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

被引:3
作者
Fanuel, Ibrahim M. [1 ,2 ]
Mirau, Silas [1 ]
Kajunguri, Damian [3 ]
Moyo, Francis [4 ]
机构
[1] Nelson Mandela African Inst Sci & Technol, Dept Appl Math & Computat Sci, Arusha, Tanzania
[2] Coll Business Educ, Dept ICT & Math, Mwanza, Tanzania
[3] Kabale Univ, Dept Math, Kabale, Uganda
[4] Nelson Mandela African Inst Sci & Technol, Dept Biodivers Conservat & Ecosyst Management, Arusha, Tanzania
关键词
Uncertainty quantification; Conservation; Forest biomass; Forest-dependent wildlife population; Hypercube Latin sampling; SENSITIVITY-ANALYSIS; RESOURCES; PRESSURE; DEPLETION;
D O I
10.1016/j.heliyon.2023.e16948
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:18
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