Table 3 Multiple anthropogenic source regression results.

From: Coastal pollution limits pelagic larval dispersal

F _ST	Full data set			D _EST
Marker	Model	R ²	ΔAICc	Marker	Model	R ²	ΔAICc
LD	RSA, RLA, RSG, RSC, SHP, SPV	0.5768	0.00	LD	*RSA, RLA, RSG, SHP, SPV, SPS*	0.5406	0.00
mtDNA	*RSA, RLA, RSG, SHP, SPV*	0.5669	0.48	mtDNA	RSA, RLA, RSG, SHP, SPV, SHB, SPS	0.5445	1.32
	RLA, RSG, RSC, SHP, SPV, SHB	0.5743	0.70		RSA, RLA, RSG, SHP, SPV, SPS, DIST	0.5432	1.66
Full	*RSA, RLA, RSG, SHP, SPV, SPS*	0.3259	0.00	Full	*RSA, RLA, RSG, SHP, SPV*	0.2655	0.00
mtDNA	RSA, RLA, RSG, RSC, SHP, SPV, SPS	0.3365	0.45	mtDNA	DIST, RSA, RLA, RSG, SHP, SPV	0.2741	0.88
	RSA, RLA, SPV, SHB, SPS	0.3080	0.86		RSA, RLA, RSG, SPV, SHB	0.2532	1.99
nDNA	*RLA, RSG, RSC, SHP, SPV*	0.1075	0.00	nDNA	RSA, RSC, SHP, SPV	0.1181	0.00
	RSA, RSC, SHP, SPV	0.1233	0.08		*RLA, RSG, RSC, SHP, SPV*	0.1292	0.74
	RLA, RSG, RSC, SHP, SPV	0.1382	0.28		RSC, SHP, SPV, SHB	0.1116	0.88
F _ST	N >20 subset			D _EST
Marker	Model	R ²	ΔAICc	Marker	Model	R ²	ΔAICc
LD	*RLA, RSC, SHP, SPV*	0.7621	0.00	LD	*DIST, RLA, RSG, SHP, SPS*	0.9369	0.00
mtDNA	RLA, RSC, SHP, SPV, SPS	0.7705	0.11	mtDNA	DIST, RSG, SHP, SPV, SPS	0.9368	0.12
	RSG, RSC, SHP, SPV	0.7616	0.13		DIST, RLA, SHP, SPV, SPS	0.9367	0.20
Full	*RSA, RLA, RSG, SHP, SPS*	0.6802	0.00	Full	*RLA, RSC, SHP, SPV, SPS*	0.4288	0.00
mtDNA	RLA, RSG, SHP, SHB, SPS	0.6802	0.00	mtDNA	RSG, RSC, SHP, SPV, SPS	0.4287	0.01
	RSA, RSG, SHP, SHB, SPS	0.6802	0.00		RLA, RSG, RSC, SHP, SPS	0.4275	0.14
nDNA	*RLA, RSG, SHP, SPS*	0.4447	0.00	nDNA	*RSC, SPS*	0.2365	0.00
	SHP, SPV, SHB, SPS	0.4441	0.08		RSC, SPV, SPS	0.2525	0.95
	RSA, SHP, SPV, SPS	0.4421	0.32		RLA, RSC, SPS	0.2425	1.82

DIST, geographic distance; LD, low diversity; mtDNA, mitochondrial DNA; RLA, The Los Angeles River; RSA, The Santa Ana River; RSC, The Santa Clara River; RSG, The San Gabriel River; SHB, outfall for the Huntington Beach wastewater treatment facility; SHP, Hyperion sewage treatment plant; SPS, outfall for the Point Loma wastewater treatment plant; SPV, outfall for the Rancho Palos Verdes wastewater treatment plant.
The R² and AICc values for the top three multivariate models for each marker and for each measure of genetic structure. Full mtDNA refers to using both loci in a concatenated analysis (see Methods). Models were ranked by AICc score. Each variable was italicized if its regression coefficient was significantly different than zero with P<0.05. The best model, in bold, was chosen as the model with the lowest AICc score that had all significant variable coefficients. All of the models were significant at P<0.001, with the exception of the models using nDNA, which were all significant at P<0.05.

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Table 3 Multiple anthropogenic source regression results.

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