Andrew J. Guswa

Andrew J. Guswa

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Andrew J. Guswa

Smith College

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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21 September 2020 in Nature Geoscience
Verified
Journal Article
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DLDelphis F. Levia
Delphis F. Levia
ICIrena Creed
Irena Creed
DHDavid M. Hannah
David M. Hannah
KNKazuki Nanko
Kazuki Nanko
EBElizabeth W. Boyer
Elizabeth W. Boyer
MBMicheal Bruen
Micheal Bruen

20 February 2008 in Water Resources Research
Verified
Journal Article
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AGA. J. Guswa
A. J. Guswa

8 May 2014 in Water Resources Research
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Journal Article
Open access
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AGAndrew J. Guswa
Andrew J. Guswa
KBKate A. Brauman
Kate A. Brauman
CBCasey Brown
Casey Brown
PHPerrine Hamel
Perrine Hamel
BKBonnie L. Keeler
Bonnie L. Keeler
SSSusan Stratton Sayre
Susan Stratton Sayre
Ecosystem characteristics and processes provide significant value to human health and well-being, and there is growing interest in quantifying those values. Of particular interest are water-related ecosystem services and the incorporation of their value into local and regional decision making. This presents multiple challenges and opportunities to the hydrologic-modeling community. To motivate advances in water-resources research, we first present three common decision contexts that draw upon an ecosystem-service framework: scenario analysis, payments for watershed services, and spatial planning. Within these contexts, we highlight the particular challenges to hydrologic modeling, and then present a set of opportunities that arise from ecosystem-service decisions. The paper concludes with a set of recommendations regarding how we can prioritize our work to support decisions based on ecosystem-service valuation.

8 April 2020 in Ecohydrology
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Journal Article
Open access
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AGAndrew J. Guswa
Andrew J. Guswa
DTDoerthe Tetzlaff
Doerthe Tetzlaff
JSJohn Selker
John Selker
DCDarryl E. Carlyle‐Moses
Darryl E. Carlyle‐Moses
EBElizabeth W. Boyer
Elizabeth W. Boyer
DLDelphis F. Levia
Delphis F. Levia
Nature‐based solutions for water‐resource challenges require advances in the science of ecohydrology. Current understanding is limited by a shortage of observations and theories that can further our capability to synthesize complex processes across scales ranging from submillimetres to tens of kilometres. Recent developments in environmental sensing, data, and modelling have the potential to drive rapid improvements in ecohydrological understanding. After briefly reviewing advances in sensor technologies, this paper highlights how improved measurements and modelling can be applied to enhance understanding of the following ecohydrological examples: interception and canopy processes, root uptake and critical zone processes, and up‐scaled effects of land use on streamflow. Novel and improved sensors will enable new questions and experiments, while machine learning and empirical methods provide additional opportunities to advance science. The synergy resulting from the convergence of these parallel developments will provide new insight into ecohydrological processes and thereby help identify nature‐based solutions to address water‐resource challenges in the 21st century.

1 September 2020 in Journal of Environmental Management
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Journal Article
Closed access
PHPerrine Hamel
Perrine Hamel
JVJefferson Valencia
Jefferson Valencia
RSRafael Schmitt
Rafael Schmitt
MSManish Shrestha
Manish Shrestha
TPThanapon Piman
Thanapon Piman
AGAndrew J. Guswa
Andrew J. Guswa

1 August 2012 in Vadose Zone Journal
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Journal Article
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AGAndrew J. Guswa
Andrew J. Guswa
The leaves and stems of forest canopies intercept and redistribute precipitation in space. Many investigations have demonstrated that spatial patterns of throughfall and stemflow are persistent in ti...