| Literature DB >> 23382949 |
Paolo Cherubini1, Turi Humbel, Hans Beeckman, Holger Gärtner, David Mannes, Charlotte Pearson, Werner Schoch, Roberto Tognetti, Simcha Lev-Yadun.
Abstract
Olive trees are a classic component of Mediterranean environments and some of them are known historically to be very old. In order to evaluate the possibility to use olive tree-rings for dendrochronology, we examined by various methods the reliability of olive tree-rings identification. Dendrochronological analyses of olive trees growing on the Aegean island Santorini (Greece) show that the determination of the number of tree-rings is impossible because of intra-annual wood density fluctuations, variability in tree-ring boundary structure, and restriction of its cambial activity to shifting sectors of the circumference, causing the tree-ring sequences along radii of the same cross section to differ.Entities:
Mesh:
Year: 2013 PMID: 23382949 PMCID: PMC3557290 DOI: 10.1371/journal.pone.0054730
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Blind test: Counts of growth-rings on the five samples (L8, AT, E2, E3 and T) per expert.
| Samples | L8 | AT | E2 | E3 | T |
| Expert 1 int | 9, 10 | 13, 14 | 20 | 24 | 21 |
| Expert 2 int | 9, 9 | 13, 13 | 19 | 15, 16 | 18, 19 |
| Expert 3 int | 7, 7 | 10, 10, 10 | 9, 13 | 14, 15 | 7, 7 |
| Expert 4 int | 7, 8 | 12, 15 | 17 | 19, 24 | 16 |
| Expert 5 int | 8 | 13, 13 | 10 | 17 | 16 |
| Expert 6 int | 7, 9 | 9, 11 | 8, 16 | 13, 13, 16 | N |
| Expert 7 ext | 12 | 14 | 19 | 18 | 20 |
| Expert 8 ext | 9, 9 | 12, 12 | 14, 14 | 20, 20 | 12, 12 |
| Expert 9 ext | 7, 8, 8 | 14, 14 | N | N | N |
| Expert 10 ext | 7, 9 | 14 | 17, 17 | 16, 18 | 11, 21 |
Experts 1–6 are internal from the Swiss Federal Research Institute WSL, experts 7–10 from four external laboratories: the Laboratory for Wood Biology and Xylarium at the Royal Museum for Central Africa, Tervuren, Belgium; the Wood Anatomy Laboratory, University of Haifa, Oranim, Israel; and two anonymous laboratories (one European and one North American). Some of the experts counted along one radius, some of them along two or three radii of the wood samples. N means that no age determination was possible.
Figure 1Above: Stem disc from sample E3 overlayed by a SXFM-profile. Content of calcium and strontium increases at the tree-ring borders. Below: Neutron Image of a section of the same sample (E3). Higher density peaks should reflect tree-ring borders but can also be induced by Intra-Annual-Density-Fluctuations, making tree-ring dating impossible.
Figure 21: Ca intensity mapping can be used to elucidate growth boundaries in areas complicated by phenolic staining. 2: Wood sample (AT) at the cambium/bark interface, and high resolution elemental maps for Ca, Strontium (Sr), Manganese (Mg), Potassium (K) and Zinc (Zn), which show an increase at the cambium ‘C’. Calcium, Sr and Mn also increase in the bark and K increases significantly in the outermost growth rings. Ring boundaries are labelled 1–4 and are marked by an increase in Ca, Sr and to a lesser extent Zn intensity values. IADFs can be observed faintly in the Zn data (where intensity values are very similar for IADFs and ‘true’ boundaries) and to a lesser extent in the Ca data (where a greater contrast in intensity is shown between the two). These observations hold some potential for differentiation between boundaries and IADFs, but the increase in Ca at the boundaries correlates with what can be determined by eye. 3: A lower resolution scan across the opposite radii of the sample AT. Calcium intensity increases match visually determinable ‘boundaries’ with varying degrees of clarity depending on the physical structure of the wood. The main advantage of the mapping is the association of particular elements with that structure, not in providing an alternate means to resolve and count the years of growth represented.