scholarly journals Assessing long-term changes in tropical forest dynamics: a first test using tree-ring analysis

Trees ◽  
2010 ◽  
Vol 25 (1) ◽  
pp. 115-124 ◽  
Author(s):  
Danaë M. A. Rozendaal ◽  
Claudia C. Soliz-Gamboa ◽  
Pieter A. Zuidema
Keyword(s):  
Tropical Forest ◽  
Tree Ring ◽  
Forest Dynamics ◽  
Tree Ring Analysis ◽  
Long Term Changes ◽  
Ring Analysis ◽  
Tropical Forest Dynamics

scholarly journals Growth-Climate Relationships and Long-Term Growth Trends of the Tropical Forest Tree Choerospondias axillaris (Anacardiaceous) in East-Central Thailand

Forests ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1655
Author(s):  
Wisawakorn Surayothee ◽  
Supaporn Buajan ◽  
Peili Fu ◽  
Nathsuda Pumijumnong ◽  
Zexin Fan ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Tree Ring ◽  
Monsoon Season ◽  
Forest Tree ◽  
East Central ◽  
Tree Ring Analysis ◽  
Growth Trends ◽  
Ring Analysis ◽  
Central Thailand

Tropical forests play important roles in global carbon cycling. Tree-ring analysis can provide important information for understanding long-term trends in carbon-fixation capacity under climate change. However, tree-ring studies in tropical regions are limited. We carried out a tree-ring analysis to investigate the dendrochronological potential of the tropical forest tree Choerospondias axillaris (Anacardiaceae) in east-central Thailand. Our study focused on growth-climate relationships and long-term growth trends. A chronology was constructed covering the period from 1932 to 2019. The tree-ring width index of C.axillaris was positively correlated with precipitation in June, July, and October. Furthermore, growth of C.axillaris was positively correlated with the Standardized Precipitation-Evapotranspiration Index (SPEI) from July to October, indicating that growth of C.axillaris is mainly limited by moisture availability in the late monsoon season. Moving correlation analysis further revealed the consistency and temporal stability of the relationship of tree growth with monsoon season precipitation and SPEI during the period under study. There was a significant increasing trend in long-term growth from 1932 to 2002 (slope = 0.017, p < 0.001); however, long-term growth decreased from 2003 to 2019 (slope = −0.014, p < 0.001). Our study provides important insight into the growth-climate correlations of a broad-leaved tree species in a dry evergreen forest in tropical Asia.

No evidence for consistent long-term growth stimulation of 13 tropical tree species: results from tree-ring analysis

2015 ◽  
Vol 21 (10) ◽  
pp. 3762-3776 ◽  
Author(s):  
Peter Groenendijk ◽  
Peter van der Sleen ◽  
Mart Vlam ◽  
Sarayudh Bunyavejchewin ◽  
Frans Bongers ◽  
...  
Keyword(s):  
Tree Ring ◽  
Tree Species ◽  
Growth Stimulation ◽  
Tropical Tree ◽  
Tree Ring Analysis ◽  
Tropical Tree Species ◽  
Ring Analysis ◽  
Stimulation Of

Potential of tree-ring analysis in a wet tropical forest: A case study on 22 commercial tree species in Central Africa

2014 ◽  
Vol 323 ◽  
pp. 65-78 ◽  
Author(s):  
Peter Groenendijk ◽  
Ute Sass-Klaassen ◽  
Frans Bongers ◽  
Pieter A. Zuidema
Keyword(s):  
Tropical Forest ◽  
Tree Ring ◽  
Tree Species ◽  
Central Africa ◽  
Tree Ring Analysis ◽  
Ring Analysis

scholarly journals A novel computer-aided tree-ring analysis software (CATS): oak earlywood vessel size reveals a clear spring heat sum response

Trees ◽  
2017 ◽  
Vol 31 (5) ◽  
pp. 1683-1695 ◽  
Author(s):  
Alexander Land ◽  
Matthias Wehr ◽  
Kai-Uwe Roelfs ◽  
Simon Epkes ◽  
Daniel Reichle ◽  
...  
Keyword(s):  
Tree Ring ◽  
Analysis Software ◽  
Tree Ring Analysis ◽  
Vessel Size ◽  
Computer Aided ◽  
Earlywood Vessel ◽  
Ring Analysis

scholarly journals Radiation densitometry in tree-ring analysis: a review and procedure manual

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

scholarly journals Growth and yield estimation of Chamaecyparis spp. through tree ring analysis

2013 ◽  
Vol 22 (2) ◽  
pp. 36-42 ◽  
Author(s):  
D. K. Kharal ◽  
T. Fujiwara
Keyword(s):  
Tree Ring ◽  
Radial Growth ◽  
Ring Width ◽  
Forest Products ◽  
Growth And Yield ◽  
Tree Age ◽  
Biomass Estimation ◽  
Tree Ring Analysis ◽  
Ring Density ◽  
Ring Analysis

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 

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