Authors: Olena Boiko*, South Dakota State University
Topics: Environment, Africa, Remote Sensing
Keywords: tropical forests, deforestation, Cote d’Ivoire, reserved forest, Landsat, land-cover changes, tropical forest degradation
Session Type: Poster
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
The tropical forest biome is the most biologically diverse and yields many ecosystem goods and services that support human well-being. The value of these resources ultimately defines the targets of deforestation practices and the importance of preventing them. To understand the underlying causes and the trajectories of land cover changes related to deforestation and forest degradation, we need to start by reading and interpreting changes to the landscape. This poster is a case study of the Mabi-Yaya-Songan-Tamin reserved forests of Cote d’Ivoire, a country that has the highest deforestation rates in sub-Saharan Africa. I focus on two objectives: the production of a detailed land cover map in the Mabi-Yaya-Songan-Tamin reserved forests in 1986, 1999, and 2017; and a comparison of land cover changes within and outside the boundary of the protected area. Change detection is based on visual interpretation of Landsat satellite images in ArcMap with the Rapid Land Cover Mapper Add-in. To review the effectiveness of the current forest protection strategies, I compare land cover changes within three zones of the study area: Mabi-Yaya, Songan-Tamin forest reserves, and the 10-km unprotected buffer zone outside the protected area boundary. I conclude that the term “forest degradation” depicts land cover changes in the study area better than “deforestation”, because the main change observed is the modification of dense forest into a heterogeneous and fragmented forest landscape. Also, the results suggest that forest degradation has not been effectively prevented in the Songan-Tamin reserved forest.