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DOIhttps://doi.org/10.1594/PANGAEA.831943
Sediment organic matter, grain size, and results of prediction models from northern North Atlantic and Arctic Seas
Ostmann; Alexandra; Schnurr; Sarah; Martínez Arbizu; Pedro
发布日期2014-04-16
数据集类型dataset
英文简介Sediment samples and hydrographic conditions were studied at 28 stations around Iceland. At these sites, Conductivity-Temperature-Depth (CTD) casts were coducted to collect hydrographic data and multicorer casts were conducted to collect data on sediment characteristics including grain size distribution, carbon and nitrogen concentration, and chloroplastic pigment concentration. A total of 14 environmental predictors were used to model sediment characteristics around Iceland on regional scale. Two approaches were used: Multivariate Adaptation Regression Splines (MARS) and randomForest regression models. RandomForest outperformed MARS in predicting grain size distribution. MARS models had a greater tendency to over-and underpredict sediment values in areas outside the environmental envelope defined by the training dataset. We provide first GIS layers on sediment characteristics around Iceland, that can be used as predictors in future models. Although models performed well, more samples, especially from the shelf areas, will be needed to improve the models in future.
空间范围Median Latitude: 64.529032 * Median Longitude: -19.042745 * South-bound Latitude: 60.045500 * West-bound Longitude: -31.368500 * North-bound Latitude: 69.093500 * East-bound Longitude: -6.958000
时间范围2011-08-28T15:52:00 - 2013-08-02T06:49:00
语种英语
国家国际
学科大类气候变化
学科子类气候变化
文献类型数据集
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/215508
推荐引用方式
GB/T 7714
Ostmann,Alexandra,Schnurr,et al. Sediment organic matter, grain size, and results of prediction models from northern North Atlantic and Arctic Seas.2014-04-16.https://doi.org/10.1594/PANGAEA.831943.
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