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Dynamical spatial modeling to simulate the forest scenario in Brazilian dry forest landscapes

机译:动态空间建模可模拟巴西干旱森林景观中的森林场景

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ABSTRACT Caatinga is a biome located in Brazilian northeast region well known by the dry forest vegetation. The analyzed area called charcoaling zone has a great suppression of native vegetation to supply the charcoal market. Through the images from the Operational Linescan System sensor of LANDSAT 8, this paper demonstrates, in a spatial-temporal way, the degradation in landscapes of the Caatinga biome and the evaluation of the forest scenario. Thus, it has been possible to evaluate the changes experienced by the vegetation (2013–2016) and to identify the land use patterns and coverage and to quantify them according to the obtained satellite images. Agriculture and the exposed soil represent about 70% of the area, considering the growing of the anthropic area and consequently the emergence of several exposed soil areas. The simulation of the future scenarios was used by modeling with the application DINAMICA EGO, generating projections of the region of the coal for the year of 2019. In addition, the assessment of the forest effacement demonstrates decreased development of the forest and increased levels of exposed soil.
机译:摘要Caatinga是一个位于巴西东北部的生物群落,以干旱的森林植被闻名。被分析的区域称为木炭化区,对本地植被的抑制作用很大,无法供应木炭市场。通过LANDSAT 8的Operational Linescan System传感器的图像,本文以时空方式演示了Caatinga生物群落景观的退化以及对森林情景的评估。因此,有可能评估植被(2013–2016)经历的变化,并确定土地利用模式和覆盖范围,并根据获得的卫星图像对其进行量化。农业和裸露的土壤约占该地区的70%,考虑到人类活动地区的增长,因此考虑到一些裸露的土壤区域的出现。通过使用DINAMICA EGO应用程序建模,对未来情景进行了模拟,生成了2019年煤炭区域的预测。此外,对森林覆盖度的评估表明森林的发育减少和暴露水平的增加泥。

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