1. REGINA rosa BERYLLINDA
Modelling Suitable Growing Habitat of Prunus africana in The Gulf of Guinea Countries
Group:
Felix ABAYOMI
TROKON Grimes
Intan EDHITYA
REGINA rosa BERYLLINDA

2. INTRODUCTION: Prunus africana*
*) Montane forest: Rain forest in highland

3. INTRODUCTION: Prunus africana
Data/Map:
External Source of IUCN

4. INTRODUCTION: Prunus africana
Harvesting bark for medicinal purpose
Local use and trade of timber and bark
Degradation and deforestation on mainly harvest area
CITES LIST : Appendix II
IUCN LIST : Vulnerable

5. INTRODUCTION:
Prunus africana
(Cunningham, 2008)

6. INTRODUCTION: Prunus africana
Range States of Analysis (Gulf of Guinea Countries):
Senegal, Gambia, Guinea Bissau, Guinea, Sierra Leone, Liberia, Cote d’Ivoire, Ghana, Togo, Benin, Nigeria, Cameroon, Equatorial Guinea, Gabon In Comparison to the Area of Distribution according to IUCN

7. OBJECTIVE of the Modelling
Projects potential areas where Prunus africana can grow or areas where Prunus africana exists but have not been discovered yet in The Gulf of Guinea Countries

8. METHODOLOGY
Analysing Spatial Data In The Range States Using Geographic Information System
Modelling the Projection of Species Distribution Using MaxEnt Software

9. DATA This modelling was done based on the Countries of the Gulf of Guinea. Below are the Map of Africa and that of the Gulf of Guinea Countries with the Coordinates points in Green. (See next Slide)
Fg.1. Map of Africa
F.g.2. Map of Gulf of Guinea Countries

10. Tabel.1 Coordinates Data of Gulf of Guinea Countries
Country X Y
Senegal
Guinea
Cote D'ivoire
Ghana
Togo
Benin
Nigeria
Cameroon
Rep of Congo
Gabon
Liberia
Sierra Leone

11. Maxent model for Prunus africana The Forest Cover map was used to make the Maxent Model. The Asci file (.asc) was downloaded from earthexplorer.org into QGIS, wherein Various Terrain Analysis layers was Done as Shown Below:
F.g.3. Forest Cover
F.4. Forest Cover + Slopes

12. Maxent model for Prunus africana The Forest Cover map Terrain Analysis layers Continued:
F.g.5. Forest Cover + Slopes + Aspect Ratio
F.g.6. Forest Cover + Slopes + Aspect ratio + Hillside

13. Maxent model for Prunus africana The Forest Cover map Terrain Analysis layers Continued:
F.g.7. Forest Cover + Slopes + Aspect ratio + Hillside + Contours
F.g.8. Maxent Model

14. Picture of the model This is a representation of the Maxent model for Prunus africana. The coordinates of the area Linked with Red Colour lines show areas suitable growing habitat conditions within the Gulf of Guinea Countries.
F.g.9. Area of Suitable Growing Habitats (In the Red Triangle)

15. Countries Suitable for Prunus africana with the Gulf of Guinea From this Maxent model for Prunus africana, we can thus suggest that following countries of the Gulf of Guinea have suitable growing habitat.
Senegal, Guinea, Ivory Coast, Ghana, Togo, Benin, Nigeria , Cameroon, Equatorial Guinea and Gabon.

16. Other Relevant Maps of Africa (All Supporting the Maxent Model Above)
F.g.10. Mean Annual Rainfall
F.g.11. Mean Annual Temperature

17. Other Relevant Maps of Africa (All Supporting the Ecology of Prunus africana & Maxent Model Above)
F.g.12. Vegetation
F.g.13. Altitude Topography

18. ANALYSIS AND RESULT From the Analysis and Results above, we can see that the conditions suitable for the growth of Prunus africana in established range states by IUCN; also exists in other states of the Gulf of Guinea
F.g.14. Modelling Result

19. DISCUSSION
Prunus africana has become an important source of livelihood for many communities in certain states in Afro-montane
However, the fundamental threat to this species has been large-scale unsustainable harvesting in Afro-montane forests for international trade, resulting in the decrease of its population
The inclusion of this species into CITES Appendix II has provide prospects for sustainable management plans of Prunus africana in range states

20. DISCUSSION
It is important to define potential range states wherein the species can grow.
Previous studies was able to determine certain potential area of the population distribution.
The spatial data analysis (GIS) and MaxEnt software used in this modelling has been able to project wider scope of potential area of the population distribution by determining environmental variables which are influencing suitable growing habitat.

21. CONCLUSION
Spatial data analysis and MaxEnt modelling has resulted potential growth of Prunus africana in Gulf of Guinea Countries as follow:
Senegal, Guinea, Ivory Coast, Ghana, Togo, Benin, Nigeria , Cameroon, Equatorial Guinea and Gabon.
Environmental variables influencing the growing habitat of Prunus africana are: temperature, rainfall, altitude, topography
Recommendation:
Support investment for management conservation and forest plantation in the range states
Support better protection of the species by CITES

22. REFERRENCES
Clemente-Muñoz, M.A., et.al., Evaluation of the Harvest of Prunus africana Bark on Bioko (Equatorial Guinea): Guidelines for A Management Plan, University of Cordoba, Cordoba: 2016, p
Hall, J.B., et.al., Ecology in Biology, Chapter 2: 3-25 in Prunus africana: a Monograph, School of Agricultural and Forest Scientist Publication Number 18, University of Wales, Bangor: 2000, p.104

23. THANK YOU!