2015
DOI: 10.1093/treephys/tpv125
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Linking wood anatomy and xylogenesis allows pinpointing of climate and drought influences on growth of coexisting conifers in continental Mediterranean climate

Abstract: Forecasted warmer and drier conditions will probably lead to reduced growth rates and decreased carbon fixation in long-term woody pools in drought-prone areas. We therefore need a better understanding of how climate stressors such as drought constrain wood formation and drive changes in wood anatomy. Drying trends could lead to reduced growth if they are more intense in spring, when radial growth rates of conifers in continental Mediterranean climates peak. Since tree species from the aforementioned areas hav… Show more

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Cited by 88 publications
(64 citation statements)
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References 38 publications
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“…In our dataset, ar1 of most anatomical parameters was lower than for ring-width chronologies, as intra-annual tracheids are largely affected by environmental conditions at the time of their formation, in particular the tree hydration status (Steppe et al, 2015). Reduced ar1 in anatomical time series (i.e., tracheid and vessel size) compared to ring-width series has been in fact reported in conifers (Pritzkow et al, 2014; Pacheco et al, 2016) and in hardwoods (GarcĂ­a-GonzĂĄlez and Eckstein, 2003; Fonti and GarcĂ­a-GonzĂĄlez, 2008). The values of ar1 for the chronologies of DWT and LW can be explained considering the seasonal dynamics of wood formation.…”
Section: Discussionmentioning
confidence: 90%
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“…In our dataset, ar1 of most anatomical parameters was lower than for ring-width chronologies, as intra-annual tracheids are largely affected by environmental conditions at the time of their formation, in particular the tree hydration status (Steppe et al, 2015). Reduced ar1 in anatomical time series (i.e., tracheid and vessel size) compared to ring-width series has been in fact reported in conifers (Pritzkow et al, 2014; Pacheco et al, 2016) and in hardwoods (GarcĂ­a-GonzĂĄlez and Eckstein, 2003; Fonti and GarcĂ­a-GonzĂĄlez, 2008). The values of ar1 for the chronologies of DWT and LW can be explained considering the seasonal dynamics of wood formation.…”
Section: Discussionmentioning
confidence: 90%
“…The ecological meaning of climate-anatomy relationships can be better understood if integrated with information on xylem phenology (e.g., the timing of wood formation) and intra-annual dynamics of stem growth obtained by repeated microcoring and dendrometer records (Rossi et al, 2012; Cocozza et al, 2016; Pacheco et al, 2016). In a study recently conducted at the same site (Ziaco et al, 2016), production of new tracheids in bristlecone pine during two consecutive years (2013–2014) started at the beginning of June, immediately after snowmelt, peaked in late June, and wood formation ended in mid-September.…”
Section: Discussionmentioning
confidence: 99%
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“…This separation was preferred over the delineation based on the Mork index (Denne, 1988) for its higher efficiency in defining earlywood and latewood in conifers within the Mediterranean region (e.g. Pacheco et al, 2015). Variables measured included ring width, number of tracheids forming a ring, their mean lumen area and cell-wall thickness (henceforth CWT), computed as the average between the tangential and radial thicknesses.…”
Section: Wood Anatomy Datamentioning
confidence: 99%
“…Since both the dendroanatomical and xylogenetic approaches operate at cellular level, relating dendroanatomy to key environmental factors might also allow inferences on cambial activity to be extended from a few years to decades. However, up to now, only a few empirical studies have explored long-term effects of climate variability on the corresponding year-to-year change in wood anatomical traits and the related consequences for conifer tree physiology and growth (Olano et al, 2012; Fonti et al, 2013; Pacheco et al, 2016; Pellizzari et al, 2016). Furthermore, most of these investigations usually adopted a classical dendroclimatological approach to define the associations between climate and wood-anatomical parameters (e.g., using monthly resolved weather records and averaging the anatomical properties of the whole rings), therefore remaining disconnected from the cambium dynamics studies in terms of temporal resolution.…”
Section: Introductionmentioning
confidence: 99%