Towards predicting the potential distribution areas of phacochoerus Africanus (gmelin 1788) and potamochoerus porcus (linnaeus 1758) in Benin using specific model algorithms
The mistake is to think that reducing losses in tropical ecosystems is enough to control generally irreversible global change. Suids are found in biodiversity hotspots in Benin, providing enormous ecosystem services that help mitigate the impacts of climate change-related disturbances. This work rightly contributes to the assessment of the effects of climate variability on the future distribution of the Red river hog and the Common warthog in Benin. Following the occurrences collected on the GBIF platform, previous work and those collected in the field, non-climatic and climatic environmental data likely to influence their presence were used while reducing sampling errors. ArcGis software was used through the SDM Tools extension to prepare the data. Modelling was carried out using R software. The AUC, TSS, COR and deviance metrics were considered for the selection of the best model through the present and future RCP 8.5 scenarios by using the GLM, Random Forest and Maxent algorithms. For all species, the AUC and TSS of the Random Forest algorithm gave the highest values. With a quasi-regression of these favourable areas in the north and centre, the Common warthog remains more subject to the effects of climatic variability in Benin than the Red river hog. It is important to better orientate awareness-raising approaches, to carry out educational training on the mitigation of the effects of climate change while ensuring the provision of income generating/benefit activities that respect the environment. The creation of a database on the degree of threat specific to these suids and the updating of data on the status of their preferred areas in Benin is necessary. Keywords: Biodiversity conservation, Climate change, Adaptive and integrated management, Sustainable forest management, Research. ID: 3622243
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| Format: | Article biblioteca |
| Language: | English |
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FAO ;
2022
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| Online Access: | https://openknowledge.fao.org/handle/20.500.14283/cc1698en http://www.fao.org/3/cc1698en/cc1698en.pdf |
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