TY - JOUR
T1 - Experiments of the efficacy of tree ring blue intensity as a climate proxy in central and western China
AU - Zheng, Yonghong
AU - Shen, Huanfeng
AU - Abernethy, Rory
AU - Wilson, Rob
N1 - This paper was funded by the China Scholarship Council (grant no. 202006275018), the National Natural Science Foundation of China (NSFC, project no. 41771227), and Key Technology Projects of the Hubei Provincial Company of the China National Tobacco Corporation (grant nos. 027Y2021-020 and 027Y2022-006). Rob Wilson was further funded by the NSF/NERC project (grant no. NE/W007223/1 – Understanding Trans-Hemispheric Modes of Climate Variability: A Novel Tree-Ring Data Transect spanning the Himalaya to the Southern Ocean).
PY - 2023/8/21
Y1 - 2023/8/21
N2 - To investigate the potential value of tree ring blue intensity as a robust
climate proxy in central and western China, four species from five sites were
assessed. As well as latewood inverted blue intensity, we also examined
earlywood blue intensity. To explore the sensitivity of using different
extraction parameter settings using the software CooRecorder, seven
percentile (P) variant settings for earlywood blue intensity and latewood
inverted blue intensity were used, namely P50 : 50, P60 : 40, P70 : 30, P80 : 20,
P85 : 15, P90 : 10, and P95 : 5. Age-dependent spline was used for all, and the
positive trends were not retained. Correlation analysis was applied between
the tree ring parameter chronologies and monthly/seasonal mean temperature,
precipitation, and self-calibrated Palmer drought severity index variables.
Linear regression was also used to further highlight the potential of
developing climate reconstructions using these species. Only subtle
differences were found between the different percentile extraction variants.
As has been shown for many other Northern Hemisphere studies, latewood
inverted blue intensity expresses a strong positive relationship with
growing-season temperatures (the two southern sites explain almost 56 % of
the temperature variance when combined). However, the low latitude of these
sites shows an exciting potential for regions south of 30∘ N that are
traditionally not targeted for temperature reconstructions. Earlywood blue
intensity also shows good potential to reconstruct hydroclimate parameters
in some humid areas.
AB - To investigate the potential value of tree ring blue intensity as a robust
climate proxy in central and western China, four species from five sites were
assessed. As well as latewood inverted blue intensity, we also examined
earlywood blue intensity. To explore the sensitivity of using different
extraction parameter settings using the software CooRecorder, seven
percentile (P) variant settings for earlywood blue intensity and latewood
inverted blue intensity were used, namely P50 : 50, P60 : 40, P70 : 30, P80 : 20,
P85 : 15, P90 : 10, and P95 : 5. Age-dependent spline was used for all, and the
positive trends were not retained. Correlation analysis was applied between
the tree ring parameter chronologies and monthly/seasonal mean temperature,
precipitation, and self-calibrated Palmer drought severity index variables.
Linear regression was also used to further highlight the potential of
developing climate reconstructions using these species. Only subtle
differences were found between the different percentile extraction variants.
As has been shown for many other Northern Hemisphere studies, latewood
inverted blue intensity expresses a strong positive relationship with
growing-season temperatures (the two southern sites explain almost 56 % of
the temperature variance when combined). However, the low latitude of these
sites shows an exciting potential for regions south of 30∘ N that are
traditionally not targeted for temperature reconstructions. Earlywood blue
intensity also shows good potential to reconstruct hydroclimate parameters
in some humid areas.
U2 - 10.5194/bg-20-3481-2023
DO - 10.5194/bg-20-3481-2023
M3 - Article
AN - SCOPUS:85171137692
SN - 1726-4170
VL - 20
SP - 3481
EP - 3490
JO - Biogeosciences
JF - Biogeosciences
IS - 16
ER -