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首页> 外文期刊>Journal of Advances in Modeling Earth Systems >Modeling Global Soil Carbon and Soil Microbial Carbon by Integrating Microbial Processes into the Ecosystem Process Model TRIPLEX?¢????GHG
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Modeling Global Soil Carbon and Soil Microbial Carbon by Integrating Microbial Processes into the Ecosystem Process Model TRIPLEX?¢????GHG

机译:通过将微生物过程整合到生态系统过程模型TRIPLEX中来模拟全球土壤碳和土壤微生物碳

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Microbial physiology plays a critical role in the biogeochemical cycles of the Earth system. However, most traditional soil carbon models are lacking in terms of the representation of key microbial processes that control the soil carbon response to global climate change. In this study, the improved process?¢????based model TRIPLEX?¢????GHG was developed by coupling it with the new MEND (Microbial?¢????ENzyme?¢????mediated Decomposition) model to estimate total global soil organic carbon (SOC) and global soil microbial carbon. The new model (TRIPLEX?¢????MICROBE) shows considerable improvement over the previous version (TRIPLEX?¢????GHG) in simulating SOC. We estimated the global soil carbon stock to be approximately 1195 Pg C, with 348 Pg C located in the high northern latitudes, which is in good agreement with the well?¢????regarded Harmonized World Soil Database (HWSD) and the Northern Circumpolar Soil Carbon Database (NCSCD). We also estimated the global soil microbial carbon to be 21 Pg C, similar to the 23 Pg C estimated by Xu et al. (2014). We found that the microbial carbon quantity in the latitudinal direction showed reversions at approximately 30???°N, near the equator and at 25???°S. A sensitivity analysis suggested that the tundra ecosystem exhibited the highest sensitivity to a 1???°C increase or decrease in temperature in terms of dissolved organic carbon (DOC), microbial biomass carbon (MBC), and mineral?¢????associated organic carbon (MOC). However, our work represents the first step toward a new generation of ecosystem process models capable of integrating key microbial processes into soil carbon cycles.
机译:微生物生理学在地球系统的生物地球化学循环中起着至关重要的作用。但是,就控制土壤碳对全球气候变化的响应的关键微生物过程的表示而言,大多数传统的土壤碳模型都缺乏。在这项研究中,通过将改进的过程TRIPLEX模型GHG与新的MEND(微生物酶介导的分解)耦合而开发出来估算全球土壤有机碳总量和土壤微生物碳总量的模型。新模型(TRIPLEXTMMICROBE)在模拟SOC方面比以前的版本(TRIPLEXTMGHG)有了显着改进。我们估计全球土壤碳储量约为1195 Pg C,其中348 Pg C位于北部高纬度地区,这与公认的世界土壤数据库(HWSD)和北部的井很好吻合。极地土壤碳数据库(NCSCD)。我们还估计全球土壤微生物碳为21 Pg C,类似于Xu等人估计的23 PgC。 (2014)。我们发现,横向上的微生物碳量在大约30ºN,在赤道附近和在25ºS处显示出反转。敏感性分析表明,以溶解有机碳(DOC),微生物生物量碳(MBC)和矿物质的形式,苔原生态系统对温度升高或降低1℃时表现出最高的敏感性。相关的有机碳(MOC)。但是,我们的工作代表了迈向能够将关键微生物过程整合到土壤碳循环中的新一代生态系统过程模型的第一步。

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