4.7 Article

Brazilian biomes distribution: Past and future

出版社

ELSEVIER
DOI: 10.1016/j.palaeo.2021.110717

关键词

Last Glacial Maximum; Simulations; Biomes; Future scenario; Palaeorecords

资金

  1. FAPESP [2018/15123-4, 2018/23522-6]
  2. CAPES [564/2015, 88881.313535/2019-01, 88887.156152/2017-00, 88881.161151/2017-01]
  3. CNPq [302607/2016-1]
  4. Alexander von Humboldt Foundation
  5. CNPq Project RAiN [406322/2018-0]

向作者/读者索取更多资源

The Last Glacial Maximum (LGM) was characterized by atmospheric cooling, showing contrasts to the current warming climate. Research indicates that in the Western and Central Amazon forest regions, the biomes remained largely unchanged during the LGM due to negative temperature anomalies, while in the Eastern portion, a shift from tropical evergreen forest to tropical seasonal forest was observed. Future warming scenarios suggest a potential expansion of Savanna/Cerrado and a reduction of tropical seasonal forest and Caatinga in Brazil, impacting biodiversity and regional climate.
The Last Glacial Maximum (LGM, 26.5-19 ka) was marked by atmospheric cooling, in contrast to the current warming climate, which will probably continue in the coming decades, according to climate models projections. The LGM to pre-industrial transition provides an opportunity to test the vegetation response to a very large temperature change that can then be applied to project pre-industrial to end-of-century changes. In order to explore the changes in Brazilian biomes due to temperature change, we projected potential vegetation for both past and future scenarios. We compared biome projections with a compilation of 149 published LGM reconstructions of climate and vegetation within Brazil and adjacent areas. In addition, we evaluated the particular effects that changes in precipitation, temperature and CO2 had on vegetation by performing sensitivity experiments. Our results suggest that biomes in the western and central portions of the Amazon forest remained largely unchanged during the LGM mainly due to negative temperature anomalies, while a decrease in past precipitation was responsible for the shift from tropical evergreen forest to tropical seasonal forest in the eastern portion of the Amazon. These results are consistent with proxy reconstructions. LGM model projections and proxy reconstructions suggest expansion of grassland in the southern Brazilian highlands. Under future warming scenarios, biome changes are mostly forced by decreasing precipitation and increasing temperatures, which counteract potential biomass gain from the positive CO2 fertilization effect. Under future warming, our simulations show an expansion of Savanna/Cerrado and a reduction of tropical seasonal forest and Caatinga, with potential large impacts over biodiversity and regional climate.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据