Edaphic Endemism in the Amazon: Vascular Plants of the canga of Carajás, Brazil

Autor: Ana Maria Giulietti, Mayara Pastore, José Oswaldo Siqueira, Tereza Cristina Giannini, Uiara Catharina Soares e Silva, Haroldo Cavalcante de Lima, Pedro Lage Viana, Raymond M. Harley, Marinez Ferreira de Siqueira, Daniela C. Zappi, Nara Furtado de Oliveira Mota, Jovani B. S. Pereira, José Rubens Pirani, Maurício Takashi Coutinho Watanabe, Rafael Melo de Brito
Rok vydání: 2019
Předmět:
Zdroj: The Botanical Review. 85:357-383
ISSN: 1874-9372
0006-8101
DOI: 10.1007/s12229-019-09214-x
Popis: Amazonia is one of the most diverse biomes worldwide, and, as well as luxuriant forest, it includes mountain areas which, despite their small surface area, display fascinating endemism. In these regions, the specificity of edaphic factors is mirrored by a highly specialised, isolated flora adapted to survive adverse conditions. The Serra dos Carajás in the Brazilian state of Pará is one of world’s largest iron ore reserves. Known locally as canga, this ironstone formation occupies an area of 115.9 km2, and supports campo rupestre of canga vegetation on outcrops that are mostly in the Floresta Nacional de Carajás (FLONA of Carajás) and Parque Nacional dos Campos Ferruginosos (PNCF). The recent publication of the Flora of the cangas of Carajás lists 856 species of seed plants and 186 species of ferns and lycophytes. This project assessed the canga endemic species growing in the region, and further expeditions guided by SDM were carried out in order to ascertain their distribution outisde the area. Departing from an initial list of 58 putative endemics, the final list comprises 38 species of vascular plants (c. 4% of the local flora). These are distributed in 31 genera and 22 families, including three monotypic genera: Carajasia (Rubiaceae), Monogereion and Parapiqueria (Asteraceae). From these, 24 are classified as Rare Species for Brazil and seven as Highly Restricted Endemic (EEO 2). An illustrated account is provided, as well as further SDM to detect other possible areas of distribution based on the studied species. The knowledge generated is aimed at directing appropriate conservation plans for the area.
Databáze: OpenAIRE
Externí odkaz: