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TR-SNP v1.0: A Desktop Tool to Link Tree Ring Width with Annual Aboveground Biomass Increment
by
Li, Yang
, Chen, Yizhao
, Shi, Zhixin
, Lin, Zhongyi
in
Bias
/ Biomass
/ Datasets
/ Dendrochronology
/ Dendroclimatology
/ Environmental conditions
/ Estimates
/ Estimation
/ Forest biomass
/ Forests
/ Tree rings
/ Trees
2024
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TR-SNP v1.0: A Desktop Tool to Link Tree Ring Width with Annual Aboveground Biomass Increment
by
Li, Yang
, Chen, Yizhao
, Shi, Zhixin
, Lin, Zhongyi
in
Bias
/ Biomass
/ Datasets
/ Dendrochronology
/ Dendroclimatology
/ Environmental conditions
/ Estimates
/ Estimation
/ Forest biomass
/ Forests
/ Tree rings
/ Trees
2024
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Do you wish to request the book?
TR-SNP v1.0: A Desktop Tool to Link Tree Ring Width with Annual Aboveground Biomass Increment
by
Li, Yang
, Chen, Yizhao
, Shi, Zhixin
, Lin, Zhongyi
in
Bias
/ Biomass
/ Datasets
/ Dendrochronology
/ Dendroclimatology
/ Environmental conditions
/ Estimates
/ Estimation
/ Forest biomass
/ Forests
/ Tree rings
/ Trees
2024
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TR-SNP v1.0: A Desktop Tool to Link Tree Ring Width with Annual Aboveground Biomass Increment
Journal Article
TR-SNP v1.0: A Desktop Tool to Link Tree Ring Width with Annual Aboveground Biomass Increment
2024
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Overview
The past couple of decades have witnessed an increasing application of tree ring observations to assess forest carbon (C) balance and its historical dynamics. To address the growing need for understanding long-term forest C sequestration dynamics through tree rings, we developed a new desktop tool (TR-SNP v1.0) that estimates the annual aboveground biomass increment (AABI) of trees from tree ring width (TRW). Users can easily process and convert TRW into AABI using either the built-in dataset or by uploading local TRW data. TR-SNP offers methods for correcting potential bias from unmeasured initial core width, converting TRW to diameter at breast height (DBH), and estimating AABI using species-specific allometric relationships. We provide examples from specific sites to demonstrate how TR-SNP functions and its potential for identifying bias sources of AABI estimation. We anticipate that TR-SNP will streamline the analysis of tree ring data and advance our understanding of forest biomass increment dynamics.
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