Radiocarbon dating of a monumental dragon tree (<i>Dracaena draco</i> (L.) L.)

Abstract Some arboreal monocotyledons, such as the dragon trees ( Dracaena sp.), can develop impressive trunks (&gt;5 m perimeter) through a lateral meristem, but their ages are difficult to determine. We report here a series of calibrated radiocarbon ( 14 C) dates obtained from a stem section of Dracaena draco (L.) L. subsp. draco growing on the island of Tenerife, Canary Islands, Spain. This radial section, about 40 cm long, was cut on October 18, 2023, from a large (∼60 cm diameter) branch that had fallen off the main stem of a privately owned dragon tree. In order to apply 14 C calibration, and given the lack of clearly defined growth layers, we collected 33 sequential samples at ∼1-cm intervals along this radial section. A first attempt at wiggle-matching resulted in a calibrated dating of ∼1787 CE for the innermost sample. Because we only knew the spatial distance, but not the time interval, between 14 C dates, we further applied calibration tools commonly used for sedimentary sequences. The Poisson-process deposition model in the software OxCal resulted in a calibrated age for the innermost sample of 1776–1798 CE (2σ). The classic and Bayesian age-depth deposition models available as R packages dated the innermost sample to, respectively, 1775–1862 and 1768–1813 CE. Because the branch was at a height of ∼3 m from the ground, and its section did not reach the pith, our results suggest that this dragon tree was ∼300 years old in 2023.

Authors

Institutions

Publication Details

Journal
Radiocarbon
Published
2025-10-16
DOI
https://doi.org/10.1017/rdc.2025.10149
Primary Topic
Tree-ring climate responses
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radiocarbon dating of a monumental dragon tree (Dracaena draco (L.) L.)

Pedro A. Sosa, Guaciara Macedo Santos, Franco Biondi, Jordan Palli et al.
Radiocarbon
Tree-ring climate responses
article

Radiocarbon dating of a monumental dragon tree (Dracaena draco (L.) L.)

Pedro A. Sosa, Guaciara Macedo Santos, Franco Biondi, Jordan Palli, Gianluca Piovesan
article en

Abstract

Abstract Some arboreal monocotyledons, such as the dragon trees ( Dracaena sp.), can develop impressive trunks (&gt;5 m perimeter) through a lateral meristem, but their ages are difficult to determine. We report here a series of calibrated radiocarbon ( 14 C) dates obtained from a stem section of Dracaena draco (L.) L. subsp. draco growing on the island of Tenerife, Canary Islands, Spain. This radial section, about 40 cm long, was cut on October 18, 2023, from a large (∼60 cm diameter) branch that had fallen off the main stem of a privately owned dragon tree. In order to apply 14 C calibration, and given the lack of clearly defined growth layers, we collected 33 sequential samples at ∼1-cm intervals along this radial section. A first attempt at wiggle-matching resulted in a calibrated dating of ∼1787 CE for the innermost sample. Because we only knew the spatial distance, but not the time interval, between 14 C dates, we further applied calibration tools commonly used for sedimentary sequences. The Poisson-process deposition model in the software OxCal resulted in a calibrated age for the innermost sample of 1776–1798 CE (2σ). The classic and Bayesian age-depth deposition models available as R packages dated the innermost sample to, respectively, 1775–1862 and 1768–1813 CE. Because the branch was at a height of ∼3 m from the ground, and its section did not reach the pith, our results suggest that this dragon tree was ∼300 years old in 2023.

Radiocarbon
Universidad de Las Palmas de Gran Canaria (ES), University of Nevada, Reno (US), Università degli Studi della Tuscia (IT), University of California, Irvine (US)
University of Nevada, Reno, Cabildo de Tenerife
Openalex Percentile: Top 66%
Tree-ring climate responses
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.