scholarly journals Climate sensitivity and resistance under pure- and mixed-stand scenarios in Lower Austria evaluated with distributed lag models and penalized regression splines for tree-ring time series

2019 ◽  
Vol 139 (2) ◽  
pp. 189-211 ◽  
Author(s):  
Arne Nothdurft ◽  
Markus Engel

Abstract Penalized regression splines and distributed lag models were used to evaluate the effects of species mixing on productivity and climate-related resistance via tree-ring width measurements from sample cores. Data were collected in Lower Austria from sample plots arranged in a triplet design. Triplets were established for sessile oak [Quercus petraea (Matt.) Liebl.] and Scots pine (Pinus sylvestris L.), European beech (Fagus sylvatica L.) and Norway spruce [Picea abies (L.) H. Karst.], and European beech and European larch (Larix decidua Mill.). Mixing shortened the temporal range of time-lagged climate effects for beech, spruce, and larch, but only slightly changed the effects for oak and pine. Beech and spruce as well as beech and larch exhibited contrasting climate responses, which were consequently reversed by mixing. Single-tree productivity was reduced by between − 15% and − 28% in both the mixed oak–pine and beech–spruce stands but only slightly reduced in the mixed beech–larch stands. Measures of climate sensitivity and resistance were derived by model predictions of conditional expectations for simulated climate sequences. The relative climate sensitivity was, respectively, reduced by between − 16 and − 39 percentage points in both the beech–spruce and beech–larch mixed stands. The relative climate sensitivity of pine increased through mixing, but remained unaffected for oak. Mixing increased the resistance in both the beech–larch and the beech–spruce mixed stand. In the mixed oak–pine stand, resistance of pine was decreased and remained unchanged for oak.

2010 ◽  
Vol 19 (3) ◽  
pp. 609-625 ◽  
Author(s):  
Kukatharmini Tharmaratnam ◽  
Gerda Claeskens ◽  
Christophe Croux ◽  
Matias Salibián-Barrera

2005 ◽  
Vol 14 (2) ◽  
pp. 378-394 ◽  
Author(s):  
Veerabhadran Baladandayuthapani ◽  
Bani K Mallick ◽  
Raymond J Carroll

Biometrics ◽  
2005 ◽  
Vol 61 (4) ◽  
pp. 1037-1048 ◽  
Author(s):  
Jaroslaw Harezlak ◽  
Louise M. Ryan ◽  
Jay N. Giedd ◽  
Nicholas Lange

2018 ◽  
Vol 48 (1) ◽  
pp. 77-84 ◽  
Author(s):  
Ioan Dutcă ◽  
Richard Mather ◽  
Florin Ioraş

In this paper, we report an investigation of how forest stand mixture may affect biomass allometric relationships in Norway spruce (Picea abies (L.) Karst.). Analysis of aboveground biomass data was conducted for 50 trees: 25 sample trees from a pure Norway spruce stand and 25 from a mixed stand of Norway spruce with European beech (Fagus sylvatica L.). ANCOVA results demonstrated that individual-tree biomass allometry of the pure stand significantly differed from that of the mixed stand. Allometric characteristics depended on the biomass component recorded and the type of biomass predictor used. When predicted by diameter at breast height and (or) height, the total aboveground biomass of mixed-stand trees was significantly less than that for pure-stand trees. This “apparent” lower aboveground biomass was attributed to the lower branch and needle biomass proportions of trees growing in mixed stand. The findings indicate that caution should be exercised when applying biomass allometric models developed from pure stands to predict tree biomass in mixed stands (and vice versa), as such data treatment may introduce significant bias.


2008 ◽  
Author(s):  
Kukatharmini Tharmaratnam ◽  
Christophe Croux ◽  
Gerda Claeskens ◽  
Matias Salibian-Barrera

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