Högberg Peter
Section of Soil Science, Department of Forest Ecology, Swedish University of Agricultural Sciences, S-901 83 Umeå, Sweden.
New Phytol. 1997 Oct;137(2):179-203. doi: 10.1046/j.1469-8137.1997.00808.x.
Equilibrium and kinetic isotope fractionations during incomplete reactions result in minute differences in the ratio between the two stable X isotopes, N and N, in various N pools. In ecosystems such variations (usually expressed in per mil [δ N] deviations from the standard atmospheric N ) depend on isotopic signatures of inputs and outputs, the input-output balance, N transformations and their specific isotope effects, and compartmentation of N within the system. Products along a sequence of reactions, e.g. the N mineralization-N uptake pathway, should, if fractionation factors were equal for the different reactions, become progressively depleted. However, fractionation factors van. For example, because nitrification discriminates against N in the substrate more than does N mineralization, NH can become isotopically heavier than the organic N from which it is derived. Levels of isotopic enrichment depend dynamically on the stoichiometry of reactions, as well as on specific abiotic and biotic conditions. Thus, the δ N of a specific N pool is not a constant, and N of a N compound added to the system is not a conservative, unchanging tracer. This fact, together with analytical problems of measuring N in small and dynamic pools of N in the soil-plant system, and the complexity of the X cycle itself (for instance the abundance of reversible reactions), limit the possibilities of making inferences based on observations of N abundance in one or a few pools of N in a system. Nevertheless, measurements of δ N might offer the advantage of giving insights into the N cycle without disturbing the system by adding N tracer. Such attempts require, however, that the complex factors affecting N in plants be taken into account, viz. (i) the source(s) of N (soil, precipitation, NO , NH , N -fixation), (ii) the depth(s) in soil from which N is taken up, (iii) the form(s) of soil-N used (organic N, NH , NO ), (iv) influences of mycorrhizal symbioses and fractionations during and after N uptake by plants, and (v) interactions between these factors and plant phenology. Because of this complexity, data on δ N can only be used alone when certain requirements are met, e.g. when a clearly discrete N source in terms of amount and isotopic signature is studied. For example, it is recommended that N in non-N -fixing species should differ more than 5% from N derived by N -fixation, and that several non-N -fixing references are used, when data on δ N are used to estimate N -fixation in poorly described ecosystems. As well as giving information on N source effects, δ N can give insights into N cycle rates. For example, high levels of N deposition onto previously N-limited systems leads to increased nitrification, which produces N-enriched NH and N-depleted NO . As many forest plants prefer NH they become enriched in N in such circumstances. This change in plant N will subsequently also occur in the soil surface horizon after litter-fall, and might be a useful indicator of N saturation, especially since there is usually an increase in N with depth in soils of N-limited forests. Generally, interpretation of N measurements requires additional independent data and modelling, and benefits from a controlled experimental setting. Modelling will be greatly assisted by the development of methods to measure the N of small dynamic pools of N in soils. Direct comparisons with parallel low tracer level N studies will be necessary to further develop the interpretation of variations in N in soil-plant systems. Another promising approach is to study ratios of N: N together with other pairs of stable isotopes, e.g. C: C or O: O, in the same ion or molecules. This approach can help to tackle the challenge of distinguishing isotopic source effects from fractionations within the system studied. CONTENTS Summary 179 I. Introduction 180 II. Units, causes of isotope effects, stoichiometry, modelling 181 III. N dynamics and variations in N abundance in soil-plant systems 183 IV. Applications 189 V. Conclusions and suggestions for future research 197 Acknowledgements 198 References 198.
不完全反应过程中的平衡和动力学同位素分馏,会导致各种氮库中两种稳定氮同位素(¹⁵N和¹⁴N)的比例出现细微差异。在生态系统中,这种变化(通常以相对于标准大气氮的千分比[δ¹⁵N]偏差表示)取决于输入和输出的同位素特征、输入 - 输出平衡、氮转化及其特定的同位素效应,以及系统内氮的分隔情况。沿着一系列反应的产物,例如氮矿化 - 氮吸收途径,如果不同反应的分馏因子相等,应该会逐渐贫化。然而,分馏因子是变化的。例如,由于硝化作用比对底物中¹⁵N的歧视程度大于氮矿化作用,铵(NH₄⁺)在同位素上可能比其来源的有机氮更重。同位素富集水平动态地取决于反应的化学计量,以及特定的非生物和生物条件。因此,特定氮库的δ¹⁵N不是一个常数,添加到系统中的氮化合物的¹⁵N也不是一个保守的、不变的示踪剂。这一事实,加上在土壤 - 植物系统中测量小的动态氮库中¹⁵N的分析问题,以及氮循环本身的复杂性(例如大量可逆反应),限制了基于对系统中一个或几个氮库中¹⁵N丰度的观测进行推断的可能性。尽管如此,δ¹⁵N的测量可能具有在不通过添加¹⁵N示踪剂干扰系统的情况下深入了解氮循环的优势。然而,此类尝试需要考虑影响植物中¹⁵N的复杂因素,即:(i)氮的来源(土壤、降水、NO₃⁻、NH₄⁺、固氮作用),(ii)植物吸收氮的土壤深度,(iii)所利用的土壤氮形态(有机氮、NH₄⁺、NO₃⁻),(iv)菌根共生以及植物吸收氮期间和之后的分馏作用的影响,以及(v)这些因素与植物物候之间的相互作用。由于这种复杂性,只有在满足某些要求时,例如研究的是数量和同位素特征明确离散的氮源时,¹⁵N数据才能单独使用。例如,建议在使用δ¹⁵N数据估计描述不足的生态系统中的固氮作用时,非固氮物种中的氮与固氮作用衍生的氮的差异应超过5%,并且使用多个非固氮参考物。除了提供有关氮源效应的信息外,δ¹⁵N还可以深入了解氮循环速率。例如,向以前受氮限制的系统大量沉积氮会导致硝化作用增加,从而产生富集¹⁵N的铵和贫化¹⁵N的硝酸盐。由于许多森林植物更喜欢铵,在这种情况下它们会在¹⁵N中富集。凋落物落到土壤表面后,植物¹⁵N的这种变化随后也会出现在土壤表层,并且可能是氮饱和的有用指标,特别是因为在受氮限制的森林土壤中通常¹⁵N会随深度增加。一般来说,¹⁵N测量的解释需要额外的独立数据和建模,并且受益于受控的实验设置。测量土壤中动态小氮库中¹⁵N的方法的发展将极大地有助于建模。为了进一步发展对土壤 - 植物系统中¹⁵N变化的解释,有必要与平行的低示踪剂水平¹⁵N研究进行直接比较。另一种有前景的方法是在同一离子或分子中研究¹⁵N:¹⁴N与其他稳定同位素对(例如¹³C:¹²C或¹⁸O:¹⁶O)的比率。这种方法有助于应对区分同位素源效应与所研究系统内分馏作用的挑战。目录 摘要179 一、引言180 二、单位、同位素效应的原因、化学计量、建模181 三、土壤 - 植物系统中的氮动态和¹⁵N丰度变化183 四、应用189 五、结论和对未来研究 的建议197 致谢198 参考文献198。