Jeni Keisman, Ph.D.
Jeni Keisman is the Hydrologic Impacts Branch Chief for the WMA Earth Systems Processes Division.
The Hydrologic Impacts Branch (HIB) is an interdisciplinary group of hydrologists, ecologists, biogeochemists, and physical scientists. HIB scientists use field and laboratory work as well as data-driven and process modeling approaches to quantify and infer causal connections between stressors, water availability, and effects on natural and human communities.
Professional Experience
Prior experiences include explaining factors affecting trends in water quality and habitat conditions, analysis of water consumption for producing transportation fuels, research on nitrogen and phosphorus cycling in forests, and synthesis of scientific insights to inform future research directions and environmental management decisions.
Education and Certifications
Ph.D.: Ecology & Evolutionary Biology, Princeton University
M.S.: Sustainable Development & Conservation Biology, University of Maryland
B.A.: History from St. Mary’s College of Maryland
Science and Products
Nutrient limitation of phytoplankton in Chesapeake Bay: Development of an empirical approach for water-quality management
Ecological forecasting—21st century science for 21st century management
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the information in forecasts to minimize the adverse ef
Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA
A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay Case Study
Spatial and Temporal Patterns of Best Management Practice Implementation in the Chesapeake Bay Watershed, 1985–2014
Agricultural conservation practice implementation in the Chesapeake Bay watershed supported by the U.S. Department of Agriculture
Chesapeake Bay dissolved oxygen criterion attainment deficit: Three decades of temporal and spatial patterns
Manure and fertilizer inputs to land in the Chesapeake Bay watershed, 1950–2012
Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data
Long-term nutrient reductions lead to the unprecedented recovery of a temperate coastal region
Modeling drivers of phosphorus loads in Chesapeake Bay tributaries and inferences about long-term change
Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world
Science and Products
Nutrient limitation of phytoplankton in Chesapeake Bay: Development of an empirical approach for water-quality management
Ecological forecasting—21st century science for 21st century management
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the information in forecasts to minimize the adverse ef