Simple envelope-based reconstruction methods can infer light partitioning among individual plants in sparse and dense herbaceous canopies

Louarn, Gaëtan; Silva, David Da; Godin, Christophe; Combes, Didier

doi:10.1016/j.agrformet.2012.06.014

Cited by 19 publications

(16 citation statements)

References 57 publications

(71 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the effects of light on vegetation dynamics are poorly understood, and are expressed at a quantitative level. This is partly due to a lack of quantitative methods for evaluating light interception by individual plants [10].…”

Section: Introductionmentioning

confidence: 99%

“…RGM took advantage of radiosity theory and the high accuracy of 3D models with the L-system. The nested radiosity model [21] was developed to simulate the distribution of light within a canopy at the organ level, and was incorporated into the OpenAlea platform [33] to analyze the light interception of herbaceous canopies [10]. Because light scattering within a canopy accounts for less than 10% of the incident photosynthetically active radiation (PAR) [34], several researchers have directly computed the uncollided propagation of direct solar radiation and diffuse sky radiation into the canopy using ray tracing [35,36], the projection Z-buffer algorithm [37], and a virtual camera based on OpenGL [38].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models

Tang

Yin

Chen

et al. 2017

IJGI

View full text Add to dashboard Cite

Virtual geographic environments (VGEs) have been regarded as an important new means of simulating, analyzing, and understanding complex geological processes. Plants and light are major components of the geographic environment. Light is a critical factor that affects ecological systems. In this study, we focused on simulating light transmission and distribution within a three-dimensional plant canopy model. A progressive refinement radiosity algorithm was applied to simulate the transmission and distribution of solar light within a detailed, three-dimensional (3D) loquat (Eriobotrya japonica Lindl.) canopy model. The canopy was described in three dimensions, and each organ surface was represented by a set of triangular facets. The form factors in radiosity were calculated using a hemi-cube algorithm. We developed a module for simulating the instantaneous light distribution within a virtual canopy, which was integrated into ParaTree. We simulated the distribution of photosynthetically active radiation (PAR) within a loquat canopy, and calculated the total PAR intercepted at the whole canopy scale, as well as the mean PAR interception per unit leaf area. The ParaTree-integrated radiosity model simulates the uncollided propagation of direct solar and diffuse sky light and the light-scattering effect of foliage. The PAR captured by the whole canopy based on the radiosity is approximately 9.4% greater than that obtained using ray tracing and TURTLE methods. The latter methods do not account for the scattering among leaves in the canopy in the study, and therefore, the difference might be due to the contribution of light scattering in the foliage. The simulation result is close to Myneni's findings, in which the light scattering within a canopy is less than 10% of the incident PAR. Our method can be employed for visualizing and analyzing the spatial distribution of light within a canopy, and for estimating the PAR interception at the organ and canopy levels. It is useful for designing plant canopy architecture (e.g., fruit trees and plants in urban greening) and planting planning.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models

Tang

Yin

Chen

et al. 2017

IJGI

View full text Add to dashboard Cite

show abstract

“…As recently demonstrated on a large range of canopy structures [15], simplified 3D representation proved faithful to infer light partitioning among individuals. They were good surrogates to the reference method of 3D plant digitization and allowed the dynamic follow-up of up to 100 neighbor plants.…”

Section: Discussionmentioning

confidence: 97%

“…Light interception by canopy components 1) Envelope-based reconstruction of plant 3D structures A statistical envelope-based reconstruction method was used to build-up simplified 3D plants from the shoot morphological traits measured in ZI [14,15]. Basically, each shoot of a plant was represented by a turbid-medium delimited by a vertical cylinder (Fig.…”

Section: B Dry Matter Measurementsmentioning

confidence: 99%

Modelling variations in individual plant productivity within a stand: Comparison of top-down and bottom-up approaches in an alfalfa crop

Gaetan¹,

Ela²,

Didier³

et al. 2012

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

View full text Add to dashboard Cite

Modelling individual variations in plant productivity and resource-dependent mortality is a key issue in population dynamic models. The present study examined two classical approaches to account for plant productivity in functional-structural plant models (i.e. the up-scalin g of a leaf photosynthesis model, and the down-scalin g of a canopy production model) and compares them in their ability to account for the size-structure of a population of alfalfa plants competin g for li g ht. The two models differed mainly in their formulation of the plant carbon balance. Only the leaf approach included a respiration sub-model and was able to predict self-thinnin g and chan g es in radiation use efficiency amon g plants. Variations in plant mass were however mainly explained by differences in li g ht interception. The two models behaved quite well to simulate the mass distribution of survivin g plants, the leaf model bein g clearly more difficult to calibrate.

show abstract

“…Differences in leaf surface area, plant height and other architectural features that affect the spatial distribution of leaves (e.g., phenology, branching patterns, dimensions of spacing organs, etc.) have been shown to be drivers of competitive success in grass-legume mixtures (Louarn et al, 2012; Barillot et al, 2014). However, little is known about the elementary traits that promote leaf area expansion and height increments in most herbaceous species, especially regarding the temporal aspects of morphogenesis.…”

Section: Introductionmentioning

confidence: 99%

A Conserved Potential Development Framework Applies to Shoots of Legume Species with Contrasting Morphogenetic Strategies

et al. 2017

Self Cite

View full text Add to dashboard Cite

A great variety of legume species are used for forage production and grown in multi-species grasslands. Despite their close phylogenetic relationship, they display a broad range of morphologies that markedly affect their competitive abilities and persistence in mixtures. Little is yet known about the component traits that control the deployment of plant architecture in most of these species. During the present study, we compared the patterns of shoot organogenesis and shoot organ growth in contrasting forage species belonging to the four morphogenetic groups previously identified in herbaceous legumes (i.e., stolon-formers, rhizome-formers, crown-formers tolerant to defoliation and crown-formers intolerant to defoliation). To achieve this, three greenhouse experiments were carried out using plant species from each group (namely alfalfa, birdsfoot trefoil, sainfoin, kura clover, red clover, and white clover) which were grown at low density under non-limiting water and soil nutrient availability. The potential morphogenesis of shoots characterized under these conditions showed that all the species shared a number of common morphogenetic features. All complied with a generalized classification of shoot axes into three types (main axis, primary and secondary axes). A common quantitative framework for vegetative growth and development involved: (i) the regular development of all shoot axes in thermal time and a deterministic branching pattern in the absence of stress; (ii) a temporal coordination of organ growth at the phytomer level that was highly conserved irrespective of phytomer position, and (iii) an identical allometry determining the surface area of all the leaves. The species differed in their architecture as a consequence of the values taken by component traits of morphogenesis. Assessing the relationships between the traits studied showed that these species were distinct from each other along two main PCA axes which explained 68% of total variance: the first axis captured a trade-off between maximum leaf size and the ability to produce numerous phytomers, while the second distinguished morphogenetic strategies reliant on either petiole or internode expansion to achieve space colonization. The consequences of this quantitative framework are discussed, along with its possible applications regarding plant phenotyping and modeling.

show abstract

Simple envelope-based reconstruction methods can infer light partitioning among individual plants in sparse and dense herbaceous canopies

Abstract: Didier Combes. Simple envelope-based reconstruction methods can infer light partitioning among individual plants in sparse and dense herbaceous canopies. Agricultural and Forest Meteorology, Elsevier Masson, 2012, 166-167, pp.98-112. 10.1016/j.agrformet.2012

Cited by 19 publications

References 57 publications

Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models

Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models

Modelling variations in individual plant productivity within a stand: Comparison of top-down and bottom-up approaches in an alfalfa crop

A Conserved Potential Development Framework Applies to Shoots of Legume Species with Contrasting Morphogenetic Strategies

Contact Info

Product

Resources

About