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

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

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