Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023041555 |
| _version_ | 1797809096170143744 |
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| author | Ibrahim M. Fanuel Silas Mirau Damian Kajunguri Francis Moyo |
| author_facet | Ibrahim M. Fanuel Silas Mirau Damian Kajunguri Francis Moyo |
| author_sort | Ibrahim M. Fanuel |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T06:48:31Z |
| format | Article |
| id | doaj.art-85f4cfb659ba4ba9b4f6ef7771525cc5 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-13T06:48:31Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-85f4cfb659ba4ba9b4f6ef7771525cc52023-06-08T04:19:37ZengElsevierHeliyon2405-84402023-06-0196e16948Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parametersIbrahim M. Fanuel0Silas Mirau1Damian Kajunguri2Francis Moyo3Department of Applied Mathematics and Computational Science, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania; Department of ICT and Mathematics, College of Business Education, Mwanza, Tanzania; Corresponding author at: Department of Applied Mathematics and Computational Science, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.Department of Applied Mathematics and Computational Science, Nelson Mandela African Institution of Science and Technology, Arusha, TanzaniaDepartment of Mathematics, Kabale University, Kabale, UgandaDepartment of Biodiversity Conservation and Ecosystem Management, Nelson Mandela African Institution of Science and Technology, Arusha, TanzaniaThe 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.http://www.sciencedirect.com/science/article/pii/S2405844023041555Uncertainty quantificationConservationForest biomassForest–dependent wildlife populationHypercube Latin sampling |
| spellingShingle | Ibrahim M. Fanuel Silas Mirau Damian Kajunguri Francis Moyo Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters Heliyon Uncertainty quantification Conservation Forest biomass Forest–dependent wildlife population Hypercube Latin sampling |
| title | Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters |
| title_full | Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters |
| title_fullStr | Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters |
| title_full_unstemmed | Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters |
| title_short | Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters |
| title_sort | conservation of forest biomass and forest dependent wildlife population uncertainty quantification of the model parameters |
| topic | Uncertainty quantification Conservation Forest biomass Forest–dependent wildlife population Hypercube Latin sampling |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023041555 |
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