Dinoflagellate cysts and pollen distribution of marine surface sediments off West Africa


Autoria(s): Bouimetarhan, Ilham; Marret, Fabienne; Dupont, Lydie M; Zonneveld, Karin A F
Cobertura

MEDIAN LATITUDE: 19.750095 * MEDIAN LONGITUDE: -11.547705 * SOUTH-BOUND LATITUDE: 6.121667 * WEST-BOUND LONGITUDE: -21.960000 * NORTH-BOUND LATITUDE: 54.525000 * EAST-BOUND LONGITUDE: 10.077000 * DATE/TIME START: 1983-07-09T00:00:00 * DATE/TIME END: 2005-06-30T12:45:00

Data(s)

15/07/2009

Resumo

An organic-walled dinoflagellate cyst analysis was carried out on 53 surface sediment samples from West Africa (17-6°N) to obtain insight in the relationship between their spatial distribution and hydrological conditions in the upper water column as well as marine productivity in the study area. Multivariate analysis of the dinoflagellate cyst relative abundances and environmental parameters of the water column shows that sea-surface temperature, salinity, marine productivity and bottom water oxygen are the factors that relate significantly to the distribution patterns of individual species in the region. The composition of cyst assemblages and dinoflagellate cyst concentrations allows the identification of four hydrographic regimes; 1) the northern regime between 17 and 14°N characterized by high productivity associated with seasonal coastal upwelling, 2) the southern regime between 12 and 6°N associated with high-nutrient waters influenced by river discharge 3) the intermediate regime between 14 and 12°N influenced mainly by seasonal coastal upwelling additionally associated with fluvial input of terrestrial nutrients and 4) the offshore regime characterized by low chlorophyll-a concentrations in upper waters and high bottom water oxygen concentrations. Our data show that cysts of Polykrikos kofoidii, Selenopemphix quanta, Dubridinium spp., Echinidinium species, cysts of Protoperidinium monospinum and Spiniferites pachydermus are the best proxies to reconstruct the boundary between the NE trade winds and the monsoon winds in the subtropical eastern Atlantic Ocean. The association of Bitectatodinium spongium, Lejeunecysta oliva, Quinquecuspis concreta, Selenopemphix nephroides, Trinovantedinium applanatum can be used to reconstruct past river outflow variations within this region.

Formato

application/zip, 2 datasets

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.743064

doi:10.1594/PANGAEA.743064

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Bouimetarhan, Ilham; Marret, Fabienne; Dupont, Lydie M; Zonneveld, Karin A F (2009): Dinoflagellate cyst distribution in marine surface sediments off West Africa (6-17°N) in relation to sea-surface conditions, freshwater input and seasonal coastal upwelling. Marine Micropaleontology, 71(3-4), 113-130, doi:10.1016/j.marmicro.2009.02.001

Palavras-Chave #286; 287; 288; 289; 290; 291; 293; 295; 297; 298; 300; 301; 302; 303; 304; 305; 306; 307; 310; 311; 312; 313; 314; 316; 317; 318; 319; 320; 321; 322; 323; 324; 326; 327; 329; 330; 331; 371; 376; 388; Atlantic Ocean; B. spongium; Bitectatodinium spongium; Brigantedinium spp.; Calculated, see reference(s); Center for Marine Environmental Sciences; Chl a; Chlorophyll a; Counting, palynology; Cyst of P. americanum; Cyst of P. monospinum; Depth; DEPTH, sediment/rock; Dinoflagellate cyst; Dinoflagellate cyst indeterminata; Dinoflagellate cyst per unit mass; Dinofl cyst; Dinofl indet; Dubridinium spp.; E. aculeatum; E. delicatum; E. granulatum; E. transparantum; Echinidinium aculeatum; Echinidinium delicatum; Echinidinium granulatum; Echinidinium spp.; Echinidinium transparantum; Eckernfoerder Bay; Event; GeoB9501-4; GeoB9502-5; GeoB9503-3; GeoB9503-5; GeoB9504-4; GeoB9505-3; GeoB9506-3; GeoB9508-4; GeoB9510-3; GeoB9512-4; GeoB9513-5; GeoB9515-2; GeoB9516-4; GeoB9517-5; GeoB9518-4; GeoB9519-6; GeoB9520-4; GeoB9521-3; GeoB9522-2; GeoB9525-5; GeoB9526-4; GeoB9527-6; GeoB9528-1; GeoB9529-1; GeoB9531-2; GeoB9532-1; GeoB9533-3; GeoB9534-4; GeoB9535-5; GeoB9536-4; GeoB9537-4; GeoB9538-5; GeoB9539-1; GeoB9541-1; GeoB9542-1; GeoB9544-1; GeoB9545-1; GeoB9546-1; GEOTROPEX 83, NOAMP I; Giant box corer; GIK16402-1; GIK16404-1; GIK16405-1; GIK16407-1; GIK16414-1; GIK16421-1; GIK16425-1; GIK16437-3; GIK16558-1; GIK16755-1; GIK16764-1; GIK16765-1; GIK16766-1; GIK16767-1; GIK16768-1; GIK16769-1; GKG; Gravity corer (Kiel type); I. aculeatum; I. paradoxum; I. patulum; Impagidinium aculeatum; Impagidinium paradoxum; Impagidinium patulum; Impagidinium spp.; L. machaerophorum; L. oliva; Leujeunocysta oliva; LI198x; Lingulodinium machaerophorum; Littorina; M6/5; M65; M65/1; MARUM; Mauritania Canyon; Meteor (1964); Meteor (1986); MUC; MultiCorer; N. labyrinthus; Nematosphaeropsis labyrinthus; Nitrate; NO3; O. centrocarpum; O. centrocarpum s.s.; O. israelianum; O2; off Guinea; Operculodinium centrocarpum; Operculodinium israelianum; Oxygen; P. americanum; P. dalei; P. kofoidii; P. monospinum; P. stellatum; P. zoharyi; Pentapharsodinium dalei; Phosphate; PO4; Pollen/sed; Pollen per unit sediment mass; Polykrikos kofoidii; Polysphaeridium zoharyi; Protoperidinium americanum; Protoperidinium monospinum; Protoperidinium spp.; Protoperidinium stellatum; Q. concreta; Quinquecuspis concreta; S. bentorii; S. bulloides; S. hyperacanthus; S. mirabilis; S. nephroides; S. pachydermus; S. quanta; S. ramosus; S1; S2; S3; S4; Sea surface salinity; Sea surface temperature, autumn; Sea surface temperature, spring; Sea surface temperature, summer; Sea surface temperature, winter; see reference(s); Selenopemphix nephroides; Selenopemphix quanta; short; SL; Spiniferites bentorii; Spiniferites bulloides; Spiniferites hyperacanthus; Spiniferites mirabilis; Spiniferites pachydermus; Spiniferites ramosus; Spiniferites spp.; SSS; SST aut; SST spr; SST sum; SST win; Stelladinium spp.; T. applanatum; T. vancampoae; T1; T2; T3; T4; Trinovantedinium applanatum; Tuberculodinium vancampoae; V. calvum; V. spinosum; van Veen Grab; VGRAB; Votadinium calvum; Votadinium spinosum; X. xanthum; Xandarodinium xanthum
Tipo

Dataset