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Spatial and temporal variability and drivers of net ecosystem metabolism in western Gulf of Mexico estuaries

机译:墨西哥湾西部河口的净生态系统新陈代谢的时空变异和驱动力

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摘要

Net ecosystem metabolism (NEM) is becoming a commonly used ecological indicator of estuarine ecosystem metabolic rates. Estuarine ecosystem processes are spatially and temporally variable, but the corresponding variability in NEM has not been properly assessed. Spatial and temporal variability in NEM was assessed in four western Gulf of Mexico shallow water estuaries. NEM was calculated from high-frequency dissolved oxygen measurements. Interbay, intrabay, and water column spatial scales were assessed for NEM, gross primary production (GPP), and respiration (R) rate variability. Seasonal, monthly, and daily temporal scales in NEM, GPP, and R were also assessed. Environmental conditions were then compared to NEM to determine which factors were correlated with each temporal and spatial scale. There was significant NEM spatial variability on interbay, intrabay, and water column spatial scales. Significant spatial variability was ephemeral, so it was difficult to ascertain which environmental conditions were most influential at each spatial scale. Significant temporal variability in NEM on seasonal, monthly, and daily scales was found and it was correlated to temperature, salinity, and freshwater inflow, respectively. NEM correlated strongly with dissolved oxygen, temperature, and salinity, but the relationships where different in each bay. The dynamics of NEM on daily scales indicate that freshwater inflow events may be the main driver of NEM in the semiarid estuaries studied. The variable nature of NEM found here is further evidence that it is not valid to use single station monitoring deployments for assessment of whole estuarine ecosystem metabolic rates in large ecosystems. The relationship between NEM and temperature, salinity, and freshwater inflow events could drive predictive models assessing the potential influence of projected climate change and watershed development scenarios on estuarine metabolic rates.
机译:净生态系统代谢(NEM)正成为河口生态系统代谢率的常用生态指标。河口的生态系统过程在空间和时间上都是可变的,但尚未正确评估NEM中相应的可变性。在墨西哥湾西部四个浅水河口评估了NEM的时空变化。 NEM由高频溶解氧测量值计算得出。评估了海湾间,海湾内和水柱空间尺度的NEM,初级生产总值(GPP)和呼吸(R)速率变异性。还评估了NEM,GPP和R中的季节性,每月和每日时间尺度。然后将环境条件与NEM进行比较,以确定哪些因素与每个时空尺度相关。在海湾间,海湾内和水柱空间尺度上,NEM的空间变异性很大。显着的空间变异性是短暂的,因此很难确定在每个空间尺度上哪个环境条件影响最大。发现NEM在季节,月度和日尺度上具有显着的时间变异性,并且分别与温度,盐度和淡水流入量相关。 NEM与溶解氧,温度和盐度密切相关,但每个海湾之间的关系不同。 NEM的日尺度动态表明,淡水流入事件可能是研究的半干旱河口中NEM的主要驱动力。这里发现的NEM的可变性质进一步证明,使用单站监视部署来评估大型生态系统中整个河口生态系统的新陈代谢率是无效的。 NEM与温度,盐度和淡水流入事件之间的关系可以驱动预测性模型,以评估预计的气候变化和流域发展情景对河口新陈代谢率的潜在影响。

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  • 来源
    《Estuaries and Coasts》 |2007年第1期|137-153|共17页
  • 作者单位

    University of Texas Marine Science Institute 750 Channel View Drive 78373 Port Aransas Texas;

    University of Texas Marine Science Institute 750 Channel View Drive 78373 Port Aransas Texas;

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  • 正文语种 eng
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