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

Identification of biogeochemical provinces in the Southern Ocean: spatial modeling of biological, geochemical and sedimentological data
南大洋生物地球化学区的识别:生物、地球化学和沉积学数据的空间建模
批准号:
219465809
负责人:
Dr. Kerstin Jerosch
金额:
$0.0万
依托单位国家:
德国
项目类别:
Infrastructure Priority Programmes
财政年份:
2012
资助国家:
德国
项目状态:
已结题
起止时间:
2011-12-31 至 2016-12-31

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中文摘要
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英文摘要
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.
期刊论文(2)
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会议论文
DOI: 10.1007/s11001-015-9256-x
发表时间: 2016
期刊: Marine Geophysical Research
影响因子: 1.4
作者: [Jerosch, Krajnik, Scharf, Dorschel]
通讯作者: Dorschel
Habitat modelling of crabeater seals (Lobodon carcinophaga) in the Weddell Sea using the multivariate approach Maxent
使用多元方法 Maxent 对威德尔海食蟹海豹 (Lobodon carcinophaga) 进行栖息地建模
DOI: 10.1007/s00300-016-2020-0
发表时间: 2017
期刊: Polar Biology
影响因子: 1.7
作者: [Nachtsheim, Jerosch, Plötz, Bornemann]
通讯作者: Bornemann
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