Delory Benjamin M, Li Mao, Topp Christopher N, Lobet Guillaume
Ecosystem Functioning and Services, Institute of Ecology, Leuphana University, Lüneburg, 21335, Germany.
Donald Danforth Plant Science Center, St. Louis, MO, 63132, USA.
F1000Res. 2018 Jan 8;7:22. doi: 10.12688/f1000research.13541.1. eCollection 2018.
Quantifying plant morphology is a very challenging task that requires methods able to capture the geometry and topology of plant organs at various spatial scales. Recently, the use of persistent homology as a mathematical framework to quantify plant morphology has been successfully demonstrated for leaves, shoots, and root systems. In this paper, we present a new data analysis pipeline implemented in the R package archiDART to analyse root system architectures using persistent homology. In addition, we also show that both geometric and topological descriptors are necessary to accurately compare root systems and assess their natural complexity.
量化植物形态是一项极具挑战性的任务，需要能够在各种空间尺度上捕捉植物器官几何形状和拓扑结构的方法。最近，持久同调作为一种量化植物形态的数学框架，已成功应用于叶片、茎枝和根系。在本文中，我们展示了一个在R包archiDART中实现的新数据分析流程，用于使用持久同调分析根系结构。此外，我们还表明，几何描述符和拓扑描述符对于准确比较根系和评估其天然复杂性都是必要的。
