Calibration of a bio-optical model in the North River, North Carolina (Albemarle-Pamlico sound): A tool to evaluate water quality impacts on seagrasses

被引:25
作者
Biber, Patrick D. [1 ]
Gallegos, Charles L. [2 ]
Kenworthy, W. Judson [3 ]
机构
[1] Univ N Carolina, Inst Marine Sci, Morehead City, NC 28557 USA
[2] Smithsonian Environm Res Ctr, Edgewater, MD 21037 USA
[3] NOAA, Ctr Coastal Fisheries & Habitat Res, NOS, Beaufort, NC 28516 USA
基金
美国海洋和大气管理局;
关键词
seagrass; optical model; water quality; Albemarle-Pamlico sound; turbidity; chlorophyll; colored dissolved organic matter;
D O I
10.1007/s12237-007-9023-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Seagrasses are typically light limited in many turbid estuarine systems. Light attenuation is due to water and three optically active constituents (OACs): nonalgal particulates, phytoplankton, and colored dissolved organic matter (CDOM). Using radiative transfer modeling, the inherent optical properties (IOPs) of these three OACs were linked to the light attenuation coefficient, K-PAR, which was measured in North River, North Carolina, by profiles of photosynthetically active radiation (PAR). Seagrasses in the southern portion of Albemarle-Pamlico Estuarine System (APES), the second largest estuary in the USA, were found to be light limited at depths ranging from 0.87 to 2 m. This corresponds to a range of K-PAR from 0.54 to 2.76 m(-1) measured during a 24-month monitoring program. Turbidity ranged from 2.20 to 35.55 NTU, chlorophyll a from 1.56 to 15.35 mg m(-3), and CDOM absorption at 440 nm from 0.319 to 3.554 m(-1). The IOP and water quality data were used to calibrate an existing bio-optical model, which predicted a maximum depth for seagrasses of 1.7 m using annual mean water quality values and a minimum light requirement of 22% surface PAR. The utility of this modeling approach for the management of seagrasses in the APES lies in the identification of which water quality component is most important in driving light attenuation and limiting seagrass depth distribution. The calibrated bio-optical model now enables researchers and managers alike to set water quality targets to achieve desired water column light requirement goals that can be used to set criteria for seagrass habitat protection in North Carolina.
引用
收藏
页码:177 / 191
页数:15
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