Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s00477-020-01868-z |
Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates | |
Ceriotti, G.; Tang, F. H. M.; Maggi, F. | |
通讯作者 | Ceriotti, G |
来源期刊 | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
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ISSN | 1436-3240 |
EISSN | 1436-3259 |
出版年 | 2020 |
卷号 | 34期号:12页码:2229-2244 |
英文摘要 | The biogeochemical complexity of environmental models is increasing continuously and model reliability must be reanalysed when new implementations are brought about. This work aims to identify influential biogeochemical parameters that control the Soil Organic Matter (SOM) dynamics and greenhouse gas emissions in different ecosystems and climates predicted by a physically-based mechanistic model. This explicitly accounts for four pools of organic polymers, seven pools of organic monomers, five microbial functional groups, and inorganic N and C species. We first benchmarked our model against vertical SOM profiles measured in a temperate forest in North-Eastern Bavaria, Germany (Staudt and Foken in Documentation of reference data for the experimental areas of the Bayreuth Centre for Ecology and Environmental Research (BayCEER) at the Waldstein site. Univ, Bayreuth, Department of Micrometeorology, 2007). Next, we conducted a sensitivity analysis to biogeochemical parameters using modified Morris indices for target SOM pools and gas emissions from a tropical, a temperate, and a semi-arid grassland in Australia. We found that greenhouse gas emissions, the SOM stock, and the fungi-to-bacteria ratio in the top soil were more sensitive to the mortality of aerobic bacteria than other biogeochemical parameters. The larger CO2 emission rates in forests than in grasslands were explained by a greater dissolved SOM content. Finally, we found that the soil N availability was largely controlled by vegetation inputs in forests and by atmospheric fixation in grasslands. |
英文关键词 | Sensitivity analysis Soil organic matter Bacterial mortality Environmental model Grassland Forest |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000567762100001 |
WOS关键词 | POLYNOMIAL CHAOS EXPANSION ; GLOBAL-SENSITIVITY ; UNCERTAINTY QUANTIFICATION ; THEORETICAL FRAMEWORK ; BACTERIAL RATIOS ; CYCLE MODELS ; LEAF-LITTER ; CARBON ; DECOMPOSITION ; TEMPERATURE |
WOS类目 | Engineering, Environmental ; Engineering, Civil ; Environmental Sciences ; Statistics & Probability ; Water Resources |
WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/326166 |
作者单位 | [Ceriotti, G.] Univ Lausanne, Inst Earth Sci, Bldg Geopolis, Lausanne, Switzerland; [Ceriotti, G.; Tang, F. H. M.; Maggi, F.] Univ Sydney, Sch Civil Engn, Lab Environm Engn, Bld J05, Sydney, NSW 2006, Australia |
推荐引用方式 GB/T 7714 | Ceriotti, G.,Tang, F. H. M.,Maggi, F.. Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates[J],2020,34(12):2229-2244. |
APA | Ceriotti, G.,Tang, F. H. M.,&Maggi, F..(2020).Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,34(12),2229-2244. |
MLA | Ceriotti, G.,et al."Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 34.12(2020):2229-2244. |
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