采矿对quadrilÁtero ferrÍfero景观时空动态的影响

Cássia Ribeiro Macedo, Reginaldo Arthur Gloria Marcelino, Arthur Amaral e Silva, J. F. Lorentz, Letícia Rodrigues de Assis, Vitor Juste dos Santos, M. Calijuri
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引用次数: 0

摘要

Quadrilátero Ferrífero - QF是巴西主要的铁矿石生产商/勘探商,在全球矿产勘探领域处于领先地位。考虑到与这项活动有关的所有环境影响,有必要评估景观格局,以支持矿业公司的可持续规划。因此,本文旨在明确1985 - 2018年QF景观配置和组成的时间变化,并对2053年进行预测。这项研究是在位于巴西米纳斯吉拉斯州的QF地区进行的。我们使用1985年至2018年的土地利用/覆盖分类图像来计算景观指标并执行土地变化建模工具。因此,我们获得了多年来的景观格局和2053年的预测。为此,我们使用了类别和景观度量水平,特别是描述了土地利用/覆盖的空间分布,并确定了其组成在过去几年中是如何变化的。结果表明,森林类对矿业的贡献最大,占该地区的+0.09%。此外,农业职业减少了12%,其总面积在其他土地利用/覆盖之间转换。森林斑块和矿区斑块面积分别增加了4%和0.2%,到2053年有持续增加的趋势。然而,森林碎片有解体的趋势,而矿区则有联系更紧密的趋势。从生态学的观点来看,这些结果汇聚成一个令人担忧的情景。因此,有必要对环境法律的遵守进行更好的监督,以避免矿区生物多样性的损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE INFLUENCE OF MINING IN THE QUADRILÁTERO FERRÍFERO: LANDSCAPE SPATIAL-TEMPORAL DYNAMICS
The Quadrilátero Ferrífero – QF is the main producer/explorer of iron ore in Brazil, occupying the worldwide leadership group in Mineral Exploration. Considering all the environmental impacts associated with this activity, it is necessary to assess the landscape patterns to support the sustainable planning of mining companies. So, this paper aimed to define the temporal changes in the QF landscape's configuration and composition from 1985 to 2018 and predict 2053. The research was carried out in the QF region, located in Minas Gerais, Brazil. We used classified images of land use/cover from 1985 to 2018 to calculate the landscape metrics and perform the Land Change Modeler tool. Thus, we obtained the landscape patterns over the years and a prediction for 2053. To that content, we used class and landscape metric levels, especially to describe the spatial distribution of land use/cover, and to identify how its composition has changed over the years. The results show that the Forest class contributed the most to Mining, with +0.09% in the area. In addition, the Farming class decreased 12%, with its total area converted among the others land use/cover. Thus, the Forest and Mining patches’ areas raised by 4% and 0.2%, with a tendency for a continuous increase until 2053. However, the forest fragments tended to disaggregate, while the Mining areas tended to become more connected. These results converge to a worrying scenario from an ecological point of view. Therefore, it is necessary to have/search for better supervision related to the compliance of environmental laws to avoid biodiversity losses in mining areas.
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