Ryan McManamay
Ryan McManamay
Baylor University
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Characterizing sub‐daily flow regimes: Implications of hydrologic resolution on ecohydrology studies
MS Bevelhimer, RA McManamay, B O'connor
River research and applications 31 (7), 867-879, 2015
Water scarcity and fish imperilment driven by beef production
BD Richter, D Bartak, P Caldwell, KF Davis, P Debaere, AY Hoekstra, T Li, ...
Nature Sustainability 3 (4), 319-328, 2020
Hydrologic filtering of fish life history strategies across the United States: implications for stream flow alteration
RA McManamay, EA Frimpong
Ecological Applications 25 (1), 243-263, 2015
Filling in the GAPS: evaluating completeness and coverage of open‐access biodiversity databases in the United States
MJ Troia, RA McManamay
Ecology and evolution 6 (14), 4654-4669, 2016
New stream-reach development: a comprehensive assessment of hydropower energy potential in the United States
SC Kao, RA McManamay, KM Stewart, NM Samu, B Hadjerioua, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2014
Application of the ELOHA framework to regulated rivers in the Upper Tennessee River Basin: a case study
RA McManamay, DJ Orth, CA Dolloff, DC Mathews
Environmental management 51, 1210-1235, 2013
Revisiting the homogenization of dammed rivers in the southeastern US
RA McManamay, DJ Orth, CA Dolloff
Journal of Hydrology 424, 217-237, 2012
Classification of US hydropower dams by their modes of operation
RA McManamay, CO Oigbokie, SC Kao, MS Bevelhimer
River Research and Applications 32 (7), 1450-1468, 2016
Does diet influence consumer nutrient cycling? Macroinvertebrate and fish excretion in streams
RA McManamay, JR Webster, HM Valett, CA Dolloff
Journal of the North American Benthological Society 30 (1), 84-102, 2011
Gravel addition as a habitat restoration technique for tailwaters
RA McManamay, DJ Orth, CA Dolloff, MA Cantrell
North American Journal of Fisheries Management 30 (5), 1238-1257, 2010
Updating the US hydrologic classification: an approach to clustering and stratifying ecohydrologic data
RA McManamay, MS Bevelhimer, SC Kao
Ecohydrology 7 (3), 903-926, 2014
A stream classification system for the conterminous United States
RA McManamay, CR DeRolph
Scientific Data 6 (1), 1-18, 2019
Quantifying and generalizing hydrologic responses to dam regulation using a statistical modeling approach
RA McManamay
Journal of Hydrology 519, 1278-1296, 2014
Comparison of potential drinking water source contamination across one hundred US cities
SWD Turner, JS Rice, KD Nelson, CR Vernon, R McManamay, K Dickson, ...
Nature communications 12 (1), 7254, 2021
Machine learning for energy-water nexus: challenges and opportunities
SMA Zaidi, V Chandola, MR Allen, J Sanyal, RN Stewart, BL Bhaduri, ...
Big Earth Data 2 (3), 228-267, 2018
A regional classification of unregulated stream flows: spatial resolution and hierarchical frameworks
RA McManamay, DJ Orth, CA Dolloff, EA Frimpong
River Research and Applications 28 (7), 1019-1033, 2012
City energysheds and renewable energy in the United States
CR DeRolph, RA McManamay, AM Morton, SS Nair
Nature Sustainability 2 (5), 412-420, 2019
A multi-scale spatial approach to address environmental effects of small hydropower development
RA McManamay, N Samu, SC Kao, MS Bevelhimer, SC Hetrick
Environmental management 55, 217-243, 2015
Towards catchment classification in data‐scarce regions
DA Auerbach, BP Buchanan, AV Alexiades, EP Anderson, AC Encalada, ...
Ecohydrology 9 (7), 1235-1247, 2016
Nesting habitat use by river chubs in a hydrologically variable A ppalachian tailwater
BK Peoples, RA McManamay, DJ Orth, EA Frimpong
Ecology of freshwater fish 23 (2), 283-293, 2014
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