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| Titel |
Use of near-infrared spectroscopy to assess phosphorus fractions of different plant availability in forest soils |
| VerfasserIn |
J. Niederberger, B. Todt, A. Boča, R. Nitschke, M. Köhler, P. Kühn, J. Bauhus |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 12, no. 11 ; Nr. 12, no. 11 (2015-06-05), S.3415-3428 |
| Datensatznummer |
250117969
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| Publikation (Nr.) |
 copernicus.org/bg-12-3415-2015.pdf |
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| Zusammenfassung |
The analysis of soil phosphorus (P) in fractions of different plant
availability is a common approach to characterize the P status of forest
soils. However, quantification of organic and inorganic P fractions in
different extracts is labor intensive and therefore rarely applied for large
sample numbers. Therefore, we examined whether different P fractions can be
predicted using near-infrared spectroscopy (NIRS).
We used the Hedley sequential extraction method (modified by Tiessen and
Moir, 2008) with increasingly strong extractants to determine P in fractions
of different plant availability and measured near-infrared (NIR) spectra for soil samples
from sites of the German forest soil inventory and from a nature reserve in
southeastern China.
The R2 of NIRS calibrations to predict P in individual Hedley fractions
ranged between 0.08 and 0.85. When these fractions were combined into labile,
moderately labile and stable P pools, R2 of calibration models was
between 0.38 and 0.88 (all significant). Model prediction quality was higher
for organic than for inorganic P fractions and increased with the homogeneity
of soil properties in soil sample sets. Useable models were obtained for
samples originating from one soil type in subtropical China, whereas
prediction models for sample sets from a range of soil types in Germany were
only moderately useable or not useable.
Our results indicate that prediction of Hedley P fractions with NIRS can be
a promising approach to replace conventional analysis, if models are
developed for sets of soil samples with similar physical and chemical
properties, e.g., from the same soil type or study site. |
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