The effects of environmental factors and fisheries management on recreational catches of perch Perca fluviatilis in the Czech Republic

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Table 4

Results of GLMM models for recreational annual catches of perch Perca fluviatilis on different fishing grounds.

Dependent variable	Intercept	SD (intercept)	DF	R²	Explanatory variable	Slope	SD (slope)	p−value
Catch	24.34	5.18	228	0.11	No. of stocked fish	0.05	0.014	0.20
					Surface area of fishery (ha)	0.53	0.25	0.03
					Productivity	0.15	0.03	< 0.001
					No. fishing visits	0.05	0.03	0.01
Yield	16.80	1.17	228	0.09	Biomass of stocked fish	0.13	0.04	0.73
					Surface area of fishery (ha)	0.16	0.07	0.03
					Productivity	0.04	0.01	< 0.001
					No. fishing visits	0.014	0.009	0.01
Catch per visit	0.06	0.02	228	0.17	No. of stocked fish	0.00004	0.00003	0.21
					Surface area of fishery (ha)	0.0005	0.0002	0.03
					Productivity	0.00010	0.00002	< 0.001
					No. fishing visits	−0.000005	0.000001	< 0.001
Yield per visit	0.026	0.009	228	0.19	Biomass of stocked fish	0.00010	0.00004	0.71
					Surface area of fishery (ha)	0.00015	0.00006	0.02
					Productivity	0.000036	0.000007	0.01
					No. fishing visits	−0.000004	0.000001	< 0.001
Proportion in total catch numbers	0.057	0.012	228	0.07	No. of stocked fish	0.0000019	0.0000003	0.93
					Surface area of fishery (ha)	0.0006	0.0002	< 0.001
					Productivity	0.000030	0.000018	0.04
					No. fishing visits	0.000019	0.000002	0.36
Proportion in total yield	0.014	0.007	228	0.07	Biomass of stocked fish	0.00013	0.00002	0.53
					Surface area of fishery (ha)	0.00010	0.00003	< 0.001
					Productivity	0.0000020	0.0000005	0.61
					No. fishing visits	0.0000030	0.0000005	0.58
Average body weight	0.28	0.15	228	0.03	No. of stocked fish	0.000040	0.000009	0.63
					Biomass of stocked fish	0.0048	0.0011	0.14
					Surface area of fishery (ha)	0.0023	0.0013	0.08
					Productivity	0.00006	0.00002	0.34
					No. fishing visits	−0.000012	0.000007	0.87

SD = standard deviation; DF = degrees of freedom. Statistically significant results are in bold.

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