Scott Leibowitz

Dr. Scott Leibowitz

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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 September 2022 in Water Resources Research
Verified
Journal Article
Open access
MPM. J. Paul
M. J. Paul
SLS. D. LeDuc
S. D. LeDuc
MLM. G. Lassiter
M. G. Lassiter
LML. C. Moorhead
L. C. Moorhead
PNP. D. Noyes
P. D. Noyes
SLScott Leibowitz
Scott Leibowitz
Wildfires have increased in frequency in many ecosystems, with implications for human health and the environment, including water quality. Increased fire frequency and urbanization also raise the prospect of fires burning into urban areas, mobilizing pollutants few have considered to date. As a result, water quality managers lack information to anticipate, respond to and potentially mitigate wildfire impacts. Here, we reviewed the scientific literature to assess wildfire effects on response endpoints of a conceptual model linking fire to water quality, quantifying response directionality, magnitude and duration. Physically, water yield, sediments, and temperature all increased post‐fire. Chemically, nutrients, ions, organic chemicals, and metals increased in burned watersheds, sometimes by orders of magnitude over pre‐fire or reference conditions. In select cases, post‐fire concentrations exceeded aquatic life criteria or drinking water standards, at times even in the finished drinking water. Biological assemblages commonly declined after post‐fire runoff events. The duration of effects was less than 5 yr for most endpoints (e.g., metals) on average following fire, although effects did extend 15 yr or more in some individual cases. We found only a few studies on pollutants mobilized from wildfire impacted urban areas with benzene contamination in drinking water and high metal concentrations in ash prominent exceptions. Overall, this review provides a resource for understanding wildfire impacts on water quality endpoints, with the goal of informing the response of managers and other decision makers to this growing problem.

2 October 2017 in Nature Geoscience
Verified
Journal Article
Closed access
PDF file
ICIrena Creed
Irena Creed
CLCharles Lane
Charles Lane
JSJacqueline N. Serran
Jacqueline N. Serran
LALaurie C. Alexander
Laurie C. Alexander
NBNandita B. Basu
Nandita B. Basu
LSLora Smith
Lora Smith

1 March 2018 in Jawra Journal of the American Water Resources Association
Verified
Journal Article
Closed access
PDF file
SLScott Leibowitz
Scott Leibowitz
PWParker J. Wigington
Parker J. Wigington
KSKate A. Schofield
Kate A. Schofield
LALaurie C. Alexander
Laurie C. Alexander
Melanie VanderhoofMelanie Vanderhoof
Melanie Vanderhoof
HGHeather Golden
Heather Golden

1 September 2003 in Wetlands
Verified
Journal Article
Closed access
PDF file
SLScott Leibowitz
Scott Leibowitz

1 March 2003 in Wetlands
Verified
Journal Article
Closed access
PDF file
SLScott Leibowitz
Scott Leibowitz
KVKevin C. Vining
Kevin C. Vining

6 April 2023 in Nature Water
Verified
Journal Article
Open access
PDF file
SLScott Leibowitz
Scott Leibowitz
RHRyan Hill
Ryan Hill
ICIrena Creed
Irena Creed
JCJana E. Compton
Jana E. Compton
HGHeather Golden
Heather Golden
CLCharles Lane
Charles Lane
Wetland hydrologic connections to downstream waters influence stream water quality. However, no systematic approach for characterizing this connectivity exists. Here using physical principles, we categorized conterminous US freshwater wetlands into four hydrologic connectivity classes based on stream contact and flowpath depth to the nearest stream: riparian, non-riparian shallow, non-riparian mid-depth and non-riparian deep. These classes were heterogeneously distributed over the conterminous United States; for example, riparian dominated the south-eastern and Gulf coasts, while non-riparian deep dominated the Upper Midwest and High Plains. Analysis of a national stream dataset indicated acidification and organic matter brownification increased with connectivity. Eutrophication and sedimentation decreased with wetland area but did not respond to connectivity. This classification advances our mechanistic understanding of wetland influences on water quality nationally and could be applied globally.