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Effect tests show a significant effect of treatment (P < 0.0001) and surface (P < 0.0001) and a significant interaction between sampling point and treatment (P < 0.0001) and between sampling point and surface (P < 0.0001).
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However, even though the hydrolysis rate is expected to be slow, there is still evidence that hydrolysis is occurring: there is an increase in labile extractable ortho-P between sampling points and there is a reduction in adsorbed P of the up-gradient soil after the second soil core sampling.
A second required input was the effective size (N e ) of the sampled population, which we estimated for each location based on the temporal variance in allele frequencies between sampling points, and which appeared high at all locations (lower 95% confidence limit consistently ≥450, see Data S1).
Overall significance levels for each covariate were calculated using Type III tests of the fixed effects of the interaction between sampling point (source or HSW) and the covariate of interest.
Undiluted samples were obtained by removing at least four times the flush-volume in the line between the sampling point and the arterial puncture site before the actual sample was taken or, when an arterial catheter was not available, in capillary blood with the use of a point-of-care glucometre (MediSense Optium, Abbot Laboratories MediSense Products Bedford, MA, USA).
For about 100 m downstream of the seep issue point, between sampling points LL1 and LL10, the entire waterway is clogged with flocculent, biogenic Fe3+ hydroxide whose dry weight arsenic concentrations approximately double that of LCMS mill tailings (compare values in Table 2).
We assessed the extent of fecal contamination at the source and in household stored water (HSW) and explored the relationship between contamination at each sampling point and water supply type.
The percentage particle loss by number and mass between sample point α and sample point β was relatively consistent; 30% number and 40% by mass lost (relative).
We compare the three methods in terms of the adaptability of the downhole instrument to different pore sizes and distributions of strata, the relationship between number of sampling points and the inversion error, and the vertical resolution to different lithology of strata.
Sampling sites were selected based on criteria of the distance between sampling points, difference of water temperature, and the basis of factors such as: ease of access, variety of habitats, proximity to a local point source of pollution, e.g., a factory, a drainage canal or Proximity to a non point source of pollution, e.g., a farm (UN HABITAT 2005).
aG = assumed number of generations between sampling points; bCalculated using the Jorde and Ryman method [ 40]; cCalculated using the classical moment-based method of Waples [ 41].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com