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Terrestrial nitrogen cycle simulation with a dynamic global vegetation model

机译:利用动态全球植被模型模拟陆地氮循环

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A global scale Dynamic Nitrogen scheme (DyN) has been developed and incorporated into the Lund-Posdam-Jena (LPJ) dynamic global vegetation model (DGVM). The DyN is a comprehensive process-based model of the cycling of N through and within terrestrial ecosystems, with fully interactive coupling to vegetation and C dynamics. The model represents the uptake, allocation and turnover of N in plants, and soil N transformations including mineralization, N fixation, nitrification and denitrification, NH volatilization, N leaching, and N, NO and NO production and emission. Modelled global patterns of site-scale nitrogen fluxes and reservoirs are highly correlated to observations reported from different biomes. The simulation of site-scale net primary production and soil carbon content was improved relative to the original LPJ, which lacked an interactive N cycle, especially in the temporal and boreal regions. Annual N uptake by global natural vegetation was simulated as 1.084 Pg N yrp#, with lowest values <1 g N mpo yrp# (polar desert) and highest values in the range 24-36.5 g N mpo yrp# (tropical forests). Simulated global patterns of annual N uptake are consistent with previous model results by Melillo et al. The model estimates global total nitrogen storage potentials in vegetation (5.3 Pg N), litter (4.6 Pg N) and soil (>=67 Pg as organic N and 0.94 Pg as inorganic N). Simulated global patterns of soil N storage are consistent with the analysis by Post et al. although total simulated N storage is less. Deserts were simulated to store 460 Tg N (up to 0.262 kg N mpo) as NO, contributing 80% of the global total NO inventory of 580 Tg N. This model result is in agreement with the findings of a large NO pool beneath deserts. Globally, inorganic soil N is a small reservoir, comprising only 1.6% of the global soil N content to 1.5 m soil depth, but the ratio has a very high spatial variability and in hot desert regions, inorganic NO is estimated to be the dominant form of stored N in the soil.
机译:已经开发了全球规模的动态氮计划(DyN),并将其并入了隆德-波斯顿-耶拿(LPJ)动态全球植被模型(DGVM)。 DyN是基于氮的循环过程的综合过程模型,该循环在陆地生态系统内和陆地生态系统内进行,并与植被和碳动力学完全互动耦合。该模型表示植物中氮的吸收,分配和周转,以及土壤中氮的转化,包括矿化,固氮,硝化和反硝化,NH挥发,氮浸出以及N,NO和NO的产生和排放。站点规模的氮通量和储层的模拟全球格局与不同生物群落报告的观测高度相关。相对于原始的LPJ,其缺乏交互的N周期,特别是在时空和北方地区,站点规模的净初级生产和土壤碳含量的模拟得到了改善。全球自然植被的年度氮吸收模拟为1.084 Pg N yrp#,最低值<1 g N mpo yrp#(极地沙漠),最高值在24-36.5 g N mpo yrp#(热带森林)范围内。年度氮吸收量的模拟全球模式与Melillo等人先前的模型结果一致。该模型估算了植被(5.3 Pg N),凋落物(4.6 Pg N)和土壤(> = 67 Pg为有机N和0.94 Pg为无机N)中的全球总氮存储潜力。土壤氮存储的模拟全球格局与Post等人的分析一致。尽管模拟的总氮存储量较少。对沙漠进行了模拟,将其存储为460 Tg N(最高0.262 kg N mpo)的NO,占全球580 Tg N的NO总存量的80%。该模型结果与沙漠下一个大型NO池的发现相符。在全球范围内,无机土壤N是一个小的储集层,仅占全球土壤N含量的1.6%至1.5 m的土壤深度,但是该比例具有很高的空间变异性,在炎热的沙漠地区,无机NO被认为是主要形式在土壤中储存的氮

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