Figure 12: Estimates (With 95% Confidence Intervals) of the Effect of an Increase in One SD (0.31%) in the Areal Disturbance Due to Well Pads Within 3.2 Km of All Leks and the Pacific Decadal Oscillation Index (0.86) by the Statistic Used to Combine Repeated Lek Counts (Mean or Max) and the Period (A–C).

doi 10.7717/peerj.5417/fig-12
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Figure 5: Estimates (With 95% Confidence Intervals) of the Effect of an Increase in One SD (0.8%) in the Areal Disturbance Due to Well Pads (A) Within 3.2 Km and (B) the Pacific Decadal Oscillation Index (0.82).

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Table 4: The Relative Importance (Wi) of the Lag in the Pacific Decadal Oscillation Index as a Predictor of the Change in the Population Density Across All Models With a Lek Distance of 3.2 Km and the Areal Disturbance Due to Well Pads Lagged 1–4 Years.

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Table 3: The Relative Importance (Wi) of the Lag in the Areal Disturbance Due to Well Pads as a Predictor of the Change in the Population Density Across All Models With a Lek Distance of 3.2 Km and the Pacific Decadal Oscillation Index Independently Lagged 1–4 Years.

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Table 2: The Relative Importance (Wi) of the Lag in the Pacific Decadal Oscillation Index Density as a Predictor of the Count of Male Sage-Grouse at Individual Leks Across All Models With a Lek Distance of 0.8, 1.6, 3.2, 6.4 and 12.8 Km and the Areal Disturbance Due to Well Pads Independently Lagged 1–4 Years.

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Figure 11: Bayesian Estimates (With 95% Credible Intervals) of the Effect of the Percent Areal Disturbance Due to Oil and Gas Well Pads on the Expected Carrying Capacity at a Typical Working Group.

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Contribution of the Pacific Decadal Oscillation to Global Mean Sea Level Trends

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Figure S6: The Shaded Intervals Represent the 80%, 95%, and 99% Confidence Intervals of the Effect of Mean Current Velocity (Northward/Summer) (M/S) on the Probability ofLeptoserisoccurrence

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Decadal Variability in the Terrestrial Carbon Budget Caused by the Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation

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Table S2: Parameter Estimates and 95% Confidence Intervals Derived by Model Averaging Across the Confidence Set of Models

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