Conservation of forest biomass and forest-dependent wildlife population: Uncertainty quantification of the model parameters.

Heliyon

Department of Biodiversity Conservation and Ecosystem Management, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.

Published: June 2023

AI Article Synopsis

  • The growing human population is causing serious ecological issues, like forest degradation and threats to wildlife survival.
  • A non-linear mathematical model has been developed to explore the relationship between forest conservation, wildlife, and human activities.
  • The study finds that while economic incentives and technological advancements can aid conservation, they have limits, and excessive exploitation can destabilize the ecosystem.

Article Abstract

The ecosystem is confronted with numerous challenges as a consequence of the escalating human population and its corresponding activities. Among these challenges lies the degradation of forest biomass, which directly contributes to a reduction in forested areas and poses a significant threat to the survival of wildlife species through the intensification of intraspecific competition. In this paper, a non-linear mathematical model to study the conservation of forest and wildlife species that are reliant on forest ecosystem within the framework of human population dynamics and its related activities is developed and analysed. The study assessed the impacts of economic measures in the form of incentives on reducing population pressure on forest resources as well as the potential benefits of technological efforts to accelerate the rate of reforestation. Qualitative and quantitative analyses reveals that economic and technological factors have the potential to contribute to resource conservation efforts. However, these efforts can only be used to a limited extent, and contrary to that, the system will be destabilised. Sensitivity analysis identified the parameters pertaining to human population, human activities, economic measures, and technological efforts as the most influential factors in the model.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272482PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e16948DOI Listing

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