W. Szafer Institute of Botany, Polish Academy of Sciences, Lubicz 46, 31-512 Krakow, Poland; Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland.
Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, UK.
Trends Plant Sci. 2021 Mar;26(3):210-219. doi: 10.1016/j.tplants.2020.10.002. Epub 2020 Nov 7.
There have been vociferous calls for 'tree-centered' vegetation models to refine predictions of forest carbon (C) cycling. Unfortunately, our global survey at flux-tower sites indicates insufficient empirical data support for this much-needed model development. We urge for a new generation of studies across large environmental gradients that strategically pair long-term ecosystem monitoring with manipulative experiments on mature trees. For this, we outline a versatile experimental framework to build cross-scale data archives of C uptake and allocation to structural, non-structural, and respiratory sinks. Community-wide efforts and discussions are needed to implement this framework, especially in hitherto underrepresented tropical forests. Global coordination and realistic priorities for data collection will thereby be key to achieve and maintain adequate empirical support for tree-centered vegetation modeling.
人们强烈呼吁采用“以树为中心”的植被模型来改进森林碳(C)循环的预测。遗憾的是,我们在通量塔站点的全球调查表明,缺乏足够的经验数据来支持这种急需的模型开发。我们敦促开展新一代的研究,跨越大型环境梯度,战略性地将长期生态系统监测与对成熟树木的操纵实验相结合。为此,我们概述了一个通用的实验框架,以构建 C 吸收和分配到结构、非结构和呼吸汇的跨尺度数据档案。需要开展社区范围内的努力和讨论来实施这个框架,特别是在迄今代表性不足的热带森林中。全球协调和收集数据的现实优先事项将是实现和维持对以树为中心的植被建模的充分经验支持的关键。