Aldridge J N, Lessin G, Amoudry L O, Hicks N, Hull T, Klar J K, Kitidis V, McNeill C L, Ingels J, Parker E R, Silburn B, Silva T, Sivyer D B, Smith H E K, Widdicombe S, Woodward E M S, van der Molen J, Garcia L, Kröger S
1Centre for Environment, Fisheries and Aquaculture Science, Lowestoft, NR33 0HT UK.
Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth, PL1 3DH UK.
Biogeochemistry. 2017;135(1):155-182. doi: 10.1007/s10533-017-0367-0. Epub 2017 Sep 7.
Results from a 1D setup of the European Regional Seas Ecosystem Model (ERSEM) biogeochemical model were compared with new observations collected under the UK Shelf Seas Biogeochemistry (SSB) programme to assess model performance and clarify elements of shelf-sea benthic biogeochemistry and carbon cycling. Observations from two contrasting sites (muddy and sandy) in the Celtic Sea in otherwise comparable hydrographic conditions were considered, with the focus on the benthic system. A standard model parameterisation with site-specific light and nutrient adjustments was used, along with modifications to the within-seabed diffusivity to accommodate the modelling of permeable (sandy) sediments. Differences between modelled and observed quantities of organic carbon in the bed were interpreted to suggest that a large part (>90%) of the observed benthic organic carbon is biologically relatively inactive. Evidence on the rate at which this inactive fraction is produced will constitute important information to quantify offshore carbon sequestration. Total oxygen uptake and oxic layer depths were within the range of the measured values. Modelled depth average pore water concentrations of ammonium, phosphate and silicate were typically 5-20% of observed values at the muddy site due to an underestimate of concentrations associated with the deeper sediment layers. Model agreement for these nutrients was better at the sandy site, which had lower pore water concentrations, especially deeper in the sediment. Comparison of pore water nitrate with observations had added uncertainty, as the results from process studies at the sites indicated the dominance of the anammox pathway for nitrogen removal; a pathway that is not included in the model. Macrofaunal biomasses were overestimated, although a model run with increased macrofaunal background mortality rates decreased macrofaunal biomass and improved agreement with observations. The decrease in macrofaunal biomass was compensated by an increase in meiofaunal biomass such that total oxygen demand remained within the observed range. The permeable sediment modification reproduced some of the observed behaviour of oxygen penetration depth at the sandy site. It is suggested that future development in ERSEM benthic modelling should focus on: (1) mixing and degradation rates of benthic organic matter, (2) validation of benthic faunal biomass against large scale spatial datasets, (3) incorporation of anammox in the benthic nitrogen cycle, and (4) further developments to represent permeable sediment processes.
将欧洲区域海洋生态系统模型(ERSEM)生物地球化学模型的一维设置结果与在英国陆架海生物地球化学(SSB)计划下收集的新观测数据进行了比较,以评估模型性能,并阐明陆架海底栖生物地球化学和碳循环的要素。研究考虑了凯尔特海两个水文条件相当但截然不同的站点(泥质和砂质)的观测数据,重点是底栖系统。使用了具有特定站点光照和营养调整的标准模型参数化方法,同时对海底扩散率进行了修改,以适应对渗透性(砂质)沉积物的建模。对床层中有机碳的模拟量和观测量之间的差异进行了解释,结果表明,观测到的大部分底栖有机碳(>90%)在生物学上相对不活跃。关于这种不活跃部分产生速率的证据将构成量化近海碳固存的重要信息。总氧摄取量和有氧层深度在测量值范围内。由于对与较深沉积层相关的浓度估计不足,在泥质站点,模拟的铵、磷酸盐和硅酸盐的深度平均孔隙水浓度通常为观测值的5-20%。在孔隙水浓度较低的砂质站点,尤其是在沉积物较深处,模型对这些营养物质的一致性更好。将孔隙水硝酸盐与观测值进行比较增加了不确定性,因为站点过程研究的结果表明厌氧氨氧化途径在氮去除中占主导地位;而该模型未包含此途径。大型底栖动物生物量被高估,不过,一次将大型底栖动物背景死亡率提高的模型运行降低了大型底栖动物生物量,并改善了与观测值的一致性。大型底栖动物生物量的减少被小型底栖动物生物量的增加所补偿,从而使总需氧量保持在观测范围内。对渗透性沉积物的修改再现了砂质站点观测到的一些氧气穿透深度行为。建议ERSEM底栖建模的未来发展应侧重于:(1)底栖有机物的混合和降解速率,(2)根据大规模空间数据集验证底栖动物生物量,(3)将厌氧氨氧化纳入底栖氮循环,以及(4)进一步发展以表示渗透性沉积物过程。