Tree-ring analysis as an aid to evaluating the effects of pollution on tree growth

1989 ◽  
Vol 19 (9) ◽  
pp. 1174-1189 ◽  
Author(s):  
J. L. Innes ◽  
E. R. Cook

Tree-ring analysis has frequently been used to assess the impact of pollution on tree growth around point sources. Its use in studies of the impact of air pollutants operating on a regional scale is more controversial. A variety of analysis procedures is available, and these should be carefully selected in relation to the problem under investigation. To assess the impact of regional air pollutants, nonstationary response functions, as developed using the Kalman filter technique, offer considerable potential. In the current spruce–fir debate in North America, tree-ring analysis has indicated that the current declines are unprecedented within the last 200 years in terms of the duration of depressed growth or the extent to which growth has been depressed. It has indicated that red spruce (Picearubens Sarg.) is particularly susceptible to certain climatic conditions (higher than average July and August temperatures and lower than average November and December temperatures). Since the onset of the decline, the growth of red spruce has been less than predicted from climatic factors, suggesting that the importance of some other effect on growth has increased or that there has been a change in the climatic factors influencing growth. In Europe, tree-ring analysis has helped to quantify the relationship between crown density and increment.

Trees ◽  
2017 ◽  
Vol 31 (5) ◽  
pp. 1683-1695 ◽  
Author(s):  
Alexander Land ◽  
Matthias Wehr ◽  
Kai-Uwe Roelfs ◽  
Simon Epkes ◽  
Daniel Reichle ◽  
...  

1985 ◽  
Author(s):  
M.L. Parker ◽  
F.G. Taylor ◽  
T.W. Doyle ◽  
B.E. Foster ◽  
C. Cooper ◽  
...  

2013 ◽  
Vol 22 (2) ◽  
pp. 36-42 ◽  
Author(s):  
D. K. Kharal ◽  
T. Fujiwara

Tree ring analysis is one of the most useful methods in volume and biomass estimation especially of the conifer trees. Ring width and ring density are important parameters in dendrochronological research. The present research was carried out with the aim of estimating the radial and volumetric growth of the Japanese Cypress trees (Chamaecyperis obstusa and C. pisifera). Destructive method was used while collecting the wood samples from the selected trees. Ring width and ring density were measured using soft X-ray densitometry method using micro-densitometer. Computer programme, developed by the Forestry and Forest Products Research Institute, Japan was used to analyze the ring with and ring density data. The average ring width of the Chamaecyparis spp. was found to be about 3.4 mm at the age of 30 years. However, two types of growth pattern were observed in the trees. Average radial growth was about 5% every year during the first 20 years of the tree age, whereas, the average radial growth was negative during the age of 20–30 years. Average density of the tree rings were increased by about 11% in each height of the trees starting from the ground. Similarly, the stem density decreased by about 3.4% annually along the radial direction from the pith.DOI: http://dx.doi.org/10.3126/banko.v22i2.9197Banko Janakari: A Journal of Forestry Information for NepalVol. 22, No. 2, 2012 November Page: 36-42 Uploaded date: 12/1/2013 


2015 ◽  
Vol 166 (6) ◽  
pp. 389-398 ◽  
Author(s):  
Brigitte Rohner ◽  
Esther Thürig

Development of climate-dependent growth functions for the scenario model “Massimo” Tree growth is substantially influenced by climatic factors. In the face of climate change, climate effects should therefore be included in estimations of Switzerland's future forest productivity. In order to include climate effects in the growth functions of the “Massimo” model, which is typically applied to project forest resources in Switzerland, we statistically modelled climate effects on tree growth representatively for Switzerland by simultaneously considering further growth-influencing factors. First, we used tree ring data to evaluate how climate variables should be defined. This analyses showed that for modelling multi-year tree growth we should use averages of whole-year variables. Second, we fitted nonlinear mixed-effects models separately for the main tree species to individual-tree growth data from the Swiss National Forest Inventory. In these models, we combined climate variables defined according to the results of the tree ring study with various further variables that characterize sites, stands and individual trees. The quantified effects were generally plausible and explained convincingly the physiological differences between the species. The statistical growth models for the main tree species will now be included in the forest scenario model “Massimo”. This will allow for founded analyses of scenarios which assume changing climatic conditions.


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