Table 4 Comparison of detection power of models with continuous or categorized (threshold) fishing intensity (FI) as a predictor variable.

From: Defining thresholds of sustainable impact on benthic communities in relation to fishing disturbance

Response		ΔAIC	Model with continuous FI				Model with categorical FI (threshold)
			Power to detect a change of				Power to detect a change of
			15%		25%		25%		50%
			mean	95%ci	mean	95%ci	mean	95%ci	mean	95%ci
All infauna	(Ab)	9.91	65	58–71	97	93–98	21	15–27	58	51–65
All infauna	(Bio)	1.57	23	18–29	45	38–51	9	6–14	9	5–13
Bivalvia	(Ab)	2.73	32	26–39	69	62–75	19	14–25	38	31–44
Bivalvia	(Bio)	4.33	14	9–19	25	19–31	7	4–11	7	4–11
Crustacea	(Ab)	1.38	30	24–37	66	59–72	18	13–23	32	26–39
Crustacea	(Bio)	8.19	41	34–47	78	71–83	19	14–25	45	38–51
Echinodermata	(Ab)	2.38	21	15–27	45	38–52	19	14–25	19	14–24
Echinodermata	(Bio)	7.55	42	35–49	78	72–83	17	12–22	33	26–39
Polychaetae	(Ab)	−34.57	64	57–70	95	90–97	22	16–28	55	48–61
Polychaetae	(Bio)	3.73	40	33–47	76	70–81	15	11–21	44	37–51
Sipuncula	(Ab)	2.97	21	16–27	32	26–39	17	12–22	20	15–26
Sipuncula	(Bio)	55.2	38	32–45	79	73–84	15	10–20	63	56–69
		55.2	27	21–34	58	51–65	15	10–20	63	56–69
All epifauna*	(Ab)	4.1	94	90–97	100	98–100	27	21–34	73	66–79
	(Ab)	4.1	97	93–99	100	98–100	27	21–34	73	66–79
	(Bio)		87	82–91	100	98–100	21	16–27	53	46–59
Bivalvia*	(Ab)	6.7	40	33–46	60	53–66	18	13–24	28	22–34
Bivalvia*	(Bio)	8.11	63	56–69	96	92–98	14	9–19	14	9–19
Bryozoa	(Bio)	22.51	97	93–99	100	98–100	68	61–74	100	98–100
Chordata	(Ab)	1.52	84	78–88	100	98–100	28	22–34	60	53–66
Chordata	(Bio)	8.61	61	54–67	96	92–98	13	9–18	36	29–42
Cnidaria	(Ab)	7.26	72	65–77	99	96–100	26	20–33	81	75–86
Cnidaria	(Bio)	11.31	71	64–77	99	96–100	27	21–33	81	75–86
Crustacea	(Ab)	2.6	83	77–87	100	98–100	32	26–39	82	76–87
Crustacea	(Bio)	7.61	76	69–81	100	98–100	20	15–26	61	54–68
Echinodermata*	(Ab)	8.49	58	51–64	94	90–97	17	12–23	48	41–54
Echinodermata*	(Bio)	9.09	62	55–68	96	92–98	26	20–32	64	57–70
Gastropoda	(Ab)	3.28	54	47–61	85	79–89	16	12–22	50	43–57
Gastropoda	(Bio)	35.23	24	18–30	61	54–67	11	7–16	40	33–47

ΔAIC is the difference in AIC between models using continuous FI as a predictor versus the threshold approach. A positive value means that the best model was the threshold model. The power to detect a decrease of 15% and 25% per dredge pass with the continuous FI approach is reported for α = 0.1, as well as the power to detect a decrease of 25% and 50% with the threshold approach. The values in bold are the values which exceed a power of 80%.

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Table 4 Comparison of detection power of models with continuous or categorized (threshold) fishing intensity (FI) as a predictor variable.

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