Factors Influencing Input and Output of Nitrogen in Grasslands

Woodmansee, R. G.

doi:10.1007/978-1-4612-6182-7_8

Cited by 26 publications

(20 citation statements)

References 76 publications

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“…This was despite the low N content of litter in low nutrition plots, which approached the 1 % N level (Fig. 2) -a common residual value for much plant dead matter (Woodmansee 1979). …”

Section: Discussionmentioning

confidence: 99%

“…4) were consistent for both years, suggesting a state of dynamic equilibrium in which litter disappearance on an annual basis (Table 3) equated with litter fall (Table 2). Any long term effects of treatment on the N balance of the sward would presumably operate at the soil organic matter pool level which can vary with degree of pasture utilisation (Woodmansee 1979;Field & Ball 1982). Low nutrition swards must have depleted the soil N pool, as N uptake was twice as much as the N applied ( Table 2).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Nitrogen cycling through senescent leaves and litter in swards of Ruanui and Nui ryegrass with high and low nitrogen inputs

Hunt

1983

New Zealand Journal of Agricultural Research

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“…This was despite the low N content of litter in low nutrition plots, which approached the 1 % N level (Fig. 2) -a common residual value for much plant dead matter (Woodmansee 1979). …”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Nitrogen cycling through senescent leaves and litter in swards of Ruanui and Nui ryegrass with high and low nitrogen inputs

Hunt

1983

New Zealand Journal of Agricultural Research

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“…In grasslands of the western United States, denitrification was considered to be negligible [Woodmansee, 1979] 1996] reported an increase in the relative abundance of legumes after fire. Measurements in the same region showed that N fixation by free-living bacteria (Azospirilum) was lower in protected areas than in burned soils [Santaella, 1985].…”

Section: Pyrodenitrification and N Fixationmentioning

confidence: 99%

Budgets of fixed nitrogen in the Orinoco Savannah Region: Role of pyrodenitrification

Sanhueza¹,

Crutzen²

1998

Global Biogeochemical Cycles

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“…Previously, plants were thought to be initial losers in nutrient competition, due to the fact that microbes are more intimately associated with substrates (Woodmansee et al, 1981). However, increasing observational evidence indicates that plants compete effectively with soil microorganisms (Schimel and Bennett, 2004) under certain circumstances, sometimes even outcompeting them and suppressing microbial growth (Hu et al, 2001;Wang and Lars, 1997).…”

Section: Introductionmentioning

confidence: 99%

Multiple soil nutrient competition between plants, microbes, and mineral surfaces: model development, parameterization, and example applications in several tropical forests

et al. 2016

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Abstract. Soil is a complex system where biotic (e.g., plant roots, micro-organisms) and abiotic (e.g., mineral surfaces) consumers compete for resources necessary for life (e.g., nitrogen, phosphorus). This competition is ecologically significant, since it regulates the dynamics of soil nutrients and controls aboveground plant productivity. Here we develop, calibrate and test a nutrient competition model that accounts for multiple soil nutrients interacting with multiple biotic and abiotic consumers. As applied here for tropical forests, the Nutrient COMpetition model (N-COM) includes three primary soil nutrients (NH ) and five potential competitors (plant roots, decomposing microbes, nitrifiers, denitrifiers and mineral surfaces). The competition is formulated with a quasi-steady-state chemical equilibrium approximation to account for substrate (multiple substrates share one consumer) and consumer (multiple consumers compete for one substrate) effects. N-COM successfully reproduced observed soil heterotrophic respiration, N 2 O emissions, free phosphorus, sorbed phosphorus and NH + 4 pools at a tropical forest site (Tapajos). The overall model uncertainty was moderately well constrained. Our sensitivity analysis revealed that soil nutrient competition was primarily regulated by consumer-substrate affinity rather than environmental factors such as soil temperature or soil moisture. Our results also imply that under strong nutrient limitation, relative competitiveness depends strongly on the competitor functional traits (affinity and nutrient carrier enzyme abundance). We then applied the N-COM model to analyze field nitrogen and phosphorus perturbation experiments in two tropical forest sites (in Hawaii and Puerto Rico) not used in model development or calibration. Under soil inorganic nitrogen and phosphorus elevated conditions, the model accurately replicated the experimentally observed competition among nutrient consumers. Although we used as many observations as we could obtain, more nutrient addition experiments in tropical systems would greatly benefit model testing and calibration. In summary, the N-COM model provides an ecologically consistent representation of nutrient competition appropriate for land BGC models integrated in Earth System Models.

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Factors Influencing Input and Output of Nitrogen in Grasslands

Cited by 26 publications

References 76 publications

Nitrogen cycling through senescent leaves and litter in swards of Ruanui and Nui ryegrass with high and low nitrogen inputs

Nitrogen cycling through senescent leaves and litter in swards of Ruanui and Nui ryegrass with high and low nitrogen inputs

Budgets of fixed nitrogen in the Orinoco Savannah Region: Role of pyrodenitrification

Multiple soil nutrient competition between plants, microbes, and mineral surfaces: model development, parameterization, and example applications in several tropical forests

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