Developing of discrimination experiment to find most adequate model of plant's multi-nutrient functional response : доклад, тезисы доклада

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Workshop on Mathematical Models and their Applications 2016, IWMMA 2016; Krasnoyarsk; Krasnoyarsk

Год издания: 2017

Идентификатор DOI: 10.1088/1757-899X/173/1/012017

Аннотация: To create reliable Closed Ecological Life Support Systems (CELSS) it is necessary to have models which can predict CELSS dynamic with good accuracy. However it was shown that conventional ecological models cannot describe CELSS correctly if it is closed by more than one element. This problem can be solved by means more complex models than conventional ones - so called flexible metabolism models. However it is possible that CELSS also can be described correctly in "semi-conventional" framework - when only one trophic level is described by flexible metabolism model. Another problem in CELSS modeling is existence of different and incompatible hypotheses about relationships between plants growth rate and amounts of nutrients (functional responses). Difficulty of testing these hypotheses is associated with multi-nutrient dependency of growth rate and comprehensive experimental studies are expensive and time-consuming. This work is devoted to testing the hypothesis that "semi-conventional" approach is enough to describe CELSS, and to planning the discrimination experiment on selecting correct type of the plant's functional response. To do that three different models of plants (one flexible and two conventional) were investigated both in the scope of CELSS model, and in hemostat model. Numerical simulations show that each of the models has typical patterns which can be determined in experiment with real plants.

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: 173

Номера страниц: 012017

Издатель: Institute of Physics Publishing

Авторы

  • Yu Saltykov M. (Institute of Biophysics SB RAS)
  • Bartsev S.I. (Institute of Biophysics SB RAS)

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