Federal Rural University of Rio de Janeiro, Forest Institute, Environmental Science Department, Rod. BR 465, Km 07, Seropédica, Rio de Janeiro, CEP: 23890-000, Brazil.
Federal Rural University of Rio de Janeiro, Forest Institute, Environmental Science Department, Rod. BR 465, Km 07, Seropédica, Rio de Janeiro, CEP: 23890-000, Brazil.
Sci Total Environ. 2022 Oct 20;844:157138. doi: 10.1016/j.scitotenv.2022.157138. Epub 2022 Jul 5.
The trade-off between conservation of natural resources and agribusiness expansion is a constant challenge in Brazil. The fires used to promote agricultural expansion increased in the last decades. While studies linking annual fire occurrence and rainfall seasonality are common, the relationship between fires, land use, and land cover remains understudied. Here, we investigated the frequency of the fires and performed a trend analysis for monthly, seasonal, and annual fires in three different biomes: Cerrado, Pantanal, and Atlantic Forest. We used burned area and integrated models in distinct scales (interannual, intraseasonal, and monthly) using Probability Density Functions (PDFs). The best fitting was found for Generalized Extreme Values (GEV) distribution at all three biomes from the several PDFs tested. We found the most fire in the Pantanal (wetlands), followed by Cerrado (Brazilian Savanna) and Atlantic Forest (Semideciduous Forest). Our findings indicated that land use and land cover trends changed over the years. There was a strong correlation between fire and agricultural areas, with increasing trends pointing to land conversion to agricultural areas in all biomes. The high probability of fire indicates that expanding agricultural areas through the conversion of natural biomes impacts several natural ecosystems, transforming land cover and land use. This land conversion is promoting more fires each year.
巴西在自然资源保护和农业综合企业扩张之间的权衡是一个持续存在的挑战。过去几十年来,为促进农业扩张而引发的火灾有所增加。虽然将年度火灾发生与降雨季节性联系起来的研究很常见,但火灾、土地利用和土地覆盖之间的关系仍未得到充分研究。在这里,我们调查了火灾的频率,并对塞拉多、潘塔纳尔和大西洋森林三个不同生物群落的每月、季节性和年度火灾进行了趋势分析。我们使用燃烧面积和集成模型,在不同尺度上(年际、季节内和每月)使用概率密度函数 (PDF) 进行分析。在所测试的几个 PDF 中,广义极值 (GEV) 分布在所有三个生物群落中都具有最佳拟合度。我们发现潘塔纳尔(湿地)火灾最多,其次是塞拉多(巴西稀树草原)和大西洋森林(半落叶林)。我们的研究结果表明,土地利用和土地覆盖趋势多年来发生了变化。火灾与农业区之间存在很强的相关性,所有生物群落的农业区面积呈上升趋势,表明土地正在向农业区转化。火灾的高概率表明,通过将自然生物群落转化为农业区来扩大农业区,会影响到几个自然生态系统,从而改变土地覆盖和土地利用。这种土地转换每年都会引发更多的火灾。