A new net mineralizable nitrogen assay improves predictions of floristic composition
A new net mineralizable nitrogen assay improves predictions of floristic composition
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一种新的净矿化氮测定改进了植物区系组成的预测
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Z. Frogbrook
中科院分区：
文献类型：
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作者：
E. Rowe;B. Emmett;S. Smart;Z. Frogbrook
问：氮（N）可用性的简单测量是否与生态相关响应相关，即平均Ellenberg N指示值（EN）？地点：英国（英格兰、威尔士和苏格兰）。
研究方法：从英国栖息地分层样品的土壤芯进行了分析，可矿化氮与传统的孵化和一个新的冲洗方法，它使用一个单一的矿物N提取。通过拟合线性混合效应模型，使用赤池信息准则（AIC）作为模型简约性的衡量标准，使用矿化氮和其他土壤测量的平均EN预测进行了评估。
结果如下：可矿化氮测量使用冲洗法描述了一个组件的变化，平均EN是更正交的散装土壤性质，如水分含量，总N/C比和pH值比常规测量的可矿化氮。可矿化氮测量使用冲洗法提高了预测的准确性，只使用散装土壤测量，并出现在最好的两个术语和threeterm模型。
结论：大部分的平均EN的变化可以与土壤N/C比，pH值或水分含量，但可矿化N区分平均EN的变化，是独立的这些散装土壤性质。新的措施将是有用的研究暴露于N的植物，特别是当评估N污染对植物物种组成的影响。
Question: Can a simple measurement of nitrogen (N) availability be related to an ecologically relevant response, i.e. mean Ellenberg N indicator value (EN)? Location: UK (England,Wales and Scotland).
Methods: Soil cores from a stratified sample of UK habitats were analysed for mineralizable N with a conventional incubation and a new flushing method, which uses a single mineral N extraction. Predictions of mean EN using mineralizable N and other soil measurements were assessed by fitting linear mixed-effect models, using the Akaike information criterion (AIC) as a measure of model parsimony.
Results: Mineralizable N measurements using the flushing method described a component of the variation in mean EN that was more orthogonal to bulk soil properties such as moisture content, total N/C ratio and pH than that described by conventionally measured mineralizable N. Mineralizable N as measured using the flushing method improved the accuracy of predictions obtained using only bulk soil measurements, and appeared in the best two-term and threeterm models.
Conclusions: Much of the variation in mean EN can be related to soil N/C ratio, pH or moisture content, but mineralizable N distinguishes variation in mean EN that is independent of these bulk soil properties. The new measure will be useful for studies of the exposure of plants to N, in particular when assessing N pollution effects on plant species composition.