2018
DOI: 10.1016/j.still.2017.12.013
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Simulating greenhouse gas emissions and stocks of carbon and nitrogen in soil from a long-term no-till system in the North China Plain

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Cited by 23 publications
(16 citation statements)
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“…Carbon and nitrogen stocks in soil can largely determine the level of their stocks in the forest ecosystem; thus, the ecosystem carbon and nitrogen stocks in the SLL were the highest. The relative humidity and SWC showed positive correlations with the forest ecosystem carbon and nitrogen stocks, which confirmed the lower decomposition rate of organic matter in humid conditions [62,63]. Additionally, the lower VPD in SLL in our study means a higher relative humidity, which also benefits the accumulation of soil carbon and nitrogen.…”
Section: Effect Of Environmental Factors On Larch Forest Carbon and Nsupporting
confidence: 78%
“…Carbon and nitrogen stocks in soil can largely determine the level of their stocks in the forest ecosystem; thus, the ecosystem carbon and nitrogen stocks in the SLL were the highest. The relative humidity and SWC showed positive correlations with the forest ecosystem carbon and nitrogen stocks, which confirmed the lower decomposition rate of organic matter in humid conditions [62,63]. Additionally, the lower VPD in SLL in our study means a higher relative humidity, which also benefits the accumulation of soil carbon and nitrogen.…”
Section: Effect Of Environmental Factors On Larch Forest Carbon and Nsupporting
confidence: 78%
“…Agro-ecosystems have recently been in the research spotlight due to their role in climate change; more specifically, farmlands, which are an example of how humans modify the natural environment, have the potential to largely affect C exchange between soils and the atmosphere (Camarotto et al, 2018). Various field management practices, such as tillage, fertilization and irrigation, have direct and/or indirect implications for the soil C balance (Zhang et al, 2018). Our simulations showed that soils in all four tested treatments acted as a C sink.…”
Section: Discussionmentioning
confidence: 99%
“…A detailed description of the SPACSYS model (https://www.rothamsted.ac.uk/rothamsted-spacsys-model) has been provided in previous studies (Wu et al, 2007; Perego et al, 2016; Li et al, 2017a, 2018a; Zhang et al, 2018). For this reason, only a brief summary of how the model was applied to the current study is presented here.…”
Section: Methodsmentioning
confidence: 99%
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