4.4 Article

Soil and plant nitrogen pools as related to plant diversity in an experimental grassland

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SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
卷 71, 期 3, 页码 720-729

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SOIL SCI SOC AMER
DOI: 10.2136/sssaj2006.0205

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Increasing plant species richness decreases soil NO(3)(-) concentrations in experimental plant mixtures, but the role of particular plant functional groups has remained unclear. Most analyses have focused on particular times of the year or were restricted to NO(3)(-). We tested whether plant species richness or particular plant functional groups affect the size of plant-available N pools in soil (KCl-extractable N03, dissolved inorganic N and organic N [DON] and total dissolved N [TDN] in soil solution) and N concentrations and pools in aboveground biomass. Furthermore, we assessed seasonal variations in the effects of plant species richness and plant functional groups. The experimental grassland site had 86 plots with different combinations of numbers of species (1, 2, 4, 8, 16, and 60) and numbers of functional groups (1, 2, 3, and 4, being grasses, small nonlegume herbs, tall nonlegume herbs, and legumes). In the second year after establishment, increasing species richness reduced soil N03 concentrations (ANOVA, 11% of sum of squares [SS]). The presence of legumes correlated positively with soil N03 concentrations (17% of SS). The presence of grasses significantly decreased soil N03 concentrations (11% of SS). Seasonality had no influence on the relationships between N03 concentrations and species richness. Volume-weighted mean DON and TDN concentrations in soil solution correlated negatively with species richness. Nitrogen pools in plant mixture biomass correlated positively with species diversity (14% of SS), indicating that total N uptake increased with increasing diversity. We conclude that both diversity (either in species or functional groups) and functional composition of grassland mixtures are significant controls of soil and plant N pools. Plant communities with more diverse mixtures are liable to use limiting resources such as N more effectively.

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