Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027264 |
Bayesian hierarchical modeling of nitrate concentration in a forest stream affected by large‐scale forest dieback | |
Hoseung Jung; Cornelius Senf; Burkhard Beudert; Tobias Krueger | |
2021-01-16 | |
发表期刊 | Water Resources Research
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出版年 | 2021 |
英文摘要 | The ecosystem function of vegetation to attenuate export of nutrients is of substantial importance for securing water quality. This ecosystem function is at risk of deterioration due to an increasing risk of large‐scale forest dieback under climate change. The present study explores the response of the nitrogen (N) cycle of a forest catchment in the Bavarian Forest National Park, Germany, in the face of a severe bark beetle (Ips typographus Linnaeus) outbreak and resulting large‐scale forest dieback using top‐down statistical‐mechanistic modeling. Outbreaks of bark beetle killed the dominant tree species Norway spruce (Picea abies (L.) H.Karst.) in stands accounting for 55% of the catchment area. A Bayesian hierarchical model that predicts daily stream NO3 concentration (C) over three decades with discharge (Q) and temperature (T) (C‐Q‐T relationship) outperformed alternative statistical models. A catchment model was subsequently developed to explain the C‐Q‐T relationship in top‐down fashion. Annually‐varying parameter estimates provide mechanistic interpretations of the catchment processes. Release of NO3 from decaying litter after the dieback was tracked by an increase of the nutrient input parameter cs0. The slope of C‐T relation was near zero during this period, suggesting that the nutrient release was beyond the regulating capacity of the vegetation and soils. Within a decade after the dieback, the released N was flushed out and nutrient retention capacity was restored with the regrowth of the vegetation. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/311334 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Hoseung Jung,Cornelius Senf,Burkhard Beudert,等. Bayesian hierarchical modeling of nitrate concentration in a forest stream affected by large‐scale forest dieback[J]. Water Resources Research,2021. |
APA | Hoseung Jung,Cornelius Senf,Burkhard Beudert,&Tobias Krueger.(2021).Bayesian hierarchical modeling of nitrate concentration in a forest stream affected by large‐scale forest dieback.Water Resources Research. |
MLA | Hoseung Jung,et al."Bayesian hierarchical modeling of nitrate concentration in a forest stream affected by large‐scale forest dieback".Water Resources Research (2021). |
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