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Multilevel Models

3. Results 1. Leaf Litter

Leaf litter chemical variables can be seen in Table1. Generally, N Forest was characterized by higher values of O.M. in the leaf litter while S Forest was richer in Ca. Minor differences between forests included Mg, P, K, and Fe, which were higher in S Forest, while Mn and N had higher concentrations in N Forest. With the exception of Ca, all nutrients showed strong differences according to factor Layer, being generally at higher concentration in Lhf compared to Li. During autumn and spring there were higher values of cellulose and C:N, while all other chemical variables, including lignin, tended to increase during summer in both forests.

The trends for all enzyme activities in leaf litter can be found in Figure2, while results from the MM in leaf litter can be seen in Table2. Plots for the conditional models of the random effects in leaf litter, including prediction intervals, can be seen in Figure3. Conditional determination coefficient for laccase was low (R2c= 0.192), while marginal determination coefficient was higher (R2m= 0.478), showing that there was a noticeable effect of the random parts in the model. Within the fixed parts, only lignin proved to be significant (p< 0.050). Laccase activity was not significantly different between forests, but Lf layer was significantly different from Li in both locations. The random part of the model, expressed by seasonal differences, clearly showed an increase in activity from autumn to summer.

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Table1.Chemicalvariablesinleaflitter.OrganicMatter(O.M.)ismeasuredasg×gdryweight1.Celluloseandligninaremeasuredasmg×gO.M.1.Allmacro andmicroelementsaremeasuredasmg×gdryweight1.Valuesarerepresentedasmean±standarderrorofthemean. SeasonLocationLayerO.M.CelluloseLigninNCaPKMgMnFeC:N Autumn

NForestLi0.95±0.004526±8276±913.21±0.4513.15±0.160.41±0.010.62±0.0010.85±0.010.07±0.0010.10±0.00039.2±1.1 Lf0.94±0.001516±12277±1016.52±0.7113.24±0.290.45±0.0070.63±0.0010.87±0.010.088±0.0040.10±0.00027.96±1.4 Lhf0.91±0.007482±13320±522.28±0.1612.61±0.120.47±0.0040.63±0.0020.91±0.020.101±0.0030.11±0.00022.0±0.3 SForestLi0.89±0.005537±12275±1114.06±0.6616.03±0.130.49±0.0050.63±0.0010.96±0.030.06±0.0020.10±0.00135.0±1.2 Lf0.89±0.008510±7279±1013.07±0.5415.84±0.120.49±0.0050.63±0.0020.94±0.020.059±0.0020.10±0.00037.1±1.4 Lhf0.77±0.017466±10313±1217.69±0.7315.63±0.320.56±0.0080.64±0.0041.04±0.0040.081±0.0030.12±0.00022.4±0.45 Spring

NForestLi0.93±0.008498±11306±818.53±0.3213.02±0.150.44±0.0050.62±0.0010.81±0.0060.074±0.0010.10±0.00028.1±0.36 Lf0.92±0.010505±13312±1121.35±0.6212.53±0.230.45±0.0030.62±0.0010.85±0.010.09±0.0040.10±0.00023.9±0.8 Lhf0.87±0.021492±13300±719.75±0.9412.32±0.230.46±0.0070.63±0.0030.95±0.040.098±0.0050.11±0.00022.3±0.4 SForestLi0.89±0.007503±6292±212.83±0.6515.79±0.320.47±0.0060.62±0.0010.86±0.010.05±0.0030.10±0.00039.4±2.5 Lf0.85±0.012479±18313±915.37±0.6716.27±0.290.51±0.0070.62±0.0010.93±0.030.06±0.0020.11±0.00031.3±1.8 Lhf0.75±0.016450±13338±417.52±0.6116.38±0.390.54±0.0130.63±0.0021.00±0.020.067±0.0030.12±0.00024±0.7 Summer NForestLi0.954±0.002426±23353±2028.87±1.6913.87±0.230.57±0.0110.64±0.0270.92±0.0420.122±0.0070.13±0.03017.6±1.13 Lf0.940±0.003409±20383±3237.32±2.4313.67±0.180.60±0.0230.64±0.0220.99±0.040.150±0.0190.26±0.07013.37±0.69 Lhf0.906±0.015398±15429±3843.59±2.6712.55±0.640.68±0.0170.71±0.0271.14±0.060.0163±0.0150.50±0.15010.72±0.46 SForestLi0.932±0.002426±8341±2528.14±1.4816.33±0.440.67±0.0140.67±0.0050.95±0.0160.086±0.0060.18±0.0317.7±0.9 Lf0.916±0.003379±11338±1331.98±1.1217.74±0.680.75±0.0300.69±0.0151.06±0.0270.111±0.0060.24±0.0415.1±0.49 Lhf0.830±0.020387±11387±2536.69±0.8917.11±0.350.78±0.0140.704±0.0301.28±0.050.128±0.0030.62±0.1512±0.19

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Fixed parts of the model had a weaker effect for peroxidase (R2c= 0.158), with no chemical variable being significant. There was no significant difference between the two forests, and little to no effect of decomposition layer. Like laccase, random parts improved the model (R2m= 0.283) with similar activities in spring and summer and lower values in autumn.

Chitinase showed a low effect of the fixed part of the model (R2c= 0.160). No chemical variable proved to be significant. There was a significant difference between N Forest and S Forest (p< 0.050), with the latter expressing lower activity than N Forest. No particular effect of layer was detected.

Marginal determination coefficient was sensibly higher (R2m= 0.673) with a strong seasonal effect (ICCseason= 0.611). Yet, compared to laccase and peroxidase, the seasonal trend was opposite, with highest activity in autumn and lowest in summer.

As for dehydrogenase, conditional determination coefficient was low (R2c= 0.160) and no chemical variable was significant. The activity was not different between forests, but in N Forest there was a strong difference between layers compared to S Forest. There was a trend to increase activity from autumn to summer, but this effect was relatively low (ICCseason= 0.284).

The activity of cellulase also showed a weak effect of the fixed parts of the model (R2c= 0.149).

Accordingly, no chemical variable proved to be significant in the MM. Yet, differences between locations were sharp (p< 0.001), with N Forest showing higher activity than S Forest. Little effect of layer could be detected, and only in N Forest. The random part of the model increased the overall explained variance (R2m= 0.566), with a clear pattern of increasing activity from summer to autumn.

Figure 2.Boxplot representation of extracellular enzyme activities in leaf litter subdivided by season.

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Table2.ResultsfromtheMManalysisofLeafLitter.Dependentvariablesarereportedincolumns,whilepredictors(bothfixedandrandomparts)arereportedin rows.DependentvariableshavebeentransformedwithBox-CoxtransformationasreportedinMaterialsandMethods.Referencelevelsforthefixedcategorical variableshavebeenchosenasNForestforLocationandLiforLayer,respectively.Statisticalsignificanceisreportedas*(p<0.050),**(p<0.010),***(p<0.001). LaccasePeroxidaseChitinaseDehydrogenaseCellulaseAcidPhosph. Estimate(CI)Estimate(CI)Estimate(CI)Estimate(CI)Estimate(CI)Estimate(CI) FixedParts (Intercept)0.80.470.950.821.930.63 (0.760.84)***(0.400.54)***(0.891.02)***(0.780.86)***(1.722.14)***(0.490.76)*** Lignin0.270.070.160.150.830.86 (0.50−−0.04)*(0.600.46)(0.070.39)(0.070.37)(1.720.06)(0.211.51)* Fe0.030.000.060.030.170.24 (0.030.10)(0.150.15)(0.130.00)(0.030.09)(0.420.07)(0.42−−0.06)* K0.130.470.080.080.500.35 (0.180.43)(1.170.22)(0.220.38)(0.380.21)(0.661.66)(0.501.20) LocationSForest0.020.030.050.020.200.21 (0.010.06)(0.040.10)(0.08−−0.02)*(0.050.01)(0.32−−0.09)***(0.29−−0.12)*** LocationNForest:LayerLf0.040.030.000.050.140.04 (0.07−−0.01)*(0.030.10)(0.030.03)(0.08−−0.02)**(0.25−−0.02)*(0.040.13) LocationSForest:LayerLf0.030.070.010.010.030.01 (0.06−−0.00)*(0.140.00)(0.030.02)(0.040.02)(0.150.08)(0.100.07) LocationNForest:LayerLhf0.030.060.010.060.070.00 (0.060.01)(0.130.02)(0.040.02)(0.09−−0.03)***(0.190.06)(0.080.09) LocationSForest:LayerLhf0.000.090.020.010.010.05 (0.030.03)(0.16−−0.02)*(0.050.01)(0.040.03)(0.130.11)(0.040.14) RandomParts σ20.0020.0110.0020.0020.0310.016 τ00,Season0.0010.0020.0030.0010.0290.011 ICCSeason0.3540.1480.6110.2840.4900.406 R2 c/R2 m0.192/0.4780.158/0.2830.160/0.6730.126/0.3740.149/0.5660.349/0.613

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Figure 3.Plots for the conditional models of the random effects in leaf litter, including prediction intervals. Colors indicate a negative value for the conditional model (red) or a positive value (blue).

BLUP stands for Best Linear Unbiased Predictor.

Finally, acid phosphomonoesterase showed the highest effect of the fixed parts of the model (R2c= 0.349). Both lignin and Fe were significant (p < 0.050), although with opposite signs.

Like cellulase, there was a strong difference between locations (p< 0.001) but no relevant layer effect.

The seasonal trend was similar to chitinase, although weaker (ICCseason= 0.406).

3.2. Soil

The chemical variables for soil can be seen in Table3. The proportion of organic matter, with the exception of topsoil (0–5 cm), was generally higher in S Forest compared to N Forest. S Forest showed a slower decrease of O.M. with depth, whereas in N Forest there was a sharp difference between the topsoil (0–5 cm) and the subsoil (5–40 cm). No particular seasonal effect could be detected in either site. Nitrogen was also different between forests, although there were differences driven by seasons.

Topsoil (0–5 cm) of N Forest had higher N content, whereas S Forest showed greater concentrations in the deeper layers of the soil. In contrast to O.M., a general tendency to increase in N was detected from autumn to summer, especially in N Forest. C:N ratio was different between sites, being generally narrower in S Forest. There was an overall similarity of C:N between layers, whereas a sharp seasonal effect was noticed. Although autumn and spring values were largely overlapping, C:N ratio was noticeably lower in summer in both sites.

Results from the MM analysis of the soil can be seen in Table4, while the trends for enzymes in soil can be seen in Figure4. Plots for the conditional models of the random effects in soil, including prediction intervals, can be seen in Figure5. Laccase showed little effect of the random part of the model given that marginal and conditional determination coefficients were similar (R2c/R2m= 0.488/544). Compared to litter, a large amount of variance was derived from the fixed part of the model. In detail, O.M. was significant (p< 0.050), whereas there were no differences between forests but a significant effect of layer.

Although seasonal effect was not particularly strong, summer was markedly different from both spring and autumn (Figure5).

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Table3.Chemicalvariablesinstudiedsoil.OrganicMatter(O.M.)ismeasuredasg×gdryweight1.Totalnitrogen(N)ismeasuredasmg×gdryweight1. Valuesarerepresentedasmean±standarderrorofthemean. SeasonAutumn LocationNForestSForest Layer0–5cm5–15cm15–30cm30–40cm0–5cm5–15cm15–30cm30–40cm O.M.0.31±0.060.11±0.010.10±0.010.08±0.010.27±0.020.20±0.020.16±0.010.15±0.01 N6.64±1.012.29±0.141.42±0.141.30±0.108.58±0.886.39±0.573.97±0.523.88±0.15 C:N17.05±0.6919.37±1.8621.21±0.4421.94±0.3213.11±0.3612.27±0.1612.82±0.2713.2±0.27 SeasonSpring LocationNForestSForest Layer0–5cm5–15cm15–30cm30–40cm0–5cm5–15cm15–30cm30–40cm O.M.0.42±0.080.10±0.020.09±0.010.08±0.010.32±0.030.21±0.010.16±0.010.18±0.00 N10.14±2.062.44±0.511.53±0.021.35±0.127.81±0.865.25±0.453.8±0.294.14±0.35 C:N14.01±0.6820.82±2.5721.99±0.4220.20±0.3213.20±0.4213.24±0.4212.94±0.1913.15±0.37 SeasonSummer LocationNForestSForest Layer0–5cm5–15cm15–30cm30–40cm0–5cm5–15cm15–30cm30–40cm O.M.0.42±0.10.12±0.020.10±0.010.08±0.010.25±0.020.20±0.010.20±0.010.21±0.01 N21.03±4.215.19±0.954.95±0.694.77±1.117.81±0.865.25±0.453.8±0.294.14±0.35 C:N10.68±0.249.68±0.736.32±1.396.93±1.636.99±0.286.39±0.116.6±0.216.51±0.14

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Table4.ResultsfromtheMManalysisofstudiedsoil.Dependentvariablesarereportedincolumns,whilepredictors(bothfixedandrandomparts)arereportedin rows.DependentvariableshavebeentransformedwithBox-CoxtransformationasreportedinMaterialsandMethods.Referencelevelsforthefixedcategorical variableshavebeenchosenasNForestforLocationand0–5cmforLayer,respectively.Statisticalsignificanceisreportedas*(p<0.050),**(p<0.010),***(p<0.001). LaccasePeroxidaseChitinaseDehydrogenaseCellulaseAcidPhosph. Estimate(CI)Estimate(CI)Estimate(CI)Estimate(CI)Estimate(CI)Estimate(CI) FixedParts (Intercept)0.690.160.950.812.370.62 (0.500.88)***(0.090.23)***(0.920.98)***(0.740.88)***(1.932.81)***(0.560.69)*** OM0.740.190.140.681.070.44 (1.36−−0.12) *(0.410.03)(0.19−−0.09)**(0.430.94)***(1.63−−0.51)*(0.280.61)*** LocationSForest0.010.180.000.090.430.04 (0.170.18)(0.110.24)***(0.010.02)(0.010.16)*(0.59−−0.27)**(0.080.01) LocationNForest:Layer515cm0.070.020.000.010.160.08 (0.300.17)(0.110.06)(0.020.02)(0.110.09)(0.050.37)(0.15−−0.02)* LocationSForest:Layer5–15cm0.230.010.010.10.150.02 (0.060.40)*(0.050.08)(0.000.03)(0.17−−0.03)**(0.010.30)(0.030.06) LocationNForest:Layer15–30cm0.230.130.000.050.230.06 (0.020.47)(0.040.22)**(0.020.02)(0.150.05)(0.010.44)(0.120.01) LocationSForest:Layer15–30cm0.450.070.030.170.30.03 (0.270.63)***(0.010.14)*(0.020.05)**(0.25−−0.10)***(0.140.46)*(0.010.08) LocationNForest:Layer30–40cm0.410.210.010.180.430.1 (0.160.66)**(0.120.30)***(0.010.03)(0.29−−0.08)***(0.210.66)*(0.17−−0.04)** LocationSForest:Layer30–40cm0.460.060.030.280.380.03 (0.280.64)***(0.000.13)(0.020.05)**(0.35−−0.20)***(0.210.54)**(0.020.08) RandomParts σ20.0580.0070.0000.0100.0460.004 τ00,Season0.0070.0010.0010.0000.1330.002 ICCSeason0.1090.1350.5610.0000.7420.280 R2 c/R2 m0.488/0.5440.569/0.6270.359/0.7180.678/0.6780.397/0.8440.515/0.651

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Figure 4.Boxplot representation of extracellular enzyme activities in studied soil subdivided by season.

Fixed parts of the model in peroxidase explained higher amount of variance compared to laccase (R2c= 0.569), but O.M. was not significant. In contrast to laccase, locations had highly significant differences for peroxidase (p< 0.001), with higher activity in N Forest. Differences between layers were sharper in N Forest compared to S Forest. Although the random part moderately contributed to variance (R2m= 0.627), a weak trend of decreasing activity in autumn was detected when compared to spring and summer.

In contrast with previous enzymes, chitinase had a large difference in conditional and marginal determination coefficients. The proportion of O.M. was highly significant (p< 0.010), although fixed parts of the model explained not much variance (R2c= 0.359). There was no difference between forests and little differences between layers, except for the deeper part of the soil in S Forest. The random part of the model expressed a large amount of variance (R2m= 0.718) with a clear seasonal effect (ICCseason= 0.561) with sharp differences in autumn compared to spring and summer.

Dehydrogenase had identical determination coefficients (R2c/m= 0.678), meaning that there was no random effect at all. The proportion of O.M. was highly significant (p< 0.001). There was a weak, although significant, difference between forests (p< 0.050), with higher activity in S Forest, where also significant differences between layers were found to be more conspicuous than N Forest. As already mentioned, there was no detectable seasonal effect for this enzyme.

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Figure 5.Plots for the conditional models of the random effects in studied soil, including prediction intervals. Colors indicate a negative value for the conditional model (red) or a positive value (blue).

BLUP stands for Best Linear Unbiased Predictor.

Like chitinase, a large difference in conditional and marginal determination coefficients was found in cellulase. Fixed parts of the model explained half of the variance (R2c= 0.397) when compared to random effects (R2m= 0.844). Again, O.M. proved to be significant (p< 0.050) and there was a large difference between forests (p< 0.010), with greater activity in S Forest. The deeper layers of the soil, especially in S Forest, showed significant differences. The seasonal effect was broad (ICCseason= 0.742) with a complex pattern. Although autumn was relatively more similar to summer, the latter season and spring showed sharp differences.

Finally, acid phosphomonoesterase, like laccase and peroxidase, exhibited small differences between fixed and random parts of the model. The proportion of O.M. was highly significant (p< 0.001), but no difference was detected between locations. Layers had little effect, being the activity significantly different only in the deepest layer of N Forest. A weak trend of increasing activity from autumn to summer was detected, although seasonal effect was small (ICCseason= 0.280).

4. Discussion