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The stress of sampled populations was similar between study areas, with a seasonal decline in stress hormones found between dry and wet season data collection periods.
Although some differences emerged across study areas with some non-statistically significant associations in either direction, no significant heterogeneity was found between study areas with respect to HPV infection and education level.
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Ranks of further variables varied between the study areas, with higher standard deviations in PNCV and PETR.
Our results showed some differences between study areas.
Time of assessment varied between study areas.
These results are significantly different between study areas (P < 0.001).
This effect of resampling will vary between study areas.
Importantly, these factors may differ between homes within a study area and between study areas in different climates.
Our results show that the spatially allocated carbon values differ between the three study areas with highest values in PESA, followed by PETR and PNCV.
Random Forest model performances varied between the three study areas with RMSE values of 1.64 t/ha (mean relative RMSE 30%), 2.35 t/ha (46%) and 2.18 t/ha (45%).
Carbon model performances differed between the three study areas with averaged R2 values of 0.69 for PESA, 0.43 for PETR and 0.36 for PNCV and a similar trend in RMSE values of 1.65 t/ha (relative RMSE 0.30) in PESA, 2.18 t/ha (relative RMSE 0.45) in PETR and 2.35 t/ha (relative RMSE 0.46) in PNCV (Table 2).
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