2016
DOI: 10.1016/j.scitotenv.2016.06.106
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Water quality following extensive beetle-induced tree mortality: Interplay of aromatic carbon loading, disinfection byproducts, and hydrologic drivers

Abstract: The recent bark beetle epidemic across western North America may impact water quality as a result of elevated organic carbon release and hydrologic shifts associated with extensive tree dieback. Analysis of quarterly municipal monitoring data from 2004 to 2014 with discretization of six water treatment facilities in the Rocky Mountains by extent of beetle impact revealed a significant increasing trend in total organic carbon (TOC) and total trihalomethane (TTHM) production within high (≳50% areal infestation) … Show more

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Cited by 15 publications
(25 citation statements)
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“…Similarly, a qualitative comparison of the gray-phase areas affected by the MPB with predicted DOC concentrations in the region of interest does not reveal any strong pattern (see Appendix C- Figures A10 and A11). A stronger correlation between MPB-infested areas and DOM has been observed during months with significant precipitation and individual runoff events [25,27,38,90], but we note that these studies did not control for the additional potential predictors considered in our study. Moreover, there may exist an important lag between the time at which the needles fall and the time by which their decomposition alters DOC concentrations, largely due to their recalcitrant chemical composition, especially in high-altitude and low-temperature climates [91,92].…”
Section: Discussion Of Dynamic Significant Predictorsmentioning
confidence: 70%
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“…Similarly, a qualitative comparison of the gray-phase areas affected by the MPB with predicted DOC concentrations in the region of interest does not reveal any strong pattern (see Appendix C- Figures A10 and A11). A stronger correlation between MPB-infested areas and DOM has been observed during months with significant precipitation and individual runoff events [25,27,38,90], but we note that these studies did not control for the additional potential predictors considered in our study. Moreover, there may exist an important lag between the time at which the needles fall and the time by which their decomposition alters DOC concentrations, largely due to their recalcitrant chemical composition, especially in high-altitude and low-temperature climates [91,92].…”
Section: Discussion Of Dynamic Significant Predictorsmentioning
confidence: 70%
“…From the three different stages followed by a forest after an MPB outbreak, only the gray phase is a significant predictor in the LASSO regression. When beetle-killed trees transition to the gray phase, they lose their needles, increasing the input of degradable organic matter to the soil surface [38]. Consequently, the observed positive relationship is expected, but it is quite weak.…”
Section: Discussion Of Dynamic Significant Predictorsmentioning
confidence: 95%
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“…Despite the impact these perturbed forests have on human health and well-being, we still do not fully understand why some beetle-killed forests elicit a strong hydrologic or biogeochemical response ( 2 , 5 8 ) while others do not ( 9 , 10 ). Tree mortality on this scale has the capacity to shift a forest from a carbon sink to a source ( 1 ) or adversely alter the quality of water we consume ( 2 , 11 ). Hence, we need to better understand the ecosystem response from the watershed scale down to the microscale to enable predictions of when and where detrimental impacts will occur.…”
Section: Introductionmentioning
confidence: 99%