Defining the relationship between bulk density and organic carbon content in forest soils using generalised linear mixed-effect models.

ABSTRACT:

Background

In this study, we used a generalised linear mixed-effects model (GLMER) to establish a predictive pedotransfer function defining the relationship between forest soil bulk density and total organic carbon. More than 950 soil samples were obtained from four forested areas with a wide range of bedrock (limestone, loess, crystalline volcanic, sandstone, alluvial loam, polygenic loam and transported materials rich in organic carbon) and soil types (Leptosols, Cambisols, Fluvisols, Podzols and Technosols). Model validation was performed by testing against 10% of the data randomly selected from the original dataset (10% dataset) and an independent dataset from the Czech national forest inventory (NFI2 dataset).

Result

The GLMER including sample origin locality as random

SUBMITTER: Kucera A 

PROVIDER: S-EPMC12486959 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature