A new modern pollen dataset describing the Brazilian Atlantic Forest
A new modern pollen dataset describing the Brazilian Atlantic Forest
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DOI：
10.1177/0959683619846981
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发表时间：
2019-05
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通讯作者：
Vincent Montade;M. Ledru;T. Giesecke;S. Flantua;H. Behling;O. Peyron
中科院分区：
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作者：
Vincent Montade;M. Ledru;T. Giesecke;S. Flantua;H. Behling;O. Peyron
为了提高我们对大西洋森林在空间和时间上对气候变化的响应的理解，有必要探索巴西大西洋雨林是如何在现代花粉组合中观察到的结构，以及哪些气候参数决定了这些模式。在这种情况下，我们编制了196个现代花粉样本，其中包括125个来自大西洋森林生物群系，并将每个样本分配给一个或多个生态地貌。我们确定了7个生态地貌，其中4个集群的一个或两个生态地貌是明确区分的，即（1）南洋杉林与高海拔草地，（2）低地雨林，（3）半落叶与河流森林和（4）东北大西洋雨林。气候不同，这些集群反映了从第一个集群到第四个集群的普遍温度上升和降水增加。此外，比较现代花粉数据集与巴西东南部的Alpellonia花粉记录显示，植被归因于南洋杉森林与高海拔草原表现出重要的变异性与几个转移到低地低地雨林。正如所示，通过比较与长化石花粉记录的古龙尼亚，开发这样一个现代的训练集是至关重要的了解大西洋森林对环境变化的反应。然而，仍然需要更多的样本，以便按照确定的植物区系和气候梯度，在地方一级更好地描述不同生态地貌的特征。由于该区域生物多样性的严重丧失和生境的破坏，这一取样工作变得越来越紧迫。
To improve our understanding of the Atlantic Forest responses to climate changes in space and time, it is essential to explore how the Brazilian Atlantic rain forest is structured as observed in modern pollen assemblages and which climate parameters determine these patterns. In this context, we compiled 196 modern pollen samples including 125 from the Atlantic Forest biome and assigned each sample to one or more eco-physiognomies. We identified seven eco-physiognomies of which four clusters of one or two eco-physiognomies were clearly distinguished, namely (1) Araucaria forest with high elevation grassland, (2) lowland rain forest, (3) semi-deciduous with riverine forests and (4) northeastern Atlantic rain forest. Climatically distinct, these clusters reflect a general temperature increase and precipitation increase from the first to the fourth cluster. Furthermore, comparison of the modern pollen dataset with the Côlonia pollen record from southeastern Brazil revealed that vegetation attributed to Araucaria forest with high elevation grassland showed an important variability with several shifts towards the lowland rain forest. As illustrated by comparison with the long fossil pollen record of Côlonia, developing such a modern training set is crucial for the understanding of responses of Atlantic Forest to environmental changes. However, additional samples are still necessary to improve characterization of different eco-physiognomies at a local scale following a defined floristic and climatic gradient. This sampling effort is becoming increasing urgent as a result of strong biodiversity loss and habitat destruction in this region.