Table 3.
PCA variable loadings among the oviposition site selection by G. pecorum associated factors.
| Factors | Axis 1 | Axis 2 | Axis 3 | Axis 4 |
|---|---|---|---|---|
| Altitude (m) | −0.007 | 0.005 | 0.004 | −0.003 |
| Total vegetation coverage (%) | 0.027 | −0.031 | −0.359 | 0.114 |
| Stipa capillata coverage (%) | 0.017 | −0.060 | −0.396 | 0.130 |
| Stipa capillata frequency (%) | −0.040 | −0.132 | 0.651 | 0.401 |
| Stipa capillata height (cm) | −0.017 | 0.040 | −0.312 | 0.700 |
| Ceratoides latens coverage (%) | 0.022 | 0.102 | −0.187 | 0.157 |
| Artemisia sp. coverage (%) | 0.017 | −0.016 | −0.170 | 0.282 |
| Vegetation families | −0.001 | −0.090 | 0.054 | 0.147 |
| Vegetation number | 0.005 | −0.055 | 0.073 | 0.091 |
| Distance to nearest water (m) | −0.003 | −0.036 | −0.110 | −0.119 |
| Distance to nearest path (m) | −0.066 | 0.039 | 0.307 | 0.354 |
| Slope direction | −0.025 | −0.105 | −0.075 | 0.203 |
| Slope position | 0.996 | 0.002 | 0.062 | 0.043 |
| Slope gradient (°) | −0.006 | 0.970 | 0.067 | 0.047 |
| Eigenvalues | 1.913 | 1.168 | 0.611 | 0.530 |
| Percentage | 32.572 | 19.886 | 10.408 | 9.025 |
| Cumulative percentage | 32.572 | 52.458 | 62.866 | 71.892 |
Abbreviations: Principal components analysis (PCA): PCA is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. Axis: Analysing the characteristic of the main ingredients of core vector in PCA technology.
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