Modeling Intervention with Respect to Biodiversity Loss: A Case Study of Forest Resource Biomass Undergoing Changing Length of Growing Season

This paper examines the extent of a system interventions against the loss of biodiversity due to an increase in the length of the growing season. By using a computationally efficient numerical scheme, we have observed that a shorter length of the growing season dominantly predicts a biodiversity loss whereas a relatively increased length of the growing season has predicted a biodiversity gain which has sufficient implication for the availability of adequate ecological-forestry services which are capable to provide a useful insight for the management of the forestry conservation and sustainable development. The novel contributions of this pioneering research has not been seen elsewhere; it is fully presented and discussed in this paper

Numerical simulation of biodiversity: comparison of changing initial conditions and fixed length of growing season

This study examined the effect of varying the initial value of industrialization for a fixed length of growing season on the prediction of biodiversity loss. We have found that when the initial value of industrialization is 0.1 under a shorter length of growing season, a relative low due of biodiversity loss can be maintained. The biodiversity loss value can be further lowered by maintaining the same length of growing season but with a reduced initial value of industrialization to 0.01 or 0.02. We would expect this alternative result to provide a further insight into our fight against biodiversity loss which has both human and sustainable development devastating effects

Evaluating the Impact of the linear Distance on Biochemical Oxygen demand and the Concentration of dissolved Oxygen of a River for fixed initial Conditions using a Computational Approach

This paper has examined the impact of the linear distance on the concentration of biochemical oxygen demand (BOD) and the concentration of dissolved oxygen (DO) of a river for fixed initial conditions using the method of a numerical scheme called ODE45. Our results are presented and discussed quantitatively

Stimulation Modelling of the Effect of Internal Migration on Urbanization in Rivers State, Nigeria

Internal migration is defined as “a movement of people from one area of a country (especially one local government area) to another area of the same country for the purpose or with the effect of establishing a new residence” either temporarily or permanently, is a complex and multidimensional process. In this study we are expected to determine the impact of internal migration in Port Harcourt city and Bori town respectively and to show the effect of the variation of some parameters that affect the growth of Port Harcourt city, through Simplified Assumptions and Mathematical Formulations. The internal migration of effective working population from Port Harcourt city to Bori town is lesser than that of Bori town to Port Harcourt city due to lesser jobs and social infrastructural facilities in Bori than Port Harcourt. Method of Analysis used is a non-linear ordinary differential equation of order 45 which otherwise is called O.D.E 45(Matlab ODE 45). It is evident from the results of the study that the variation of the rate of internal migration can produce either a positive or a negative effect on the population growth patterns of the two interacting population predictions

Modelling the Increasing Differential Effects of the First Inter-Competition Coefficient on the Biodiversity Value; Competition between two Phytoplankton Species

One of the intrinsic factors that affects the growth of two phytoplankton species is called the inter-competition coefficient. When this parameter value is decreased, the first phytoplankton specie benefit from biodiversity gain whereas the second phytoplankton specie is vulnerable to biodiversity loss. In contrast, when the same parameter value is increased from the value of 0.0525 to 0.099 the first phytoplankton specie dominantly suffers from a biodiversity loss whereas the second phytoplankton specie benefits from a biodiversity gain. The novel results that we have obtained have not been seen elsewhere but compliments our current contribution to knowledge in this challenging interdisciplinary research; these full results are presented and discussed quantitatively