Blue intensity from a tropical conifer’s annual rings for climate reconstruction: An ecophysiological perspective
| Autor: | Daniel K. Stahle, Tran Quoc Trung Nguyen, Rob Wilson, Rosanne D'Arrigo, Nicole Davi, Kyle Hansen, Brendan M. Buckley, Stephanie C. Schmiege, Rose Oelkers, Canh Nam Le, Kevin L. Griffin |
|---|---|
| Přispěvatelé: | University of St Andrews. School of Earth & Environmental Sciences, University of St Andrews. Scottish Oceans Institute, University of St Andrews. St Andrews Sustainability Institute |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences Cupressaceae NDAS Plant Science Dendroclimatology Monsoon Atmospheric sciences 01 natural sciences Monsoon climate Evapotranspiration Dendrochronology Tropical dendrochronlogia SDG 15 - Life on Land 0105 earth and related environmental sciences GE Ecology biology Fokienia hodginsii Taiga biology.organism_classification Sea surface temperature Vietnam Blue intensity Environmental science GE Environmental Sciences 010606 plant biology & botany |
| Zdroj: | Dendrochronologia. 50:10-22 |
| ISSN: | 1125-7865 |
| DOI: | 10.1016/j.dendro.2018.04.003 |
| Popis: | This research was funded by the National Science Foundation of the USA research grants AGS 12-03818 and AGS 13-03976, with additional funding from the Lamont-Doherty Earth Observatory’s Climate Center and Climate and Life initiatives. We developed Blue Intensity (BI) measurements from the crossdated ring sequences of Fokienia hodginsii (of the family Cupressaceae) from central Vietnam. BI has been utilized primarily as an indirect proxy measurement of latewood (LW) density of conifers (i.e., LWBI) from high latitude, temperature-limited boreal forests. As such, BI closely approximates maximum latewood density (MXD) measurements made from soft x-ray. The less commonly used earlywood (EW) BI (EWBI) represents the minimum density of EW and is influenced by the lighter pixels from the vacuoles or lumens of cells. The correlation of our BI measurements with climate, strongest for EWBI, rivals that for total ring width (RW), and we demonstrate that it can be successfully employed as an independent predictor for reconstruction models. EWBI exhibits robust spatial correlations with winter and spring land temperature, sea surface temperature (SST) over the regional domain of ENSO, and the Standardized Precipitation Evapotranspiration Index (SPEI) over Indochina. However, in order to mitigate the effects of color changes at the heartwood – sapwood boundary we calculated ΔBI (EWBI-LWBI), and it too exhibits a significant (p |
| Databáze: | OpenAIRE |
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