Reconstructions of Soil Moisture for the Upper Colorado River Basin Using Tree‐Ring Chronologies<sup>1</sup>

Anderson, SallyRose; Tootle, Glenn A.; Grissino‐Mayer, Henri D.

doi:10.1111/j.1752-1688.2012.00651.x

Cited by 7 publications

(7 citation statements)

References 29 publications

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“…The model is statistically valid having a VIF below 5. The model is statistically similar to the successful reconstruction of soil moisture by Anderson et al (2012a) in the UCRB.…”

Section: Soil Moisture Reconstructionsupporting

confidence: 56%

“…Stepwise linear regression (SLR) is a common approach for the reconstruction of hydrologic variables using TRCs (Woodhouse 2003 Anderson et al 2012a). SLR uses a forward selection and backward elimination approach for regression analysis.…”

Section: Regressionsmentioning

confidence: 99%

“…The varying moisture sensitivity of different tree species is a significant controlling factor behind the variability of the reconstructed hydrologic variables (Anderson et al 2012a). Previous research efforts attributed the difficulty of reconstructing hydrologic variables in the adjacent Green River Basin (Timilsena and Piechota 2008) and Wind River Basin (Watson et al 2009) to the lack of moisture sensitive TRCs in the region.…”

Section: Retained Tree-ring Chronologiesmentioning

confidence: 99%

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Reconstructions of Hydrologic Variables in the North Platte River Basin

Anderson

Bowen

Tootle

et al. 2020

Int. J. Eng. Tech. Mgmt. Res.

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Reconstructions of hydrologic variables are commonly created using tree-ring chronologies (TRCs) to generate information about historic climate and potential future variability. This study used TRCs to reconstruct annual streamflow, April 1st Snow Water Equivalent (SWE), and soil moisture in the North Platte River Basin (NPRB). Stepwise linear regression was performed to determine which of the 55 moisture sensitive TRCs were the best predictors of hydrologic variation. The regressions explained 63% of the variability in streamflow, 55% of the variability in SWE, and 66% of the variability in soil moisture. This study then maximized the overlapping period of records which resulted in a decrease in the percent of variability explained but indicated that the regression models were stable for long reconstruction periods. This study successfully reconstructed all three hydrologic variables for NPRB to 1438 or earlier. Temporal wet and dry periods for streamflow and SWE were closely aligned while soil moisture did not follow similar temporal patterns. This was likely due to a natural “lag” between soil moisture and streamflow / SWE given soil moisture tends to retain antecedent signals. The availability of reconstructed hydrologic data in NPRB allows for a better understanding of the long-term hydrologic variability in the region.

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“…The model is statistically valid having a VIF below 5. The model is statistically similar to the successful reconstruction of soil moisture by Anderson et al (2012a) in the UCRB.…”

Section: Soil Moisture Reconstructionsupporting

confidence: 56%

Section: Regressionsmentioning

confidence: 99%

Section: Retained Tree-ring Chronologiesmentioning

confidence: 99%

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Reconstructions of Hydrologic Variables in the North Platte River Basin

Anderson

Bowen

Tootle

et al. 2020

Int. J. Eng. Tech. Mgmt. Res.

Self Cite

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“…Despite the importance of the soil moisture in various scientific fields, very few attempts for soil moisture reconstruction have been done [e.g., Anderson et al ., ]. On the other hand, PDSI, which is the most commonly used drought index for agriculture, has been reconstructed with statistical approach in many studies using tree ring variables [ Cook et al ., ; Davi et al ., ; Fang et al ., ].…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of soil moisture for the past 100 years in eastern Siberia by using δ¹³C of larch tree rings

et al. 2013

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A stable carbon isotope ratio (δ13C) chronology for the past 100 years was developed from larch tree rings in eastern Siberia (near Yakutsk, 62°14′N, 129°37′E), to reconstruct past soil moisture water equivalent (SWE). Based on the correlation analyses between SWE and tree ring δ13C, we developed a linear regression model for SWE in the late growing period (LGP: 15 July to 31 August) using annual tree ring δ13C, which was calculated from the combination of latewood in a current year and earlywood in the following year, and then reconstructed SWE (LGP) for 1908–2007. Reconstructed SWE was compared with factors such as the output of the land surface model, annual precipitation, and Palmer Drought Severity Index for July. From the results, the reconstructed SWE appears reasonable and shows a large variation, including repeated occurrences of severe drought and an unprecedented high soil moisture event in 2006–2007 during the past 100 years. The reconstruction also captured a past documented record of severe drought in the 1940s. Despite the generally good performance of the reconstruction, by the 1930s the estimated SWE was higher than that expected from the annual precipitation. Tree ring width and δ13C were negatively correlated in most periods. However, the negative correlation was weaker for the period from 1919 to 1925, when relatively low air temperature was observed. This result suggests that the rate of photosynthesis, together with the degree of stomata opening, also affected the tree ring δ13C during cool periods.

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“…Tree rings have been widely used to reconstruct hydroclimatic variables in the western United States, including precipitation (e.g., Gray et al, ; Meko et al, ; Touchan et al, ), temperature (e.g., Biondi et al, ; Briffa et al, ; Graumlich, ), streamflow (e.g., Biondi & Meko, ; Graham & Hughes, ; Graumlich et al, ; Woodhouse et al, ), snowfall and snow water equivalent (e.g., Anderson, Moser, et al, ; Belmecheri et al, ; Pederson et al, ; Timilsena & Piechota, ; Tunnicliff, ; Woodhouse, ), soil water content (e.g., Anderson, Tootle, et al, ; Yin et al, ), and drought indices (e.g., Cook et al, , ; Meko & Woodhouse, ; Stockton & Meko, ). These aforementioned hydroclimatic reconstructions were developed at the watershed or regional scales using monthly or temporally coarser observation data sets.…”

Section: Introductionmentioning

confidence: 99%

Snowpack‐ and Soil Water Content‐Related Hydrologic Indices and Their Association With Radial Growth of Conifers in the Sierra Nevada, California

et al. 2020

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The utility of a high-resolution snow-hydrologic model to derive climatological indices that describe the variability in radial growth of four conifer species in two Sierra Nevada sites is presented herein. Nine annual indices associated with radial growth were developed to represent the winter dormancy, characteristics of the snowpack and soil water content, and the duration of the seasons. Site chronologies of earlywood (EW) and latewood (LW) ring widths were developed for mountain hemlock (Tsuga mertensiana), red fir (Abies magnifica), white fir (Abies concolor), and ponderosa pine (Pinus ponderosa) at two sites on leeward and windward slopes. The signal strength for annual climatological indices derived from model output was tested with correlation and regression, in combination with principal components analysis. Results show significant snow-related climate signal in the tree-ring data, with substantial differences between species and between EW and LW. Dependence on previous year's snow and soil moisture (a lagged response) were found for EW of hemlock and red fir. The primary EW-LW signal contrast for those species is a shift toward dependence on current-year moisture conditions for LW, especially for red fir. Lagged climate response was less evident for white fir and ponderosa pine. Regression of tree-ring series on principal components of climatological indices showed a stronger average signal in EW (R 2 = 0.48) than in LW (R 2 = 0.35). Differences in tree-ring hydrologic signal at the two sites are attributed to microclimate and contrasts in snow regime. Results attest to the hydrologic model usefulness for investigating temporal relationships between tree rings and local climate.

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Reconstructions of Soil Moisture for the Upper Colorado River Basin Using Tree‐Ring Chronologies¹

Cited by 7 publications

References 29 publications

Reconstructions of Hydrologic Variables in the North Platte River Basin

Reconstructions of Hydrologic Variables in the North Platte River Basin

Reconstruction of soil moisture for the past 100 years in eastern Siberia by using δ¹³C of larch tree rings

Snowpack‐ and Soil Water Content‐Related Hydrologic Indices and Their Association With Radial Growth of Conifers in the Sierra Nevada, California

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Reconstructions of Soil Moisture for the Upper Colorado River Basin Using Tree‐Ring Chronologies1

Cited by 7 publications

References 29 publications

Reconstructions of Hydrologic Variables in the North Platte River Basin

Reconstructions of Hydrologic Variables in the North Platte River Basin

Reconstruction of soil moisture for the past 100 years in eastern Siberia by using δ13C of larch tree rings

Snowpack‐ and Soil Water Content‐Related Hydrologic Indices and Their Association With Radial Growth of Conifers in the Sierra Nevada, California

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Product

Resources

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Reconstructions of Soil Moisture for the Upper Colorado River Basin Using Tree‐Ring Chronologies¹

Reconstruction of soil moisture for the past 100 years in eastern Siberia by using δ¹³C of larch tree rings