Larix decidua: Farjon, A.

Author(s):  
Keyword(s):  
1993 ◽  
Vol 88 (1) ◽  
pp. 73-77 ◽  
Author(s):  
Patrick von Aderkas ◽  
Parker Anderson

Planta ◽  
1969 ◽  
Vol 85 (2) ◽  
pp. 202-208 ◽  
Author(s):  
Marlies Franz ◽  
Hans Meier
Keyword(s):  

2017 ◽  
Vol 76 (2) ◽  
pp. 489-498 ◽  
Author(s):  
Günther Kain ◽  
Bernhard Lienbacher ◽  
Marius-Catalin Barbu ◽  
Klaus Richter ◽  
Alexander Petutschnigg

2007 ◽  
Vol 35 (2) ◽  
pp. 508-513 ◽  
Author(s):  
F. Gorian ◽  
S. Pasquini ◽  
M.I. Daws
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Author(s):  
D. W. Minter

Abstract Descriptions are given of Trimmatostroma scutellare, which are found on dead decaying branches, twigs and cones of conifers, including information on its geographical distribution (USA (California), Russia, Austria, Bulgaria, Czech Republic, UK, Iceland, Norther Ireland, Poland, Sweden, Switzerland and Ukraine), hosts (Abies sp., Cedrus libani, Juniperus communis, Larix decidua, L. europaea, L. kaempferi, L. komarovii, L. sibirica, Larix sp., Pinus contorta, P. maritima var. nigra, P. mugo, P. nigra, P. radiata, P. sibirica, P. sylvestris and Pinus sp.), other associated organisms (Cladosporium cladosporioides and Sclerophoma pithiophila [Sydowia polyspora]), diagnostic features, biology and conservation status.


1991 ◽  
pp. 335-337 ◽  
Author(s):  
David Ellis ◽  
Brent McCown ◽  
Darroll Skilling ◽  
Melanie Barker ◽  
Rodney Serres ◽  
...  

2016 ◽  
Vol 13 (5) ◽  
pp. 1537-1552 ◽  
Author(s):  
Marta Petrillo ◽  
Paolo Cherubini ◽  
Giulia Fravolini ◽  
Marco Marchetti ◽  
Judith Ascher-Jenull ◽  
...  

Abstract. Due to the large size (e.g. sections of tree trunks) and highly heterogeneous spatial distribution of deadwood, the timescales involved in the coarse woody debris (CWD) decay of Picea abies (L.) Karst. and Larix decidua Mill. in Alpine forests are largely unknown. We investigated the CWD decay dynamics in an Alpine valley in Italy using the chronosequence approach and the five-decay class system that is based on a macromorphological assessment. For the decay classes 1–3, most of the dendrochronological samples were cross-dated to assess the time that had elapsed since tree death, but for decay classes 4 and 5 (poorly preserved tree rings) radiocarbon dating was used. In addition, density, cellulose, and lignin data were measured for the dated CWD. The decay rate constants for spruce and larch were estimated on the basis of the density loss using a single negative exponential model, a regression approach, and the stage-based matrix model. In the decay classes 1–3, the ages of the CWD were similar and varied between 1 and 54 years for spruce and 3 and 40 years for larch, with no significant differences between the classes; classes 1–3 are therefore not indicative of deadwood age. This seems to be due to a time lag between the death of a standing tree and its contact with the soil. We found distinct tree-species-specific differences in decay classes 4 and 5, with larch CWD reaching an average age of 210 years in class 5 and spruce only 77 years. The mean CWD rate constants were estimated to be in the range 0.018 to 0.022 y−1 for spruce and to about 0.012 y−1 for larch. Snapshot sampling (chronosequences) may overestimate the age and mean residence time of CWD. No sampling bias was, however, detectable using the stage-based matrix model. Cellulose and lignin time trends could be derived on the basis of the ages of the CWD. The half-lives for cellulose were 21 years for spruce and 50 years for larch. The half-life of lignin is considerably higher and may be more than 100 years in larch CWD. Consequently, the decay of Picea abies and Larix decidua is very low. Several uncertainties, however, remain: 14C dating of CWD from decay classes 4 and 5 and having a pre-bomb age is often difficult (large age range due to methodological constraints) and fall rates of both European larch and Norway spruce are missing.


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