A5007200683- Aquatic Ecosystems and Phytoplankton Dynamics
- Marine and coastal ecosystems
- Fish Ecology and Management Studies
- Hydrological Forecasting Using AI
- Hydrology and Watershed Management Studies
- Atmospheric and Environmental Gas Dynamics
- Aquatic Invertebrate Ecology and Behavior
- Species Distribution and Climate Change
- Oceanographic and Atmospheric Processes
- Research Data Management Practices
- Data Analysis with R
- Scientific Computing and Data Management
- Soil and Water Nutrient Dynamics
- Air Quality Monitoring and Forecasting
- Statistics Education and Methodologies
- Water Quality and Pollution Assessment
- Meteorological Phenomena and Simulations
- Marine Biology and Ecology Research
- Hydrocarbon exploration and reservoir analysis
- Freshwater macroinvertebrate diversity and ecology
- Flood Risk Assessment and Management
- Methane Hydrates and Related Phenomena
- Microbial Community Ecology and Physiology
- Wastewater Treatment and Nitrogen Removal
- Groundwater and Isotope Geochemistry
Virginia Tech
2017-2025
National Postdoctoral Association
2024
Near-term, iterative ecological forecasts with quantified uncertainty have great potential for improving lake and reservoir management. For example, if managers received a forecast indicating high likelihood of impending impairment, they could make decisions today to prevent or mitigate poor water quality in the future. Increasing number automated, real-time freshwater used management requires integrating interdisciplinary expertise develop framework that seamlessly links data, models,...
Oxygen availability is decreasing in many lakes and reservoirs worldwide, raising the urgency for understanding how anoxia (low oxygen) affects coupled biogeochemical cycling, which has major implications water quality, food webs, ecosystem functioning. Although increasing magnitude prevalence of been documented freshwaters globally, challenges disentangling oxygen temperature responses have hindered assessment effects on carbon, nitrogen, phosphorus concentrations, stoichiometry (chemical...
Abstract Near‐term iterative forecasting is a powerful tool for ecological decision support and has the potential to transform our understanding of predictability. However, this point, there been no cross‐ecosystem analysis near‐term forecasts, making it difficult synthesize diverse research efforts prioritize future developments emerging field. In study, we analyzed 178 (≤10‐yr forecast horizon) papers understand development current state literature compare accuracy across scales variables....
Abstract As climate and land use increase the variability of many ecosystems, forecasts ecological variables are needed to inform management ecosystem services. In particular, phytoplankton would be especially useful for drinking water management, as populations exhibiting greater fluctuations due human activities. While increasing in number, questions remain regarding optimal model time step (the temporal frequency forecast output), horizon length into future a prediction is made)...
Key Points CH 4 ebullition rates decreased by 98% and diffusion 32% on a longitudinal gradient from reservoir inflow to dam Ebullition was driven physical variables upstream phytoplankton downstream; most related Despite large variation in emissions longitudinally, time series models well captured the dynamics of small
Abstract Ecosystems around the globe are experiencing changes in both magnitude and fluctuations of environmental conditions due to land use climate change. In response, ecologists increasingly using near‐term, iterative ecological forecasts predict how ecosystems will change future. To date, many forecasting systems have been developed high temporal frequency (minute hourly resolution) data streams for assimilation. However, this approach may be cost‐prohibitive or impossible variables that...
Abstract Lakes and reservoirs worldwide are increasingly experiencing depletion of dissolved oxygen (anoxia) in their bottom waters (the hypolimnion) because climate change eutrophication, which is altering the dynamics many freshwater ecological communities. Hypolimnetic anoxia may substantially alter daily migration distribution zooplankton, dominant grazers phytoplankton aquatic food webs. In waterbodies with oxic hypolimnia, zooplankton exhibit diel vertical ( DVM ), they migrate to dark...
Abstract. Water quality in lakes is an emergent property of complex biotic and abiotic processes that differ across spatial temporal scales. also a determinant ecosystem services provide, thus great interest to ecologists. Increasingly, machine learning other computer science techniques are being used predict water dynamics as well gain greater understanding patterns controls. To benefit both the sciences ecology science, we have created benchmark dataset lake time series vertical profiles....
Abstract Near‐term, iterative ecological forecasts can be used to help understand and proactively manage ecosystems. To date, more have been developed for aquatic ecosystems than other worldwide, likely motivated by the pressing need conserve these essential threatened increasing availability of high‐frequency data. Forecasters implemented many different modeling approaches forecast freshwater variables, which demonstrated promise at individual sites. However, a comprehensive analysis...
Abstract Lakes and reservoirs globally produce large quantities of methane carbon dioxide in their sediments, which accumulate the hypolimnia (bottom waters) during thermally stratified conditions. A key parameter controlling hypolimnetic greenhouse gas concentrations is dissolved oxygen. Land use climate change have increased anoxia worldwide lakes reservoirs, expected to affect concentrations. We conducted whole‐ecosystem oxygenation experiments assess effects oxygen on comparison a...
Abstract In the era of big data, ecologists are increasingly relying on computational approaches and tools to answer existing questions pose new research questions. These include both software applications (e.g., simulation models, databases machine learning algorithms) hardware systems wireless sensor networks, supercomputing, drones satellites), motivating need for greater collaboration between computer scientists ecologists. Here, we outline some synergistic opportunities in disciplines...
Abstract Water level drawdowns are increasingly common in lakes and reservoirs worldwide as a result of both climate change water management. Drawdowns can have direct effects on physical properties waterbody (e.g., by altering stratification light dynamics), which interact to modify the waterbody's biology chemistry. However, ecosystem‐level drawdown remain poorly characterized small, thermally stratified reservoirs, many regions world. Here, we intensively monitored small eutrophic...
Near-term, iterative ecological forecasts can be used to help understand and proactively manage ecosystems.To date, more have been developed for aquatic ecosystems than other worldwide, likely motivated by the pressing need conserve these essential threatened ecosystems.Forecasters implemented many different modelling approaches forecast freshwater variables, which demonstrated promise at individual sites.However, a comprehensive analysis of performance varying models across multiple sites...
Abstract The relative importance of top‐down vs. bottom‐up control phytoplankton biomass in aquatic ecosystems has been long debated and studied. However, few studies have considered the on vertical distributions characteristics deep chlorophyll maxima (DCMs), fewer still investigated these drivers for multiple groups. We examined depth profiles four spectral groups a suite (zooplankton) (nutrients, temperature, light) from 51 north temperate lakes varying gradients size, trophic state,...
Near-term ecological forecasts provide resource managers advance notice of changes in ecosystem services, such as fisheries stocks, timber yields, or water quality. Importantly, can identify where there is uncertainty the forecasting system, which necessary to improve forecast skill and guide interpretation results. Uncertainty partitioning identifies relative contributions total variance introduced by different sources, including specification model structure, errors driver data, estimation...
Abstract Studies that examine the effects of artificial mixing for water‐quality mitigation in lakes and reservoirs often view a water column with one‐dimensional (1‐D) perspective (e.g., homogenized epilimnetic hypolimnetic layers). Artificial natural bodies, however, is inherently three dimensional (3‐D). Using 3‐D approach experimentally numerically, present study visualizes thermal structure analyzes constituent transport under influence shallow drinking‐water reservoir. The purpose to...
Cyanobacterial blooms are increasing in waterbodies worldwide because of anthropogenic forcing. Most occur at the water's surface, but some cyanobacterial taxa, such as Planktothrix, able to modify their buoyancy access more favorable growing conditions deeper waters. Here, we used situ fluorometry examine vertical distribution and biomass Planktothrix a seasonally anoxic reservoir for 3 consecutive summers. We also collected depth profiles photosynthetically active radiation, temperature,...