Dataset: spatial variables for describing and mapping ecotone forests associated to the Maracá Island region, State of Roraima, northern Brazilian Amazon

Published: 28 June 2020| Version 2 | DOI: 10.17632/ctv52cbkp8.2
Elineuma Henrique dos Santos,
, Williamar Rodrigues Silva,


The dataset provides information on spatial variables (altitude, slope, drainage distance, Normalized Difference Vegetation Index - NDVI) that are useful for describing and mapping the ecotone forest zones that occur on the Maracá Island and its surroundings, State of Roraima, northern Brazilian Amazon. The study area is ~450,000 ha, with its geographic center located in Maracá Island. The altitude, slope and drainage distance maps are derived from the TOPODATA Project ( The NDVI (Normalized Difference Vegetation Index) map was obtained from Landsat TM5 images: (i) orbit 232: points 57 (03/20/2007) and 58 (03/04/2007) and (ii) orbit 233: points 57 and 58 (11/03/2007). All maps were produced in a raster format with 30 m of spatial resolution and designed for UTM / Zone 20 N, WGS 84, using the ArcGis 10.0 software (; licensed by Federal University of Roraima - UFRR). The maps were used to extract samples (pixel values) of each variable (altitude, slope, drainage distance, NDVI) from 129 permanent plots (50 mx 10 m; 6.45 ha) dispersed in the six East-West walking trails from the research grid of the Biodiversity Research Program (PPBio) (see Santos et al., 2020 - The dataset consists of three files: (i) study_site - a figure indicating the location of the study area; (ii) maps - altitude (m), slope (°), drainage distance (m), NDVI (-1: 1); (iii) environmental_variables - altitude (m), slope (°), drainage_distance (m) and NDVI (-1: 1) related to the 129 permanent plots used in the dataset. The current dataset was supported by the projects (i) SavFloRR - Ecologia e manejo dos recursos naturais de ecossistemas de savanas e florestas de Roraima (PPI INPA 015/122), and (ii) Crescimento e mortalidade de árvores em florestas ecotonais de Roraima: efeito das condicionantes ambientais e da variabilidade climática (Proc. CNPq n. 403591 / 2016-3). The Coordination for the Improvement of Higher Education Personnel (CAPES) supported E.H.S. The PELD Program provide a scholarship to W.R.S. (CNPq / CAPES / FAPs / BC-Fundo Newton; Proc. N. 441575 / 2016-1). The National Council for Scientific and Technological Development (CNPq) provided a grant to R.I. Barbosa (CNPq 304204 / 2015-3). The Chico Mendes Institute for Biodiversity Conservation (ICMBio) authorized the study (SISBIO nº 52071).



Universidade Estadual de Roraima, Universidade Federal de Roraima, Instituto Nacional de Pesquisas da Amazonia


Data Mapping