The influence of burn severity on dissolved organic carbon concentrations across a stream network differs based on seasonal wetness conditions

K. Wampler, K. Bladon, Allison N Myers-Pigg
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Abstract

Abstract. Large, high-severity wildfires in many regions across the globe have increased concerns about their impacts on carbon cycling in watersheds. Altered sources of carbon and changes in catchment hydrology after wildfire can lead to shifts in dissolved organic carbon (DOC) concentrations in streams, which can have negative impacts on aquatic ecosystem health and downstream drinking-water treatment. Despite its importance, post-fire DOC responses remain relatively unconstrained in the literature, and we lack critical knowledge of how burn severity, landscape elements, and climate interact to affect DOC concentrations. To improve our understanding of the impact of burn severity on DOC concentrations, we measured DOC at 129 sites across a stream network extending upstream, within, and downstream of a large, high-severity wildfire in Oregon, USA. We collected samples across the study sub-basin during four distinct seasonal wetness conditions. We used our high-spatial-resolution data to develop spatial stream network (SSN) models to predict DOC across the stream network and to improve our understanding of the controls on DOC concentrations. Spatially, we found no obvious wildfire signal – instead, we observed a pattern of increasing DOC concentrations from the high-elevation headwaters to the sub-basin outlet, while the mainstem maintained consistently low DOC concentrations. This suggests that effects from large wildfires may be “averaged” out at higher stream orders and larger spatial scales. When we grouped DOC concentrations by burn severity group, we observed a significant decrease in the variability of DOC concentrations in the moderate and high burn severity sub-catchments. However, our SSN models were able to predict decreases in DOC concentrations with increases in burn severity across the stream network. Decreases in DOC concentrations were also highly variable across seasonal wetness conditions, with the greatest (−1.40 to −1.64 mg L−1) decrease occurring in the high-severity group during the wetting season. Additionally, our models indicated that in all seasons, baseflow index was more influential in predicting DOC concentrations than burn severity was, indicating that groundwater discharge can obscure the impacts of wildfire in a stream network. Overall, our results suggested that landscape characteristics can regulate the DOC response to wildfire. Moreover, our results also indicated that the seasonal timing of sampling can influence the observed response of DOC concentrations to wildfire.
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烧伤严重程度对整个溪流网络溶解有机碳浓度的影响因季节湿度条件而异
摘要。全球许多地区发生的大规模、严重野火增加了人们对其对流域碳循环影响的担忧。野火后碳源的改变和流域水文的变化会导致溪流中溶解有机碳(DOC)浓度的变化,从而对水生生态系统健康和下游饮用水处理产生负面影响。尽管溶解有机碳非常重要,但文献中对火灾后溶解有机碳的反应仍相对缺乏限制,我们对火灾严重程度、景观要素和气候如何相互作用影响溶解有机碳浓度缺乏关键的了解。为了更好地了解燃烧严重程度对 DOC 浓度的影响,我们在美国俄勒冈州一场大规模、严重程度较高的野火的上游、内部和下游溪流网络的 129 个地点测量了 DOC。我们在四个不同的季节湿度条件下采集了整个研究子流域的样本。我们利用高空间分辨率数据开发了空间溪流网络 (SSN) 模型,以预测整个溪流网络中的 DOC,并加深我们对 DOC 浓度控制因素的了解。在空间上,我们没有发现明显的野火信号--相反,我们观察到从高海拔的源头到子流域出口的 DOC 浓度不断增加,而干流的 DOC 浓度始终保持在较低水平。这表明,大型野火的影响可能会在更高的溪流等级和更大的空间尺度上被 "平均 "掉。当我们将 DOC 浓度按燃烧严重程度分组时,我们观察到中度和高度燃烧严重程度子流域的 DOC 浓度变异性显著下降。不过,我们的 SSN 模型能够预测 DOC 浓度会随着整个溪流网络中燃烧严重程度的增加而降低。DOC 浓度的降低在不同季节的湿度条件下也有很大差异,其中高严重程度组在湿润季节的降幅最大(-1.40 至-1.64 毫克/升-1)。此外,我们的模型表明,在所有季节中,基流指数比燃烧严重程度更能预测 DOC 浓度,这表明地下水排放会掩盖野火对溪流网络的影响。总之,我们的研究结果表明,地貌特征可以调节 DOC 对野火的响应。此外,我们的结果还表明,采样的季节性时间会影响观察到的 DOC 浓度对野火的响应。
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