Asset Details
Do you wish to reserve the book?
Habitat Suitability Modelling of White-Bellied Pangolin (Phataginus tricuspis) in Oluwa Forest Reserve, Ondo State, Nigeria
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Habitat Suitability Modelling of White-Bellied Pangolin (Phataginus tricuspis) in Oluwa Forest Reserve, Ondo State, Nigeria
Do you wish to request the book?
Habitat Suitability Modelling of White-Bellied Pangolin (Phataginus tricuspis) in Oluwa Forest Reserve, Ondo State, Nigeria
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Habitat Suitability Modelling of White-Bellied Pangolin (Phataginus tricuspis) in Oluwa Forest Reserve, Ondo State, Nigeria
2024
Overview
Most endangered species face a significant threat from habitat loss. The destruction and degradation of natural tropical forest across West Africa has likely been the biggest threat to White-bellied Pangolin and has contributed to their decline as they depend on the habitat for different resources like food, water, and shelter. The current study investigated the habitat suitability of white-bellied pangolins in Oluwa Forest Reserve. The presence data of White-bellied pangolin was collected by taking the Global Positioning System (GPS) coordinates of the indirect signs observed. These data, along with the 19 bioclimatic variables, slopes, soil PH, soil texture, distance to rivers, distance to roads, and Normalized Difference Vegetation Index (NDVI), were used to generate habitat suitability maps using MaxEnt software. The MaxEnt analysis showed that out of 781 km
available for White bellied Pangolin during dry season, 338 km
was highly suitable, 209 km
was suitable, 126 km
was moderately suitable, 65 km
was less suitable and 44 km
was not suitable. During the wet season 235 km
was highly suitable, 225 km
was suitable, 164 km
was moderately suitable, 100 km
was less suitable and 57 km
was not suitable habitat. The jackknife test of variable contribution revealed that during the dry season, NDVI was the most important predictor variable as measured by the gain produced by a one-variable model, followed by aspects such as distance to the river, slope, distance to the road, and temperature seasonality. During the wet season, the jackknife-cross-validation test showed the highest gain when NDVI was used in isolation. Aspects were found to be the second most important predictor variable as measured by the gain produced by a one-variable model, followed by distance to the road, slope, elevation, and the mean temperature of the wettest quarter.
Publisher
Sciendo,De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
