Measurement and prediction of nitrogen loss by simulated erosion events on cultivated forest soils of contrasting structure

Article

Teixeira, P. C. and Misra, R. K.. 2005. "Measurement and prediction of nitrogen loss by simulated erosion events on cultivated forest soils of contrasting structure." Soil and Tillage Research. 83 (2), pp. 204-217. https://doi.org/10.1016/j.still.2004.07.014
Article Title

Measurement and prediction of nitrogen loss by simulated erosion events on cultivated forest soils of contrasting structure

ERA Journal ID5270
Article CategoryArticle
AuthorsTeixeira, P. C. (Author) and Misra, R. K. (Author)
Journal TitleSoil and Tillage Research
Journal Citation83 (2), pp. 204-217
Number of Pages14
Year2005
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN0167-1987
0933-3630
Digital Object Identifier (DOI)https://doi.org/10.1016/j.still.2004.07.014
Web Address (URL)http://www.sciencedirect.com/science/journal/01671987
Abstract

The objectives of this study were to determine nitrogen (N) loss associated with erosion of forest soils and to explore the role of soil structure and other factors governing N enrichment of sediment to aid prediction of N loss. We measured erosion, size distribution of aggregates in the
sediment and N distribution in various aggregate fractions using simulated rainfall on samples of three cultivated forest soils of contrasting structure (repacked in trays) exposed to four erosion conditions. Both sediment loss and N loss increased with slope and kinetic energy of rainfall
suggesting greater dependency of N loss on sediment loss than on N concentration in the sediment.
Irrespective of erosion treatments and soil type, the bulk sediment and its size fractions were mostly richer in N than those of the uneroded soils. The enrichment ratio (ER) and concentration ratio (CR) of N for sediment cast some doubt on the application of raindrop stripping as a
mechanism of N enrichment of sediment for soils of widely differing characteristics. Previously published models of N enrichment of sediment did not predict ER for our soils satisfactorily.
However, an empirical model using published data on erosion and N loss agreed well with the results. This predictive method only requires information on sediment loss that can be easily obtained from an erosion model.

Keywordsenrichment ratio; erosion; forest soils; nitrogen loss; soil structure
ANZSRC Field of Research 2020370302. Inorganic geochemistry
410604. Soil chemistry and soil carbon sequestration (excl. carbon sequestration science)
300701. Agroforestry
Public Notes

Copyright 2005 Elsevier: Reproduced in accordance with the copyright policy of the publisher.This is the author-version of the work. It is posted here for your personal use. Use the hypertext links above to access the journal's website.

Byline AffiliationsUniversity of Tasmania
Department of Agricultural, Civil and Environmental Engineering
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