Climate change and Pentaclethra macrophylla Benth: Forecasting alterations in native distributional range across West and Central Africa

Authors

  • Akwaji Patrick Ishoro Department of Plant and Ecological Studies, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115, Calabar, Cross River State, Nigeria
  • Onah Dough Owojoku Department of Plant and Ecological Studies, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115, Calabar, Cross River State, Nigeria
  • Ajikah Linus Bashie Department of Plant and Ecological Studies, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115, Calabar, Cross River State, Nigeria
  • Oden Glory Nicholas Department of Plant and Ecological Studies, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115, Calabar, Cross River State, Nigeria
  • Okon Ekeng Ita Department of Plant Sciences and Biotechnology, Faculty of Biological Sciences, University of Cross River State (Unicross), Calabar, Cross River State, Nigeria
  • Nkang Nkoyo Ani Department of Science Laboratory Technology, Faculty of Biological Sciences, University of Calabar, P.M.B 1115, Calabar, Cross River State, Nigeria
  • Amaraizu Mary Nneoma Faculty of Law, University of Calabar, P.M.B. 1115, Calabar, Cross River State, Nigeria
  • Ugbogu Omokafe Alaba Department of Forest Conservation and Protection, Forestry Research Institute of Nigeria (FRIN), Jericho Hills, Ibadan, Oyo State, Nigeria

DOI:

https://doi.org/10.5281/zenodo.13835195

Keywords:

Forecast, Tree species, MaxEnt model

Abstract

The tree species known as the African oil bean (Pentaclethra macrophylla Benth) retains numerous applications. For rural residents, almost all of its traded elements represent a significant source of income. Numerous terrestrial habitats have reportedly experienced negative biological, temporal, and spatial effects concerning climate change lately. Understanding the out-turn of changing climate towards the geographic distribution of species could help predict their growth or decline and, if necessary, provide appropriate conservation measures. We examined whether climate change will affect the geographical distribution of this species throughout its native distributional area across West and Central Africa in light of the strong interest that this species holds for rural African residents. Under AfriClim RCP 8.5 scenario 2070 conditions, the inquiry was carried out by applying the MaxEnt model. According to the MaxEnt results, climate change shall hold a major footprint toward species' native spread. About 5% (5889 km2) of the nations across West and Central Africa are predicted to have stable species populations. These are mostly the regions located along the southern coasts of Guinea Bissau, Sierra Leone, Liberia, Cote d'Ivoire, Nigeria, Cameroon, and Gabon. The model threshold indicated a huge 95.29% (119135.9 km2) reduction in the species' appropriate habitat. The southern coasts of Senegal, Ghana, Togo, and the Benin Republic, along with the Democratic Republic of the Congo, are predicted to be unsuitable, as are the topmost northern portions associated with the Sahel regions of West and Central African countries. Additionally, it is expected that the entire Burkina Faso, Central African Republic, Democratic Republic of the Congo, and south-eastern Angola will no longer be appropriate for the species. It is necessary to build up the preservation of the species by raising and establishing it in the anticipated suitable areas/agroforestry plan to ensure its sustainable usage and practicable conservation.

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2024-09-26

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Ishoro, A. P., Owojoku, O. D., Bashie, A. L., Nicholas, O. G., Ekeng Ita, O., Ani, N. N., Nneoma, A. M., & Alaba, U. O. (2024). Climate change and Pentaclethra macrophylla Benth: Forecasting alterations in native distributional range across West and Central Africa . Journal of Wildlife and Biodiversity, 8(4), 220–246. https://doi.org/10.5281/zenodo.13835195

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Vol. 8 No. 4 (2024): Journal of Wildlife and Biodiversity

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