Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling
Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling
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DOI：
10.1088/1748-9326/aaeae7
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发表时间：
2018-12
影响因子：
6.7
通讯作者：
S. Vicca;B. Stocker;S. Reed;W. Wieder;M. Bahn;P. Fay;I. Janssens;H. Lambers;J. Peñuelas
中科院分区：
文献类型：
--
作者：
S. Vicca;B. Stocker;S. Reed;W. Wieder;M. Bahn;P. Fay;I. Janssens;H. Lambers;J. Peñuelas
广泛的研究表明，养分的可利用性强烈影响陆地碳（C）循环，并塑造生态系统对环境变化的反应，从而形成陆地对气候的反馈。尽管如此，我们对营养控制的理解仍然远未完成，而且量化不足，至少部分原因是缺乏区域到全球范围的信息，可比和可访问的数据集。多地点网络的研究基础设施不断增加，提供了关于碳通量和碳储量的宝贵数据，并监测其对全球环境变化的反应，测量对实验性处理的反应。因此，这些网络提供了一个机会，提高我们的理解C-养分循环的相互作用和我们的能力来模拟它们。然而，有关养分循环如何与观察到的C循环模式相互作用的连贯信息仍然普遍缺乏。在这里，我们认为，补充现有的碳循环测量监测和实验站点的数据特征养分供应将大大提高他们的权力，并将提高我们的能力，预测未来的轨迹陆地碳循环和气候。因此，我们提出了一套互补的测量，是相对容易进行常规在任何网站或实验，并结合C循环观测，可以提供一个强大的表征跨网站的养分供应的影响。此外，我们还讨论了不同的可观察变量的力量，为模型的制定提供信息，并约束它们的预测。大多数广泛可用的养分可得性测量往往与当前的建模需求不一致。这突出了促进经验和建模社区之间的互动，以确定未来的研究重点的重要性。
A wide range of research shows that nutrient availability strongly influences terrestrial carbon (C) cycling and shapes ecosystem responses to environmental changes and hence terrestrial feedbacks to climate. Nonetheless, our understanding of nutrient controls remains far from complete and poorly quantified, at least partly due to a lack of informative, comparable, and accessible datasets at regional-to-global scales. A growing research infrastructure of multi-site networks are providing valuable data on C fluxes and stocks and are monitoring their responses to global environmental change and measuring responses to experimental treatments. These networks thus provide an opportunity for improving our understanding of C-nutrient cycle interactions and our ability to model them. However, coherent information on how nutrient cycling interacts with observed C cycle patterns is still generally lacking. Here, we argue that complementing available C-cycle measurements from monitoring and experimental sites with data characterizing nutrient availability will greatly enhance their power and will improve our capacity to forecast future trajectories of terrestrial C cycling and climate. Therefore, we propose a set of complementary measurements that are relatively easy to conduct routinely at any site or experiment and that, in combination with C cycle observations, can provide a robust characterization of the effects of nutrient availability across sites. In addition, we discuss the power of different observable variables for informing the formulation of models and constraining their predictions. Most widely available measurements of nutrient availability often do not align well with current modelling needs. This highlights the importance to foster the interaction between the empirical and modelling communities for setting future research priorities.