Header

UZH-Logo

Maintenance Infos

Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition


Bartholomeus, Harm; Schaepman-Strub, Gabriela; Blok, Daan; Sofronov, Roman; Udaltsov, Sergey (2012). Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition. Applied and Environmental Soil Science, 2012:241535.

Abstract

Predicted global warming will be most pronounced in the Arctic and will severely affect permafrost environments. Due to its large spatial extent and large stocks of soil organic carbon, changes to organic matter decomposition rates and associated carbon fluxes in Arctic permafrost soils will significantly impact the global carbon cycle. We explore the potential of soil spectroscopy to estimate soil carbon properties and investigate the relation between soil properties and vegetation composition. Soil samples are collected in Siberia, and vegetation descriptions are made at each sample point. First, laboratory-determined soil properties are related to the spectral reflectance of wet and dried samples using partial least squares regression (PLSR) and stepwise multiple linear regression (SMLR). SMLR, using selected wavelengths related with C and N, yields high calibration accuracies for C and N. PLSR yields a good prediction model for K and a moderate model for pH. Using these models, soil properties are determined for a larger number of samples, and soil properties are related to plant species composition. This analysis shows that variation of soil properties is large within vegetation classes, but vegetation composition can be used for qualitative estimation of soil properties.

Abstract

Predicted global warming will be most pronounced in the Arctic and will severely affect permafrost environments. Due to its large spatial extent and large stocks of soil organic carbon, changes to organic matter decomposition rates and associated carbon fluxes in Arctic permafrost soils will significantly impact the global carbon cycle. We explore the potential of soil spectroscopy to estimate soil carbon properties and investigate the relation between soil properties and vegetation composition. Soil samples are collected in Siberia, and vegetation descriptions are made at each sample point. First, laboratory-determined soil properties are related to the spectral reflectance of wet and dried samples using partial least squares regression (PLSR) and stepwise multiple linear regression (SMLR). SMLR, using selected wavelengths related with C and N, yields high calibration accuracies for C and N. PLSR yields a good prediction model for K and a moderate model for pH. Using these models, soil properties are determined for a larger number of samples, and soil properties are related to plant species composition. This analysis shows that variation of soil properties is large within vegetation classes, but vegetation composition can be used for qualitative estimation of soil properties.

Statistics

Citations

Altmetrics

Downloads

104 downloads since deposited on 20 Nov 2012
28 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Uncontrolled Keywords:soil properties, plant species composition
Language:English
Date:2012
Deposited On:20 Nov 2012 12:38
Last Modified:21 Nov 2017 16:13
Publisher:Hindawi Publishing Corporation
Series Name:Applied and Environmental Soil Science
ISSN:1687-7667
Publisher DOI:https://doi.org/10.1155/2012/241535

Download

Download PDF  'Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition'.
Preview
Content: Published Version
Filetype: PDF
Size: 1MB
View at publisher