Coupling Concentration‐ and Process‐Discharge Relationships Integrates Water Chemistry and Metabolism in Streams
Coupling Concentration‐ and Process‐Discharge Relationships Integrates Water Chemistry and Metabolism in Streams
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耦合浓度和过程流量关系整合了溪流中的水化学和代谢
DOI：
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发表时间：
2019
影响因子：
5.4
通讯作者：
E. Hotchkiss
中科院分区：
文献类型：
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作者：
Brynn M. O’Donnell;E. Hotchkiss
河流生态系统过程（例如新陈代谢）受到流量强度的动态影响。因此，如果不将生态系统过程与水质相结合，我们就会错过开发框架来了解对水流变化的代谢反应的机会。流动同时影响物质运输和物质转化的生物机会。结合生态水文学和河流生态学的优势，为了了解流量变化如何改变生态系统过程，我们分析了 5 年多的水质和河流代谢数据。我们创建了分段的过程-放电（P-Q）关系来检查新陈代谢率在放电过程中如何变化，并将它们与浓度-放电（C-Q）关系进行比较，以探索放电对过程和物理化学参数的动态影响。在分段的P-Q关系中，我们发现生态系统呼吸（ER）、总初级生产（GPP）和净生态系统生产（NEP）的行为在高流量和低流量时有所不同，具有不同程度的统计显着性，这表明在变化的流量中可能存在不同的代谢反应。 GPP 随着排放量的增加而下降。 ER 速率最初随着流量的增加而下降，但随后在较高流量下变得不变。 NEP 反映了 ER 和 GPP 之间的不同趋势，因为 NEP 与 Q 的关系在流量较低时平坦，在流量较高时下降。相关的物理化学参数和生态系统过程，例如 pH 值和 NEP，反映了对排放的反应。对流量、水质和新陈代谢的耦合分析可以更全面地了解相互关联的生态系统过程，从而更好地了解生态系统对流量中发生的物理和化学变化的响应。
Stream ecosystem processes, such as metabolism, are dynamically impacted by flow intensity. Therefore, without integrating ecosystem processes with water quality, we miss opportunities to develop frameworks to understand metabolic responses to changing flow. Flow simultaneously affects the material transport and biological opportunities for material transformation. Combining the strengths of ecohydrology and stream ecology to understand how flow variation alters ecosystem processes, we analyzed more than 5 years of water quality and stream metabolism data. We created segmented process‐discharge (P‐Q) relationships to examine how metabolism rates vary across discharge and compared them to concentration‐discharge (C‐Q) relationships to explore the dynamic effects of discharge on processes and physicochemical parameters. Within the segmented P‐Q relationships, we found the behavior of ecosystem respiration (ER), gross primary production (GPP), and net ecosystem production (NEP) to be different at high and low flows with varying degrees of statistical significance, demonstrating the potential for divergent metabolic responses across changing flows. GPP declined with increasing discharge. The rate of ER declined with discharge initially but then became unchanging at higher flows. NEP reflected the divergent trends between ER and GPP, as the relationship of NEP to Q was flat at lower discharge and declined at higher flows. Interrelated physicochemical parameters and ecosystem processes, such as pH and NEP, had mirrored responses to discharge. Coupling analyses of flow, water quality, and metabolism offers a more complete picture of interrelated ecosystem processes, allowing for a better understanding of ecosystem response to the physical and chemical changes that occur across flows.
影响因子：
5.2
作者：
J. Zarnetske;M. Bouda;Benjamin W. Abbott;J. Saiers;P. Raymond
通讯作者：
J. Zarnetske;M. Bouda;Benjamin W. Abbott;J. Saiers;P. Raymond
影响因子：
4
作者：
W. Wollheim;Susana Bernal;Douglas A. Burns;J. Czuba;Charles T. Driscoll;Amy T. Hansen;Robert T. Hensley;Jacob D. Hosen;Shreeram Inamdar;S. Kaushal;L. Koenig;YueHan Lu;A. Marzadri;Peter A. Raymond;Durelle T. Scott;R. J. Stewart;P. Vidon;Ellen Wohl
通讯作者：
W. Wollheim;Susana Bernal;Douglas A. Burns;J. Czuba;Charles T. Driscoll;Amy T. Hansen;Robert T. Hensley;Jacob D. Hosen;Shreeram Inamdar;S. Kaushal;L. Koenig;YueHan Lu;A. Marzadri;Peter A. Raymond;Durelle T. Scott;R. J. Stewart;P. Vidon;Ellen Wohl