Identification of biogeochemical provinces in the Southern Ocean: spatial modeling of biological, geochemical and sedimentological data

与生物硅相比，对全球海洋碳循环的关键区域南大洋的海底颗粒有机碳通量知之甚少。由于缺乏数据，60°以南的南大洋仍然被排除在全球碳预算计算之外。我们的知识率和时空变化是零碎的，因此耦合到区域或全球模型的这些过程仍然很困难，容易出错。与此同时，生物、地球化学和沉积学研究数据以及海洋科学中应用的多元分析方法的公开提供和传播正在取得重大进展，以改进跨学科数据分析。该提案旨在建立海底颗粒有机碳通量模型，并使用相关参数，如生物硅、海底生物和其他环境参数，模拟地球化学情况作为替代。南大洋的生物地球化学区将结合现场测量、实验和多变量模型，通过基于地理信息系统的统计建模方法，显示确定的氧和碳通量区域。还需要这些省份来量化潜在物种的出现和生物量，并可用于在科学考察期间优化采样策略。南大洋诸省的空间分布和面积将缩小全球地球化学循环知识的差距。此外，探索的空间变化的位置和范围的省份，预计由于全球变暖的地球化学通量在南大洋的定量变化的预测。

Compared to biogenic silica, little is known about benthic particulate organic carbon fluxes in situ in the Southern Ocean, a key region for the global marine carbon cycle. Because of the lack of data, the Southern Ocean south of 60° is still excluded from the global carbon budget calculations. Our knowledge of rates and spatio-temporal variability is patchy, therefore coupling of these processes into regional or global models remains difficult and error prone. Meanwhile the public availability and dissemination of biological, geochemical and sedimentological research data as well as multivariate analysis methods applied in marine sciences is undergoing major developments, towards improving interdisciplinary data analysis. This proposal aims to model benthic particulate organic carbon fluxes and to use correlated parameters as biogenic silica, benthic organisms and other environmental parameters, that mimic the geochemical situation as proxies. Biogeochemical provinces in the Southern Ocean combining in situ measurements, experiments and multivariate models, will indicate areas of defined oxygen and carbon fluxes by GIS-based statistical modeling methodology. These provinces are also needed to quantify potential species occurrence and biomass and can be used to optimize sampling strategies during scientific expeditions. The spatial distribution and the dimensions of the Southern Ocean provinces will reduce the gap of knowledge regarding the global geochemical cycles. Furthermore, the exploration of the spatial variation regarding the location and extent of the provinces which are to be expected due to global warming contribute to the prediction of quantitative changes in geochemical fluxes in the Southern Ocean.