Spatial variability of throughfall chemistry and selected soil properties as influenced by stem distance in a mature Norway spruce (Picea abies, Karst.) stand

1995 ◽  
Vol 176 (1) ◽  
pp. 139-147 ◽  
Author(s):  
J. Seiler ◽  
E. Matzner
Keyword(s):  
Picea Abies ◽  
Spatial Variability ◽  
Soil Properties ◽  
Norway Spruce ◽  
Throughfall Chemistry

scholarly journals Multivariate statistical approach to comparison of the nutrient status of Norway spruce (Picea abies [L.] Karst.) and top-soil properties in differently managed forest stands

2008 ◽  
Vol 53 (No. 3) ◽  
pp. 101-112 ◽  
Author(s):  
P. Samec ◽  
D. Vavříček ◽  
P. Šimková ◽  
J. Pňáček
Keyword(s):  
Picea Abies ◽  
Soil Properties ◽  
Norway Spruce ◽  
Principal Component ◽  
Nutrient Status ◽  
Element Cycling ◽  
Multivariate Statistical ◽  
Plant Soil ◽  
Multivariate Statistical Approach ◽  
Altitudinal Zone

The soil is an irreplaceable component of forest ecosystems. Soil-forming processes directly influence element cycling (EC). Plant-soil interaction is a specific part of EC. Plant-soil interactions were observed on an example of natural spruce stand (NSS), semi-natural spruce stand (SNSS) and allochthonous spruce stand (ASS) in conditions of the spruce forest altitudinal zone (1,140&minus;1,260 m a.s.l.; +3.0&deg;C; 1,200 mm) of the Hrubý Jeseník Mts. (Czech Republic, Central Europe), where Norway spruce (<i>Picea abies</i> [L.] Karst.) is the main edificator and stand-forming tree species. We evaluated the soil properties of H- and Ep-horizons at selected sites with Haplic and Skeletic Podzols and they were compared with the nutrient status of spruce. A method of the principal component analysis was used for definition of the basic hypotheses: (1) each forest stand is in specific and topically individual interactions with soil and these interactions influence its state, (2) the influence of forest management reflects in humification and in the nutrient status in plant assimilatory tissues. Cluster analysis calculated results comparable with the multivariate analysis of variance. The results show that the continuity of linear and multivariate statistical methods gives the approach to detection of the forest stage based on soil and plant tissue data.

Effects of repeated whole-tree harvesting on soil properties and tree growth in a Norway spruce (Picea abies (L.) Karst.) stand

2014 ◽  
Vol 313 ◽  
pp. 180-187 ◽  
Author(s):  
Lilli Kaarakka ◽  
Pekka Tamminen ◽  
Anna Saarsalmi ◽  
Mikko Kukkola ◽  
Heljä-Sisko Helmisaari ◽  
...  
Keyword(s):  
Picea Abies ◽  
Soil Properties ◽  
Norway Spruce ◽  
Tree Growth ◽  
Whole Tree Harvesting ◽  
Whole Tree ◽  
Tree Harvesting

Nitrogen distribution in young Norway spruce (Picea abies) trees as affected by pedospheric nitrogen supply

1997 ◽  
Vol 101 (4) ◽  
pp. 764-769 ◽  
Author(s):  
Heike Stoermer ◽  
Bettina Seith ◽  
Ulrike Hanemann ◽  
Eckhard George ◽  
Heinz Rennenberg
Keyword(s):  
Picea Abies ◽  
Norway Spruce ◽  
Nitrogen Supply ◽  
Nitrogen Distribution
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