Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition
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 signifi...
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ftunivwagenin:oai:library.wur.nl:wurpubs/431907 2024-02-04T09:57:53+01:00 Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition Bartholomeus, H. Schaepman-Strub, G. Blok, D. Sofronov, R. Udaltsov, S. 2012 application/pdf https://research.wur.nl/en/publications/spectral-estimation-of-soil-properties-in-siberian-tundra-soils-a https://doi.org/10.1155/2012/241535 en eng https://edepot.wur.nl/242340 https://research.wur.nl/en/publications/spectral-estimation-of-soil-properties-in-siberian-tundra-soils-a doi:10.1155/2012/241535 info:eu-repo/semantics/openAccess Wageningen University & Research Applied and Environmental Soil Science 2012 (2012) ISSN: 1687-7667 Life Science info:eu-repo/semantics/article Article/Letter to editor info:eu-repo/semantics/publishedVersion 2012 ftunivwagenin https://doi.org/10.1155/2012/241535 2024-01-10T23:21:31Z 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. Article in Journal/Newspaper Arctic Global warming permafrost Tundra Siberia Wageningen UR (University & Research Centre): Digital Library Arctic Applied and Environmental Soil Science 2012 1 13 |
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Open Polar |
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Wageningen UR (University & Research Centre): Digital Library |
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ftunivwagenin |
language |
English |
topic |
Life Science |
spellingShingle |
Life Science Bartholomeus, H. Schaepman-Strub, G. Blok, D. Sofronov, R. Udaltsov, S. Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition |
topic_facet |
Life Science |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Bartholomeus, H. Schaepman-Strub, G. Blok, D. Sofronov, R. Udaltsov, S. |
author_facet |
Bartholomeus, H. Schaepman-Strub, G. Blok, D. Sofronov, R. Udaltsov, S. |
author_sort |
Bartholomeus, H. |
title |
Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition |
title_short |
Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition |
title_full |
Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition |
title_fullStr |
Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition |
title_full_unstemmed |
Spectral estimation of soil properties in Siberian tundra soils and relations with plant species composition |
title_sort |
spectral estimation of soil properties in siberian tundra soils and relations with plant species composition |
publishDate |
2012 |
url |
https://research.wur.nl/en/publications/spectral-estimation-of-soil-properties-in-siberian-tundra-soils-a https://doi.org/10.1155/2012/241535 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Global warming permafrost Tundra Siberia |
genre_facet |
Arctic Global warming permafrost Tundra Siberia |
op_source |
Applied and Environmental Soil Science 2012 (2012) ISSN: 1687-7667 |
op_relation |
https://edepot.wur.nl/242340 https://research.wur.nl/en/publications/spectral-estimation-of-soil-properties-in-siberian-tundra-soils-a doi:10.1155/2012/241535 |
op_rights |
info:eu-repo/semantics/openAccess Wageningen University & Research |
op_doi |
https://doi.org/10.1155/2012/241535 |
container_title |
Applied and Environmental Soil Science |
container_volume |
2012 |
container_start_page |
1 |
op_container_end_page |
13 |
_version_ |
1789962212494802944 |