title: Spatial and temporal patterns of deforestation in Rio Cajarí Extrative Reserve, Amapá, Brazil.
abstract: The Rio Cajarí Extractive Reserve (RCER) is a sustainable use protected area located in Southern Amapá state, Brazil. This protected area is home to traditional agro-extractive families, but has been increasingly invaded by commercial agriculture producers. In this work, we test the hypothesis that the RCER implementation has distinctly affected spatial patterns of deforestation and rates of bare soil and secondary forest formation by the social groups occupying the protected area and its surrounding area. Detailed maps of vegetation cover and deforestation were elaborated, based on Landsat TM images from 1991, 1998, 2007 and 2008 and Linear Spectral Mixture Models. Based on an extensive fieldwork, patches were classified according to the agents causing deforestation and characterized with ten explanatory variables. A discriminant function analysis was used to identify homogeneous groups based on the data. Results show increased rates and distinct spatial patterns of deforestation by three groups: extractivists, non traditional commercial agriculture producers, and a less representative group constituted of miners, cattle and timber producers. In all analyzed dates, clearings by the extrativist community presented the highest total area and smaller average sizes and were located in close proximity to villages. Deforestation patches by the non-traditional group were exclusively associated with ombrophilous forests; these presented higher average sizes and proximity indexes, and showed increased aggregation and large cluster formation. No significant differences were observed in deforestation patterns by the three groups inside or outside the reserve.
authors.affiliation: Programa de Pós Graduação em Biodiversidade Tropical, Universidade Federal do Amapá, Macapá, Brazil.
authors.forename: Claudia
authors.initials: C
authors.lastname: Funi
authors.forename: Adriana
authors.initials: A
authors.lastname: Paese
mesh_terms: D000383:Agriculture; D001938:Brazil; D003247:Conservation of Natural Resources; D017753:Ecosystem; D062211:Spatio-Temporal Analysis