Details
| Original language | English |
|---|---|
| Pages (from-to) | 906-915 |
| Number of pages | 10 |
| Journal | Agricultural and Forest Meteorology |
| Volume | 151 |
| Issue number | 7 |
| Publication status | Published - 8 Apr 2011 |
Abstract
Light distribution is a key factor of developmental and growth processes, and strongly depends on the foliage distribution which is affected, e.g., by the arrangement of the plants in the canopy. The precise simulation of the light distribution on organ level is an essential component for dynamical plant models which incorporate structural and physiological adaptions of plants to their environment. Combinations of static 3D plant models with 3D light models are used for analyzing the complex light distribution on leaf level in silico, but detailed measurements for evaluation of simulation results are almost non-existent. This study addressed the evaluation of a model on a high level of detail using individual leaf based light measurements in canopies of cucumber (Cucumis sativus L.). We combined a static 3D plant model derived from digitized plants on an individual organ scale with a mock-up of the surrounding canopy and a 3D radiosity based light distribution model. Variations of plant density and spacing were analyzed to cover a range of canopy architectures. An exclusion of components of the light environment by applying a shading encasement followed by a successive uncovering allowed investigating the scene under increasing levels of complexity. The combined 3D plant-light distribution approach allowed determining the interaction of the light directions and the canopy architecture as well as differences in the accuracy of the simulations. Depending on canopy architecture and shading treatment, the light distributions covered a range from exponentially shaped vertical gradients in encased treatments to nearly flat light profiles in nonencased conditions. In conclusion, simulations of leaf level PAR based on combinations of detailed 3D surfaced-based plant and light distribution models are suitable to derive light-induced physiological responses on organ level.
Keywords
- 3D plant model, Canopy architecture, Cucumber, Functional-structural plant model, Light distribution, Modeling
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Forestry
- Environmental Science(all)
- Global and Planetary Change
- Agricultural and Biological Sciences(all)
- Agronomy and Crop Science
- Earth and Planetary Sciences(all)
- Atmospheric Science
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In: Agricultural and Forest Meteorology, Vol. 151, No. 7, 08.04.2011, p. 906-915.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Evaluation of a radiosity based light model for greenhouse cucumber canopies
AU - Wiechers, Dirk
AU - Kahlen, Katrin
AU - Stützel, Hartmut
N1 - Funding Information: The authors thank Michaël Chelle for support on Caribu and Christophe Pradal for support on OpenALEA. This work has been funded by the German Research Foundation (DFG).
PY - 2011/4/8
Y1 - 2011/4/8
N2 - Light distribution is a key factor of developmental and growth processes, and strongly depends on the foliage distribution which is affected, e.g., by the arrangement of the plants in the canopy. The precise simulation of the light distribution on organ level is an essential component for dynamical plant models which incorporate structural and physiological adaptions of plants to their environment. Combinations of static 3D plant models with 3D light models are used for analyzing the complex light distribution on leaf level in silico, but detailed measurements for evaluation of simulation results are almost non-existent. This study addressed the evaluation of a model on a high level of detail using individual leaf based light measurements in canopies of cucumber (Cucumis sativus L.). We combined a static 3D plant model derived from digitized plants on an individual organ scale with a mock-up of the surrounding canopy and a 3D radiosity based light distribution model. Variations of plant density and spacing were analyzed to cover a range of canopy architectures. An exclusion of components of the light environment by applying a shading encasement followed by a successive uncovering allowed investigating the scene under increasing levels of complexity. The combined 3D plant-light distribution approach allowed determining the interaction of the light directions and the canopy architecture as well as differences in the accuracy of the simulations. Depending on canopy architecture and shading treatment, the light distributions covered a range from exponentially shaped vertical gradients in encased treatments to nearly flat light profiles in nonencased conditions. In conclusion, simulations of leaf level PAR based on combinations of detailed 3D surfaced-based plant and light distribution models are suitable to derive light-induced physiological responses on organ level.
AB - Light distribution is a key factor of developmental and growth processes, and strongly depends on the foliage distribution which is affected, e.g., by the arrangement of the plants in the canopy. The precise simulation of the light distribution on organ level is an essential component for dynamical plant models which incorporate structural and physiological adaptions of plants to their environment. Combinations of static 3D plant models with 3D light models are used for analyzing the complex light distribution on leaf level in silico, but detailed measurements for evaluation of simulation results are almost non-existent. This study addressed the evaluation of a model on a high level of detail using individual leaf based light measurements in canopies of cucumber (Cucumis sativus L.). We combined a static 3D plant model derived from digitized plants on an individual organ scale with a mock-up of the surrounding canopy and a 3D radiosity based light distribution model. Variations of plant density and spacing were analyzed to cover a range of canopy architectures. An exclusion of components of the light environment by applying a shading encasement followed by a successive uncovering allowed investigating the scene under increasing levels of complexity. The combined 3D plant-light distribution approach allowed determining the interaction of the light directions and the canopy architecture as well as differences in the accuracy of the simulations. Depending on canopy architecture and shading treatment, the light distributions covered a range from exponentially shaped vertical gradients in encased treatments to nearly flat light profiles in nonencased conditions. In conclusion, simulations of leaf level PAR based on combinations of detailed 3D surfaced-based plant and light distribution models are suitable to derive light-induced physiological responses on organ level.
KW - 3D plant model
KW - Canopy architecture
KW - Cucumber
KW - Functional-structural plant model
KW - Light distribution
KW - Modeling
UR - http://www.scopus.com/inward/record.url?scp=79955610746&partnerID=8YFLogxK
U2 - 10.1016/j.agrformet.2011.02.016
DO - 10.1016/j.agrformet.2011.02.016
M3 - Article
AN - SCOPUS:79955610746
VL - 151
SP - 906
EP - 915
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
SN - 0168-1923
IS - 7
ER -