Modeling Earth Systems and Environment

, Volume 4, Issue 3, pp 1225–1238 | Cite as

Modelling the current and future distribution of Kigelia africana under climate change in Benin, West Africa

  • Meminvegni Landry Gildas GuidiganEmail author
  • Fortuné Azihou
  • Rodrigue Idohou
  • Appollonia Amiosino Okhimamhe
  • Adandé Belarmain Fandohan
  • Brice Sinsin
  • Lucette Adet
Original Article


Kigelia africana (Bignoniaceae), is an indigenous species widely recognised for its medicinal, magic uses and therapeutic virtue used throughout Africa and especially in Benin Republic. Distribution of the species coincides with that of the intermediate hosts as determined by environmental factors. This study aimed to model the present-day and future distribution of Kigelia africana in Benin. Maximum Entropy (MaxEnt) modelling technique was used to predict the distribution of suitable habitats of Kigelia africana using presence data combined with two future forescats: CNRM-CM5and HadGEM2-ES. Results showed that Annual Temperature range, precipitation seasonality, soil, temperature seasonality, maximum temperature of the warmest month were most significant variables. Which mean that the excellent of the model. Likewise, must of the distribution of the species will be find mostly stable. The different model used identified different areas as highest conservation priority although the highest priority areas keeping most of Kigelia africana species are located in the Guineo-Congolian and Sudano-Guinean region. Additional analyses could help to have more information about the distribution and population and cultivation of Kigelia africana species, which in future will help us to improve operative conservation strategies for this medicinal species. MaxEnt model is robust in Kigelia africana species habitat modelling.


Kigelia africana Biodiversity Climate change Representative concentration pathways Ecological niche GIS 



This study was supported by the West African Science Service Center on Climate Change and Adapted Land Use (WASCAL) and the German Ministry of Education and Research (BMBF). Thanks to the management of the Federal University of Technology (FUT) Minna for offering enabling learning environment necessary for the success of this research.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Meminvegni Landry Gildas Guidigan
    • 1
    • 2
    • 4
    Email author
  • Fortuné Azihou
    • 2
  • Rodrigue Idohou
    • 3
  • Appollonia Amiosino Okhimamhe
    • 1
  • Adandé Belarmain Fandohan
    • 4
  • Brice Sinsin
    • 2
  • Lucette Adet
    • 1
  1. 1.West African Science Service Center on Climate Change and Adapted Land Use (WASCAL CC&ALU)Federal University of Technology, Minna, PMB 65MinnaNigeria
  2. 2.Laboratory of Applied Ecology, Faculty of Agronomic SciencesUniversity of Abomey-CalaviCotonouBenin
  3. 3.Laboratory of Biomathematics and Forest Estimations, Faculty of Agronomic ScienceUniversity of Abomey-CalaviCotonouBenin
  4. 4.Université nationale d’agriculture École de foresterie et ingénierie du bois Unité de recherche en foresterieKétouBenin

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