Programa de Pós Graduação em Biodiversidade Tropical, Universidade Federal do Amapá, Macapá, Brazil.
PLoS One. 2012;7(12):e51893. doi: 10.1371/journal.pone.0051893. Epub 2012 Dec 17.
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.
里奥卡雅里采伐保留区(RCER)是一个位于巴西阿马帕州南部的可持续利用保护区。该保护区是传统的农林业家庭的家园,但越来越受到商业农业生产者的入侵。在这项工作中,我们检验了以下假设,即 RCER 的实施明显影响了占用保护区及其周边地区的社会群体的森林砍伐空间格局和裸地及次生林形成的速度。根据 1991 年、1998 年、2007 年和 2008 年的 Landsat TM 图像,利用线性光谱混合模型详细编制了植被覆盖和森林砍伐图。基于广泛的实地工作,根据造成森林砍伐的代理人对斑块进行了分类,并对 10 个解释变量进行了特征描述。利用判别函数分析,根据数据确定了同质组。结果表明,有三组的森林砍伐率和空间格局明显增加:采掘者、非传统商业农业生产者和一个由矿工、牛和木材生产者组成的代表性较低的群体。在所有分析日期中,采掘者社区的砍伐区域面积最大,平均面积最小,且靠近村庄。非传统组的森林砍伐斑块仅与湿性森林有关;这些斑块的平均面积和接近度指数较高,聚集度和大集群形成度增加。在保护区内外,三组的森林砍伐模式没有显著差异。