Skip to main content
. 2019 Jan 21;9(3):1135–1146. doi: 10.1002/ece3.4802

Table 1.

The eDNA decay curve model results for the tank experiments estimated by the nls function in R

Model C 0 b c a AIC ΔAIC
C ( t ) = C 0*exp(b*t) 0.9590*** −0.1876*** graphic file with name ECE3-9-1135-g005.jpg graphic file with name ECE3-9-1135-g006.jpg 70.5144 127.4962
C ( t ) = C 0*exp{(b*T + a)*t} 0.9737*** −0.0176*** graphic file with name ECE3-9-1135-g007.jpg 0.1415*** 6.1045 63.0863
C ( t ) = C 0*exp{(c*D + a)*t} 0.9455*** graphic file with name ECE3-9-1135-g008.jpg −0.1004*** −0.0260 48.9897 105.9715
C(t) = C0*exp{(b*T + c*D + a)*t} 1.0029*** −0.0173*** −0.1027*** 0.2732*** −56.9818 0.0000

The AIC values (bold) were used to identify the most supported model for the eDNA decay curves. Asterisks show the significant effects (p < 0.001) of each parameter. The best model included both water temperature (T) and fish density (D, log‐transformed) as explanatory variables, which indicated that both water temperature and fish density influence eDNA degradation