Laboratoire Evolution et Diversité Biologique, UMR5174, CNRS-Université Paul Sabatier-IRD, Bâtiment 4R1, 118 route de Narbonne, F-31062, Toulouse Cedex 9, France.
AMAP, INRA, IRD, CIRAD, CNRS, University of Montpellier, F-34000, Montpellier, France.
New Phytol. 2019 Aug;223(3):1159-1165. doi: 10.1111/nph.15810. Epub 2019 Apr 12.
Allometry determines how tree shape and function scale with each other, related through size. Allometric relationships help scale processes from the individual to the global scale and constitute a core component of vegetation models. Allometric relationships have been expected to emerge from optimisation theory, yet this does not suitably predict empirical data. Here we argue that the fusion of high-resolution data, such as those derived from airborne laser scanning, with individual-based forest modelling offers insight into how plant size contributes to large-scale biogeochemical processes. We review the challenges in allometric scaling, how they can be tackled by advances in data-model fusion, and how individual-based models can serve as data integrators for dynamic global vegetation models.
树木的形态和功能与大小相关，其比例决定了两者如何相互关联。种间关联有助于将个体到全球的过程进行尺度化，也是植被模型的核心组成部分。理论上认为种间关联是最优化的结果，但实际数据却无法很好地证明这一点。我们认为，将高分辨率数据（例如从机载激光扫描获得的数据）与基于个体的森林模型融合，可以深入了解植物大小如何影响大尺度的生物地球化学过程。我们回顾了种间关联尺度化的挑战，以及如何通过数据模型融合的进步来解决这些问题，还探讨了基于个体的模型如何成为动态全球植被模型的数据集成器。
