ZengXiangDengEtAl2014

Référence

Zeng, Y., Xiang, W., Deng, X., Fang, X., Liu, C., Peng, C. (2014) Soil N forms and gross transformation rates in Chinese subtropical forests dominated by different tree species. Plant and Soil, 384(1-2):231-242. (Scopus )

Résumé

Background and aims: Knowledge related to extent of differing soil N forms and N transformation rates in subtropical southern China is severely limited. Accordingly, the purpose of this study was to investigate if and how tree species of different foliage types (coniferous, deciduous, and evergreen broadleaved) influence N forms and microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN) content as well as gross N transformation rates in the organic and mineral soils of three distinct subtropical forests in China. Methods: Chloroform fumigation extraction was used to determine MBC and MBN content while 15N-isotope dilution techniques were used to measure gross N transformation rates. Canonical correspondence analysis (CCA) was used to quantify relationships between soil chemical characteristics and changes in soil N transformation rates. Results: Soil N forms, MBC and MBN content, and N transformation rates were found to be significantly different between tree species. Deciduous forest soil exhibited the highest N transformation rates. Soil N transformation rates were closely associated with total soil C and N and MBC and MBN content. Conclusions: Soil substrate quantity and soil microbial activity play a more important role in soil N transformation processes than does soil quality in China’s subtropical forests. Tree species type should therefore be taken into account when trying to determine ecosystem N cycling.

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@ARTICLE { ZengXiangDengEtAl2014,
    AUTHOR = { Zeng, Y. and Xiang, W. and Deng, X. and Fang, X. and Liu, C. and Peng, C. },
    TITLE = { Soil N forms and gross transformation rates in Chinese subtropical forests dominated by different tree species },
    JOURNAL = { Plant and Soil },
    YEAR = { 2014 },
    VOLUME = { 384 },
    PAGES = { 231-242 },
    NUMBER = { 1-2 },
    NOTE = { cited By 0 },
    ABSTRACT = { Background and aims: Knowledge related to extent of differing soil N forms and N transformation rates in subtropical southern China is severely limited. Accordingly, the purpose of this study was to investigate if and how tree species of different foliage types (coniferous, deciduous, and evergreen broadleaved) influence N forms and microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN) content as well as gross N transformation rates in the organic and mineral soils of three distinct subtropical forests in China. Methods: Chloroform fumigation extraction was used to determine MBC and MBN content while 15N-isotope dilution techniques were used to measure gross N transformation rates. Canonical correspondence analysis (CCA) was used to quantify relationships between soil chemical characteristics and changes in soil N transformation rates. Results: Soil N forms, MBC and MBN content, and N transformation rates were found to be significantly different between tree species. Deciduous forest soil exhibited the highest N transformation rates. Soil N transformation rates were closely associated with total soil C and N and MBC and MBN content. Conclusions: Soil substrate quantity and soil microbial activity play a more important role in soil N transformation processes than does soil quality in China’s subtropical forests. Tree species type should therefore be taken into account when trying to determine ecosystem N cycling. },
    AUTHOR_KEYWORDS = { 15N isotope pool dilution; China subtropical forests; Microbial biomass; N transformation rate; Soil N forms; Tree species },
    CODEN = { PLSOA },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1007/s11104-014-2206-6 },
    ISSN = { 0032079X },
    KEYWORDS = { biomass; biotransformation; mineral; plant community; soil microorganism; soil nitrogen; subtropical region, China },
    SOURCE = { Scopus },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84910131899&partnerID=40&md5=8a5e45ff4b946e70e88529dfcb6d733a },
}

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