Phytolith assemblages reflect variability in human land use and the modern environment
Phytolith assemblages reflect variability in human land use and the modern environment
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DOI：
10.1007/s00334-023-00932-2
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发表时间：
2023-06
影响因子：
2.5
通讯作者：
N. H. Witteveen;C. White;Barbara A. Sanchez Martinez;Roemer Booij;Ann Philip;W. Gosling;M. Bush;C. McMichael
中科院分区：
文献类型：
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作者：
N. H. Witteveen;C. White;Barbara A. Sanchez Martinez;Roemer Booij;Ann Philip;W. Gosling;M. Bush;C. McMichael
土壤和沉积物中保存的植硅体可用于提供对过去植被动态响应人类和气候变化的独特见解。植硅体可以重建花粉粒通常会腐烂的陆地土壤中的当地植被，提供一系列记录过去人类活动的标记（或缺乏标记）。约。 600 万平方公里的亚马逊森林拥有相对较少的基线数据集，记录植物硅体在人类干扰梯度上的变化。在这里，我们展示了苏里南热带雨林中植硅体组合在（现代）人类干扰梯度上在局部尺度上的变化。去趋势对应分析表明，在管理景观（轮耕和花园）、未管理森林和废弃重新造林地点发现的植硅体组合与完整森林以及彼此之间明显不同。我们的结果强调了植硅体在场地使用和废弃后重建演替轨迹的敏感性和潜力。特定植硅体形态类型的百分比也与无人机数据得出的当地棕榈丰度以及 MODIS 卫星图像估计的生物量呈正相关。该基线数据集提供了可以在其他地点观察到的可能变化的索引，表明亚马逊流域过去的人类活动和长期森林恢复。
Phytoliths preserved in soils and sediments can be used to provide unique insights into past vegetation dynamics in response to human and climate change. Phytoliths can reconstruct local vegetation in terrestrial soils where pollen grains typically decay, providing a range of markers (or lack thereof) that document past human activities. The ca. 6 million km2of Amazonian forests have relatively few baseline datasets documenting changes in phytolith representation across gradients of human disturbances. Here we show that phytolith assemblages vary on local scales across a gradient of (modern) human disturbance in tropical rainforests of Suriname. Detrended correspondence analysis showed that the phytolith assemblages found in managed landscapes (shifting cultivation and a garden), unmanaged forests, and abandoned reforesting sites were clearly distinguishable from intact forests and from each other. Our results highlight the sensitivity and potential of phytoliths to be used in reconstructing successional trajectories after site usage and abandonment. Percentages of specific phytolith morphotypes were also positively correlated with local palm abundances derived from UAV data, and with biomass estimated from MODIS satellite imagery. This baseline dataset provides an index of likely changes that can be observed at other sites that indicate past human activities and long-term forest recovery in Amazonia.