring (Clupea harengus membras) population at the longest time-span to date (1958–2015) allowing coverage of variable ecosystem conditions. R was affected significantly by prey density and the severity of the first winter. Although SSB was not a good predictor of R, adding interaction with SSB significantly improved the model, hence the effect of the two environmental variables on R was modulated by SSB. While temporal changes in the environment–R relationship were generally gradual, several abrupt changes were evident in the strength of these relationships. In addition, nonstationary, linear and nonlinear relationships were observed.

Funder

European Union, Estonian Research Council

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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