Modern pollen rain predicts shifts in plant trait composition but not plant diversity along the Andes–Amazon elevational gradient
Modern pollen rain predicts shifts in plant trait composition but not plant diversity along the Andes–Amazon elevational gradient
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DOI：
10.1111/jvs.12925
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发表时间：
2020-07
影响因子：
2.8
通讯作者：
Masha T. van der Sande;M. Bush;D. Urrego;M. Silman;W. Farfán-Ríos;K. García Cabrera;A. Shenkin;Y. Malhi;C. McMichael;W. Gosling
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作者：
Masha T. van der Sande;M. Bush;D. Urrego;M. Silman;W. Farfán-Ríos;K. García Cabrera;A. Shenkin;Y. Malhi;C. McMichael;W. Gosling
目的：陆地生态系统的生物多样性、物种组成和功能特征组成正在发生变化。为了了解这些变化的根本原因，并预测生态系统抵御未来干扰的长期弹性，我们可以从化石花粉记录中评估多样性和组成的变化。虽然多样性可以很好地估计在温带生态系统的花粉，这是不太清楚的高度多样性的热带。此外，它仍然是未知的功能组成的植物组合是否可以准确地预测花粉组合组成。在这里，我们评估社区加权平均（CWM）性状和多样性指数的变化沿着海拔。位置：秘鲁亚马逊-安第斯山脉海拔梯度。研究方法：我们使用了82个现代花粉样本和59个植被样地沿海拔梯度，沿着，并计算了每个花粉样本和植被样地的CWM特征和多样性指数。我们还量化了分类群的花粉代表性过高或过低的程度，通过将相对花粉丰度除以附近植被调查地块的相对断面积丰度（即R-rel值）。结果：随着海拔的升高，水煤浆木材密度逐渐增加，成株高和叶面积逐渐减小。这种变化很好地预测了花粉组合，表明CWM性状-环境关系的基础上，花粉丰度数据提供了有意义的结果。多样性（丰富度，香农和辛普森）随海拔的植被地块，但这些趋势不能观察到花粉组合。结论：我们的研究结果表明，需要更多的研究，以开发方法，导致准确的多样性估计花粉数据在这些热带生态系统中，但CWM性状可以计算花粉数据，以评估功能组成的空间变化。这为从化石中计算水煤浆性状提供了机会
Aims: Terrestrial ecosystems are changing in biodiversity, species composition and functional trait composition. To understand the underlying causes of these changes and predict the long-term resilience of the ecosystem to withstand future disturbances, we can evaluate changes in diversity and composition from fossil pollen records. Although diversity can be well estimated from pollen in temperate ecosystems, this is less clear for the hyperdiverse tropics. Moreover, it remains unknown whether functional composition of plant assemblages can be accurately predicted from pollen assemblage composition. Here, we evaluate how community-weighted mean (CWM) traits and diversity indices change along elevation. Location: Amazon–Andes elevation gradient in Peru. Methods: We used 82 modern pollen samples and 59 vegetation plots along the elevation gradient, and calculated CWM traits and diversity indices for each pollen sample and vegetation plot. We also quantified the degree to which taxa are over-or under-represented by their pollen, by dividing the relative pollen abundance by the relative basal area abundance in the nearby vegetation survey plots (i.e. the R-rel values). Results: We found that CWM wood density increased, and CWM adult height and leaf area decreased with elevation. This change was well predicted by pollen assemblages, indicating that CWM trait–environment relationships based on pollen abundance data provide meaningful results. Diversity (richness, Shannon and Simpson) decreased with elevation for vegetation plots, but these trends could not be observed from pollen assemblages. Conclusions: Our results demonstrate that more research is needed to develop meth - ods that lead to accurate diversity estimates from pollen data in these tropical ecosystems, but that CWM traits can be calculated from pollen data to assess spatial shifts in functional composition. This opens opportunities to calculate CWM traits from fossil