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Monday, April 9 • 5:30pm - 7:00pm
POSTER: Landscape Matrix Influence on the Tree Species Composition, of an Upper Montane Araucaria Forest in Southern Brazil

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AUTHORS: Aline Cruz*, Federal University of Santa Catarina; Pedro Higuchi, Ana Carolina Silva, Marcos Schimalski – Santa Catarina State University

ABSTRACT: The Araucaria Forest is part of an Atlantic Forest formation inserted in a landscape with different intensities of anthropic alteration: natural but usually exploited areas (fields, wetlands, forests, watercourses and water reservoirs); productive areas (agriculture and forestry); and built/urban environment. The Araucaria Forest has been drastically reduced, and landscape management is a strategy for maintaining the ecological functionality of the remnants. In this context, we aim to identify the influence of the landscape matrix on the tree species composition of nine forest fragments. The floristic data was obtained from Laboratory of Dendrology and Phytosociology at the Santa Catarina State University database. We generated land cover maps from Landsat 8 satellite images, which we classified in the Envi software, using the maximum likelihood algorithm. The two soil cover maps presented values of 98% for general accuracy and Kappa indexes of 0.98. We use Fragstats software to calculate the area of the inventoried fragments and of each land cover class inserted in landscapes. Using the R software, We order as landscape metrics through a Principal Component Analysis (PCA), and a Non Metric Multidimensional Scaling (NMDS) to order a matrix of species abundance. The first two PCA axes explained a significant portion of data variation (69,54%). We adjusted the land cover metrics to the ordering generated by the NMDS and plotted the variables with significant influence on the floristic-structural organization (p

Monday April 9, 2018 5:30pm - 7:00pm CDT
Monroe Room