Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling
Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling
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DOI：
10.1007/s00468-018-1704-1
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发表时间：
2018-10-01
影响因子：
2.3
通讯作者：
Herold, Martin
中科院分区：
文献类型：
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作者：
Lau, Alvaro;Bentley, Lisa Patrick;Herold, Martin
关键信息 使用地面激光扫描和 3D 定量结构模型的方法为从热带雨林树木重建树结构开辟了新的可能性。树结构是树的地上部分的三维排列。生态学家假设树枝的拓扑结构代表了对树木环境的优化适应。因此，对树结构的准确描述可以更好地理解功能如何驱动形式。地面激光扫描（TLS）已证明其在表征木本树木结构方面的潜力。然而，大多数当前的 TLS 方法并没有描述树结构。在这里，我们检查了圭亚那热带雨林中的九棵树，以评估 TLS 在测量树木结构方面的效用。首先，我们扫描树木并提取单个树木点云。 TreeQSM 用于通过 3D 定量结构模型 (QSM) 重建木质结构。根据这些 QSM，我们计算出：(1) 直径 > 10 厘米的树枝长度和直径，(2) 分枝顺序和 (3) 树木体积。为了验证我们的方法，我们破坏性地砍伐树木并手动测量所有超过 10 厘米的树枝 (279)。 TreeQSM 发现并重建了 95% 粗细超过 30 厘米的树枝。比较现场数据和 QSM 数据，QSM 将粗度超过 50 厘米的树枝长度高估了 1%，将 20 至 60 厘米之间的树枝直径低估了 8%。 TreeQSM 在 99% 的情况下分配了正确的分支顺序，并重建了 87% 的分支长度和 97% 的树体积。尽管这些结果基于九棵树，但它们验证了一种方法，该方法是使用基于 TLS 的树架构特征迈出的重要一步，并为使用 QSM 进行树架构开辟了新的可能性。
Key message A method using terrestrial laser scanning and 3D quantitative structure models opens up new possibilities to reconstruct tree architecture from tropical rainforest trees.Tree architecture is the three-dimensional arrangement of above ground parts of a tree. Ecologists hypothesize that the topology of tree branches represents optimized adaptations to tree's environment. Thus, an accurate description of tree architecture leads to a better understanding of how form is driven by function. Terrestrial laser scanning (TLS) has demonstrated its potential to characterize woody tree structure. However, most current TLS methods do not describe tree architecture. Here, we examined nine trees from a Guyanese tropical rainforest to evaluate the utility of TLS for measuring tree architecture. First, we scanned the trees and extracted individual tree point clouds. TreeQSM was used to reconstruct woody structure through 3D quantitative structure models (QSMs). From these QSMs, we calculated: (1) length and diameter of branches > 10 cm diameter, (2) branching order and (3) tree volume. To validate our method, we destructively harvested the trees and manually measured all branches over 10 cm (279). TreeQSM found and reconstructed 95% of the branches thicker than 30 cm. Comparing field and QSM data, QSM overestimated branch lengths thicker than 50 cm by 1% and underestimated diameter of branches between 20 and 60 cm by 8%. TreeQSM assigned the correct branching order in 99% of all cases and reconstructed 87% of branch lengths and 97% of tree volume. Although these results are based on nine trees, they validate a method that is an important step forward towards using tree architectural traits based on TLS and open up new possibilities to use QSMs for tree architecture.