Moran’s I values for water quality indicators among the three sampling seasons.

<p>**indicates significant at <i>p</i><0.01;</p><p>*indicates significant at <i>p</i><0.05.</p

LSD Post Hoc multiple comparisons of water quality variables among the three types of watersheds.

<p>*indicates significant at <i>p</i><0.05.</p

Comparison of R², AIC and Moran’s I values between OLS models and spatial regressions.

<p>Comparison of R², AIC and Moran’s I values between OLS models and spatial regressions.</p

K independent samples of water quality among the different sampling seasons.

<p>Sample No.  = 60; Asymp. Sig. <0.05 indicates significant variation.</p

The four potential pollution sources identified to explain spatiotemporal variations in water quality for 20 headwater watersheds in the JRW.

<p>(PC1, PC2, PC3, and PC4 represents landscape patterns, urbanization and socioeconomic development, agricultural activity, and natural control, respectively).</p

Spatial regression models established in the JRW.

<p>Note: Factor1, 2, 3, and 4 corresponds to the four components identified and presented in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0091528#pone-0091528-g006" target="_blank">Fig. 6</a>.</p><p><i>a</i> denotes the results of spatial error models, <i>b</i> denotes the results of spatial lag models.</p><p>WY: weighted mean of the dependent variable for adjacent sub-basins.</p><p>*indicates significant at <i>p</i><0.05.</p><p>**indicates significant at <i>p</i><0.01.</p

Sampling sites in the watershed studied.

<p>Sampling sites in the watershed studied.</p

Total variance explained for environmental factors.

<p>Total variance explained for environmental factors.</p

Total variance explained in the three sampling seasons.

<p>Total variance explained in the three sampling seasons.</p

Correlations between selected water quality parameters and environmental variables using Pearson analysis.

<p>*indicates significant at <i>p</i><0.05;</p><p>**indicates significant at <i>p</i><0.01.</p