This report explores an ecological food web from the transitional shoreline-forest region of Lake Malawi. The aim is not only to draw a network, but to interpret the ecological structure of the system: which organisms form the basal resource base, which species transfer energy through the aquatic food web, which consumers connect the lake shoreline to the forest margin, and which species act as highly connected hubs or bridge species.

This document presents a fully reproducible, multi-algorithm species distribution model (SDM) for Rhampholeon chapmanorum (Chapman's Pygmy Chameleon), a Critically Endangered reptile endemic to the shrinking lowland rainforests of southern Malawi, with an estimated population decline of ~80% since the 1980s. The analysis was implemented in R using the tidysdm package (Leonardi et al., 2024) and covers the complete modelling workflow: GBIF occurrence data acquisition and coordinate cleaning, bias-corrected pseudo-absence and background sampling, WorldClim 2.1 bioclimatic variable extraction, collinearity screening, spatial block cross-validation (5-fold), ensemble modelling across four algorithms (GLM, Random Forest, Gradient Boosted Trees, MaxEnt), and present-day habitat suitability projection under the ACCESS-CM2 SSP2-4.5 (2041–2060) climate scenario. All methodological decisions are explained with reference to the primary SDM literature. Produced by Luther Mwalyambwile.

The document outlines the analysis and interpretation of results from the experiment of testing the Interactive effect of pH, Salinity and glyphosate of growth of Rhizobium bacteria