Stochastic nutrient-plankton models
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866929414218973184 |
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| author | Hening, Alexandru Hieu, Nguyen Trong Nguyen, Dang Hai Nguyen, Nhu Ngoc |
| author_facet | Hening, Alexandru Hieu, Nguyen Trong Nguyen, Dang Hai Nguyen, Nhu Ngoc |
| contents | We analyze plankton-nutrient food chain models composed of phytoplankton, herbivorous zooplankton and a limiting nutrient. These models have played a key role in understanding the dynamics of plankton in the oceanic layer. Given the strong environmental and seasonal fluctuations that are present in the oceanic layer, we propose a stochastic model for which we are able to fully classify the longterm behavior of the dynamics. In order to achieve this we had to develop new analytical techniques, as the system does not satisfy the regular dissipativity conditions and the analysis is more subtle than in other population dynamics models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2303_07534 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Stochastic nutrient-plankton models Hening, Alexandru Hieu, Nguyen Trong Nguyen, Dang Hai Nguyen, Nhu Ngoc Probability Populations and Evolution We analyze plankton-nutrient food chain models composed of phytoplankton, herbivorous zooplankton and a limiting nutrient. These models have played a key role in understanding the dynamics of plankton in the oceanic layer. Given the strong environmental and seasonal fluctuations that are present in the oceanic layer, we propose a stochastic model for which we are able to fully classify the longterm behavior of the dynamics. In order to achieve this we had to develop new analytical techniques, as the system does not satisfy the regular dissipativity conditions and the analysis is more subtle than in other population dynamics models. |
| title | Stochastic nutrient-plankton models |
| topic | Probability Populations and Evolution |
| url | https://arxiv.org/abs/2303.07534 |