Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2639
Title: Dead wood and stand structure - relationships for forest plots across Europe
Authors: Seidling, Walter
Travaglini, Davide
Meyer, Peter
Waldner, Peter
Fischer, Richard
Granke, Oliver
Chirici, Gherardo
Corona, Piermaria
Keywords: Structural Diversity;Principle Component;Forest Monitoring;ICP Forests;ForestBIOTA
Issue Date: 2014
Publisher: The Italian Society of Silviculture and Forest Ecology
Source: Seidling, W. et al. 2014. Dead wood and stand structure - relationships for forest plots across Europe. "iForest" 7: 269-281
Abstract: 
Dead wood and stand structural parameters were sampled in eleven countries using standardized methods at about 90 intensive forest monitoring sites across large parts of Europe. Besides descriptions and correlation analyses of dead wood and stand structure parameters, a joint evaluation of both fields
was performed by principal component analysis (PCA). The extracted principal components were subsequently regressed against important numerical and categorical site-related parameters like soil pH, altitude, or forest type. Dead wood volumes varied largely across plots, however, 77 percent of them had
volumes below 25 cubic meter per hectare. While all fractions of dead wood - except cut stumps - reveal high intercorrelation, different aspects of stand structure varied more independently. Clark-Evans index, number of tree species and standard deviation of tree trunk diameters revealed as most selfcontained.
The 1st PCA axis covered 46 percent of the total variance and was
mostly loaded by total dead wood volume denoting it as the feature differentiating
forests most. The 2nd axis was primarily loaded by tree species diversity
together with stem density and the Clark-Evans index. On the 3rd axis diameter
differentiation of trees together with the volume of cut stumps prevailed,
while the 4th was mainly related to the decay class of woody debris. Bivariate ex post analyses revealed country as a significant predictor of all PCA axes, underlining
national forest legislations and management rules as crucial for all investigated
structural features of forests. Forest type was related only to the 3rd and 2nd axis. Only the 3rd axis revealed significant relationships with some ecological
site factors (age, number of tree layers, latitude, altitude). The outcome underlines the significance of nationally enacted forest legislations for both important structural and biodiversity-relevant features of forest ecosystems and encourages similar approaches with data from national forest inventories
or monitoring systems.
URI: http://www.sisef.it/iforest/contents/?id=ifor1057-007
http://hdl.handle.net/2067/2639
ISSN: 1971-7458
DOI: 10.3832/ifor1057-007
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

Files in This Item:
File Description SizeFormat
iForest_deadwood_Seidling1.pdf129.06 kBAdobe PDFView/Open
Show full item record

Page view(s)

1
Last Week
1
Last month
0
checked on Oct 29, 2020

Download(s)

2
checked on Oct 29, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.