Abstract:In the north-eastern part of the Black Sea, the seasonal complexes of dominant species of phytoplankton were fixed: small-celled diatom (spring), coccolithophores (late spring, early summer) and large diatoms (summer and autumn). In May-June 2005 and 2006, two invasive species of marine diatoms Chaetoceros throndsenii (maximal abundance 1.92 9 10 5 cells/l) and Chaetoceros minimus (1.6 9 10 5 cells/l) were recorded. These species have been incorporated in the complex of the late spring and early summer and gre… Show more
“…Выбор параметров для расчетов осуществлялся на основе литературных данных, приводимых в [19][20][21]. Упомянутые в работах данные преобразованы с расчетом временного шага, равного одному часу.…”
Section: выбор параметров для расчетовunclassified
“…Из параметров модели самыми слабо определяемыми, «уязвимыми», оказываются параметры , , . Из экспериментально определяемых самым «чувствительным» оказывается нижняя граница Q0 для внутриклеточной квоты биогенов q [19]. Численный анализ показывает, что параметры и не влияют на свойства устойчивости, а ключевыми оказываются параметры и Q0.…”
Section: анализ динамики при выбранных параметрахunclassified
Droop's well-known model simulates phytoplankton biomass dynamics based on nutrient limitation. The defining parameter is the nutrient concentration in phytoplankton cells (cell quota). This model is modified to description of the photosynthesis processes. The effects of photosynthetically active radiation must be taken into account. At the same time, the nutritional factor remains the main one. Water temperature is considered as a controlling factor. The influence of light during photosynthesis plays a decisive role. The decisive factor is the presence of photosynthetic substances. We conventionally combine them under the name "chlorophyll". Sufficient variability in the proportion of chlorophyll in phytoplankton (chlorophyll quota) directly affects biomass production. The equation for the dynamics of chlorophyll quota is added to the Droop model. The parameters of the model depend on the concentration of nutrients, illumination and water temperature. The properties of the solutions in the model are investigated, the conditions for the existence and stability of equilibrium solutions are clarified. Complex dynamic regimes are revealed in the case of unstable equilibria. It was found that the most sensitive parameter for biomass dynamics is the minimum value of the cell quota. The dynamics of indicators for the daily cycle and the annual cycle of seasonal changes are calculated. The influence of nutrition, illumination and temperature on biomass production has been clarified. During the day, the chlorophyll quota fluctuates insignificantly due to a short period of time. The changes are noticeable at longer times for example during the season.
“…Выбор параметров для расчетов осуществлялся на основе литературных данных, приводимых в [19][20][21]. Упомянутые в работах данные преобразованы с расчетом временного шага, равного одному часу.…”
Section: выбор параметров для расчетовunclassified
“…Из параметров модели самыми слабо определяемыми, «уязвимыми», оказываются параметры , , . Из экспериментально определяемых самым «чувствительным» оказывается нижняя граница Q0 для внутриклеточной квоты биогенов q [19]. Численный анализ показывает, что параметры и не влияют на свойства устойчивости, а ключевыми оказываются параметры и Q0.…”
Section: анализ динамики при выбранных параметрахunclassified
Droop's well-known model simulates phytoplankton biomass dynamics based on nutrient limitation. The defining parameter is the nutrient concentration in phytoplankton cells (cell quota). This model is modified to description of the photosynthesis processes. The effects of photosynthetically active radiation must be taken into account. At the same time, the nutritional factor remains the main one. Water temperature is considered as a controlling factor. The influence of light during photosynthesis plays a decisive role. The decisive factor is the presence of photosynthetic substances. We conventionally combine them under the name "chlorophyll". Sufficient variability in the proportion of chlorophyll in phytoplankton (chlorophyll quota) directly affects biomass production. The equation for the dynamics of chlorophyll quota is added to the Droop model. The parameters of the model depend on the concentration of nutrients, illumination and water temperature. The properties of the solutions in the model are investigated, the conditions for the existence and stability of equilibrium solutions are clarified. Complex dynamic regimes are revealed in the case of unstable equilibria. It was found that the most sensitive parameter for biomass dynamics is the minimum value of the cell quota. The dynamics of indicators for the daily cycle and the annual cycle of seasonal changes are calculated. The influence of nutrition, illumination and temperature on biomass production has been clarified. During the day, the chlorophyll quota fluctuates insignificantly due to a short period of time. The changes are noticeable at longer times for example during the season.
“…Существенное влияние на развитие фитопланктона оказывает зоопланктон, для которого фитопланктон является пищей. С другой стороны, рост биомассы фитопланктона определяется рядом иных факторов абиотической природы, в частности внутривидовой конкуренцией за ресурсы [Silkin et al, 2016]. Некоторые примеры зависимости скорости роста фитопланктона от обилия ресурсов и освещенности представлены в монографии [Митчел, 1976].…”
Section: биологические особенности планктонных сообществunclassified
“…Эти изменения не сильно различаются для разных видов. Мы предполагаем, что изменение плотности фитопланктонного сообщества можно описать моделью Рикера, позволяющей учитывать процессы саморегуляции [Митчел, 1976;Silkin et al, 2016;Chattopadhyay et al, 2002;Жданова, Абакумов, 2015]. Также явно учитывается убыль фитопланктона в результате выедания зоопланктоном.…”
Section: модель планктонного сообществаunclassified
Ключевые слова: динамика сообщества, бифуркация, модель Рикера, фитопланктон, зоопланктон, взаимодействие по принципу «хищник-жертва», каннибализм Работа выполнена при частичной поддержке РФФИ (проект № 18-01-00213).
“…At present, most studies on alien phytoplankton in the world stay on their own biological characteristics (Goes et al, 2013;Cristian et al, 2016;Silkin et al, 2016;Belyaeva, 2019), and there are few studies on their transport and diffusion under the influence of hydrodynamic conditions; the relevant studies on phytoplankton in Bohai Bay are also based on the research of Chinese scholars.…”
In order to investigate the motion feature of alien phytoplankton in the Bohai Bay area, this manuscript builds a two-dimensional tide hydrodynamic model coupled with a particle tracking model to simulate the alien phytoplankton movement trajectory and the diffusion processes with different specific growth rates in three major ports of Bohai Bay (Caofeidian port, Tianjin port, and Huanghua port). The results show that the movement of alien phytoplankton is mainly affected by the tidal circulation near the port, and the diffusion trend is basically consistent with the residual flow in Bohai Bay. The distribution density of alien phytoplankton is directly affected by the specific growth rate of the population and is positively related to specific growth rate. The released alien phytoplankton in the three major ports are all concentrated around the ports area. The largest distribution density is in Tianjin port, and the possibility of red tide disasters is also greatest here compared with the other two major ports. It is necessary to strengthen the monitoring of alien organisms in the port area and actively prevent alien phytoplankton from entering Bohai Bay through ship ballast water.
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