This project analyzes the effects of deforestation on amphibian populations in tropical regions over time. It will explore population declines, shifts in geographic distribution, and correlations with habitat loss and climate variables. The project will utilize programming and analytical methods such as Python for data cleaning, integration, statistical analysis, and visualization using libraries like Pandas, NumPy, Matplotlib, and Scikit-learn. R will be used for advanced statistical modeling and time-series analysis. MaxEnt will be applied for habitat suitability modeling, and QGIS/ArcGIS will support spatial data analysis and mapping. The goal is to provide actionable insights for conservation strategies
The mission of this project is to investigate the long-term effects of deforestation on amphibian population dynamics in tropical regions, aiming to uncover critical insights for conservation strategies. By integrating data on amphibian populations, habitat loss, and climate variables, the study will analyze trends in population declines, geographic distribution shifts, and the fragmentation of natural habitats. Leveraging advanced statistical techniques, machine learning models, spatial mapping, and habitat suitability modeling, this project seeks to identify key drivers of amphibian population changes. The findings will culminate in comprehensive visualizations, GIS maps, and actionable recommendations to guide conservation efforts, fostering a deeper understanding of how deforestation impacts biodiversity.