Skip to main content

Table 1 Parameters estimations (Est) for the hurdle models for the three groups of fungi. αi are the parameters of the part of the hurdle model that predicts the probability of occurrence of mushroom production, βi are the parameters of the part of the hurdle model that predicts yield conditional on the probability of mushroom occurrence, vi are variance of year random effect in each part of the hurdle model, Cat1 is a dummy variable set to one for CAT1 group of plots and zero for the rest of the groups, Cat2 is a dummy variable set to one for CAT2 group of plots and zero for the rest of the groups, Cat3 is a dummy variable set to one for CAT3 group of plots and zero for the rest of the groups, CyL1 is a dummy variable set to one for CyL1 group of plots and zero for the rest of the groups, CyL2 is a dummy variable set to one for CyL2 group of plots and zero for the rest of the groups, G is stand basal area (m2·ha− 1), Pag is the accumulated precipitation of August, Pset is the accumulated precipitation of September, Poct is the accumulated precipitation of October, Pnov is the accumulated precipitation of November, Tnov is the mean temperature of November, the term “ln” refers to the natural logarithm. LowB and UpB are the lower and upper bounds of the bootstrapped 95% confidence intervals

From: Yield models for predicting aboveground ectomycorrhizal fungal productivity in Pinus sylvestris and Pinus pinaster stands of northern Spain

All ectomycorrhizal modelEdible modelMarketed model
  EstpLowBUpB  EstpLowBUpB  EstpLowBUpB
Cat1α0−10.420.01−30,58−10,08Cat1α0−5,840,00−10,26−4,28Cat1α0−2,220,00−3,01−1,68
Cat2α1−5.950−14,00−4,29Cat2α1−3,910,00−11,25−2,99Cat2α1−1,940,00−2,79−1,33
Cat3α2−6.850−21,37−5,47Cat3α2−2,470,00−3,40−2,01Cat3α2−0,860,01−1,27− 0,54
CyL1α3−4.960−9,25−4,20CyL1α3−2,940,00−3,91− 2,60CyL1α3−0,920,00−1,26−0,68
CyL2α4−5.880−11,68−4,46CyL2α4−2,900,00−3,88−2,55CyL2α4−0,540,04− 0,86− 0,28
ln (Tnov)α90.990.040,342,44yearvar(v1)3,090,052,306,51yearvar(v1)1,370,011,152,40
yearvar(v1)3.090.092,6816,96            
Cat1β02.6000,823,95Cat1β03,100,001,214,46Cat1β03,010,001,554,35
Cat2β12.6300,814,01Cat2β13,100,001,134,53Cat2β13,750,002,225,09
Cat3β22.260.010,453,65Cat3β22,950,001,144,32Cat3β22,910,001,414,26
CyL1β33.2301,464,57CyL1β33,640,001,895,02CyL1β33,950,002,555,19
CyL2β42.9101,234,13CyL2β42,700,001,023,99CyL2β42,620,001,233,87
ln(G/10)β60.970.020,081,57ln(G/10)β61,150,010,421,69ln(G/10)β61,420,040,142,61
\( \sqrt{G/10} \)β7−1.210.01−1,88−0,22\( \sqrt{G/10} \)β7−1,230,01−1,85−0,40\( \sqrt{G/10} \)β7−1,660,04−2,96−0,22
ln (Pag)β90.1800,070,31ln (Pag)β90,140,040,020,29ln (Pset)β80,450,000,260,64
ln (Pset)β100.2200,040,41ln (Pset)β100,240,010,060,40yearvar(v2)0,360,020,260,65
ln (Poct)β110.4300,290,61ln (Poct)β110,230,010,080,42      
ln (Pnov)β12−0.250−0,43−0,07ln (Pnov)β12−0,270,00−0,45− 0,08      
ln (Tnov)β130.3600,190,53ln (Tnov)β130,300,010,140,45      
yearvar(v2)0.600.010,490,94yearvar(v2)0,600,010,480,98