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Stephen C. Cook
Stephen C. Cook
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Title
Cited by
Cited by
Year
Freshwater eutrophication drives sharp reductions in temporal beta diversity
SC Cook, L Housley, JA Back, RS King
Ecology 99 (1), 47-56, 2018
1342018
Mapping dynamic non-perennial stream networks using high-resolution distributed hydrologic simulation: A case study in the upper blue river basin
S Gao, M Chen, Z Li, S Cook, D Allen, T Neeson, T Yang, T Yami, Y Hong
Journal of Hydrology 600, 126522, 2021
162021
Leaf litter identity alters the timing of lotic nutrient dynamics
CJ Robbins, WJ Matthaeus, SC Cook, LM Housley, SE Robison, ...
Freshwater Biology 64 (12), 2247-2259, 2019
162019
Low‐level dissolved organic carbon subsidies drive a trophic upsurge in a boreal stream
CJ Robbins, AD Yeager, SC Cook, RD Doyle, JR Maurer, CM Walker, ...
Freshwater Biology 65 (5), 920-934, 2020
82020
Combined benthic and stream edge sampling better represent macroinvertebrate assemblages than benthic sampling alone along an aridity gradient
BA Gill, DC Allen, MC Mims, TM Neeson, A Ruhi, CL Atkinson, ...
Limnology and Oceanography: Methods 22 (4), 208-216, 2024
22024
Compensatory dynamics of lotic algae break down nonlinearly with increasing nutrient enrichment
SC Cook, JA Back, RS King
Ecology 103 (4), e3613, 2022
22022
Team science: A syllabus for success on big projects
DM Peterson, SM Flynn, RS Lanfear, C Smith, LJ Swenson, AM Belskis, ...
Ecology and Evolution 13 (8), e10343, 2023
12023
STICr: An open-source package and workflow for processing and analyzing data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers
C Wheeler, S Zipper, SC Cook, DM Peterson, SE Godsey
EarthArXiv, 2023
12023
Nutrient Enrichment Modulates the Structure and Temporal Assembly of Riverine Benthic Algal and Macroinvertebrate Assemblages
SC Cook
Baylor University, 2019
12019
Macroinvertebrate, algal and diatom assemblages respond differently to both drying and wetting transitions in non‐perennial streams
MH Busch, KS Boersma, SC Cook, CN Jones, C Loflen, RD Mazor, ...
Freshwater Biology, 2024
2024
Fostering big data integration using team science: The Aquatic Intermittency effects of Microbiomes in Streams (AIMS) Project
AJ Burgin, K Aho, D Allen, C Atkinson, J Benstead, S Godsey, RL Hale, ...
WaterSciCon24, 2024
2024
Building the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) network to enable understanding of how intermittent flow impacts water quality and stream microbiomes
AJ Burgin, DC Allen, C Brown, SC Cook, S Flynn, B Nave, EC Seybold, ...
AGU Fall Meeting Abstracts 2022, H55L-0728, 2022
2022
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