Testing two models for the estimation of leaf stomatal conductance in four greenhouse crops cucumber, chrysanthemum, tulip and lilium
Testing two models for the estimation of leaf stomatal conductance in four greenhouse crops cucumber, chrysanthemum, tulip and lilium
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测试两种模型来估计四种温室作物黄瓜、菊花、郁金香和百合的叶片气孔导度
DOI：
10.1016/j.agrformet.2012.06.004
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发表时间：
2012-11
影响因子：
6.2
通讯作者：
Jingqing Shao
中科院分区：
文献类型：
--
作者：
（1） Gang Li;Yanbao Zhou;Jianfeng Dai;Weiping Chen;Chunjiang Zhao;Lu Lin;Yongyi Dong;Dongsheng An;Yongxiu Li;Weihong Luo;Xinyou Yin;Wenwen Li;Jingqing Shao
估算叶片气孔导度对co2扩散（gsc）的影响是进一步估算作物蒸腾作用以及温室内空气与植物之间能量和物质平衡的关键。在本研究中，我们利用2003 - 2010年在广泛环境条件下进行的大量实验数据，对四种温室作物（黄瓜、菊花、郁金香和百合）的gscin进行了两种模型（即Jarvis模型和一种新版本的BWB-Leuning - yin模型）进行了测试。模型是根据实验数据子集进行参数化的。剩余的模型验证数据集分为两组，一组是在与模型参数化相似的季节在同一地点进行的实验，第二组是在不同的季节和地点进行的实验。当使用第一组数据时，两种模型在充足供水和缺水条件下都能给出满意的gscf估计。当使用第二组数据时，BWB-Leuning-Yin模型比Jarvis模型给出了更好的gsc2估计。如果应用于独立的环境条件，则必须重新推导贾维斯模型的函数或参数。与之前的模型相比，BWB-Leuning-Yin模型在低光照强度和低二氧化碳浓度下给出了更好的gscs估计，这表明新模型特别适用于在光照和二氧化碳水平低于环境水平的低投资温室中种植的作物的gscs估计。此外，BWB-Leuning-Yin模型中采用的耦合FvCB模型和扩散电导的解析算法使得净光合速率和gscan的参数化和同时估计变得容易，使用容易获得的信息。
Estimating leaf stomatal conductance for CO2diffusion (gsc) is pivotal for further estimation of crop transpiration as well as energy and mass balances between air and plant in greenhouses. In this study, we tested two models, i.e. the Jarvis model and a new version of BWB–Leuning model (BWB–Leuning–Yin model), for estimating gscin four greenhouse crops (cucumber, chrysanthemum, tulip and lilium), using data from extensive experiments conducted under a wide range of environmental conditions from 2003 to 2010. The models were parameterized from a subset of the experimental data. The remaining data sets for model validation were classified into two groups: group one was from experiments conducted during the similar seasons at the same sites as those for model parameterization, whereas group two was from experiments in different seasons and sites. When using data of group one, both models gave satisfactory estimations of gscunder both ample water supply and water stress conditions. When using data of group two, the BWB–Leuning–Yin model gave better estimations of gscthan the Jarvis model did. Functions or parameters of the Jarvis model, if applied to independent environmental conditions, have to be re-derived. Compared to its earlier versions, the BWB–Leuning–Yin model gave better estimated gscunder low light intensities and low CO2concentrations, suggesting that the new version is especially suitable for estimation of gscfor crops grown in low-investment greenhouses where levels of light and CO2are lower than ambient levels. In addition, analytical algorithms for the coupled FvCB model and diffusional conductance as adopted in the BWB–Leuning–Yin model make parameterization and simultaneous estimation of net photosynthetic rate and gscan easy task, using readily obtained information.
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影响因子：
6.2
作者：
Guirui Yu;K. Nakayama;N. Matsuoka;H. Kon
通讯作者：
Guirui Yu;K. Nakayama;N. Matsuoka;H. Kon
DOI：
10.1071/pp9900159
发表时间：
1990-01-01
期刊：
AUSTRALIAN JOURNAL OF PLANT PHYSIOLOGY
影响因子：
--
作者：
LEUNING, R
通讯作者：
LEUNING, R
影响因子：
6.9
作者：
Comstock, JP
通讯作者：
Comstock, JP
影响因子：
6.2
作者：
M. Fuchs;E. Dayan;E. Presnov
通讯作者：
M. Fuchs;E. Dayan;E. Presnov
影响因子：
4
作者：
B. Bond;K. Kavanagh
通讯作者：
B. Bond;K. Kavanagh