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dc.contributor.authorNatalini, Fabio 
dc.contributor.authorVázquez Piqué, Javier 
dc.contributor.authorAlejano Monge, Reyes
dc.identifier.citationNatalini, F., Váquez Piqué, J., Alejano Monge, R.: "Plasticity in the dendroclimatic signal of Pinus pinea in connection to climate variability within its distribution range". En: Congreso Internacional EuroDendro 2014, Lugo (Spain)en_US
dc.description.abstractThe heterogeneous response of species to climate variability across their geographical distribution range is the result of phenotypic plasticity, which can be defined as the range of phenotypes that a single genotype can express as a function of local environmental conditions. In the actual climate change context, phenotypic plasticity of plant species is crucial for their acclimation or adaptation to new climatic conditions. This study was aimed at contrasting the climate-growth relationships of stone pine (Pinus pinea L.) in coastal stands in Southwestern Spain and Central Italy to explore the heterogeneous response of this species to local climatic regimes. To this end, we established tree-ring (TR) earlywood (EW) and latewood (LW) chronologies for 7 sites in the province of Huelva (SW Spain) and for one site in Tarquinia (C Italy). Both studied regions feature Mediterranean climate. We used data from the closest meteorological stations (monthly sums of precipitations and monthly average temperatures) to characterize local climate and compute climate-growth correlations. Cross-dated TR, EW and LW width series of individual trees were standardized and averaged to attain mean site chronologies of TR, EW and LW indexes. A principal component analysis of the correlation matrix of the index chronologies from Huelva was performed. The two principal components (PC1 and PC2) were examined to identify the pattern of association of TR, EW and LW with each component. The eigenvectors were used as dependent variables and meteorological data as independent variables in correlation functions. For Tarquinia, the index chronologies were used in climate-growth correlation analysis. The PC1 in all sites from Huelva was positively related to the TR and EW indexes, while the PC2 was positively related with the LW indexes. The first component eigenvector was positively correlated with precipitation of the previous November and current February, March and April, and negatively correlated with temperatures of the current spring (Mar-May). The second component eigenvector was positively correlated with precipitation in winter (Dec, Jan) and current autumn (Sep-Nov) and negatively correlated with temperatures in the current July. In Tarquinia, the TR and EW index chronologies were positively related to precipitation in the previous November and current June, while the LW index chronology was related to the June, August and September precipitations. No significant correlation with temperatures was found in Tarquinia. The dendroclimatic signal in Huelva suggests that P. pinea in this region mostly depends on water availability in the months preceding summer and is significantly sensitive to the water stress induced by high temperatures in spring. The dendroclimatic signal in LW indicates a later phase of cambial activity in autumn. In contrast, P. pinea in Tarquinia is strongly influenced by precipitation in the beginning of summer, did not present any significant relationships with spring climate and LW is sensitive to precipitation also in late summer in this region. In Huelva the arid period generally lasts from May to September and drought events can also occur in April, while in Tarquinia aridity is normally limited between June and August. This study provides an insight into the plasticity of P. pinea in connection to climatic gradients, that could be decisive for the response of this species to climate change impacts across its geographical distribution range.en_US
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.titlePlasticity in the dendroclimatic signal of Pinus pinea in connection to climate variability within its distribution rangeen_US

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