Table 2 Summary of landscape genetics models

From: The relative contribution of natural landscapes and human-mediated factors on the connectivity of a noxious invasive weed

Feature

MLPE.lmm

MRDM

 

SSR

SNP

SSR

SNP

Intrinsic variables

Geographic distance

0.187* (0.052) / 12.303 [8]

0.780* (0.055) / 0.396 [4]

0.051 (0.121)

0.255* (0.056)

Population size (Ne)

–

–

-0.550 (0.001)

-2.650* (0.051)

Natural environment variables

Climate PC1

0.243 (0.034) / 10.356 [3]

0.967 (0.045) / 0.032 [2]

0.533* (0.064)

1.782 (0.517)

Climate PC2

0.205 (0.048) / 12.030 [7]

0.814* (0.055) / 1.560 [7]

-0.029 (0.978)

21.443* (0.075)

Elevation

0.244 (0.034) / 10.742 [4]

0.840* (0.054) / 1.423 [6]

-0.607 (0.480)

-31.789* (0.095)

Soil PC1

0.208 (0.039) / 11.378 [6]

1.044 (0.045) / 0.471 [5]

0.305 (0.510)

15.789 (0.038)

Soil PC2

0.320 (0.018) / 8.139 [2]

0.941 (0.045) / 0.284 [3]

0.187 (0.703)

-6.838 (0.476)

Human-impact variables

Crops

-0.226 (0.134) / 14.491 [9]

0.858* (0.054) / 15.371 [8]

0.154 (0.526)

0.360 (0.840)

Landcover

0.582 ( < 0.001) / 0 [1]

1.358 (0.003) / 39.775 [9]

0.340 (0.218)

3.887 (0.184)

Population density

0.227 (0.034)  10.821 [5]

0.912 (0.045) / 0 [1]

-0.519* (0.095)

-3.271 (0.037)

  1. Model coefficients are reported followed by associated p-value (in parenthesis) and, for MLPE.lmm models, followed by AICc difference and ranking (in square brackets). Significant coefficients are in bold, marginally significant coefficients are marked with an asterisk.
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