Oxygen and phytoplankton dynamics
Başlık çevirisi mevcut değil.
- Tez No: 402474
- Danışmanlar: Belirtilmemiş.
- Tez Türü: Yüksek Lisans
- Konular: Matematik, Mathematics
- Anahtar Kelimeler: Steady-state situation, isoclines, Temporal plot, Dynamical system, Bistability iii
- Yıl: 2012
- Dil: İngilizce
- Üniversite: Unıversıty Of Leıcester
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Matematik Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
Plankton, originated from the Greek words phyto (plant) and plankton (wandering), live in salty or fresh aquatic environments and are similar to land plants in that they have chlorophyll and depend sunlight to do photosynthesis. They also require other nutrients such as nitrate, silicate, phosphate and calcium at various amounts depending on the species. Some other factors also affect phytoplankton growth rates such as water, temperature and salinity, water depth, wind and the kind of predators grazing on them. In a balanced ecosystem, phytoplankton constitute primary producers by providing food for a wide range of sea animals including whales, snails, jellyfish and shrimp; thus comprising the base of food web. Therefore, their importance in giving the air its vital oxygen since the ancient times of the earth cannot be ignored. In this work, we focused on some general ecological complexity. Especially, phytoplankton and oxygen dynamics were considered. At the start, a simple mathematical model was solved for describing the oxygen production via phytoplankton. This simple model was obtained from reducing complex model which belong to (Mocenni, 2006) in [14] which included some parameters related to light intensity, limited temperature, limited nutrients concentration, zooplankton effect, wind re-aeration and oxygen production and bacterial activity. Secondly, this simple model was developed via addition of some parameters to make it more realistic. This study mainly aims to understand connection of oxygen production by phytoplankton via using ordinary differential equation and steady-state dynamics. For this reason, we reduced the complicated model to the simplest one to understand the logical meaning of model dynamic and then added some parameters to the first simple model to make it acceptable for life. To summarize, we dealt with biological importance of phytoplankton and then handled a biological observation from a study. Finally, the last stage included some simulations taking part in this study.
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