Anna E. S. Vincent, Jennifer L. Tank, Ursula H. Mahl
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We documented seasonal variation in nitrification rates and identified changes in environmental controls [e.g., stream temperature, NH<sub>4</sub><sup>+</sup>–N and dissolved organic carbon (DOC) availability, chlorophyll-<i>a</i>]. Nitrification rates were highest in spring (54.4 ± 12.7 mg N m<sup>−2</sup> d<sup>−1</sup>; p = 0.02), coinciding with elevated NH<sub>4</sub><sup>+</sup>–N and higher stream temperatures relative to winter (p < 0.001). Rates were lowest in autumn (19.9 ± 3.5 mg N m<sup>−2</sup> d<sup>−1</sup>) when organic carbon concentrations peaked (17.2 ± 10.3 mg C L<sup>−1</sup>; p = 0.01). Algal senescence in autumn may allow heterotrophs to outcompete nitrifiers for NH<sub>4</sub><sup>+</sup>–N. However, partial least square regression analyses indicated that sediment organic matter (as %OM) is an important positive predictor of nitrification, suggesting carbon can be an indirect positive control on nitrification. In the context of previous studies, agricultural streams had elevated NH<sub>4</sub><sup>+</sup>–N concentrations, but nitrification rates were comparable to those in less impacted systems. Although complex interactions exist among rates and drivers, rates from this study help expand documentation of nitrification in agricultural streams, and provide insight into temporal variation and dominant controls.</p></div>","PeriodicalId":8901,"journal":{"name":"Biogeochemistry","volume":"168 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10533-024-01196-2.pdf","citationCount":"0","resultStr":"{\"title\":\"Seasonal patterns in sediment nitrification rates and their linkages to ammonium cycling in three agricultural streams\",\"authors\":\"Anna E. S. Vincent, Jennifer L. Tank, Ursula H. 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We documented seasonal variation in nitrification rates and identified changes in environmental controls [e.g., stream temperature, NH<sub>4</sub><sup>+</sup>–N and dissolved organic carbon (DOC) availability, chlorophyll-<i>a</i>]. Nitrification rates were highest in spring (54.4 ± 12.7 mg N m<sup>−2</sup> d<sup>−1</sup>; p = 0.02), coinciding with elevated NH<sub>4</sub><sup>+</sup>–N and higher stream temperatures relative to winter (p < 0.001). Rates were lowest in autumn (19.9 ± 3.5 mg N m<sup>−2</sup> d<sup>−1</sup>) when organic carbon concentrations peaked (17.2 ± 10.3 mg C L<sup>−1</sup>; p = 0.01). Algal senescence in autumn may allow heterotrophs to outcompete nitrifiers for NH<sub>4</sub><sup>+</sup>–N. However, partial least square regression analyses indicated that sediment organic matter (as %OM) is an important positive predictor of nitrification, suggesting carbon can be an indirect positive control on nitrification. In the context of previous studies, agricultural streams had elevated NH<sub>4</sub><sup>+</sup>–N concentrations, but nitrification rates were comparable to those in less impacted systems. 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引用次数: 0
摘要
硝化作用,或氨(NH4+ -N)向硝酸盐的微生物转化,受NH4+ -N和溶解氧有效性、水温和碳氮比的影响。敞檐农业溪流从周围景观和富有机质沉积物的矿化中吸收过量的无机氮(N),这些N输入的形式和时间全年都在变化。与森林河流相比,农业河流中硝化率的季节性没有很好的记录。我们对河流沉积物进行了硝化分析,以估计2020年夏季至2021年春季三条农业河流的季节性速率。我们记录了硝化速率的季节变化,并确定了环境控制的变化[例如,溪流温度,NH4+ -N和溶解有机碳(DOC)有效性,叶绿素-a]。春季硝化速率最高(54.4±12.7 mg N m−2 d−1);p = 0.02),与冬季相比,NH4+ -N升高和河流温度升高相吻合(p < 0.001)。秋季有机碳浓度最高(17.2±10.3 mg C L−1),死亡率最低(19.9±3.5 mg N m−2 d−1);p = 0.01)。秋季藻类的衰老可能使异养生物与硝化生物竞争NH4+ -N。然而,偏最小二乘回归分析表明,沉积物有机质(如%OM)是硝化作用的重要正预测因子,表明碳可能是硝化作用的间接正控制因子。在之前的研究中,农业溪流的NH4+ -N浓度升高,但硝化速率与受影响较小的系统相当。尽管速率和驱动因素之间存在复杂的相互作用,但本研究的速率有助于扩展农业溪流中硝化作用的文献,并提供对时间变化和优势控制的见解。
Seasonal patterns in sediment nitrification rates and their linkages to ammonium cycling in three agricultural streams
Nitrification, or the microbial transformation of ammonium (NH4+–N) to nitrate, is influenced by NH4+–N and dissolved oxygen availability, water temperature, and carbon-to-nitrogen ratios. Open-canopy agricultural streams receive excess inorganic nitrogen (N) from the surrounding landscape and the mineralization of organic-rich sediments, and the form and timing of these N inputs varies throughout the year. Compared to forested streams, the seasonality of nitrification rates in agricultural streams are not well documented. We conducted nitrification assays on stream sediments to estimate seasonal rates in three agricultural streams from summer 2020 to spring 2021. We documented seasonal variation in nitrification rates and identified changes in environmental controls [e.g., stream temperature, NH4+–N and dissolved organic carbon (DOC) availability, chlorophyll-a]. Nitrification rates were highest in spring (54.4 ± 12.7 mg N m−2 d−1; p = 0.02), coinciding with elevated NH4+–N and higher stream temperatures relative to winter (p < 0.001). Rates were lowest in autumn (19.9 ± 3.5 mg N m−2 d−1) when organic carbon concentrations peaked (17.2 ± 10.3 mg C L−1; p = 0.01). Algal senescence in autumn may allow heterotrophs to outcompete nitrifiers for NH4+–N. However, partial least square regression analyses indicated that sediment organic matter (as %OM) is an important positive predictor of nitrification, suggesting carbon can be an indirect positive control on nitrification. In the context of previous studies, agricultural streams had elevated NH4+–N concentrations, but nitrification rates were comparable to those in less impacted systems. Although complex interactions exist among rates and drivers, rates from this study help expand documentation of nitrification in agricultural streams, and provide insight into temporal variation and dominant controls.
期刊介绍:
Biogeochemistry publishes original and synthetic papers dealing with biotic controls on the chemistry of the environment, or with the geochemical control of the structure and function of ecosystems. Cycles are considered, either of individual elements or of specific classes of natural or anthropogenic compounds in ecosystems. Particular emphasis is given to coupled interactions of element cycles. The journal spans from the molecular to global scales to elucidate the mechanisms driving patterns in biogeochemical cycles through space and time. Studies on both natural and artificial ecosystems are published when they contribute to a general understanding of biogeochemistry.