Spatial interactions between Scots pine (Pinus sylvestris L.), common oak (Quercus robur L.) and silver birch (Betula pendula Roth.) as investigated in stratified stands in mesotrophic site conditions

2004 ◽  
Vol 192 (2-3) ◽  
pp. 229-240 ◽  
Author(s):  
Jarosław G. Paluch ◽  
Leszek E. Bartkowicz
2010 ◽  
Vol 36 (4) ◽  
pp. 495-502 ◽  
Author(s):  
Tatjana Kuznetsova ◽  
Katrin Rosenvald ◽  
Ivika Ostonen ◽  
Heljä-Sisko Helmisaari ◽  
Malle Mandre ◽  
...  

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 519
Author(s):  
Laura Pikkarainen ◽  
Jaana Luoranen ◽  
Heli Peltola

Deep planting is recommended in Nordic countries only for normal-sized container seedlings planted on mounds. Its effects on smaller-sized seedlings are poorly understood. We studied the effects of planting depth on the early field performance of small-sized silver birch (Betula pendula Roth) and Scots pine (Pinus sylvestris L.) container seedlings. Silver birch seedlings (mean height of 16 cm) were planted to depths of 3, 6 and 8 cm on spot mounds in May 2016. Scots pine seedlings (mean height of 9 cm) were planted to depths of 2, 5 and 8 cm on inverted mounds in September 2018 and May 2019. At the end of the first growing season, the deeper-planted birch seedlings were the tallest, as opposed to the deeper-planted Scots pine seedlings. However, the height differences between the planting depths were not apparent until the end of the second growing season in both tree species. Deeper planting decreased damage in Scots pine seedlings in the first growing season, which was not observed in silver birch. Based on our findings, small-sized Scots pine and silver birch seedlings can be planted safely at 6–8 cm planting depths, if at least 20% and 50% of their shoots, respectively, are above ground.


2013 ◽  
Vol 43 (1) ◽  
pp. 103-107 ◽  
Author(s):  
Björn Berg ◽  
Chunjiang Liu ◽  
Ryszard Laskowski ◽  
Matthew Davey

Using literature data, we investigated coniferous and broadleaf litter from 58 tree species using a database encompassing concentrations of N and acid-unhydrolyzable residue (AUR) (gravimetric lignin) in newly shed litter, mean annual temperature, and mean annual precipitation. Our aims were to (i) demonstrate any large-scale relationships between concentrations of N and AUR in foliar litter and (ii) determine differences in this respect among litter from Pinus and Quercus. To this end, we had collected foliar litter data for Asia and Europe, forming a climate gradient. Litter from broadleaf and coniferous trees differed significantly in concentrations of N (p < 0.0001, 9.64 versus 5.50 mg/g, respectively) and AUR (p < 0.0001, 219 versus 292 mg/g, respectively). There were highly significant positive linear relationships between concentrations of N and AUR for broadleaf (p < 0.0001) and coniferous litter (p < 0.0001). There were also significant positive relationships for AUR as a function of N concentration for the genera Pinus and Quercus but not within species. That for Scots pine (Pinus sylvestris L.) was negative and that for common oak (Quercus robur L.) not significant.


2011 ◽  
Vol 41 (9) ◽  
pp. 1779-1794 ◽  
Author(s):  
Anna Lintunen ◽  
Risto Sievänen ◽  
Pekka Kaitaniemi ◽  
Jari Perttunen

The interplay between plant structure and functioning determines vital plant characteristics, such as the efficiency of light capture by the foliage, and thus continuous efforts have attempted to include plant architecture in plant growth models. We constructed two crown structure models enabling the generation of 3D trees using simple tree measurements as input for Scots pine ( Pinus sylvestris L.) and silver birch ( Betula pendula Roth.), boreal species growing in mixed stands. The data for the models were obtained from sample-based digitizing of 3D crown architecture accompanied by characterizations of stem, branch, and foliage volumes and biomass. A set of equations was used to predict local crown characteristics on the basis of local predictors and tree-level input variables such as tree height, crown height, diameter at breast height, and the degree of competition. The 3D tree model was realized within the LIGNUM tree modelling framework. Comparison with data showed that the model adequately predicts the distribution of biomass into different crown components as well as the distribution of foliage within the tree crowns. The applicability of the simulations is at its best when examining Scots pine and silver birch trees growing on medium fertile mixed stands in Finland.


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