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A 3D model for light interception in heterogeneous crop:weed canopies: Model structure and evaluation

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  • Munier-Jolain, N.M.
  • Guyot, S.H.M.
  • Colbach, N.

Abstract

Models predicting photosynthetically active radiation (PAR) in heterogeneous canopies are an essential component of process-based weed dynamics models for assessing integrated weed management strategies. Most existing light availability models either consider only homogeneous canopies or are based on optical principles that are too complex for multi-annual and large-scale simulations required for evaluating weed dynamics. The TROLL model adopted a simpler approach, discretizing the canopy into cubic volume cells (“voxels”) and successively calculating PAR transmitted between voxel layers as a function of leaf area and extinction coefficient in each voxel. The present study aimed at developing at a simple, generic individual-based 3D model predicting light availability and interception in heterogeneous canopies for subsequent introduction into a weed dynamics model called FlorSys. In a first step, TROLL was adapted to crop:weed canopies for arable crops in temperate latitudes by (1) developing a new function adapted to annuals for describing plant morphology, (2) accounting for lateral light transmission as a function of solar angle, and (3) predicting the variation in lateral transmission with season and latitude. In the second step, the predictions produced by the FlorSys light availability model were compared to PAR measurements in heterogeneous crop stands. The model was shown to rank situations correctly and to predict incident PAR satisfactorily. A sensitivity analysis of FlorSys identified the voxel size optimizing prediction quality. In the last step, simulations were run to evaluate the potential of biological weed regulation via crop:weed competition for light. The present model will be connected to emergence, growth and development models in further studies.

Suggested Citation

  • Munier-Jolain, N.M. & Guyot, S.H.M. & Colbach, N., 2013. "A 3D model for light interception in heterogeneous crop:weed canopies: Model structure and evaluation," Ecological Modelling, Elsevier, vol. 250(C), pages 101-110.
    • Handle: RePEc:eee:ecomod:v:250:y:2013:i:c:p:101-110
    DOI: 10.1016/j.ecolmodel.2012.10.023
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    References listed on IDEAS

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    1. Gardarin, Antoine & Dürr, Carolyne & Colbach, Nathalie, 2012. "Modeling the dynamics and emergence of a multispecies weed seed bank with species traits," Ecological Modelling, Elsevier, vol. 240(C), pages 123-138.
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    3. Kiniry, James R. & Williams, J. R. & Gassman, Philip W. & Debacke, P., 1992. "General, Process-Oriented Model for Two Competing Plant Species (A)," Staff General Research Papers Archive 483, Iowa State University, Department of Economics.
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    5. Pointurier, Olivia & Moreau, Delphine & Pagès, Loïc & Caneill, Jacques & Colbach, Nathalie, 2021. "Individual-based 3D modelling of root systems in heterogeneous plant canopies at the multiannual scale. Case study with a weed dynamics model," Ecological Modelling, Elsevier, vol. 440(C).
    6. Queyrel, Wilfried & Van Inghelandt, Bastien & Colas, Floriane & Cavan, Nicolas & Granger, Sylvie & Guyot, Bérénice & Reau, Raymond & Derrouch, Damien & Chauvel, Bruno & Maillot, Thibault & Colbach, Na, 2023. "Combining expert knowledge and models in participatory workshops with farmers to design sustainable weed management strategies," Agricultural Systems, Elsevier, vol. 208(C).
    7. Cavan, Nicolas & Omon, Bertrand & Dubois, Sophie & Toqué, Clotilde & Van Inghelandt, Bastien & Queyrel, Wilfried & Colbach, Nathalie & Angevin, Frédérique, 2023. "Model-based evaluation in terms of weed management and overall sustainability of cropping systems designed with three different approaches," Agricultural Systems, Elsevier, vol. 208(C).

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