Research on stability and Hopf bifurcation of marine ecosystem dynamics models
-
摘要: 海洋生态系统动力学模型的可预测性是模型应用的重要限制因子之一,而模型稳定性则是模型可预测性的前提。本文提出了一个基于降维理论的方法,用于研究质量守恒的营养盐-浮游植物-浮游动物-碎屑(NPZD)这类海洋生态系统动力学模型的稳定性和Hopf分岔。研究结果显示,NPZD模型的非奇异平衡点是稳定的,而当模型参数在临界值附近变动时可能会发生Hopf分岔。同时,本文采用数值模拟的方法对该理论分析结果进行了实例验证。本文提出的基于降维理论的方法能够从理论上有效分析质量守恒系统的稳定性问题和Hopf分岔。Abstract: The predictability of marine ecosystem dynamics models is one of the most vital factors to limit their practical applications, of which the stability is the fundamental condition. In order to discuss the stability and Hopf bifurcation of marine ecosystem dynamics models, an approach based on a theorem termed dimension reduction was proposed and further applied in the mass-conservative nutrient-phytoplankton-zooplankton-detritus(NPZD) model in this paper. Results showed that the nonsingular equilibrium point of NPZD model was analytically stable in use of the dimension reduction theorem and the Hopf bifurcation might occur when model parameters changed along the threshold values. The analytical results of the NPZD model were further verified by numerical simulation in this study. It can be concluded that this approach based on the dimension reduction theorem is well applicable to the theoretical analysis of a kind of stability problems and Hopf bifurcation of mass-conservative systems.
-
Key words:
- marine ecosystem /
- mass-conservative /
- NPZD /
- stability /
- Hopf bifurcation
-
Bricker S B, Ferreira J G, Simas T. 2003. An integrated methodology for assessment of estuarine trophic status. Ecological Model-ling, 169(1):39-60 Chen Changsheng. 2003. Marine Ecosystem Dynamics and Modeling(in Chinese). Beijing:Higher Education Press Chen Changsheng, Ji Rubao, Zheng Lianyuan, et al. 1999. Influences of physical processes on the ecosystem in Jiaozhou Bay:A coupled physical and biological model experiment. Journal of Geophysical Research, 104(C12):29925-29949 Cossarini G, Solidoro C. 2008. Global sensitivity analysis of a tropho-dynamic model of the Gulf of Trieste. Ecological Modelling, 212(1-2):16-27 Costanza R, D'Agre R, de Groot R, et al. 1997. The value of the world's ecosystem services and natural capital. Nature, 387(6630):253-260 Edwards A M, Bees M A. 2001. Generic dynamics of a simple plank-ton population model with a non-integer exponent of closure. Chaos, Solitons and Fractals, 12(2):289-300 Edwards A M, Brindley J. 1996. Oscillatory behaviour in a three-com-ponent plankton population model. Dynamics and Stability of Systems, 11(4):347-370 Edwards A M, Brindley J. 1999. Zooplankton mortality and the dy-namical behaviour of plankton population models. Bulletin of Mathematical Biology, 61(2):303-339 Edwards A M, Yool A. 2000. The role of higher predation in plankton population models. Journal of Plankton Research, 22(6):1085-1112 Fasham M J R, Ducklow H W, McKelvie S M. 1990. A nitrogen-based model of plankton dynamics in the oceanic mixed layer. Journ-al of Marine Research, 48(3):591-639 Fei Zunle. 1984. An estimation of the diffuse attenuation coefficient in offshore waters. J Oceanogr Huang Hai & Bohai Seas(in Chinese), 2(1):26-29 Feng Shizuo, Zhang Jing, Wei Hao. 2007. An Introduction to Environ-mental Dynamics of the Bohai Sea(in Chinese). Beijing:Sci-ence Press Franks P J S, Chen Changsheng. 1996. Plankton production in tidal fronts:A model of Georges Bank in summer. Journal of Marine Research, 54(4):631-651 Franks P J S, Wroblewski J S, Flierl G R. 1986. Behavior of a simple plankton model with food-level acclimation by herbivores. Marine Biology, 91(1):121-129 Fransz H G, Verhagen J H G. 1985. Modelling research on the produc-tion cycle of phytoplankton in the Southern Bight of the North Sea in relation to riverborne nutrient loads. Netherlands Journ-al of Sea Research, 19(3-4):241-250 Fujii M, Yoshie N, Yamanaka Y, et al. 2005. Simulated biogeochemic-al responses to iron enrichments in three high nutrient, low chlorophyll(HNLC) regions. Progress in Oceanography, 64(2-4):307-324 Gao Huiwang, Feng Shizuo, Guan Yuping. 1998. Modelling annual cycles of primary production in different regions of the Bohai Sea. Fisheries Oceanography, 7(3-4):258-264 Gao Meng, Shi Honghua, Li Zizhen. 2009. Chaos in a seasonally and periodically forced phytoplankton-zooplankton system. Non-linear Analysis:Real World Applications, 10(3):1643-1650 Granéli E, Weberg M, Salomon P S. 2008. Harmful algal blooms of al-lelopathic microalgal species:The role of eutrophication. Harmful Algae, 8(1):94-102 Hale J K, Ko.ak H. 1991. Dynamics and Bifurcations(Texts in Ap-plied Mathematics Volume 3). New York:Springer-Verlag Halpern B S, Longo C, Hardy D, et al. 2012. An index to assess the health and benefits of the global ocean. Nature, 488(7413):615-620 Halpern B S, Walbridge S, Selkoe K A, et al. 2008. A global map of hu-man impact on marine ecosystems. Science, 319(5865):948-952 Heimsund B O, Berntsen J. 2004. On a class of ocean model instabilit-ies that may occur when applying small time steps, implicit methods, and low viscosities. Ocean Modelling, 7(1-2):135-144 Hirsch M W, Smale S, Devaney R L. 2004. Differential Equations, Dy-namical Systems and an Introduction to Chaos. 2nd ed. Ams-terdam:Elsevier/Academic Press Holling C S. 1973. Resilience and stability of ecological systems. An-nual Review of Ecology and Systematics, 4(1):1-23 Jackson J B C, Kirby M X, Berger W H, et al. 2001. Historical overfish-ing and the recent collapse of coastal ecosystems. Science, 293(5530):629-638 Kirk P D W, Toni T, Stumpf M P H. 2008. Parameter inference for bio-chemical systems that undergo a Hopf bifurcation. Biophysical Journal, 95(2):540-549 Kuznetsov Y A. 2004. Elements of Applied Bifurcation Theory. New York:Springer-Verlag Liu Zhe, Wei Hao, Bai Jie, et al. 2007. Nutrients seasonal variation and budget in Jiaozhou Bay, China:A 3-dimensional physical-bio-logical coupled model study. Water, Air & Soil Pollution:Focus, 7(6):607-623 Lotze H K, Lenihan H S, Bourque B J, et al. 2006. Depletion, degrada-tion, and recovery potential of estuaries and coastal seas. Sci-ence, 312(5781):1806-1809 McCann K, Hastings A. 1997. Re-evaluating the omnivory-stability re-lationship in food webs. Royal Socociety of London Proceeding, 264(1385):1249-1254 McCreary J P, Kohler K E, Hood R R, et al. 1996. A four-component ecosystem model of biological activity in the Arabian Sea. Pro-gress in Oceanography, 37(3-4):193-240 Millennium Ecosystem Assessment(MA). 2005. Ecosystems and Hu-man Well-Being:Synthesis Report. Washington DC:Island Press Morris D J, Speirs D C, Cameron A I, et al. 2014. Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea:Factors affecting the biomass of fish and benthos. Ecological Modelling, 273:251-263 Myers R A, Worm B. 2003. Rapid worldwide depletion of predatory fish communities. Nature, 423(6937):280-283 Steele J H. 1962. Environmental control of photosynthesis in the sea. Limnology & Oceanography, 7(2):137-150 Steele J H, Henderson E W. 1992. The role of predation in plankton models. Journal of Plankton Research, 14(1):157-172 Tian Rucheng, Chen Changsheng, Qi Jianhua, et al. 2015. Model study of nutrient and phytoplankton dynamics in the Gulf of Maine:Patterns and drivers for seasonal and interannual vari-ability. ICES Journal of Marine Science, 72(2):388-402 Vichi M, Masina S, Navarra A. 2007. A generalized model of pelagic biogeochemistry for the global ocean ecosystem. Part Ⅱ:Nu-merical simulations. Journal of Marine Systems, 64(1-4):110-134 Wang Hongli, Feng Jianfeng. 2006. Ecosystem Dynamics and Fore-casting of Algal Blooms(in Chinese). Tianjin:Tianjin Uni-versity Press Zheng Wei, Shi Honghua, Fang Guohong, et al. 2012. Global sensitiv-ity analysis of a marine ecosystem dynamic model of the Sanggou Bay. Ecological Modelling, 247(4):83-94
点击查看大图
计量
- 文章访问数: 1160
- HTML全文浏览量: 55
- PDF下载量: 911
- 被引次数: 0