遇见数据集

Data from: A new theory of plant-microbe nutrient competition resolves inconsistencies between observations and model predictions

收藏
DataONE2016-12-14 更新2024-06-26 收录
数据链接:
官方服务:

资源简介:

Terrestrial plants assimilate anthropogenic CO2 through photosynthesis and synthesizing new tissues. However, sustaining these processes requires plants to compete with microbes for soil nutrients, which therefore calls for an appropriate understanding and modeling of nutrient competition mechanisms in Earth System Models (ESMs). Here, we survey existing plant-microbe competition theories and their implementations in Earth System Models (ESMs). We found no consensus regarding the representation of nutrient competition and that observational and theoretical support for current implementations are weak. To reconcile this situation, we applied the Equilibrium Chemistry Approximation (ECA) theory to plant-microbe nitrogen competition in a detailed grassland 15N tracer study and found that competition theories in current ESMs fail to capture observed patterns and the ECA prediction simplifies the complex nature of nutrient competition and quantitatively matches the 15N observations. Since plant carbon dynamics are strongly modulated by soil nutrient acquisition, we conclude that (1) predicted nutrient limitation effects on terrestrial carbon accumulation by existing ESMs may be biased and (2) our ECA-based approach may improve predictions by mechanistically representing plant-microbe nutrient competition.

陆地植物通过光合作用同化人为源二氧化碳,并合成新生组织。然而,维持这些生理过程需要植物与微生物竞争土壤养分,因此有必要在地球系统模型(Earth System Models,以下简称ESMs)中恰当理解并建模养分竞争机制。本研究梳理了现有植物-微生物竞争理论及其在ESMs中的实现方案。研究发现,当前对于养分竞争的表征尚未形成统一共识,且现有建模方案的观测与理论支撑均较为薄弱。为解决这一问题,我们将平衡化学近似(Equilibrium Chemistry Approximation,ECA)理论应用于一项详细的草地15N示踪试验中的植物-微生物氮竞争研究,结果发现:当前ESMs中的竞争理论无法复现观测到的模式,而ECA预测模型则简化了养分竞争的复杂本质,并在定量层面与15N观测结果相匹配。鉴于植物碳动态强烈受土壤养分获取过程调控,我们得出如下结论:(1)现有ESMs对陆地碳累积的养分限制效应预测可能存在偏差;(2)我们基于ECA的建模方法通过机械性地表征植物-微生物养分竞争机制,有望提升预测精度。

创建时间:
2016-12-14
二维码
社区交流群
二维码
科研交流群
商业服务