Carbon and nitrogen flow in silver birch and Norway spruce connected by a common mycorrhizal mycelium

Mycorrhiza ◽  
1997 ◽  
Vol 6 (6) ◽  
pp. 465-467 ◽  
Author(s):  
H. Ek ◽  
S. Andersson ◽  
B. Söderström
2010 ◽  
Vol 259 (3) ◽  
pp. 390-398 ◽  
Author(s):  
Marjo Palviainen ◽  
Leena Finér ◽  
Raija Laiho ◽  
Ekaterina Shorohova ◽  
Ekaterina Kapitsa ◽  
...  

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 943
Author(s):  
Katri Nissinen ◽  
Virpi Virjamo ◽  
Antti Kilpeläinen ◽  
Veli-Pekka Ikonen ◽  
Laura Pikkarainen ◽  
...  

We studied the growth responses of boreal Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies L. Karst.) and silver birch (Betula pendula Roth) seedlings to simulated climate warming of an average of 1.3 °C over the growing season in a controlled field experiment in central Finland. We had six replicate plots for elevated and ambient temperature for each tree species. The warming treatment lasted for the conifers for three growing seasons and for the birch two growing seasons. We measured the height and diameter growth of all the seedlings weekly during the growing season. The shoot and root biomass and their ratios were measured annually in one-third of seedlings harvested from each plot in autumn. After two growing seasons, the height, diameter and shoot biomass were 45%, 19% and 41% larger in silver birch seedlings under the warming treatment, but the root biomass was clearly less affected. After three growing seasons, the height, diameter, shoot and root biomass were under a warming treatment 39, 47, 189 and 113% greater in Scots pine, but the root:shoot ratio 29% lower, respectively. The corresponding responses of Norway spruce to warming were clearly smaller (e.g., shoot biomass 46% higher under a warming treatment). As a comparison, the relative response of height growth in silver birch was after two growing seasons equal to that measured in Scots pine after three growing seasons. Based on our findings, especially silver birch seedlings, but also Scots pine seedlings benefitted from warming, which should be taken into account in forest regeneration in the future.


Forests ◽  
2016 ◽  
Vol 7 (12) ◽  
pp. 282 ◽  
Author(s):  
Filip Oulehle ◽  
Michal Růžek ◽  
Karolina Tahovská ◽  
Jiří Bárta ◽  
Oldřich Myška

2012 ◽  
Vol 32 (6) ◽  
pp. 724-736 ◽  
Author(s):  
J. Pumpanen ◽  
J. Heinonsalo ◽  
T. Rasilo ◽  
J. Villemot ◽  
H. Ilvesniemi

2021 ◽  
pp. 112218
Author(s):  
Steigvilė Byčenkienė ◽  
Daria Pashneva ◽  
Ieva Uogintė ◽  
Julija Pauraitė ◽  
Agnė Minderytė ◽  
...  

2010 ◽  
Vol 52 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Mait Lang

Metsa katvuse ja liituse hindamine lennukilt laserskanneriga Tests were carried out in mature Scots pine, Norway spruce and Silver birch stands at Järvselja, Estonia, to estimate canopy cover (K) and crown cover (L) from airborne lidar data. Independent estimates Kc and Lc for K and L were calculated from the Cajanus tube readings made on the ground at 1.3 m height. Lidar data based cover estimates depended on the inclusion of different order returns significantly. In all the stands first order return based estimate K1 was biased positively (3-10%) at the reference height of 1.3 m compared to ground measurements. All lidar based estimates decreased with increasing the reference height. Single return (Ky) and all return (Kk) based canopy cover estimates depended more on the sand structure compared to K1. The ratio of all return count to the first return count D behaved like crown cover estimate in all stands. However, in spruce stand D understimated Lc significantly. In the Scots pine stand K1(1.3) = 0.7431 was most similar canopy cover estimate relative to the ground estimate Kc = 0,7362 whereas Ky(1.3) and Kk(1.3) gave significant underestimates (>15%) of K. Caused by the simple structure of Scots pine stand - only one layer pine trees, the Cajanus tube based canopy cover (Kc), crown cover (Lc) and lidar data based canopy density D(1.3) values were rather similar. In the Norway spruce stand and in the Silver birch stand second layer and regeneration trees were present. In the Silver birch stand Kk(1.3) and Ky(1.3) estimated Kc rather well. In the Norway spruce stand Ky(1.3) and K1(1.3) were the best estimators of Kc whereas Kk(1.3) underestimated canopy cover. Lidar data were found to be usable for canopy cover and crown cover assessment but the selection of the estimator is not trivial and depends on the stand structure.


2002 ◽  
Vol 55 (6) ◽  
pp. 535 ◽  
Author(s):  
V. S. Baron ◽  
E. Mapfumo ◽  
A. C. Dick ◽  
M. A. Naeth ◽  
E. K. Okine ◽  
...  

Forests ◽  
2018 ◽  
Vol 9 (4) ◽  
pp. 208 ◽  
Author(s):  
Laith ALRahahleh ◽  
Antti Kilpeläinen ◽  
Veli-Pekka Ikonen ◽  
Harri Strandman ◽  
Ari Venäläinen ◽  
...  

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