Reduction of decomposition rates of scots pine needle litter due to heavy-metal pollution

1991 ◽  
Vol 59 (1-2) ◽  
Author(s):  
Bj�rn Berg ◽  
Gunnar Ekbohm ◽  
Bengt S�derstr�m ◽  
H�kan Staaf
Keyword(s):  
Heavy Metal ◽  
Scots Pine ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pine Needle ◽  
Decomposition Rates ◽  
Needle Litter

Interactions between precipitation and Scots pine canopies along a heavy-metal pollution gradient

1999 ◽  
Vol 106 (1) ◽  
pp. 129-137 ◽  
Author(s):  
T.M. Nieminen ◽  
J. Derome ◽  
H.-S. Helmisaari
Keyword(s):  
Heavy Metal ◽  
Scots Pine ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Gradient

Effect of heavy metal pollution of forest soil on radial growth of Scots pine

2007 ◽  
Vol 37 (2) ◽  
pp. 136-142 ◽  
Author(s):  
A. Fedorkov
Keyword(s):  
Heavy Metal ◽  
Forest Soil ◽  
Scots Pine ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Radial Growth

Effects of a long-term heavy-metal pollution on Scots pine forests

2003 ◽  
Vol 107 ◽  
pp. 949-952 ◽  
Author(s):  
T. M. Nieminen
Keyword(s):  
Heavy Metal ◽  
Scots Pine ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pine Forests ◽  
Scots Pine Forests

Heavy Metal Pollution and Decomposition of Spruce Needle Litter

Oikos ◽  
1973 ◽  
Vol 24 (3) ◽  
pp. 402 ◽  
Author(s):  
Åke Rühling ◽  
Germund Tyler ◽  
Ake Ruhling
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Needle Litter

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

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