Composition and variation of soil δ15N stable isotope in natural ecosystems

A - Papers appearing in refereed journals

Shan, Y., Huang, M., Suo, L., Zhao, X. and Wu, L. 2019. Composition and variation of soil δ15N stable isotope in natural ecosystems. Catena. 183, p. 104236.

AuthorsShan, Y., Huang, M., Suo, L., Zhao, X. and Wu, L.
Abstract

The natural abundance of δ15N in soils is a simple tool for understanding ecosystem nitrogen cycling. However, the main drivers for soil δ15N in different natural land use types are not clear enough. To investigate the main drivers for soil δ15N in different land uses, we measured δ15N in the top 10 cm of the soil along a precipitation gradient with various land uses on the Loess Plateau of China, which covers a total area of 620,000 km2 and is one of the most erodible area in the world, to determine effects of climatic, soil and vegetation factors on soil δ15N and the relationships between them using the partial least squares regression (PLSR) method. Soil δ15N ranged from 1‰ to 9‰ on the Loess Plateau with an average of 5.8‰ in forest lands, 5.6‰ in shrub lands, and 4.8‰ in grasslands. Calculated variable influence on projection by PLSR showed that both soil properties (including soil organic carbon content, total nitrogen content and soil texture) and mean annual precipitation influenced soil δ15N strongly. In addition, site elevation also influenced soil δ15N strongly in forest lands. The dominant controls of soil δ15N varied among three land use types on the Chinese Loess Plateau, and PLSR would be a reasonable tool to predict soil δ15N.

KeywordsSoil properties; Partial least squares regression; Land use; Regional scale
Year of Publication2019
JournalCatena
Journal citation183, p. 104236
Digital Object Identifier (DOI)doi:10.1016/j.catena.2019.104236
Open accessPublished as non-open access
FunderNatural Environment Research Council
National Natural Science Foundation of China
Funder project or codeModelling and managing critical zone relationships between soil, water and ecosystem processes across the Loess Plateau
41571130082
Output statusPublished
Publication dates
Online27 Sep 2019
Publication process dates
Accepted20 Aug 2019
PublisherElsevier Science Bv
ISSN0341-8162

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