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Figure 1. Map of Alaska indicating the location of (A) the Caribou Poker Creek Research Watershed (CPCRW) and (B) the ... Figure 1. Map of Alaska indicating.

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Presentation on theme: "Figure 1. Map of Alaska indicating the location of (A) the Caribou Poker Creek Research Watershed (CPCRW) and (B) the ... Figure 1. Map of Alaska indicating."— Presentation transcript:

1 Figure 1. Map of Alaska indicating the location of (A) the Caribou Poker Creek Research Watershed (CPCRW) and (B) the ... Figure 1. Map of Alaska indicating the location of (A) the Caribou Poker Creek Research Watershed (CPCRW) and (B) the location of the sample sites along each transect. Yellow dots indicate where samples were taken and included in the final analysis, while red dots indicate landscape positions where samples could not be recovered or where samples were compromised during processing, such that they were excluded from the final analysis. Unless provided in the caption above, the following copyright applies to the content of this slide: Published by Oxford University Press on behalf of FEMS 2018.This work is written by (a) US Government employee(s) and is in the public domain in the US. FEMS Microbiol Ecol, Volume 94, Issue 8, 14 June 2018, fiy110, The content of this slide may be subject to copyright: please see the slide notes for details.

2 Figure 2. (A) Principal components analysis (PCA) representing environmental variation between samples, and Kriging ... Figure 2. (A) Principal components analysis (PCA) representing environmental variation between samples, and Kriging predictions of spatial patterns of environmental variation based on (B) PC1 and (C) PC2 scores across the sampling area (n = 59). Unless provided in the caption above, the following copyright applies to the content of this slide: Published by Oxford University Press on behalf of FEMS 2018.This work is written by (a) US Government employee(s) and is in the public domain in the US. FEMS Microbiol Ecol, Volume 94, Issue 8, 14 June 2018, fiy110, The content of this slide may be subject to copyright: please see the slide notes for details.

3 Figure 3. (A) Non-metric multidimensional scaling (NMDS) plot representing the Bray Curtis dissimilarity in microbial ... Figure 3. (A) Non-metric multidimensional scaling (NMDS) plot representing the Bray Curtis dissimilarity in microbial community composition between samples, with environmental vectors overlaid, and Kriging predictions of spatial patterns of community composition based on (B) NMDS1 and (C) NMDS2 scores across the sampling area (n = 59). Unless provided in the caption above, the following copyright applies to the content of this slide: Published by Oxford University Press on behalf of FEMS 2018.This work is written by (a) US Government employee(s) and is in the public domain in the US. FEMS Microbiol Ecol, Volume 94, Issue 8, 14 June 2018, fiy110, The content of this slide may be subject to copyright: please see the slide notes for details.

4 Figure 4. The proportion of variation in microbial community composition explained by the environmental and spatial ... Figure 4. The proportion of variation in microbial community composition explained by the environmental and spatial variables selected in forward stepwise model building (n = 59): including additional variables improved the adjusted R<sup>2</sup> of the model by <0.02. Unless provided in the caption above, the following copyright applies to the content of this slide: Published by Oxford University Press on behalf of FEMS 2018.This work is written by (a) US Government employee(s) and is in the public domain in the US. FEMS Microbiol Ecol, Volume 94, Issue 8, 14 June 2018, fiy110, The content of this slide may be subject to copyright: please see the slide notes for details.

5 Figure 5. Histograms representing the observed distribution of comparisons based on βNTI and RCBray. Red ... Figure 5. Histograms representing the observed distribution of comparisons based on βNTI and RC<sub>Bray</sub>. Red lines represent the significance thresholds, whereby values outside their bounds are significantly different from the null distribution (n = 59). Unless provided in the caption above, the following copyright applies to the content of this slide: Published by Oxford University Press on behalf of FEMS 2018.This work is written by (a) US Government employee(s) and is in the public domain in the US. FEMS Microbiol Ecol, Volume 94, Issue 8, 14 June 2018, fiy110, The content of this slide may be subject to copyright: please see the slide notes for details.

6 Figure 6. Final structural equation model (X2 = 10.3, d.f. = 8, P = 0.25) representing relationships between ... Figure 6. Final structural equation model (X<sup>2</sup> = 10.3, d.f. = 8, P = 0.25) representing relationships between variables hypothesized to deterministically influence community composition (n = 59). Values alongside arrows represent standardized path coefficients, and the variation explained for endogenous variables is indicated above each variable. All paths are significant. Unless provided in the caption above, the following copyright applies to the content of this slide: Published by Oxford University Press on behalf of FEMS 2018.This work is written by (a) US Government employee(s) and is in the public domain in the US. FEMS Microbiol Ecol, Volume 94, Issue 8, 14 June 2018, fiy110, The content of this slide may be subject to copyright: please see the slide notes for details.

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