论文标题
陆生碳和干燥的全球自相似缩放
Global self-similar scaling of terrestrial carbon with aridity
论文作者
论文摘要
众所周知，水的供应能够控制植被生长和土壤微生物活性，但干旱如何影响生态系统碳模式。为了对陆生碳库存进行更定量的评估，在这里，我们发现了全球碳库存的显着自相似行为。使用国际调查和遥感数据，我们发现碳库存的关键统计数据（例如，平均值，分位数和标准偏差）往往会通过通用指数随水文制度（即干燥）扩展。结果，当通过相应的水文方案中的平均值进行标准化时，碳库存分布会崩溃到单个曲线上。这样的缩放反映了水文循环和生物地球化学过程之间的强耦合，并可以仅对干旱的函数进行强大的预测。
While it is well known that water availability controls vegetation growth and soil microbial activity, how aridity affects ecosystem carbon patterns is not completely understood. Towards a more quantitative assessment of terrestrial carbon stocks, here we uncover a remarkable self-similar behavior of the global carbon stock. Using international survey and remote sensing data, we find that the key statistics (e.g., mean, quantiles, and standard deviation) of carbon stock tend to scale with the hydrological regime (i.e., aridity) via a universal exponent. As a result, when normalized by its averages in the corresponding hydrological regime, the carbon stock distributions collapse onto a single curve. Such a scaling reflects the strong coupling between hydrological cycle and biogeochemical process and enables robust predictions of carbon stocks as a function of aridity only.
