Purpose of Review

We summarize the general structure of modern terrestrial ecosystem models and investigate how advances in trait-based modeling approaches help to better constrain predictions for ecosystem sensitivity to global change.

Recent Findings

In ecosystem models, empirical parameters are increasingly being replaced with plant physiological trait-based parameters, which can be directly measured in the field. The needs to predict long-term terrestrial ecosystem dynamics under climate change have spurred novel model developments including the representation of (i) vegetation processes across the critical zone, (ii) wood and belowground ecophysiology, and (iii) the effects of physiological trait acclimation.

Summary

Trait-based modeling of terrestrial ecosystems allows for the direct integration of measured plant ecophysiology with model processes, increasing the potential to constrain uncertainty and improve predictions under novel climate regimes. However, such increased model complexity requires careful model design, standardized intercomparisons, and benchmarking for model responses to both climate extremes and long-term trends.

中文翻译：

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基于特征的陆地生态系统建模：全球变化下的进展和挑战

审查目的

我们总结了现代陆地生态系统模型的一般结构，并研究了基于特征的建模方法的进步如何有助于更好地限制生态系统对全球变化敏感性的预测。

最近的发现

在生态系统模型中，经验参数越来越多地被基于植物生理性状的参数所取代，这些参数可以在现场直接测量。预测气候变化下长期陆地生态系统动态的需求刺激了新模型的开发，包括表示（i）整个关键区域的植被过程，（ii）木材和地下生态生理学，以及（iii）生理性状适应的影响。

概括

基于性状的陆地生态系统建模可以将测量的植物生态生理学与模型过程直接整合，从而增加了限制不确定性并改进新气候状况下预测的潜力。然而，这种增加的模型复杂性需要仔细的模型设计、标准化的比较以及模型对极端气候和长期趋势的响应的基准测试。