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Plant Diversity Hotspots in the Atlantic Coastal Forests of Brazil
Authors:CHARLOTTE MURRAY-SMITH‡  NEIL A BRUMMITT  ARY T OLIVEIRA-FILHO†  STEVEN BACHMAN  JUSTIN MOAT  EIMEAR M NIC LUGHADHA  EVE J LUCAS§
Institution:Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, United Kingdom;Departamento de Ciências Florestais, Universidade Federal de Lavras, 37200-000, Lavras, MG, Brazil
Abstract:Abstract:  Plant-diversity hotspots on a global scale are well established, but smaller local hotspots within these must be identified for effective conservation of plants at the global and local scales. We used the distributions of endemic and endemic-threatened species of Myrtaceae to indicate areas of plant diversity and conservation importance within the Atlantic coastal forests ( Mata Atlântica ) of Brazil. We applied 3 simple, inexpensive geographic information system (GIS) techniques to a herbarium specimen database: predictive species-distribution modeling (Maxent); complementarity analysis (DIVA-GIS); and mapping of herbarium specimen collection locations. We also considered collecting intensity, which is an inherent limitation of use of natural history records for biodiversity studies. Two separate areas of endemism were evident: the Serra do Mar mountain range from Paraná to Rio de Janeiro and the coastal forests of northern Espírito Santo and southern Bahia. We identified 12 areas of approximately 35 km2 each as priority areas for conservation. These areas had the highest species richness and were highly threatened by urban and agricultural expansion. Observed species occurrences, species occurrences predicted from the model, and results of our complementarity analysis were congruent in identifying those areas with the most endemic species. These areas were then prioritized for conservation importance by comparing ecological data for each.
Keywords:biodiversity hotspots  complementarity  conservation assessments  endemism  Mata Atlântica  Myrtaceae  predictive modeling
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