THE CHEMICAL-COMPOSITION OF NEWLY SHED NEEDLE LITTER OF SCOTS PINE AND SOME OTHER PINE SPECIES IN A CLIMATIC TRANSECT .10. LONG-TERM DECOMPOSITION IN A SCOTS PINE FOREST

Citation
B. Berg et al., THE CHEMICAL-COMPOSITION OF NEWLY SHED NEEDLE LITTER OF SCOTS PINE AND SOME OTHER PINE SPECIES IN A CLIMATIC TRANSECT .10. LONG-TERM DECOMPOSITION IN A SCOTS PINE FOREST, Canadian journal of botany, 73(9), 1995, pp. 1423-1435
Citations number
29
Categorie Soggetti
Plant Sciences
Journal title
ISSN journal
00084026
Volume
73
Issue
9
Year of publication
1995
Pages
1423 - 1435
Database
ISI
SICI code
0008-4026(1995)73:9<1423:TCONSN>2.0.ZU;2-6
Abstract
Significant differences in the chemical composition of falling needle litter were found among various pine species. A comparison between the needle litter of northern species (Scots pine and lodgepole pine) and that of 17 other, southern species combined showed that concentration s of N, P, Mg, K, and lignin were significantly lower in the northern group. In contrast, the Mn concentration was significantly higher in t his northern group. Along a transect from the Barents Sea (69 degrees 45'N) to the Carpathian Mountains (49 degrees 53'N), concentrations of N, P, S, and K in Scots pine litter fall increased significantly. The best-fit regression models described asymptotic curves, suggesting th at concentrations of these major nutrients approach their maximum valu es at sites with high values for actual evapotranspiration (AET). Low values were found in the north. By contrast, Mn concentrations, increa sed with latitude and decreased with increasing AET. High covariation among concentrations of the major nutrients (N, P, S, and K) can be at tributed to their being major constituents of structural compounds. An alysis of various regression models relating the chemical composition of needle litter fall to latitude and AET, together with a factor anal ysis, suggested that concentrations of N, P, S, and K were related mai nly to climatic conditions, whereas those of Mg and Mn were related mo re to site-specific properties such as soil fertility. A high level of predictability was found for concentrations of N, P, S, and K using m ultiple regression, with values for R(adj)(2) between 0.63 and 0.93.