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Fire and deforestation dynamics in Amazonia (1973–2014)

机译:亚马逊地区的火灾和森林砍伐动态(1973–2014年)

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摘要

Consistent long‐term estimates of fire emissions are important to understand the changing role of fire in the global carbon cycle and to assess the relative importance of humans and climate in shaping fire regimes. However, there is limited information on fire emissions from before the satellite era. We show that in the Amazon region, including the Arc of Deforestation and Bolivia, visibility observations derived from weather stations could explain 61% of the variability in satellite‐based estimates of bottom‐up fire emissions since 1997 and 42% of the variability in satellite‐based estimates of total column carbon monoxide concentrations since 2001. This enabled us to reconstruct the fire history of this region since 1973 when visibility information became available. Our estimates indicate that until 1987 relatively few fires occurred in this region and that fire emissions increased rapidly over the 1990s. We found that this pattern agreed reasonably well with forest loss data sets, indicating that although natural fires may occur here, deforestation and degradation were the main cause of fires. Compared to fire emissions estimates based on Food and Agricultural Organization's Global Forest and Resources Assessment data, our estimates were substantially lower up to the 1990s, after which they were more in line. These visibility‐based fire emissions data set can help constrain dynamic global vegetation models and atmospheric models with a better representation of the complex fire regime in this region.
机译:长期一致的火灾排放估算对于了解火灾在全球碳循环中的作用变化以及评估人类和气候对制定火灾制度的相对重要性至关重要。但是,有关卫星时代之前的火灾排放的信息有限。我们显示,在包括毁林弧和玻利维亚在内的亚马逊地区,从气象站获得的能见度观测值可以解释自1997年以来卫星对自下而上火排放的估计中的61%的变化和卫星中42%的变化。基于2001年以来总一氧化碳浓度的估算。这使我们能够重建自1973年获得能见度信息以来该区域的火灾历史。我们的估计表明,直到1987年,该地区发生的火灾相对较少,在1990年代,火灾的排放量迅速增加。我们发现这种模式与森林损失数据集相当吻合,表明尽管这里可能发生自然火灾,但森林砍伐和退化是火灾的主要原因。与根据粮食及农业组织的全球森林和资源评估数据得出的火灾排放估算值相比,我们的估算值在1990年代之前要低得多,此后的估算值则更加接近。这些基于可见性的火灾排放数据集可以帮助约束动态的全球植被模型和大气模型,从而更好地表示该地区的复杂火灾情况。

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