结构如何起作用?利用一维和三维光模型比较冠层光合作用:以温室黄瓜冠层为例

IF 2.6 Q1 AGRONOMY in silico Plants Pub Date : 2021-10-14 DOI:10.1093/insilicoplants/diab031
Yi-Chen Pao, K. Kahlen, Tsu-Wei Chen, Dirk Wiechers, H. Stützel
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引用次数: 3

摘要

利用具有消光系数k的Beer-Lambert方程(BL)的一维光模型是估计均匀冠层光拦截的简单而可靠的工具。功能-结构植物模型(FSPMs)在捕获异质冠层中光-植物相互作用方面具有强大的功能,但由于三维植物结构和光模型的明确描述,它们也更加复杂。在选择合适的建模方法时,需要考虑具有空间异质性的冠层的简单性和准确性之间的权衡。基于温室黄瓜动态FSPM的框架,我们比较了两种光建模方法,一种是基于BL,另一种是使用光线追踪(RT)。采用小时步(HS)和日步(DS)分辨率模拟2 ~ 5周生长期间的光截获、叶片水平光合驯化和植株水平干物质生产。结果表明,BL-HS在预测茎部干物质和光合参数方面与RT-HS相当。利用RT建立的k与叶面积指数之间的经验关系模拟了BL方法中使用的k,在相同植物密度下,k随冠层几何形状的变化可达0.2。当使用恒定的k值时,0.2 k的差异导致茎干物质的精度损失高达27%。这些结果表明,在RT估计k的帮助下,简单的BL-HS方法可以有效地估计长期过程。
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How does structure matter? Comparison of canopy photosynthesis using one- and three-dimensional light models: a case study using greenhouse cucumber canopies
One-dimensional light models using the Beer-Lambert equation (BL) with the light extinction coefficient k are simple and robust tools for estimating light interception of homogeneous canopies. Functional-structural plant models (FSPMs) are powerful to capture light-plant interactions in heterogeneous canopies, but they are also more complex due to explicit descriptions of three-dimensional plant architecture and light models. For choosing an appropriate modelling approach, the trade-offs between simplicity and accuracy need to be considered when canopies with spatial heterogeneity are concerned. We compared two light modelling approaches, one following BL and another using ray tracing (RT), based on a framework of a dynamic FSPM of greenhouse cucumber. Resolutions of hourly-step (HS) and daily-step (DS) were applied to simulate light interception, leaf-level photosynthetic acclimation and plant-level dry matter production over growth periods of two to five weeks. Results showed that BL-HS was comparable to RT-HS in predicting shoot dry matter and photosynthetic parameters. The k used in the BL approach was simulated using an empirical relationship between k and leaf area index established with the assistance of RT, which showed variation up to 0.2 in k depending on canopy geometry under the same plant density. When a constant k value was used instead, a difference of 0.2 in k resulted in up to 27% loss in accuracy for shoot dry matter. These results suggested that, with the assistance of RT in k estimation, the simple approach BL-HS provided efficient estimation for long-term processes.
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
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