Theses and Dissertations
ORCID
https://orcid.org/0000-0002-3550-2110
Issuing Body
Mississippi State University
Advisor
Ambinakudige, Shrinidhi
Committee Member
Pricope, Narcisa
Committee Member
Dash, Padmanava
Date of Degree
12-13-2024
Original embargo terms
Visible MSU only 1 year
Document Type
Graduate Thesis - Campus Access Only
Major
Geosciences (Geospatial Sciences)
Degree Name
Master of Science (M.S.)
College
College of Arts and Sciences
Department
Department of Geosciences
Abstract
This study examines land cover changes and their projected future impacts on bird species conservation in and around Nairobi National Park, Kenya. 2016 and 2023 Satellite imagery, analyzed through Google Earth Engine and the MOLUSCE plugin were used to assess changes in five land cover types: grassland, shrubland, forest, urban, and water. Bird population data from the Kenya Bird Map were used to evaluate birds' responses to land cover changes. Birds were categorized into five habitat guilds—grassland-dependent, shrubland-dependent, forest-dependent, water-dependent, and urban-dependent bird species. Between 2016 and 2023, grassland and shrubland decreased by 14.21% and 5.54%, respectively, and urban increased by 19.85%. 2040 projection indicates declines in grassland (19.6%), shrubland (16%), and forest (5.64%), and increase in urbanization by 58.8% which reflect fluctuations in bird populations: grassland-dependent species declined by 27.5%, shrubland-dependent species declined by 6.3%, while forest-dependent, water-dependent, and urban-dependent species increased by 168%, 35.7%, and 101.5%.
Recommended Citation
Ong'ondo, Frank Juma, "Projecting land cover changes and impacts on bird conservation using geographic information system, remote sensing and a Cellular Automata – Artificial Neural Network model in Nairobi National Park, Kenya." (2024). Theses and Dissertations. 6369.
https://scholarsjunction.msstate.edu/td/6369