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Minimum required number of specimen records to develop accurate species distribution models
Species distribution models (SDMs) are widely used to predict the occurrence of species. Because SDMs generally use presence-only data, validation of the predicted distribution and assessing modelExpand
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Africa's hotspots of biodiversity redefined
A key problem for conservation is the coincidence of regions of high biodiversity with regions of high human impact. Twenty-five of the most threatened centers of plant diversity were identified byExpand
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Begonias and African rain forest refuges: general aspects and recent progress
In tropical Africa during the last glacial the climate was cooler and drier and the ram forest retreated. It remained present in several small forest refuge areas only. The species of two sections ofExpand
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Quantifying the domestic market in herbal medicine in Benin, West Africa.
ETHNOPHARMACOLOGICAL RELEVANCE Herbal medicine markets are essential in understanding the importance of medicinal plants amongst a country's inhabitants. They are also instrumental in identifyingExpand
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Exploring the floristic diversity of tropical Africa
BackgroundUnderstanding the patterns of biodiversity distribution and what influences them is a fundamental pre-requisite for effective conservation and sustainable utilisation of biodiversity. SuchExpand
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Beyond trees: biogeographical regionalization of tropical Africa.
Aim: To delineate bioregions in tropical Africa and determine whether different plant growth forms (trees, terrestrial herbs, lianas and shrubs) display the same pattern of regionalization, diversityExpand
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ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data
TLDR
We develop ConR, a software package to perform large‐scale multispecies calculations of the three main criterion B parameters [extent of occurrence (EOO), area of occupancy (AOO) and an estimate of the number of locations] and provide preliminary conservation assessments using an automated batch process. Expand
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