Modelling the Impact of Human Population and Its Associated Pressure on Forest Biomass and Forest-Dependent Wildlife Population

Mathematical models have been widely used to explain the system originating from human-nature interaction, investigate the impacts of various components, and forecast system behaviour. This paper provides a profound reference to the current state of the art regarding the application of mathematical...

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Bibliographic Details
Published in:Journal of applied mathematics 2023-01, Vol.2023, p.1-9
Main Authors: Fanuel, Ibrahim M., Kajunguri, Damian, Moyo, Francis
Format: Article
Language:English
Subjects:
Analysis
Biodiversity
Biomass
Complex systems
Consumption (Economics)
Deforestation
Developing countries
Dynamical systems
Economic growth
Economic models
Forests
Households
Human beings
Industrial development
Influence on nature
LDCs
Mathematical models
Multidimensional methods
Natural resources
Parameter sensitivity
Population growth
Poverty
Uncertainty
Wildlife
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Summary:Mathematical models have been widely used to explain the system originating from human-nature interaction, investigate the impacts of various components, and forecast system behaviour. This paper provides a profound reference to the current state of the art regarding the application of mathematical models to study the impact of human population and population pressure on forest biomass and forest-dependent wildlife. The review focused on two aspects, namely, model formulation and model analysis. In model formulation, the review revealed that socioeconomic status influences forest resource consumption patterns, thus, stratification of the human population based on economic status is a critical phenomenon in modelling human-nature interactions; however, this component has not been featured in the reviewed models. Regarding model analysis, in most of the reviewed work, single parameter approach was utilized to perform uncertainty quantification of the model parameter; this approach has been proven to be inadequate in measuring the uncertainty and sensitivity of the parameter. Thus, the use of correlation or variance based methods, which are multidimensional parameter space methods are of significant importance. Generally, despite the limitations of many assumptions in mathematical modelling, it is revealed that mathematical models demonstrate the ability to handle complex systems originating from interactions between humans and nature.
ISSN:1110-757X
1687-0042
DOI:10.1155/2023/4826313