Three-dimensional plant architecture and sunlit–shaded patterns: a stochastic model of light dynamics in canopies
| Autor: | Alexandra J. Townsend, Oliver E. Jensen, Erik H. Murchie, Renata Retkute, Simon Preston |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Photoinhibition
crop canopy Computer science Stochastic modelling Photosynthesis Models Biological 03 medical and health sciences Imaging Three-Dimensional Position (vector) Range (statistics) ray-tracing Computer Simulation QA Plant Physiological Phenomena Triticum 030304 developmental biology 3-D architecture 0303 health sciences photosynthesis QK 04 agricultural and veterinary sciences Original Articles 15. Life on land Plants Carbon Plant Leaves Light intensity Temporal resolution 3D architecture crop canopy ray-tracing light dynamics photosynthesis 040103 agronomy & agriculture Sunlight 0401 agriculture forestry and fisheries light dynamics Plant canopy Biological system Algorithms |
| Zdroj: | Annals of Botany Retkute, R, Townsend, A J, Murchie, E H, Jensen, O & Preston, S P 2018, ' Three-dimensional plant architecture and sunlit-shaded patterns: a stochastic model of light dynamics in canopies ', Annals of Botany, vol. 122, no. 2, pp. 291-302 . https://doi.org/10.1093/aob/mcy067 |
| ISSN: | 1095-8290 0305-7364 |
| DOI: | 10.1093/aob/mcy067 |
| Popis: | Background and AimsDiurnal 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 characterise light dynamics, such as ray-tracing, are able to produce data with excellent spatio-temporal resolution but are computationally intensive and the resultant data are complex and high dimensional. This necessitates development of more economical models for summarising the data and for simulating realistic light patterns over the course of a day.MethodsHigh-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 minute) 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 ResultsFor a wide range of contrasting 3D canopies, the stochastic model is able to summarise, 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.ConclusionsThe model provides a way to summarise 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. |
| Databáze: | OpenAIRE |
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