Brian Brown

ORCID: 0000-0002-0861-8564
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Climate change and permafrost
  • Hydrology and Sediment Transport Processes
  • Fish Ecology and Management Studies
  • Cryospheric studies and observations
  • Hydrological Forecasting Using AI
  • Atmospheric and Environmental Gas Dynamics
  • Sustainability and Ecological Systems Analysis
  • Hydrology and Drought Analysis
  • Methane Hydrates and Related Phenomena
  • Neural Networks and Applications
  • Marine and coastal ecosystems
  • Soil and Water Nutrient Dynamics
  • Ecosystem dynamics and resilience
  • Coal Combustion and Slurry Processing
  • Water resources management and optimization
  • Geological formations and processes
  • Iron and Steelmaking Processes
  • Animal Ecology and Behavior Studies
  • Thermochemical Biomass Conversion Processes
  • Arctic and Antarctic ice dynamics
  • Groundwater and Isotope Geochemistry
  • Aquatic Ecosystems and Phytoplankton Dynamics

Brigham Young University
1985-2025

University of Arizona
2023

NOAA National Marine Fisheries Service Northwest Fisheries Science Center
2022

Abstract The continental shelves of the Arctic Ocean and surrounding seas contain large stocks organic matter (OM) methane (CH 4 ), representing a potential ecosystem feedback to climate change not included in international agreements. We performed structured expert assessment with 25 permafrost researchers combine quantitative estimates sensitivity carbon subsea domain (i.e. unglaciated portions exposed during last glacial period). Experts estimated that contains ∼560 gigatons (GtC;...

10.1088/1748-9326/abcc29 article EN cc-by Environmental Research Letters 2020-12-01

Abstract. Repeated sampling of spatially distributed river chemistry can be used to assess the location, scale, and persistence carbon nutrient contributions watershed exports. Here, we provide a comprehensive set water measurements ecohydrological metrics describing biogeochemical conditions permafrost-affected Arctic watersheds. These data were collected in watershed-wide synoptic campaigns six stream networks across northern Alaska. Three watersheds are associated with Long-Term...

10.5194/essd-14-95-2022 article EN cc-by Earth system science data 2022-01-14

Though freshwater harmful algal blooms have been described and studied for decades, several important dynamics remain uncertain, including the relationships among nutrient concentrations, phytoplankton growth, cyanotoxin production. To identify when where nutrients limit phytoplankton, cyanobacteria, cyanotoxins, we conducted in situ bioassay studies. We added nitrogen (N), phosphorus (P), or N + P across various seasons water collected from three locations Utah Lake, one of largest lakes...

10.1016/j.hal.2025.102809 article EN cc-by Harmful Algae 2025-02-07

ABSTRACT This paper explores the use of Echo State Networks (ESNs), a subset reservoir computing, in modeling and predicting streamflow variability with focus on biogeochemical patterns. Multiple ESNs were tested alongside comparable long short-term memory model (LSTM), another deep learning commonly used time-series modeling, hope finding more robust chemistry predictor. Testing revealed that for our specific water temperature dissolved oxygen (DO) levels, outperform LSTMs both fit time...

10.2166/hydro.2025.213 article EN cc-by-nc Journal of Hydroinformatics 2025-03-10

Human agriculture, wastewater, and use of fossil fuels have saturated ecosystems with nitrogen phosphorus, threatening biodiversity human water security at a global scale. Despite efforts to reduce nutrient pollution, carbon concentrations increased or remained high in many regions. Here, we applied new ecohydrological framework ~12,000 samples collected by the U.S. Environmental Protection Agency from streams lakes across contiguous identify spatial temporal patterns leverage (an indicator...

10.1371/journal.pone.0258952 article EN public-domain PLoS ONE 2021-11-29

Abstract River flows change on timescales ranging from minutes to millennia. These vibrations in flow are tuned by diverse factors globally, for example, dams suppressing multi‐day variability or vegetation attenuating flood peaks some ecosystems. The relative importance of the physical, biological, and human influencing is an active area research, as related question finding a common language describing overall regime. Here, we addressed both topics using daily river discharge data set over...

10.1029/2023wr034484 article EN Water Resources Research 2023-07-01

The concepts of resistance, recovery, and resilience are in diverse fields from behavioral psychology to planetary ecology. These “three Rs” describe some the most important properties allowing complex systems survive dynamic environments. However, many fields—including ecology—our ability predict recovery remains limited. Here, we propose new disturbance terminology a unifying definition resilience. We distinguish functional disturbances that affect short-term ecosystem processes structural...

10.22541/essoar.167390526.69780816/v1 preprint EN Authorea (Authorea) 2023-01-16

10.1080/00049186908702539 article CA Australian Geographer 1969-03-01

Abstract. Repeated sampling of spatially distributed river chemistry can be used to assess the location, scale, and stability carbon nutrient contributions watershed-scale exports. Here, we provide a comprehensive set water measurements secondary ecosystem metrics describing biogeochemical conditions permafrost-affected Arctic watershed networks. These data were collected in watershed-wide repeated synoptic campaigns across six rivers northern Alaska. Three watersheds are associated with...

10.5194/essd-2021-155 article EN cc-by 2021-06-14

River flow changes on timescales ranging from minutes to millennia. These variations influence fundamental functions of ecosystems, including biogeochemical fluxes, aquatic habitat, and human society. Efforts describe temporal variation in river flow—i.e. regime—have resulted hundreds unique descriptors, complicating interpretation identification global drivers overall regime. In this study, we used three analytical approaches investigate related questions: 1. how interrelated are regime...

10.1002/essoar.10507854.1 preprint EN cc-by 2021-08-28

River flows change on timescales ranging from minutes to millennia. These variations influence fundamental functions of ecosystems, including biogeochemical fluxes, aquatic habitat, and human society. Efforts describe temporal variation in river flow—i.e., flow regime—have resulted hundreds unique descriptors, complicating interpretation identification global drivers dynamics. Here, we used a cross-disciplinary analytical approach investigate two related questions: 1. Is there...

10.22541/essoar.167058969.95977050/v1 preprint EN Authorea (Authorea) 2022-12-09
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