APEC 기후센터 기후변화연구팀의 칭구오 왕 박사(Dr. Qingguo Wang)가 오는 6월 9일부터 14일까지 핀란드 사리셀카에서 열리는 제7회 “Functional-Structural Plant Models 2013” 국제 컨퍼런스에 참석한다.

칭구오 왕 박사는 “Reliable estimation of parameters of the Farquhar-Von Caemmer-Berry Biochemical model cannot be obtained by fitting An/Ci curves”라는 제목으로 포스터 세션에서 발표를 진행한다. 또한 왕 박사는 컨퍼런스에 참석하는 연구원들과 통합적 작물 모델 및 관련 연구에 대해 이론적이고 실제적인 진전을 위한 논의를 진행할 예정이다.

왕 박사의 발표 제목과 내용은 아래를 참고하면 된다.

▶ 제목: Reliable estimation of parameters of the Farquhar-Von Caemmer-Berry Biochemical model cannot be obtained by fitting An/Ci curves

▶ 초록:
The Farquhar-von Caemmerer-Berry (FvCB) leaf photosynthesis model for C3 plants (Farquhar et al, 1980) has been widely used to simulate CO2 assimilation and the response of plants to climate change from the leaf to canopy scale due to its solid theoretical basis and simplicity. The fitting methods can be divided into two types: the type I method fits parameters with the original FvCB model (Sharkey et al. 2007) while type II fits parameters with the quadratic equation (Gu et al., 2010). Each method relies on different assumptions and has technical limitations. Depending on the method used, the estimated parameters can be substantially different. To the best of our knowledge, there is no publication that tests the fitting methods with generated ideal data sets and data sets superimposed by possible measurement errors, an essential step for fully evaluating the fitting methods because the true parameter values are known and the An/Ci curves can be stimulated under all possible conditions. The objectives of this study are to verify the reliability of parameterization approaches for fitting An/Ci curves using three approaches. One is from type I, a commonly used method of Sharkey et al. (2007); the second is from the type II group of methods, which have been stated to overcome some major issues of extant methods (Gu et al., 2010); and the third is an analytical method that assumes the errors in An/Ci data are negligible.
 

Two groups of data sets with different accuracies were generated for examining the reliability of the three different methods. One group of datasets was generated with 15 data points with three different fixed accuracies: (1) data with high accuracy of 9 decimal places (DSH-15); (2) data with the same accuracy of the currently available commercial gas exchange device (DSL-15) without measurement errors; (3) data with the same accuracy of the currently available commercial gas exchange device and with measurement error imposed (DSE-15). Another group of datasets was generated with either varied accuracy or a varied number of data points.
 

All three methods cannot estimate reliable parameters of the FvCB model by analyzing An/Ci curves with the same accuracy as the measured data produced from the currently available commercial gas exchange device. The method of Sharkey et al. (2007) cannot obtain accurate parameters even with highly accurate datasets because one equation used is theoretically incorrect and has unrealistic assumptions. Analytical methods and the method of Gu et al. (2010) can estimate reliable parameters from highly accurate datasets with enough data points. However, the resulting fitted parameter set by methods of Sharkey et al. (2007) and Gu et al. (2010) remain useful for predicting An under the same conditions under which the An/Ci curves were derived.

* About Functional-Structural Plant Models
In the late 1980’s, a new plant modeling paradigm began to develop that attempted to explicitly describe the structural development of plants and its interaction with plant physiology. In 1996, integrated plant models were discussed by only a few modeling groups. Since this feeble start, the FSPM meetings have expanded to cover a great diversity of integrative plant models, combining plant architecture, molecular genetics, plant physiology, and environmental influences with computer science and mathematics. The meeting has become a window for botanists and scientists from related fields to share state-of-the-art research outcomes and trends which also influence the integrated crop modeling system.