Table 4.
Summary of ANOVA results from a multiple linear regression model assessing the effect of biophysical and environmental variables on soil organic carbon (SOC) stocks in seagrass meadows of Lamu. Significant predictors (p < 0.05) are shown in bold. Soil type, disturbance level, percentage cover, and water temperature were significant drivers of SOC variability.
| Parameters | Df | Sum Sq | Mean Sq | F value | p |
|---|---|---|---|---|---|
| Soil Type | 2 | 26,127 | 13,064 | 93.166 | 3.60E-15 |
| Disturbance | 1 | 1002.44 | 1002.44 | 7.149 | 0.011 |
| Meadow Type | 1 | 14 | 14 | 0.097 | 0.75677 |
| Total Density | 1 | 27 | 27 | 0.196 | 0.66078 |
| Percentage Cover | 1 | 1428 | 1428 | 10.181 | 0.00289 |
| Water Depth | 1 | 17 | 17 | 0.118 | 0.73267 |
| Water Temperature | 1 | 1336 | 1336 | 9.527 | 0.00382 |
| Residuals | 37 | 5188 | 140 |