Literature DB >> 33067671

Growth-limiting factors and climate response variability in Norway spruce (Picea abies L.) along an elevation and precipitation gradients in Slovenia.

Jernej Jevšenak1, Ivan Tychkov2, Jožica Gričar3, Tom Levanič3, Jan Tumajer4,5, Peter Prislan6, Domen Arnič6, Margarita Popkova2, Vladimir V Shishov2.   

Abstract

Norway spruce (Picea abies L.) is among the most sensitive coniferous species to ongoing climate change. However, previous studies on its growth response to increasing temperatures have yielded contrasting results (from stimulation to suppression), suggesting highly site-specific responses. Here, we present the first study that applies two independent approaches, i.e. the nonlinear, process-based Vaganov-Shashkin (VS) model and linear daily response functions. Data were collected at twelve sites in Slovenia differing in climate regimes and ranging elevation between 170 and 1300 m a.s.l. VS model results revealed that drier Norway spruce sites at lower elevations are mostly moisture limited, while moist high-elevation sites are generally more temperature limited. Daily response functions match well the pattern of growth-limiting factors from the VS model and further explain the effect of climate on radial growth: prevailing growth-limiting factors correspond to the climate variable with higher correlations. Radial growth correlates negatively with rising summer temperature and positively with higher spring precipitation. The opposite response was observed for the wettest site at the highest elevation, which positively reacts to increased summer temperature and will most likely benefit from a warming climate. For all other sites, the future radial growth of Norway spruce largely depends on the balance between spring precipitation and summer temperature.

Entities:  

Keywords:  Climate-growth correlations; Dendroclimatology; Process-based modelling; Tree rings; Vaganov-Shashkin model; dendroTools

Year:  2020        PMID: 33067671     DOI: 10.1007/s00484-020-02033-5

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  2 in total

1.  Forward Modeling Reveals Multidecadal Trends in Cambial Kinetics and Phenology at Treeline.

Authors:  Jan Tumajer; Jakub Kašpar; Hana Kuželová; Vladimir V Shishov; Ivan I Tychkov; Margarita I Popkova; Eugene A Vaganov; Václav Treml
Journal:  Front Plant Sci       Date:  2021-01-28       Impact factor: 5.753

2.  Relationships Between Wood-Anatomical Features and Resistance Drilling Density in Norway Spruce and European Beech.

Authors:  Domen Arnič; Luka Krajnc; Jožica Gričar; Peter Prislan
Journal:  Front Plant Sci       Date:  2022-04-08       Impact factor: 5.753

  2 in total

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