Mapping Biodiversity Through Time and Space: Patterns and Drivers of Fabaceae Collection in Mozambique

ABSTRACT Despite the extensive diversity of African flora, significant gaps remain in taxonomic research and biodiversity conservation, including under‐sampling in highly diverse regions, a shortage of taxonomic expertise, limited financial resources and delays in species descriptions. Type specimens act as effective proxies for tracking the discovery and description of species, providing a historical baseline for assessing taxonomic effort and our understanding of biodiversity. This study presents the first comprehensive analysis of Fabaceae species collected in Mozambique, one of the most diverse and ecologically important plant families in the region. It offers new insights into the taxonomic, spatial and temporal patterns shaping current botanical knowledge through an analysis of Fabaceae type specimens collected in Mozambique. We identified 273 type specimens, including 126 recognised taxa, with a notable proportion of endemism (44 strict‐endemic and 18 near‐endemic taxa) and a predominance of woody growth forms. Nearly 40% of these taxa lack IUCN conservation assessments, highlighting significant information gaps. The findings reveal that collection activity peaked during colonial botanical initiatives, driven by a small group of prolific collectors and influenced by spatial biases towards southern and central provinces. Using generalised linear modelling, we demonstrate that collection locations were significantly affected by elevation, slope, land cover and proximity to roads and harbours, reflecting the interaction between biogeographic patterns and accessibility. By identifying these historical and geographic biases, our study deepens understanding of Mozambique's botanical heritage and provides a crucial baseline for future floristic and conservation efforts in underexplored regions. Furthermore, this research underscores the vital role of herbarium type specimens as scientific resources supporting taxonomic research and conservation planning, emphasising the importance of preserving and digitising these collections to enhance their accessibility and utility.