International Journal of
Biodiversity and Conservation

  • Abbreviation: Int. J. Biodivers. Conserv.
  • Language: English
  • ISSN: 2141-243X
  • DOI: 10.5897/IJBC
  • Start Year: 2009
  • Published Articles: 638

Full Length Research Paper

Spatial distribution, ecological niche model of pignut and control eradication strategies in the context of climate and global change for Benin, West Africa

AÏKPON Gorgias
  • AÏKPON Gorgias
  • Laboratory of Forest Sciences, Faculty of Agronomic Sciences, University of Abomey-Calavi, BP: 1493 Calavi, Benin.
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KOURA Kourouma
  • KOURA Kourouma
  • Laboratory of Forest Sciences, Faculty of Agronomic Sciences, University of Abomey-Calavi, BP: 1493 Calavi, Benin.
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GANGLO C. Jean
  • GANGLO C. Jean
  • Laboratory of Forest Sciences, Faculty of Agronomic Sciences, University of Abomey-Calavi, BP: 1493 Calavi, Benin.
  • Google Scholar


  •  Received: 02 January 2021
  •  Accepted: 05 May 2021
  •  Published: 31 July 2021

Abstract

Benin’s native biodiversity, like other countries in the world, is facing biological invasions through the proliferation of invasive alien species. One of them, the pignut (Mesosphaerum suaveolens (L.) Kuntze, Lamiaceae), represents a serious threat to the biodiversity. The control of its spatial distribution and ecological niche are essential to understand its favorable spatial area and predict its dynamics. The objective of this study was to contribute to the biodiversity conservation. A total of 193 farmers and breeders, were subjected to a questionnaire in order to determine their knowledge with respect to M. suaveolens. The cumulative collection of occurrence data across the literature, the Global Biodiversity Information Facility (GBIF), and field data generated a total of 2900 occurrence points. Modeling across Africa using Maxent (version3.4.1) helped establish the potential and future distribution of this species. The Africlim climatic ensemble model was used with two climatic scenarios of the Intergovernmental Platform on Climate Change (IPCC): rcp4.5 and rcp8.5 horizon 2055. On 24 bioclimatic and environmental parameters tested, four bioclimatic variables who most contributed to the model were selected. Four risk level zones of invasion were identified: limited risk zone, risk zone, high risk zone, and very high risk zone.

 

Key words: Maxent, biodiversity, modeling, biological invasions, Benin, Africa.