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将地面激光扫描与功能结构植物模型相结合,以研究森林群落的生态和进化过程。

Integrating terrestrial laser scanning with functional-structural plant models to investigate ecological and evolutionary processes of forest communities.

机构信息

Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berkshire, SL5 7PY, UK.

Royal Botanic Gardens, Kew, Richmond, UK.

出版信息

Ann Bot. 2021 Oct 27;128(6):663-684. doi: 10.1093/aob/mcab120.

Abstract

BACKGROUND

Woody plants (trees and shrubs) play an important role in terrestrial ecosystems, but their size and longevity make them difficult subjects for traditional experiments. In the last 20 years functional-structural plant models (FSPMs) have evolved: they consider the interplay between plant modular structure, the immediate environment and internal functioning. However, computational constraints and data deficiency have long been limiting factors in a broader application of FSPMs, particularly at the scale of forest communities. Recently, terrestrial laser scanning (TLS), has emerged as an invaluable tool for capturing the 3-D structure of forest communities, thus opening up exciting opportunities to explore and predict forest dynamics with FSPMs.

SCOPE

The potential synergies between TLS-derived data and FSPMs have yet to be fully explored. Here, we summarize recent developments in FSPM and TLS research, with a specific focus on woody plants. We then evaluate the emerging opportunities for applying FSPMs in an ecological and evolutionary context, in light of TLS-derived data, with particular consideration of the challenges posed by scaling up from individual trees to whole forests. Finally, we propose guidelines for incorporating TLS data into the FSPM workflow to encourage overlap of practice amongst researchers.

CONCLUSIONS

We conclude that TLS is a feasible tool to help shift FSPMs from an individual-level modelling technique to a community-level one. The ability to scan multiple trees, of multiple species, in a short amount of time, is paramount to gathering the detailed structural information required for parameterizing FSPMs for forest communities. Conventional techniques, such as repeated manual forest surveys, have their limitations in explaining the driving mechanisms behind observed patterns in 3-D forest structure and dynamics. Therefore, other techniques are valuable to explore how forests might respond to environmental change. A robust synthesis between TLS and FSPMs provides the opportunity to virtually explore the spatial and temporal dynamics of forest communities.

摘要

背景

木本植物(乔木和灌木)在陆地生态系统中起着重要作用,但由于其体型大和寿命长,传统实验很难对其进行研究。在过去的 20 年中,功能结构植物模型(FSPMs)不断发展:它们考虑了植物模块化结构、直接环境和内部功能之间的相互作用。然而,计算限制和数据缺乏一直是 FSPMs 更广泛应用的限制因素,特别是在森林群落尺度上。最近,地面激光扫描(TLS)已经成为捕捉森林群落 3D 结构的一种非常有价值的工具,从而为使用 FSPMs 探索和预测森林动态提供了令人兴奋的机会。

范围

TLS 衍生数据与 FSPMs 之间的潜在协同作用尚未得到充分探索。在这里,我们总结了 FSPM 和 TLS 研究的最新进展,特别是针对木本植物。然后,我们根据 TLS 衍生数据评估了在生态和进化背景下应用 FSPMs 的新兴机会,特别考虑了从单个树木扩展到整个森林所带来的挑战。最后,我们提出了将 TLS 数据纳入 FSPM 工作流程的指南,以鼓励研究人员之间的实践重叠。

结论

我们得出结论,TLS 是一种可行的工具,可以帮助将 FSPM 从个体水平建模技术转变为群落水平建模技术。在短时间内扫描多个树种的能力,对于收集用于为森林群落参数化 FSPMs 的详细结构信息至关重要。传统技术,如重复的手动森林调查,在解释 3D 森林结构和动态中观察到的模式背后的驱动机制方面存在局限性。因此,其他技术对于探索森林如何应对环境变化很有价值。TLS 和 FSPMs 的稳健综合为虚拟探索森林群落的时空动态提供了机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac6/8557364/19684862e46f/mcab120f0001.jpg

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