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What trees tell us: dendrochronological and statistical analysis of the data

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dc.contributor Gutiérrez Merino, Emilia
dc.contributor Monleón Getino, Toni
dc.creator Liutsko, Liudmila
dc.date 2010-03-08T12:59:38Z
dc.date 2010-03-08T12:59:38Z
dc.date 2008-06
dc.date.accessioned 2024-12-16T10:15:04Z
dc.date.available 2024-12-16T10:15:04Z
dc.identifier http://hdl.handle.net/2445/11509
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/3000
dc.description Diploma d'Estudis Avançats - Programa de doctorat en Estadística. 2008. Tutor: Dr. Antoni Monleón
dc.description Trees are a great bank of data, named sometimes for this reason as the "silent witnesses" of the past. Due to annual formation of rings, which is normally influenced directly by of climate parameters (generally changes in temperature and moisture or precipitation) and other environmental factors; these changes, occurred in the past, are "written" in the tree "archives" and can be "decoded" in order to interpret what had happened before, mainly applied for the past climate reconstruction. Using dendrochronological methods for obtaining samples of Pinus nigra from the Catalonian PrePirineous region, the cores of 15 trees with total time spine of about 100 - 250 years were analyzed for the tree ring width (TRW) patterns and had quite high correlation between them (0.71 ¿ 0.84), corresponding to a common behaviour for the environmental changes in their annual growth. After different trials with raw TRW data for standardization in order to take out the negative exponential growth curve dependency, the best method of double detrending (power transformation and smoothing line of 32 years) were selected for obtaining the indexes for further analysis. Analyzing the cross-correlations between obtained tree ring width indexes and climate data, significant correlations (p<0.05) were observed in some lags, as for example, annual precipitation in lag -1 (previous year) had negative correlation with TRW growth in the Pallars region. Significant correlation coefficients are between 0.27- 0.51 (with positive or negative signs) for many cases; as for recent (but very short period) climate data of Seu d¿Urgell meteorological station, some significant correlation coefficients were observed, of the order of 0.9. These results confirm the hypothesis of using dendrochronological data as a climate signal for further analysis, such as reconstruction of climate in the past or prediction in the future for the same locality.
dc.format 61 p.
dc.format 3048336 bytes
dc.format application/pdf
dc.language eng
dc.relation Reproducció digital del document original en format paper
dc.rights cc-by-nc-nd (c) Liutsko, 2008
dc.rights http://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.rights info:eu-repo/semantics/openAccess
dc.source Diploma d'Estudis Avançats (DEA) - Estadística
dc.subject Mètodes estadístics
dc.subject Dendrocronologia
dc.subject Diplomes d'Estudis Avançats (Memòria)
dc.subject Statistical methods
dc.subject Dendrochronology
dc.subject Master of Advanced Studies
dc.title What trees tell us: dendrochronological and statistical analysis of the data
dc.type info:eu-repo/semantics/bachelorThesis


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