Patterns of moisture source and climate variability in the southeastern United States: a four-century seasonally resolved tree-ring oxygen-isotope record

Labotka, Dana M.; Grissino-Mayer, Henri D.; Mora, Claudia I.; Johnson, Eric J.

doi:10.1007/s00382-015-2694-y

Cited by 21 publications

(12 citation statements)

References 64 publications

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“…This spatial trend was evident even after removal of the low-frequency autocorrelation (Figure 5c,f Once the cross-correlations were removed from the intraseasonal components of the time series, thereby creating discrete seasonal time series, we were able to more accurately assess the direct influences of summer precipitation, and associated reduced VPD, on the isotopic composition of the LW adj . As previously reported, there are clear differential influences of summer climate on the δ 13 C and δ 18 O of LW (Labotka et al, 2016;Sargeant & Singer, 2016;Treydte et al, 2014). Consistent with previously reported observations, in this region, VPD has a particularly strong influence on LW cellulose isotope ratios .…”

Section: Geographical Patterns In the Isotope Variability In Ew And Lwsupporting

confidence: 91%

“…These residual correlations most likely reflect higher-frequency effects, such as the common utilization of stored carbohydrate pools or stored soil water pools within the same year. The common use of resources would introduce interseasonal lags in the influence of climate on observed patterns in iWUE, g s and A (Helle & Schleser, 2004;Kimak & Leuenberger, 2015;Kress et al, 2009;Labotka et al, 2016;Leavitt, 2010;Sargeant & Singer, 2016;Vaganov et al, 2009). The linear regression approach that we applied to the EW1 and LW time series was effective in distinguishing sites that show clear evidence of seasonal dependence of isotope ratios on climate.…”

Section: Seasonal Relationships Obscured By Seasonal Lagsmentioning

confidence: 99%

“…Most often, tree-ring stable-isotope analysis is used to study interannual and decadal scale relationships between climate and carbon/water cycling (Bale et al, 2011;Leavitt, 2002;Roden & Ehleringer, 2007;Treydte et al, 2007;Wright & Leavitt, 2006). However, more finely resolved temporal-scale analyses, such as those utilizing the earlywood (EW) and latewood (LW) portions of annual rings, have also been used Fritts, 1976;Griffin et al, 2013;Kerhoulas, Kolb, & Koch, 2017;Labotka, Grissino-Mayer, Mora, & Johnson, 2016;Leavitt, 2002;Meko & Baisan, 2001;Ogée et al, 2009;Pellizzari, Camarero, Gazol, Sangüesa-Barreda, & Carrer, 2016;Sargeant & Singer, 2016;Szejner et al, 2016;Vaganov et al, 2009;Walcroft, Silvester, Whitehead, & Kelliher, 1997). At the onset of the growing season, cambial activity in conifer stems initiates xylogenesis forming earlywood (EW), which is usually characterized by large-diameter tracheids.…”

Section: Introductionmentioning

confidence: 99%

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Disentangling seasonal and interannual legacies from inferred patterns of forest water and carbon cycling using tree‐ring stable isotopes

Szejner

Wright

Belmecheri

et al. 2018

Global Change Biology

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Tree-ring carbon and oxygen isotope ratios have been used to understand past dynamics in forest carbon and water cycling. Recently, this has been possible for different parts of single growing seasons by isolating anatomical sections within individual annual rings. Uncertainties in this approach are associated with correlated climate legacies that can occur at a higher frequency, such as across successive seasons, or a lower frequency, such as across years. The objective of this study was to gain insight into how legacies affect cross-correlation in the δ C and δ O isotope ratios in the earlywood (EW) and latewood (LW) fractions of Pinus ponderosa trees at thirteen sites across a latitudinal gradient influenced by the North American Monsoon (NAM) climate system. We observed that δ C from EW and LW has significant positive cross-correlations at most sites, whereas EW and LW δ O values were cross-correlated at about half the sites. Using combined statistical and mechanistic models, we show that cross-correlations in both δ C and δ O can be largely explained by a low-frequency (multiple-year) mode that may be associated with long-term climate change. We isolated, and statistically removed, the low-frequency correlation, which resulted in greater geographical differentiation of the EW and LW isotope signals. The remaining higher-frequency (seasonal) cross-correlations between EW and LW isotope ratios were explored using a mechanistic isotope fractionation-climate model. This showed that lower atmospheric vapor pressure deficits associated with monsoon rain increase the EW-LW differentiation for both δ C and δ O at southern sites, compared to northern sites. Our results support the hypothesis that dominantly unimodal precipitation regimes, such as near the northern boundary of the NAM, are more likely to foster cross-correlations in the isotope signals of EW and LW, potentially due to greater sharing of common carbohydrate and soil water resource pools, compared to southerly sites with bimodal precipitation regimes.

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Section: Geographical Patterns In the Isotope Variability In Ew And Lwsupporting

confidence: 91%

Section: Seasonal Relationships Obscured By Seasonal Lagsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Disentangling seasonal and interannual legacies from inferred patterns of forest water and carbon cycling using tree‐ring stable isotopes

Szejner

Wright

Belmecheri

et al. 2018

Global Change Biology

View full text Add to dashboard Cite

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“…This relationship is partially attributable to the AMO modulation of the North American Subtropical High (NASH). Specifically, the NASH has a larger influence on summertime precipitation in the Southeast US during negative phases of the AMO than during positive phases (Labotka et al , ). The stronger SPI–TMAX coupling during negative AMO periods in the Georgia region is likely attributed to the enhanced influence of the NASH on summer precipitation and corresponding changes in air temperature.…”

Section: Long‐term Variability Of Spi–tmax Couplingmentioning

confidence: 99%

“…Concurrently, changes in the location of the NASH western ridge and resultant summer precipitation anomalies in the Southeast US have been connected to the PDO such that a positive PDO phase relates to a northwest shift in the NASH western ridge and a negative PDO phase relates to a southeast shift in the western ridge. The former condition results in below normal precipitation, while the latter results in above normal precipitation in the region (Li et al , ; Labotka et al , ). Figure (a) shows the largest differences in both May–July SPI and June–August TMAX anomalies in the Georgia region are between negative and positive PDO conditions during a negative AMO phase.…”

Section: Long‐term Variability Of Spi–tmax Couplingmentioning

confidence: 99%

Multi‐decadal variability of soil moisture–temperature coupling over the contiguous United States modulated by Pacific and Atlantic sea surface temperatures

Ford

Quiring

Frauenfeld

2016

Intl Journal of Climatology

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Regions of strong land–atmosphere coupling are often depicted as static in time. However, the mechanisms through which the land surface impacts atmospheric conditions vary on sub‐daily to multi‐decadal timescales. Therefore, characterizing the long‐term variability of land–atmosphere interactions may provide a means of predicting when surface‐induced extreme temperature events will be more or less likely to occur. We evaluate the coupling strength between soil moisture, as represented by in situ observations and 1‐month Standardized Precipitation Index (SPI), and subsequent monthly maximum temperature (TMAX) over the contiguous United States. We find that the utility of SPI as a proxy for soil moisture anomalies is limited to the summer, as the correlations between SPI and TMAX are not significantly related in the other seasons. We examine the variability in summer SPI–TMAX coupling in four regions of the United States. In general, we find the strongest relationships between SPI and TMAX in the Southern Great Plains. However, our results demonstrate that the coupling strength varies considerably over time in most regions of the United States. The long‐term variability in SPI–TMAX coupling strength is strongly related to the Pacific Decadal Oscillation in the northwest and midwest United States, and the Atlantic Multidecadal Oscillation in the southeast United States The results of this study suggest that land–atmosphere coupling in the contiguous United States is modulated by multi‐decadal oscillations in Pacific and Atlantic sea surface temperatures.

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Isotope Dendrochronology: Historical Perspective

Leavitt

Roden

2022

Tree Physiology

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Although the fields of dendrochronology and light stable-isotope mass spectrometry emerged at different times in the first half of the 20th Century, their convergence with the earliest measurements of isotope composition of tree rings is now ca. 70 years old. Much of the early stable isotope analysis (including on wood) explored natural variation of isotopes in the environment, but those researchers making the measurements were already contemplating the role of the isotope composition of the source substrates (e.g., water and CO2), biochemical fractionation, and environment as contributors to final tree-ring isotope values. Growing interest in tree-ring isotopes was heavily motivated by paleoclimate or paleoatmosphere reconstruction, but this new field rapidly developed to generate greatly improved mechanistic understanding along with expanded applications to physiology, ecology, pollution, and more. This chapter primarily charts the historical progression in tree-ring C-H-O isotope studies over those seven decades, but it also identifies potential productive emerging and future directions.

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Patterns of moisture source and climate variability in the southeastern United States: a four-century seasonally resolved tree-ring oxygen-isotope record

Cited by 21 publications

References 64 publications

Disentangling seasonal and interannual legacies from inferred patterns of forest water and carbon cycling using tree‐ring stable isotopes

Disentangling seasonal and interannual legacies from inferred patterns of forest water and carbon cycling using tree‐ring stable isotopes

Multi‐decadal variability of soil moisture–temperature coupling over the contiguous United States modulated by Pacific and Atlantic sea surface temperatures

Isotope Dendrochronology: Historical Perspective

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