Data from: Disentangling the impact of forest management intensity components on soil biological processes
Data files
Jan 29, 2025 version files 356.30 KB
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mastertab_Inonat_calculation.xlsx
176.75 KB
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mastertab_Inonat_metadata.xlsx
10.19 KB
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mastertab_ph_gradient_metadata.xlsx
10.15 KB
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mastertab_pH_gradient.xlsx
32.31 KB
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mastertab_soil_formi_metadata.xlsx
15.67 KB
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mastertab_soil_formi.xlsx
109.87 KB
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README.md
1.36 KB
Abstract
Temperate forests cover 25 % of the world's forest area and most of them are managed for timber production. To increase yields native deciduous trees have been commonly replaced by fast-growing conifers, especially in Western and Central Europe. Despite the importance of forest soils for a variety of ecosystem functions, the effects of forest management intensity on soil biological processes have not yet been sufficiently understood. Using a standardized sampling protocol that is covering 200 plots across 4 regions with different abiotic site conditions, our study aims at disentangling the effects of individual components of forest management intensity such as i) share of native deciduous trees ii) timber harvesting volume and iii) natural deadwood volume on soil biological processes. Our findings indicate that the effects of management practices on soil biological processes are as important as abiotic factors, such as subsoil pH value and soil texture. Piecewise structural equation modelling revealed that forest management has both direct and indirect effects on soil biological processes via humus form and topsoil pH. Generally, the ratio of deciduous and coniferous trees had the most significant effect on nutrient cycling and soil properties, followed by nutrient extraction through timber harvesting and natural deadwood volume. The strength of the observed effects was modified by regional variation in climate, topography and bedrock. Our findings underline the high diagnostic value of humus form as an indicator of biological processes in mineral topsoil (particularly pH, C/N and microbial characteristics can be predicted) that can guide forest managers in evaluating soil quality and identifying management impacts.
README: Data from: Disentangling the impact of forest management intensity components on soil biological processes
https://doi.org/10.5061/dryad.bnzs7h4mr
Description of the data and file structure
We analyzed the effects of forest management components on nutrient cycling and soil biological processes in temperate forests. To this end, we have examined the topsoil of 200 plots across four regions with different abiotic site conditions.
Files and variables
The dataset consists of the metadata of the 200 plots and the soil properties of the soil samples from 0-5 cm mineral soil depth measured in the laboratory. All variables occurring in the data set 'mastertab_soil_formi.xlsx' are explained in the table ‘mastertab_soil_formi_metadata.xlsx’ and listed with units and scale.
The 'mastertab_ph_gradient.xlsx' dataset contains the pH values of all sampled soil horizons for all 200 plots. All variables occurring in this dataset are explained in the table 'mastertab_ph_gradient_metadata.xlsx' and also listed with units and scale.
The 'mastertab_Inonat_calculation.xlsx' contains the species identity and information whether they are native or non-native species for each tree in each plot. All variables occurring in this dataset are explained in the table 'mastertab_Inonat_metadata.xlsx'.
Methods
The data was collected as part of the BiCO2 project, a large-scale study of biodiversity and carbon storage along a forestry intensity gradient at four different forest sites in North Rhine-Westphalia, Germany. This partial dataset was used to investigate the effects of forest management components on nutrient cycling and soil biological properties for the manuscript ‘Disentangling the impact of forest management intensity components on soil biological processes’ by Klein-Raufhake et al 2024.