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Evaluating the potential of an individual-tree sampling strategy for dendroecological investigations using the Italian National Forest Inventory data
Evaluating the potential of an individual-tree sampling strategy for dendroecological investigations using the Italian National Forest Inventory data
- Source :
- Dendrochronologia. 38:90-97
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- European National Forest Inventories (NFIs) are well established in most of the European countries. In some NFIs, core samples are taken to estimate volume increments at annual resolution. However, the potential of the NFI for dendroecological investigations has not been evaluated so far. Therefore, the aim of this study was to test the potential of dendrochronological data collected during the Italian NFI in 2006. Silver fir was selected as a test species. Core samples were taken from eighty-one trees including one sample per inventory plot (IP). The 81 IPs were distributed across the Italian Alps and the northern Apennine thus well representing the site conditions of the study area. The effects of the detrending method and sample size on detecting middle- to long-term growth trends and high-frequency climate signals were tested. Further, cluster analysis was applied to find dissimilarities among tree-ring width (TRW) series. Results suggest the detrending method to be the most important factor for detecting growth trends, but not for identification of high-frequency climate signals. Sample size essentially influences the final mean chronology, but it does not bring new information when larger than 30 series. Two groups of trees were recognised with distinct middle-term TRW patterns, although being the same in terms of climate sensitivity. Results are mostly in line with recent findings of other authors, which suggest the potential of the NFI data for dendroecological investigations.
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
Ecology
biology
Sampling (statistics)
Climate change
Sample (statistics)
Plant Science
biology.organism_classification
Disease cluster
010603 evolutionary biology
01 natural sciences
Plot (graphics)
Abies alba
Geography
Sample size determination
Climate sensitivity
Physical geography
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 11257865
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Dendrochronologia
- Accession number :
- edsair.doi...........f40b949e5dbc662bafdd55530792cc23
- Full Text :
- https://doi.org/10.1016/j.dendro.2016.03.011