Distributions of salt-marsh foraminifera along the coast of SW California, USA: Implications for sea-level reconstructions

被引:19
|
作者
Avnaim-Katav, Simona [1 ,2 ]
Gehrels, W. Roland [3 ]
Brown, Lauren N. [2 ]
Fard, Elizabeth [2 ]
MacDonald, Glen M. [1 ,2 ]
机构
[1] Univ Calif Los Angeles, Inst Environm & Sustainabil, La Kretz Hall,Suite 300,Box 951496, Los Angeles, CA 90095 USA
[2] Univ Calif Los Angeles, Dept Geog, 1255 Bunche Hall,Box 951524, Los Angeles, CA 90095 USA
[3] Univ York, Environm Dept, York YO10 5NG, N Yorkshire, England
关键词
Foraminiferal assemblages; California; Salt marshes; Environmental relations; Redundancy analysis; Transfer function; Relative sea level; PARTIAL LEAST-SQUARES; ST CATHERINES ISLAND; OREGON TIDAL MARSHES; INTERTIDAL FORAMINIFERA; BENTHIC FORAMINIFERA; NORTH-CAROLINA; GREAT-MARSHES; COWPEN MARSH; TEES ESTUARY; SEASONAL DISTRIBUTION;
D O I
10.1016/j.marmicro.2017.02.001
中图分类号
Q91 [古生物学];
学科分类号
0709 ; 070903 ;
摘要
Salt-marsh foraminifera are frequently used around the world as proxies in paleoenvironmental studies of sea level change. Quantitative reconstructions of sea-level change use transfer functions which are based on the vertical zonation of salt-marsh foraminifera with respect to the tidal frame. This paper explores for the first time the environmental factors that control the foraminiferal assemblages in Southern California marshes using modem surface samples (1 cm thick) from two marshes Seal Beach and Tijuana Estuary. The dead foraminiferal assemblages demonstrate distinct zonation across the salt-marsh surfaces which is primarily related to elevation. Other variables less important than elevation such as O-2, temperature, salinity and pH additionally control the distribution pattern of these assemblages. The tidal flat and low marshes are characterized by high abundances of Miliammina fusca and calcareous species. The middle marsh is dominated by Jadammina macrescens and Trochammina inflata, while the high marsh zone is dominated by Trochamminita irregularis, Miliammina petila,J. macrescens and T. inflata. Regression modelling was used for the development of a sea-level transfer function based on a combined training set of surface samples from the two study sites. The performance of the Weighted Average - Partial Least Squares (WA-PLS) transfer function suggests a robust relationship between the observed and estimated elevations (r(Jack)(2) = 0.72), and is capable of predicting former sea levels to a precision of +/- 0.09 m. Our results can be used for future paleoenvironmental reconstructions along the Southern California coast, an area that has experienced changes in sea level in the past and will be affected by future sea-level rise coupled with climate and anthropogenic changes, resulting in wide impacts on the natural coastal habitats in this region. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:25 / 43
页数:19
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