近似贝叶斯法在光合模型参数估计中的应用
Using approximate Bayesian computation to infer photosynthesis model parameters
查看参考文献34篇
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文摘
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长期以来,光合作用机理模型中参数的确定都是一个难点。该文提出一种参数反演的方法,称为近似贝叶斯法(APMC),用来确定Farquhar光合模型的生理参数。通过将整个冠层抽象为一片大叶的思维抽象,笔者进一步将APMC应用到冠层尺度的生理参数求解,使直接求算冠层尺度生理参数成为可能。该文详细介绍了使用APMC估算光合模型参数的具体算法,并用实测数据进行了验证。结果表明, APMC可以很好地应用于冠层光合模型参数的估计,估计所得的参数落在参数生理上下限值之间,应用1 948个实测数据进行检验,得到决定系数0.75。模拟值和实测值的线性回归曲线斜率为1.04,与理论上的1.0非常接近。这个方法对光合模型参数的获取或许有积极的意义。 |
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其他语种文摘
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We developed a method, namely Adaptive Population Monte Carlo Approximate Bayesian Computation (APMC), to estimate the parameters of Farquhar photosynthesis model. Treating the canopy as a big leaf, we applied this method to derive the parameters at canopy scale. Validations against observational data showed that parameters estimated based on the APMC optimization are un-biased for predicting the photosynthesis rate. We conclude that APMC has greater advantages in estimating the model parameters than those of the conventional nonlinear regression models. |
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来源
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植物生态学报
,2017,41(3):378-385 【核心库】
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DOI
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10.17521/cjpe.2016.0067
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关键词
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蒙特卡洛
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大叶模型
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Farquhar光合模型
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净生态系统交换
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地址
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1.
日本国立环境研究所, 日本, 筑波, 3058506
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海南大学环境科学系, 海口, 570228
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1005-264X |
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学科
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植物学 |
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基金
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国家自然科学基金
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文献收藏号
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CSCD:5963268
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参考文献 共
34
共2页
|
|
1.
Amthor J S. Scaling CO_2-photosynthesis relationships from the leaf to the canopy.
Photosynthesis Research,1994,39:321-350
|
被引
27
次
|
|
|
|
|
2.
Andrieu C. Particle Markov chain Monte Carlo methods.
Journal of the Royal Statistical Society, Series B,2010,72:269-342
|
被引
20
次
|
|
|
|
|
3.
Baldocchi D. An analytical solution for coupled leaf photosynthesis and stomata1 conductance models.
Tree Physiology,1994,14:1069-1079
|
被引
7
次
|
|
|
|
|
4.
Ball J T. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions.
Progress in Photosynthesis Research, Vol. 4. Proceedings of the 7th International Congress on Photosynthesis,1987:221-224
|
被引
1
次
|
|
|
|
|
5.
Beaumont M A. Approximate Bayesian computation in evolution and ecology.
Annual Review of Ecology, Evolution, and Systematics,2010,41:379-406
|
被引
11
次
|
|
|
|
|
6.
Csillery K. Approximate Bayesian Computation (ABC) in practice.
Trends in Ecology and Evolution,2010,25:410-418
|
被引
7
次
|
|
|
|
|
7.
Cubasch U. Introduction.
Climate Change 2013: The Physical Science Basis,2013
|
被引
1
次
|
|
|
|
|
8.
Dai Y. A Two-Big-Leaf Model for canopy temperature, photosynthesis, and stomatal conductance.
Journal of Climate,2004,17:2281-2299
|
被引
11
次
|
|
|
|
|
9.
Damour G. An overview of models of stomatal conductance at the leaf level.
Plant, Cell & Environment,2010,33:1419-1438
|
被引
26
次
|
|
|
|
|
10.
De Pury D G G. Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models.
Plant, Cell & Environment,1997,20:537-557
|
被引
34
次
|
|
|
|
|
11.
Farquhar G D. A biochemical model of photosynthetic CO_2 assimilation in leaves of C3 species.
Planta,1980,149:78-90
|
被引
480
次
|
|
|
|
|
12.
Gao M. Sequential Monte Carlo methods for parameter estimation in nonlinear state-space models.
Computers and Geosciences,2012,44:70-77
|
被引
4
次
|
|
|
|
|
13.
Groenendijk M. Seasonal variation of photosynthetic model parameters and leaf area index from global Fluxnet eddy covariance data.
Journal of Geophysical Research,2011,116:G04027
|
被引
1
次
|
|
|
|
|
14.
Gu L. Reliable estimation of biochemical parameters from C3 leaf photosynthesis-intercellular carbon dioxide response curves.
Plant, Cell & Environment,2010,33:1852-1874
|
被引
14
次
|
|
|
|
|
15.
Hartig F. Technical note: Approximate Bayesian parameterization of a process-based tropical forest model.
Biogeosciences,2014,11:1261-1272
|
被引
1
次
|
|
|
|
|
16.
Hirano T. CO_2 and water vapor exchange of a larch forest in northern Japan.
Tellus. B,2003,55:244-257
|
被引
8
次
|
|
|
|
|
17.
Jarvis P G. Scaling processes and problems.
Plant, Cell & Environment,1995,18:1079-1089
|
被引
19
次
|
|
|
|
|
18.
June T. A simple new equation for the reversible temperature dependence of photosynthetic electron transport: A study on soybean leaf.
Functional Plant Biology,2004,31:275-283
|
被引
5
次
|
|
|
|
|
19.
Kosugi Y. Determination of the gas exchange phenology in an evergreen coniferous forest from 7 years of eddy covariance flux data using an extended big-leaf analysis.
Ecological Research,2013,28:373-385
|
被引
3
次
|
|
|
|
|
20.
Lenormand M. Adaptive approximate Bayesian computation for complex models.
Computational Statistics,2013,28:2777-2796
|
被引
1
次
|
|
|
|
|
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