Modeling plant plasticity from a biophysical model

Abstract

A mechanical effect is one of the important reasons for plant diversity, whose phenotype is crooked branch. Parametric curve equation, or skeleton extraction from image or video, or interactive design is often used to simulate branch bending. These methods generally could not dynamically demonstrate the process of deformation caused by stress. Moreover, they seldom consider biophysical behaviors. In this paper, we integrated Bio-mechanical Model with Functional Structural Plant Model (FSPM), specifically GreenLab model, both of which are biologically-based methods. The combined model is able to simulate the morphological changes of dynamically developing plants constrained by external loads, such as gravity and wind. It could also mimic tropism, which is associated with maturation strains of reaction wood. Feedback between FSPM and Bio-mechanical Model is constructed by linking the bud break strategy to the architecture. Using the models based on the botanical and biological knowledge, we could generate plausible plants in accordance with reality. Meanwhile this study lays a good foundation for studying the optimization of plant's growth behaviors when considering biomechanics.

Fire in paradise

“…Sketch-based approaches on the other hand enable the refined generation of tree models, while also supporting artistic requirements toward content creation [Chen et al 2008;Longay et al 2012;Okabe et al 2007;Wither et al 2009]. More recently, a number of methods simulate the physics-response and the dynamics of tree models, including the swaying of trees in wind fields [Habel et al 2009;, the interactive modeling of growth Pirk et al 2012a], or the simulation of tree dynamics based on physically plausible materials [Wang et al 2013;Zhao and Barbič 2013] or through machine learning-assisted iterative solvers [Shao et al 2021].…”

“…While a wide range of methods exists to plausibly model branching structures [Měch and Prusinkiewicz 1996;Palubicki et al 2009;Pirk et al 2012b;Stava et al 2014], only very recently methods also focus on the realistic simulation of dynamic behavior and physics response of plant models, including the simulation of growth [Longay et al 2012], surface adaptation ], the interaction with wind , or based on realistic material properties [Wang et al 2013;Zhao and Barbič 2013]. Previous work has combined ecosystem and terrain erosion simulation for authoring landscapes [Cordonnier et al 2017].…”

Fire in paradise

“…Sketch-based approaches on the other hand enable the rened generation of tree models, while also supporting artistic requirements toward content creation [Chen et al 2008;Longay et al 2012;Okabe et al 2007;Wither et al 2009]. More recently, a number of methods simulate the physics-response and the dynamics of tree models, including the swaying of trees in wind elds [Habel et al 2009;, the interactive modeling of growth Pirk et al 2012a], or the simulation of tree dynamics based on physically plausible materials [Wang et al 2013;Zhao and Barbič 2013] or through machine learning-assisted iterative solvers [Shao et al 2021].…”

“…While a wide range of methods exists to plausibly model branching structures [Měch and Prusinkiewicz 1996;Palubicki et al 2009;Pirk et al 2012b;Stava et al 2014], only very recently methods also focus on the realistic simulation of dynamic behavior and physics response of plant models, including the simulation of growth [Longay et al 2012], surface adaptation ], the interaction with wind , or based on realistic material properties [Wang et al 2013;Zhao and Barbič 2013]. Previous work has combined ecosystem and terrain erosion simulation for authoring landscapes [Cordonnier et al 2017].…”

Windy trees

“…Coupling wind models with tree skeletons and modeling the underlying biomechanics are important aspects when animating and simulating tree models [Wang et al 2013]. Ota et al [2003] combine 1/f β noise power spectra for approximating wind with a spring model to describe branch dynamics.…”