James Grace is a Senior Research Scientist at the USGS Wetland and Aquatic Research Center.
BACKGROUND
2015 - present Senior Research Scientist. U.S. Geological Survey, ST
2002 - 2014 Senior Research Ecologist, U.S. Geological Survey, GS-15
1993 - 2019 Adjunct Professor, Department of Biology, University of Louisiana
2002 – 2005 Affiliate Faculty, School of Renewable Natural Resources, LSU
1992 - 2002 Research Ecologist, U.S. Geological Survey, Biological Division
1990 - 1993 Professor, Department of Botany, Louisiana State University
1985 - 1990 Associate Professor, Department of Botany, Louisiana State Univ.
1989 Visiting Professor, Louisiana Universities Marine Consortium
1986 Visiting Scientist, Div. Wildlife, CSIRO, Darwin, Australia
1980‑1985 Assistant Professor, Dept. Botany and Microbiology, Univ. Arkansas summer
After graduate school, he held faculty positions at the University of Arkansas and Louisiana State University, where he reached the level of Full Professor. In 2000, he received the millennium Meritorious Research Award from the Society of Wetland Scientists and in 2003 received the National Science Excellence Award from the U.S. Geological Survey. He was selected to be a Fellow of the Ecological Society of America and promoted to the Senior Scientist ranks in 2014. Since 2019 he has been designated as a ‘Highly-Cited Researcher’ by the Web of Science in recognition of his scientific impact during the past decade. In 2021 he received the Presidential Rank Award, which is given out by the President of the United States and is the highest performance award given to career senior scientists and administrators. He has published over 200 papers and reports, including 3 books, one on competitive interactions, one on community analysis, and one on structural equation modeling. As of 2020, Grace has given over 200 invited lectures and workshops in 9 countries during his career.
For more information, search 'Jim Grace USGS'.
Science and Products
The Response of Coastal Wetlands to Sea-level Rise: Understanding how Macroscale Drivers Influence Local Processes and Feedbacks
The response of coastal wetlands to sea-level rise: Understanding how macroscale drivers influence local processes and feedbacks
Development of a Multimetric Index for Integrated Assessment of Salt Marsh Condition in the Northeast Coastal and Barrier Network
Quantitative Analysis Using Structural Equation Modeling
Improving Our Ability to Forecast Tidal Marsh Response to Sea Level Rise
Structural Equation Modeling in Support of Conservation
Mechanisms of Coastal Marsh Elevation Regulation
Science and Products
- Science
The Response of Coastal Wetlands to Sea-level Rise: Understanding how Macroscale Drivers Influence Local Processes and Feedbacks
The purpose of this work is to advance our understanding of how coastal wetland responses to sea-level rise (SLR) within the conterminous United States are likely to vary as a function of local, regional, and macroscale drivers, including climate. Based on our interactions with managers and decision makers, as well as our knowledge of the current state of the science, we propose to: (a) conduct a...The response of coastal wetlands to sea-level rise: Understanding how macroscale drivers influence local processes and feedbacks
The purpose of this work is to advance our understanding of how coastal wetland responses to SLR within the conterminous United States are likely to vary as a function of local, regional, and macroscale drivers, including climate. Based on our interactions with managers and decision makers, as well as our knowledge of the current state of the science, we propose to (a) conduct a national synoptic...Development of a Multimetric Index for Integrated Assessment of Salt Marsh Condition in the Northeast Coastal and Barrier Network
Salt marsh ecosystems along all US coastlines have been altered, degraded, and destroyed by human activities, including ditching and drainage of the marsh platform, tidal restrictions, discharge of pollutants, and introduction of invasive species. The National Park Service conducts long-term monitoring of salt marsh vegetation and nekton (fish and free-swimming crustaceans) to provide information...Quantitative Analysis Using Structural Equation Modeling
USGS scientists have been involved for a number of years in the development and use of Structural Equation Modeling (SEM). This methodology represents an approach to statistical modeling that focuses on the study of complex cause-effect hypotheses about the mechanisms operating in systems. SEM is increasingly used in ecological and environmental studies and this site seeks to provide educational...Improving Our Ability to Forecast Tidal Marsh Response to Sea Level Rise
Our overall objective is to understand what controls the vulnerability of coastal marshes to risks associated with global change drivers and rising sea levels. Fundamental questions pertaining to coastal wetland vulnerability still need to be addressed. What factors explain spatial and geographic variation in tidal wetland vulnerability? How do short term climatic events (storms) influence the...Structural Equation Modeling in Support of Conservation
Understanding systems sometimes requires approaches that allow for both the discovery of the a system's structure and the estimation of its implications. Structural Equation Modeling - SEM - is one tool scientists use to better understand the complex world in which we live.Mechanisms of Coastal Marsh Elevation Regulation
Sediment deposition serves an important role in the long-term maintenance of coastal marshes. USGS investigates the mechanisms of coastal marsh elevation regulation to help predict marsh sediment requirements under various sea level rise scenarios. - Data
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