Many ecological studies have tried to explain the animal migrations, but none has embarked on modeling the Great Migration and its impact on the migratory animals’ population dynamics, in combination with food and the impact of predation. In this paper, we present a mathematical model of the four dynamic Ordinary Differential Equations of Grass, Herbivores, Lions and Crocodiles. Using secondary data covering ten years 1996-2006 we estimated the parameters in the model. The grass forage grew periodically, the herbivores population grew, the predation rate of lions grew and so did its population. But the crocodiles’ population grew less. The study has shown that there was no extinction and migration continued. Herbivores population grew provided that there was enough food.
Published in | Applied and Computational Mathematics (Volume 3, Issue 4) |
DOI | 10.11648/j.acm.20140304.13 |
Page(s) | 125-129 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Great Migration, Grass, Herbivores, Lions, Crocodiles, Predation, Prey, Serengeti, Masai Mara
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[3] | Holdo, R. M., Holt, R. D., and Fryxell, J.M. (2009). Opposing rainfall and pant nutritional grsdients best explain the wildebeest migration in the Serengeti. The American Naturalist, 173 (4), 431-445. |
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[5] | Mduma S.A.R, Sinclair A.R.E. AND Hiborn, R. (1999). Food regulates the Serengeti Wildbeest: a 40-year record. Journal of Animal Ecology, 68, 1101-1122 |
[6] | Musiega, D. E., and Kazadi, S.N. (2004). Simulating the East African Wildebeest Migration Patterns using GIS and remote sensing. African Journal of Ecology, 42 (4), 355-362. |
[7] | Pennycuick, C.J. (1975). On the running of gnu (Connochaetes taurinus) and other animals. Journal of Experimental Biology. 63, p.775-799. |
[8] | Stratton, D. (2010). Wildebeest in Serengeti: limits to exponential growth. University of Chicago Press. |
[9] | Sinclair, A. R. E, Arcese, P. (1995). Serengeti II: Dynamics, management and conservation of an ecosystem. University of Chicago Press, Chicago. |
[10] | Wilmhurst, J. F. Fryxell, J. M., Fram, B.P., Sinclair, A. R. E., Henschel, C. P. (1999). Spatial Distribution of Serengeti Wildebeest in relation to Resources. Can. J. Zool.77, 1223-1232. |
[11] | Wolanski, E. & Gereta, E. (2001) .The water quality and quantity as the factors driving the Serengeti ecosystems, Tanzania. Hydrobiologia 458, 169–180. |
APA Style
Janeth James Ngana, Livingstone Serwadda Luboobi, Dmitry Kuznetsov. (2014). Modelling the Migratory Population Dynamics of the Serengeti Ecosystem. Applied and Computational Mathematics, 3(4), 125-129. https://doi.org/10.11648/j.acm.20140304.13
ACS Style
Janeth James Ngana; Livingstone Serwadda Luboobi; Dmitry Kuznetsov. Modelling the Migratory Population Dynamics of the Serengeti Ecosystem. Appl. Comput. Math. 2014, 3(4), 125-129. doi: 10.11648/j.acm.20140304.13
AMA Style
Janeth James Ngana, Livingstone Serwadda Luboobi, Dmitry Kuznetsov. Modelling the Migratory Population Dynamics of the Serengeti Ecosystem. Appl Comput Math. 2014;3(4):125-129. doi: 10.11648/j.acm.20140304.13
@article{10.11648/j.acm.20140304.13, author = {Janeth James Ngana and Livingstone Serwadda Luboobi and Dmitry Kuznetsov}, title = {Modelling the Migratory Population Dynamics of the Serengeti Ecosystem}, journal = {Applied and Computational Mathematics}, volume = {3}, number = {4}, pages = {125-129}, doi = {10.11648/j.acm.20140304.13}, url = {https://doi.org/10.11648/j.acm.20140304.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20140304.13}, abstract = {Many ecological studies have tried to explain the animal migrations, but none has embarked on modeling the Great Migration and its impact on the migratory animals’ population dynamics, in combination with food and the impact of predation. In this paper, we present a mathematical model of the four dynamic Ordinary Differential Equations of Grass, Herbivores, Lions and Crocodiles. Using secondary data covering ten years 1996-2006 we estimated the parameters in the model. The grass forage grew periodically, the herbivores population grew, the predation rate of lions grew and so did its population. But the crocodiles’ population grew less. The study has shown that there was no extinction and migration continued. Herbivores population grew provided that there was enough food.}, year = {2014} }
TY - JOUR T1 - Modelling the Migratory Population Dynamics of the Serengeti Ecosystem AU - Janeth James Ngana AU - Livingstone Serwadda Luboobi AU - Dmitry Kuznetsov Y1 - 2014/07/30 PY - 2014 N1 - https://doi.org/10.11648/j.acm.20140304.13 DO - 10.11648/j.acm.20140304.13 T2 - Applied and Computational Mathematics JF - Applied and Computational Mathematics JO - Applied and Computational Mathematics SP - 125 EP - 129 PB - Science Publishing Group SN - 2328-5613 UR - https://doi.org/10.11648/j.acm.20140304.13 AB - Many ecological studies have tried to explain the animal migrations, but none has embarked on modeling the Great Migration and its impact on the migratory animals’ population dynamics, in combination with food and the impact of predation. In this paper, we present a mathematical model of the four dynamic Ordinary Differential Equations of Grass, Herbivores, Lions and Crocodiles. Using secondary data covering ten years 1996-2006 we estimated the parameters in the model. The grass forage grew periodically, the herbivores population grew, the predation rate of lions grew and so did its population. But the crocodiles’ population grew less. The study has shown that there was no extinction and migration continued. Herbivores population grew provided that there was enough food. VL - 3 IS - 4 ER -