The variability of Amazonian palm phytoliths
| Authors |
|
|---|---|
| Publication date | 05-2022 |
| Journal | Review of Palaeobotany and Palynology |
| Article number | 104613 |
| Volume | Issue number | 300 |
| Number of pages | 13 |
| Organisations |
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| Abstract |
The Arecaceae (palm) family is one of the most common and
economically important plant groups in Amazonia, and play large roles in
ecosystem functioning and carbon dynamics. The modern dominance of
palms may be a result of environmental gradients, past climate variability
and legacies of past human activities. To understand the roles people
and environment have played in shaping the abundance and widespread
occurrence of Amazonian palm species, past vegetation reconstructions
using palaeoecological proxies that can identify palm species or genera
are needed. Phytoliths are siliceous microfossils
abundantly produced in palms and are used to reconstruct past
vegetation composition. The aim of this paper was to assess the
variability of Amazonian palm phytolith morphotypes
and to determine which morphological characteristics can be used to
increase the taxonomic resolution of palm identifications. Phytolith
size, sphericity, spinule traits and number of (surficial) projections
were measured for 24 Amazonian palm species. Differences were compared
using PCA and ANOVA or Tukey tests, followed by Kruskal-Wallis or Dunn
tests. Results show potential for phytoliths of Aiphanes
aculeata, Attalea maripa, Bactris simplicifrons, Dictyocaryum fuscum,
Euterpe precatoria, Iriartea deltoidea, Oenocarpus bacaba, Socratea
exorrhiza and the genera Geonoma, Bactris, Euterpe and Oenocarpus
to be identified based on their size, shape or number of projections.
This will allow future phytolith analyses to reconstruct past palm
abundances with an increased taxonomic resolution. We have formulated
our findings into a ‘quick guide’ to identify palm phytoliths and test
hypotheses regarding the drivers of modern palm distributions and
abundances.
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| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1016/j.revpalbo.2022.104613 |
| Other links | https://www.scopus.com/pages/publications/85125862636 |
| Downloads |
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