2016
DOI: 10.1007/s11104-016-3111-y
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Effects of xeric shrubs on soil microbial communities in a desert in northern China

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Cited by 42 publications
(37 citation statements)
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“…While the contribution of understory vegetation to ecosystem carbon and nitrogen stocks was very small (< 2%), as shown in Table 10, there were significant differences in understory vegetation carbon and nitrogen stocks among the three types of larch forest ecosystems. Different understory vegetation with different carbon and nitrogen stocks can alter the soil microbes [41], soil properties and structure [42] and soil temperature and water content [43], which may ultimately have a great influence on soil carbon and nitrogen [23]. This result is in agreement with previous studies [23,34].…”
Section: Vegetation Layersupporting
confidence: 91%
“…While the contribution of understory vegetation to ecosystem carbon and nitrogen stocks was very small (< 2%), as shown in Table 10, there were significant differences in understory vegetation carbon and nitrogen stocks among the three types of larch forest ecosystems. Different understory vegetation with different carbon and nitrogen stocks can alter the soil microbes [41], soil properties and structure [42] and soil temperature and water content [43], which may ultimately have a great influence on soil carbon and nitrogen [23]. This result is in agreement with previous studies [23,34].…”
Section: Vegetation Layersupporting
confidence: 91%
“…The dominant shrub species in this region is Artemisia ordosica , although sparse shrubs ( Hedysarum mongolicum, Salix psammophila , and Caragana korshinskii ) and the grass Agropyron cristatum are also indigenous to the region ( She et al, 2015 ). The study was conducted in a fenced area, in which grazing has been prohibited since the late 1990s and vegetation was allowed to recover for over a decade ( Sun et al, 2016 ).…”
Section: Methodsmentioning
confidence: 99%
“…Paired-end sequencing was implemented with Illumina MiSeq sequencing. The details of DNA extraction, quantification, amplicon and raw data processing are described by Sun et al (2016). To unify the survey, a subsample of 17,026 randomly selected sequences from each sample was used to estimate the bacterial community.…”
Section: Soil Dna Extraction 16s Rrna Gene Amplification and Sequementioning
confidence: 99%