首页> 外文期刊>Journal of great lakes research >Estimating summertime epilimnetic primary production via in situ monitoring in an eutrophic freshwater embayment, Green Bay, Lake Michigan
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Estimating summertime epilimnetic primary production via in situ monitoring in an eutrophic freshwater embayment, Green Bay, Lake Michigan

机译:通过在密歇根湖绿湾富营养化淡水河道中进行原位监测,估算夏季的lim生初级生产力

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Quantifying rates of primary production and respiration is fundamental to understanding ecosystem function. This study utilized high-frequency time series, buoy-based sensor data to estimate daily primary production and respiration rates during the summers of 2012-2015 in southern Green Bay, Lake Michigan. Highly coherent diel oscillations of dissolved oxygen concentrations in epilimnetic waters were commonly observed for much of the summer via 30-min time intervals from the GLOS buoy (NOAA 45014) sensor array. Corrections for air-sea exchange based upon wind speed-derived gas exchange coefficients and saturation state, when combined with mixing depth, allow calculation of daytime net oxygen production and nighttime respiration. Thermistor string observations at 1-m intervals over the 13 m water depth showed the onset of thermal stratification, development of the thennocline, and occasional mixing events. For the summers of 2014 and 2015, during which a nearly continuous sensor record exists, gross primary production (GPP) and respiration (R) were estimated to be 342 +/- 117 and 318 +/- 83 mmol O-2 m(-2) day(-1) for GPP and -325 +/- 120 and -306 +/- 66 mmol O-2 m(-2) day(-1) for R, respectively. These results indicate that during most of the summer, southern Green Bay tends towards net autotrophy with production on average exceeding respiration by 9 +/- 6% (SD). Cumulative net ecosystem production from June through September was estimated to be 3.2 and 13 mol C m(-2) in 2014 (118 days) and 2015 (113 days), respectively, and is sufficient to drive a significant portion of benthic respiration, the principal cause of seasonal bottom water hypoxia. (C) 2016 The Authors. Published by Elsevier B.V. on behalf of International Association for Great lakes Research.
机译:量化初级生产和呼吸速率是了解生态系统功能的基础。这项研究利用高频时间序列,基于浮标的传感器数据来估算2012-2015年夏季密歇根湖南部绿湾的每日初级生产和呼吸速率。在夏季的大部分时间里,通常通过30分钟的时间间隔从GLOS浮标(NOAA 45014)传感器阵列观察到上表层水中溶解氧浓度的高度连贯diel振荡。根据风速产生的气体交换系数和饱和状态对海气交换进行校正,并结合混合深度,即可计算出白天的净氧气产量和夜间呼吸量。在13 m的水深处以1 m的间隔观察热敏电阻串,发现热分层的发生,正辛啉的发展以及偶发的混合事件。在2014年和2015年夏季,传感器记录几乎连续存在,据估计初级总生产(GPP)和呼吸(R)为342 +/- 117和318 +/- 83 mmol O-2 m(- 2)GPP的day(-1)和R的-325 +/- 120和-306 +/- 66 mmol O-2 m(-2)day(-1)。这些结果表明,在夏季的大部分时间里,南部绿湾趋向于净自养,平均产量超过呼吸9 +/- 6%(SD)。据估计,2014年(118天)和2015年(113天)的6月至9月累计净生态系统产量分别为3.2和13 mol C m(-2),足以推动大部分底栖呼吸作用。季节性底水缺氧的主要原因。 (C)2016作者。由Elsevier B.V.代表国际大湖研究协会出版。

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