Reach-scale river metabolism across contrasting sub-catchment geologies: Effect of light and hydrology.

Reach-scale river metabolism across contrasting sub-catchment geologies: Effect of light and hydrology.
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DOI:
10.1002/lno.10619
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发表时间:
2017-11
影响因子:
4.5
通讯作者:
Glud RN
Glud RN
中科院分区:
地球科学1区
文献类型:
--
作者:
Rovelli L;Attard KM;Binley A;Heppell CM;Stahl H;Trimmer M;Glud RN

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我们研究了不同地质子流域(英国埃文河上游的粘土、绿砂和白垩)源头河段尺度(∼ 150 m)的河流内新陈代谢的季节性动态。底栖代谢活动通过水生涡流协方差进行量化,而水柱活动通过瓶子孵化进行评估。河段的季节性动态对于这三种地质类型是特定的。春季期间,所有河段均为净自养,粘土河段的速率高达 290 mmol C m−2 d−1。在其余季节,粘土河段和格林沙河段为净异养,秋季耗氧量峰值为 206 mmol m−2 d−1,而白垩河段仅在冬季为净异养。总体而言,仅水柱就贡献了所有河段年呼吸和初级生产力的约 25%。跨季节和范围的净生态系统代谢(NEM)与增加流光可用性呈一般线性关系。子流域特定 NEM 被证明与当地水文连通性线性相关,量化为基流与河流流量之间的比率,并以平均 9 d 的时间尺度表示。这个时间尺度显然代表了河段内碳周转的水文印记的平均周期。将一般光响应与子流域特定基流比相结合,为预测河段尺度的 NEM 提供了稳健的函数关系。本研究提出的新方法可以帮助促进河流代谢的空间和时间升级,这可能适用于更广泛的流域。
We investigated the seasonal dynamics of in‐stream metabolism at the reach scale (∼ 150 m) of headwaters across contrasting geological sub‐catchments: clay, Greensand, and Chalk of the upper River Avon (UK). Benthic metabolic activity was quantified by aquatic eddy co‐variance while water column activity was assessed by bottle incubations. Seasonal dynamics across reaches were specific for the three types of geologies. During the spring, all reaches were net autotrophic, with rates of up to 290 mmol C m−2 d−1 in the clay reach. During the remaining seasons, the clay and Greensand reaches were net heterotrophic, with peak oxygen consumption of 206 mmol m−2 d−1 during the autumn, while the Chalk reach was net heterotrophic only in winter. Overall, the water column alone still contributed to ∼ 25% of the annual respiration and primary production in all reaches. Net ecosystem metabolism (NEM) across seasons and reaches followed a general linear relationship with increasing stream light availability. Sub‐catchment specific NEM proved to be linearly related to the local hydrological connectivity, quantified as the ratio between base flow and stream discharge, and expressed on a timescale of 9 d on average. This timescale apparently represents the average period of hydrological imprint for carbon turnover within the reaches. Combining a general light response and sub‐catchment specific base flow ratio provided a robust functional relationship for predicting NEM at the reach scale. The novel approach proposed in this study can help facilitate spatial and temporal upscaling of riverine metabolism that may be applicable to a broader spectrum of catchments.
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