Application of excitation emission matrix fluorescence monitoring in the assessment of spatial and seasonal drivers of dissolved organic matter composition: Sources and physical disturbance controls

被引:55
作者
Maie, N. [1 ,2 ,3 ]
Yamashita, Y. [1 ,2 ,4 ]
Cory, R. M. [5 ]
Boyer, J. N. [1 ,6 ]
Jaffe, R. [1 ,2 ]
机构
[1] Florida Int Univ, SE Environm Res Ctr, Miami, FL 33199 USA
[2] Florida Int Univ, Dept Chem & Biochem, Miami, FL 33199 USA
[3] Kitasato Univ, Sch Vet Med, Dept Bioenvironm Sci, Towada, Aomori 0348628, Japan
[4] Hokkaido Univ, Fac Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan
[5] Univ N Carolina, Dept Environm Sci & Engn, Chapel Hill, NC USA
[6] Florida Int Univ, Dept Earth & Environm, Miami, FL 33199 USA
基金
美国国家科学基金会;
关键词
PARALLEL FACTOR-ANALYSIS; SEAGRASS THALASSIA-TESTUDINUM; COASTAL UPWELLING SYSTEM; FLORIDA BAY; WATER-QUALITY; CHEMICAL CHARACTERISTICS; OPTICAL-PROPERTIES; MARINE; ENVIRONMENTS; PHYTOPLANKTON;
D O I
10.1016/j.apgeochem.2011.12.021
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The environmental dynamics of dissolved organic matter (DOM) were characterized for a shallow, subtropical, seagrass-dominated estuarine bay, namely Florida Bay, USA. Large spatial and seasonal variations in DOM quantity and quality were assessed using dissolved organic C (DOC) measurements and spectrophotometric properties including excitation emission matrix (EEM) fluorescence with parallel factor analysis (PARAFAC). Surface water samples were collected monthly for 2 years across the bay. DOM characteristics were statistically different across the bay, and the bay was spatially characterized into four basins based on chemical characteristics of DOM as determined by EEM-PARAFAC. Differences between zones were explained based on hydrology, geomorphology, and primary productivity of the local seagrass community. In addition, potential disturbance effects from a very active hurricane season were identified. Although the overall seasonal patterns of DOM variations were not significantly affected on a bay-wide scale by this disturbance, enhanced freshwater delivery and associated P and DOM inputs (both quantity and quality) were suggested as potential drivers for the appearance of algal blooms in high impact areas. The application of EEM-PARAFAC proved to be ideally suited for studies requiring high sample throughput methods to assess spatial and temporal ecological drivers and to determine disturbance-induced impacts in aquatic ecosystems. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:917 / 929
页数:13
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