Fire in highland grasslands in the Atlantic Forest Biome, a burned areas time series analysis and its correlation with the legislation

P. Herrmann, V. Nascimento, M. W. D. Freitas, J. Ometto
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引用次数: 1

Abstract

Fire has been an intrinsic ecological component of the ecosystems, affecting the public, economic, and socio-cultural policies of human-nature interactions. Using fire over grassland vegetation is a traditional practice for livestock in the highland grasslands and has economic and environmental consequences that have not yet been understood. A better description of the spatio-temporal biomass burning patterns is needed to analyze the effects of creation and application in these areas. This study used remote sensing techniques based on Sentinel-2 data and machine learning algorithms to identify burning scars and compare them with a national fire collection database for the highland grasslands in the Atlantic Forest Biome in Brazil. The aim is to evaluate public management tools and legislation evolution during the 35 years of the time series analyzed. The results indicated that 12,285 ha of grasslands were converted to other uses, losing about 24% of their original formation, with 10% occurring after banned this practice in 2008. The burned areas classification using the Random Forest algorithm obtained an AUC = 0.9983. Divergences in the burned area’s extent and frequency were found between the municipality’s authorized license and those classified as burned. On average, only 43% of the burned area in the Parque Estadual do Tainhas and its buffer zone had an environmental permit in the last 5 years. This research’s results provide subsidies for revising and creating public policies and consequently help territorial management.
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在大西洋森林生物群系中,对高原草原的火灾面积进行时间序列分析及其与立法的相关性
火是生态系统固有的生态组成部分,影响着人类与自然互动的公共、经济和社会文化政策。在草原植被上使用火是高原草原牲畜的传统做法,其经济和环境后果尚不清楚。需要更好地描述生物质燃烧的时空格局,以分析这些地区的创造和应用的影响。本研究使用基于Sentinel-2数据和机器学习算法的遥感技术来识别燃烧疤痕,并将其与巴西大西洋森林生物群系高原草原的国家火灾收集数据库进行比较。其目的是评估公共管理工具和立法在分析的35年时间序列中的演变。结果表明,12285公顷的草原被改造为其他用途,失去了约24%的原始形态,其中10%是在2008年禁止这种做法之后发生的。使用Random Forest算法进行烧伤面积分类得到AUC = 0.9983。在被烧毁地区的范围和频率上,发现了市政当局授权许可证与被烧毁地区之间的差异。平均而言,在过去的5年里,在台海公园及其缓冲区中,只有43%的被烧毁区域获得了环境许可证。本研究结果为公共政策的修订和制定提供了补贴,从而有助于区域管理。
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