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Predicting Dissolved Inorganic Nitrogen Leaching In European Forests Using Two Independent Databases

机译:使用两个独立的数据库预测欧洲森林中溶解性无机氮的淋溶

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Regional-scale databases can be particularly useful for identifying relationships between dissolved inorganic nitrogen (N) leaching in forests and environmental drivers, which in turn allow an assessment of the risk of ecosystem damage, such as forest acidification and eutrophication of downstream water bodies. However, detecting the 'signal' of a significant correlate to N leaching against a background of wide variability in other factors requires a large number of sites, and the validation of models developed requires a similarly large number of independent sites. Here we use two large and fully independent databases of forest ecosystems across Europe to develop and validate indicators of N saturation and leaching. One database was used for model development and the other for validating these models. Among 35 variables considered, the most significant indicators of N leaching in the model development database were: the flux of dissolved inorganic N in deposition, mean annual temperature, mean altitude, the site drainage (plot vs catchment), needle- and litter-N concentration, organic horizon C:N ratio, and subsoil pH. Altitude was not a consistent predictor (it was significant in the development database but not in the validation database), and needle and litter N concentration, plot vs catchment, and subsoil pH all showed high intercorrelation with N deposition and so were not significant in models already including N deposition. The most consistent and useful indicators of N leaching were throughfall N deposition, organic horizon C:N ratio and mean annual temperature. Sites receiving low levels of N deposition (<8 kg N ha~(-1) y~(-1)) showed very low output fluxes of N and were simulated separately from more polluted forests. In general, the models successfully predicted N leaching (mean of ±5 kg N ha~(-1) y~(-1) between observed and predicted) from forests at early to intermediate stages of nitrogen saturation but not from nitrogen-saturated sites. Thus, simple relationships developed from combining (1) external drivers (deposition, temperature) and (2) site conditions (nitrogen status of soils) can successfully estimate nitrogen leaching from forests that have not yet been highly damaged by N deposition.
机译:区域规模的数据库对于识别森林中溶解的无机氮(N)淋溶与环境驱动因素之间的关系特别有用,从而可以评估生态系统受损的风险,例如森林酸化和下游水体富营养化。然而,在其他因素的广泛变化的背景下,检测与N浸出显着相关的“信号”需要大量站点,而开发模型的验证也需要大量类似的独立站点。在这里,我们使用整个欧洲森林生态系统的两个大型且完全独立的数据库来开发和验证氮饱和度和浸出指标。一个数据库用于模型开发,另一个数据库用于验证这些模型。在考虑的35个变量中,模型开发数据库中最重要的N淋溶指标为:沉积物中溶解性无机N的通量,年平均温度,平均海拔高度,场地排水(地势与集水量),针叶氮和垫料氮浓度,有机层C:N比和下层土壤pH值。海拔不是一个一致的预测因子(在开发数据库中是重要的,但在验证数据库中不是重要的),并且针叶和凋落物中的氮浓度,积水量与汇水量以及底土pH均显示出与氮沉降的高度相关性,因此在模型中不显着已经包括氮沉积。氮淋失的最一致和最有用的指标是全氮沉降量,有机层碳氮比和年平均温度。氮沉降水平低的地区(<8 kg N ha〜(-1)y〜(-1))显示出非常低的氮通量,并与污染较严重的森林分开模拟。通常,该模型成功地预测了氮饱和初期到中期的森林中的氮淋失(平均观测值与预测值之间为±5 kg N ha〜(-1)y〜(-1)),而不是氮饱和位点。因此,通过结合(1)外部驱动因素(沉积,温度)和(2)场地条件(土壤的氮状况)而建立的简单关系可以成功地估算尚未被氮沉降严重破坏的森林中的氮淋失。

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