ArticleAnnals of botany2018
Three-dimensional plant architecture and sunlit-shaded patterns: a stochastic model of light dynamics in canopies.
Article in Annals of botany, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- 3D Morphological Feature Quantification and Analysis of Corn Leaves.Plant phenomics (Washington, D.C.) · 2024Article
- Plant science in the age of simulation intelligence.Frontiers in plant science · 2023Article
- Vertical profile of photosynthetic COPhotosynthetica · 2022Article
- A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light.Frontiers in plant science · 2021Review
- UAS-Based Plant Phenotyping for Research and Breeding Applications.Plant phenomics (Washington, D.C.) · 2021Review
- Vertical profile of photosynthetic light response within rice canopy.International journal of biometeorology · 2020Article
- Photosynthetic Acclimation to Fluctuating Irradiance in Plants.Frontiers in plant science · 2020Review
- The Fluctuating Cell-Specific Light Environment and Its Effects on Cyanobacterial Physiology.Plant physiology · 2019Article
- A general non-rectangular hyperbola equation for photosynthetic light response curve of rice at various leaf ages.Scientific reports · 2019Article
- Rate of photosynthetic induction in fluctuating light varies widely among genotypes of wheat.Journal of experimental botany · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Background and Aims: Diurnal changes in solar position and intensity combined with the structural complexity of plant architecture result in highly variable and dynamic light patterns within the plant canopy. This affects productivity through the complex ways that photosynthesis responds to changes in light intensity. Current methods to characterize light dynamics, such as ray-tracing, are able to produce data with excellent spatio-temporal resolution but are computationally intensive and the resulting data are complex and high-dimensional. This necessitates development of more economical models for summarizing the data and for simulating realistic light patterns over the course of a day. Methods: High-resolution reconstructions of field-grown plants are assembled in various configurations to form canopies, and a forward ray-tracing algorithm is applied to the canopies to compute light dynamics at high (1 min) temporal resolution. From the ray-tracer output, the sunlit or shaded state for each patch on the plants is determined, and these data are used to develop a novel stochastic model for the sunlit-shaded patterns. The model is designed to be straightforward to fit to data using maximum likelihood estimation, and fast to simulate from. Key Results: For a wide range of contrasting 3-D canopies, the stochastic model is able to summarize, and replicate in simulations, key features of the light dynamics. When light patterns simulated from the stochastic model are used as input to a model of photoinhibition, the predicted reduction in carbon gain is similar to that from calculations based on the (extremely costly) ray-tracer data. Conclusions: The model provides a way to summarize highly complex data in a small number of parameters, and a cost-effective way to simulate realistic light patterns. Simulations from the model will be particularly useful for feeding into larger-scale photosynthesis models for calculating how light dynamics affects the photosynthetic productivity of canopies.
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