Table 1

Average annual catches and standard deviation (2000–2019) in each of the studied lakes. Changes in fishing effort were documented in some lakes (SupTable 1) and, when data were available, correlations were made between catches and catch per unit effort (CPUE).

Lake Mean annual catches (Tonnes) Standard deviation Substantial change in fishing effort that may have affected trends over the studied period Correlation between CPUE and catches
Annecy 11.43 3.59 No Pearson:0.56, p-val<0.05
Baikal 813.46 441.83 Unknown
Bienne 88.64 29.01 Unknown
Bourget 31.71 28.41 No Pearson:0.90, p-val<0.01
Brienz 3.89 2.49 Unknown
Constance 530.63 227.98 Unknown, actual under analyses
Erie 248.15 197.88 No
Geneva 385.66 200.34 No Pearson:0.83, p-val<0.01
Great Slave 493.48 244.52 No
Hallwil 9.27 4.72 Unknown
Huron 2852.01 1064.74 No
Lucerne 91.93 15.77 Unknown
Lugano 1.31 01.04 Unknown
Maggiore 10.10 4.58 Unknown
Michigan 2208.23 593.66 No
Morat 1.44 1.10 Unknown
Neuchâtel 209.47 63.02 No Pearson:0.89, p-val<0.01
Ontario 48.77 29.2 No
Peipsi 75.72 182.8 Closure from 2001 to 2006 of vendace fishery
Sempach 73.93 22.38 Unknown
Superior 2246.19 369.85 No
Thun 36.13 10.06 Unknown
Vänern 291.18 67.79 Reduce whitefish fishery and shift on crayfish − increase vendace fishery
Vättern 10.16 6.95 Reduce whitefish fishery and shift on crayfish
Walen 5.42 2.11 Unknown
Zug 10.95 11.29 Unknown
Zurich 123.49 50.2 Unknown

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