4.7 Article

Nitrogen and phosphorus addition differentially affect plant ecological stoichiometry in desert grassland

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SCIENTIFIC REPORTS
卷 9, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-019-55275-8

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  1. National Postdoctoral Program for Innovative Talents [BX201700279]
  2. Shandong Provincial Natural Science Foundation [ZR2017MC029]
  3. National Natural Science Foundation of China [41807335]
  4. West Light Project of the Chinese Academy of Sciences [2015-XBQN-B-21]

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Plant C:N:P stoichiometric relations drive powerful constraints on ecological interactions and processes. However, information about plant stoichiometric responses to N and P availability in desert grassland is limited. We conducted two field experiments with 7 levels of N (from 0.5 g to 24g N . m(-2) yr(-1)) and P (from 0.05 g to 3.2 g P . m(-2) yr(-1)) additions in a desert grassland of Kunlun Mountain in the northwest of China to investigate the effects of these addition rates on the N and P stoichiometry of the dominant grass species Seriphidium korovinii. Nitrogen and P additions both affected plant stoichiometry. N addition suppressed P concentrations, whereas P addition had no effect on plant N concentrations. The N:P ratios of green aboveground biomass (AGB) were positively correlated with N addition ranging from 14.73 to 29.08, whereas those for P additions decreased ranging from 14.73 to 8.29. N concentrations were positively correlated with soil available N:P ratios, whereas, P concentrations were negatively correlated with soil availably N:P. Our results suggest that chemistry and stoichiometry of S. korovinii was directly affected by soil nutrient availability. Soil N availability affects S. korovinii stoichiometry to a greater extent that does soil P availability in this ecosystem. These findings suggest that N-deposition could affect the stoichiometry of this desert grassland ecosystem, and thereby potentially alter litter decomposition, plant community composition, nutrient cycling, and food-web dynamics of these desert ecosystems.

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