Application of multivariate analysis to identify soil landscapes in the Pantanal of Mato Gr.pdf

Symposium no. 02 Paper no. 1902 Presentation: poster 1902-1 Application of multivariate analysis to identify soil landscapes in the Pantanal of Mato Grosso- Brazil COUTO Eduardo Guimar?es (1) and CUNHA Cátia Nunes da (2) (1) Departamento de Solos e Engenharia Rural, Universidade Federal do Mato Grosso, 78 060-900 Cuiabá, Brazil (2) Departamento de Botanica e EcologiaUFMT/ICB, 78.060.900 Cuiabá, Brazil Abstract In the center of South America, 15 ?20o south of the equator, there is one of the largest wetlands of the world, the Pantanal of Mato Grosso, created by upper Paraguay River and its tributaries in a large depression. About 140,000 km2 belong to Brazil, 15,000 km2 to Bolivia, and 5,000 km2 to Paraguay. Without any doubt, the Pantanal deserves special attention for conservation. It is ?globally outstanding? (rank 1 of 4) in terms of biological distinctiveness, ?vulnerable? (rank 3 of 5) in terms of conservation, and has ?highest priority? (rank 1 from 4) in regional priorities for conservation action according to a conservation assessment of WWF and the Biodiversity Support Program. The Pantanal of Mato Grosso-Brazil presents distinct soil landscape units: permanently, occasionally and periodically flooded areas. In the last ones, sampling is specially difficult due to the high heterogeneity occurring inter and intrastratas. Thus, it is very important for soil scientists to identify and relate the different landscapes in Pantanal of Mato Grosso ecosystem with soil and vegetation types. In order to study these relationships, soil samples were collected and analyzed for physical and chemical soil attributes in three ecosystems: grass-tree savanna (Campo de Murundu), savanna forest (Cerrad?o) and natural grass field (Campo de Mimoso). In order to study these relationships, soil samples were collected and analyzed for physical and chemical soil attributes in three ecosystems: grass-tree savanna (Campo de Murundu), savanna forest (Cerrad?o) and natural grass field (C