气候变化领域集成服务门户(CCPortal): Quantitative reconstruction of primary productivity in low latitudes during the last glacial maximum and the mid-to-late Holocene from a global Florisphaera profunda calibration dataset

CCPortal

DOI	10.1016/j.quascirev.2018.12.016
	Quantitative reconstruction of primary productivity in low latitudes during the last glacial maximum and the mid-to-late Holocene from a global Florisphaera profunda calibration dataset
	Hernández-Almeida I.; Ausín B.; Saavedra-Pellitero M.; Baumann K.-H.; Stoll H.M.
发表日期	2019
ISSN	0277-3791
起始页码	166
结束页码	181
卷号	205
英文摘要	Ocean net primary productivity (Npp) is a key component of the marine carbon cycle. Multi-model Npp projections based on a few decades of satellite data show large uncertainties, in particular at low latitudes (30°N−30°S). Calibration of sedimentary proxies with satellite-based Npp estimates allows for the quantitative reconstruction of this variable at longer time-scales. Relative abundance of deep-photic zone coccolithophore species Florisphaera profunda in the fossil record can potentially be used as a quantitative proxy for Npp. However, the robustness of this proxy calibration has been tested in very specific oceanographic settings using surface sediment samples. Here, we use a global dataset of surface sediment (n = 1258) and sediment trap (n = 26) samples with relative abundance data of F. profunda (%) to test the robustness of this proxy as a quantitative indicator of Npp. We study the modern and paleo-ecology of this species and the main factors affecting its latitudinal distribution. Results show that F. profunda % is a strong indicator of Npp at latitudes between 30°N and 30°S, while at higher latitudes temperature-related variables are more important. We develop a global calibration model between satellite Npp estimates and F. profunda for the latitudinal range between 30°N and 30°S, and we apply it to several low-latitude sediment cores with available F. profunda counts covering the Late Glacial Maximum (LGM; 24–19 ka) and the Mid-to-Late Holocene period (MLH; <6 ka). Reconstructed Npp during the LGM is 15% higher than during the MLHdue to the intensification of trade winds that enhanced oceanic upwelling at low latitudes. © 2018 Elsevier Ltd
英文关键词	Biogeography; Carbon cycle; Coccolithophores; Global calibration; Holocene; Last Glacial Maximum; Ocean net primary productivity; Paleoceanography; Paleoecology; Quantitative reconstruction
语种	英语
scopus关键词	Ecosystems; Glacial geology; Photosynthesis; Phytoplankton; Satellites; Statistical tests; Surficial sediments; Biogeography; Carbon cycles; Coccolithophores; Global calibration; Holocenes; Last Glacial Maximum; Net primary productivity; Paleoceanography; Paleoecology; Surface testing; biogeography; calibration; carbon cycle; coccolith; data set; fossil record; global perspective; Holocene; Last Glacial Maximum; net primary production; paleoceanography; reconstruction; relative abundance; satellite data; sediment trap; spatial distribution; Haptophyceae
来源期刊	Quaternary Science Reviews
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/152035
作者单位	ETH, Geological Institute, Department of Earth Science, Sonneggstrasse 5, Zürich, 8092, Switzerland; University of Bremen, Department of Geosciences, Klagenfurter Str. 2-4, Bremen, 28359, Germany
推荐引用方式 GB/T 7714	Hernández-Almeida I.,Ausín B.,Saavedra-Pellitero M.,et al. Quantitative reconstruction of primary productivity in low latitudes during the last glacial maximum and the mid-to-late Holocene from a global Florisphaera profunda calibration dataset[J],2019,205.
APA	Hernández-Almeida I.,Ausín B.,Saavedra-Pellitero M.,Baumann K.-H.,&Stoll H.M..(2019).Quantitative reconstruction of primary productivity in low latitudes during the last glacial maximum and the mid-to-late Holocene from a global Florisphaera profunda calibration dataset.Quaternary Science Reviews,205.
MLA	Hernández-Almeida I.,et al."Quantitative reconstruction of primary productivity in low latitudes during the last glacial maximum and the mid-to-late Holocene from a global Florisphaera profunda calibration dataset".Quaternary Science Reviews 205(2019).