期刊
ECOLOGY LETTERS
卷 19, 期 6, 页码 697-709出版社
WILEY
DOI: 10.1111/ele.12591
关键词
Leaching; mineralisation; nitrification; nitrogen deposition; nitrogen loss; plant N uptake; saturation; soil N retention; threshold
类别
资金
- National Natural Science Foundation of China [31470528, 31420103917, 31290220]
- Ministry of Science and Technology of China [2013CB956300]
- Thousand Youth Talents Plan Project
- INTERFACE Research Coordination Network [US NSF DEB-0955771]
- Research Group of Global Change Ecology at Henan University [NSFC41030104/D0308]
- Swedish Research Council Formas
- Direct For Biological Sciences
- Division Of Environmental Biology [0955771] Funding Source: National Science Foundation
Nitrogen (N) deposition is impacting the services that ecosystems provide to humanity. However, the mechanisms determining impacts on the N cycle are not fully understood. To explore the mechanistic underpinnings of N impacts on N cycle processes, we reviewed and synthesised recent progress in ecosystem N research through empirical studies, conceptual analysis and model simulations. Experimental and observational studies have revealed that the stimulation of plant N uptake and soil retention generally diminishes as N loading increases, while dissolved and gaseous losses of N occur at low N availability but increase exponentially and become the dominant fate of N at high loading rates. The original N saturation hypothesis emphasises sequential N saturation from plant uptake to soil retention before N losses occur. However, biogeochemical models that simulate simultaneous competition for soil N substrates by multiple processes match the observed patterns of N losses better than models based on sequential competition. To enable better prediction of terrestrial N cycle responses to N loading, we recommend that future research identifies the response functions of different N processes to substrate availability using manipulative experiments, and incorporates the measured N saturation response functions into conceptual, theoretical and quantitative analyses.
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