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'.
Education and Certifications
Ph.D., Michigan State University
M.S., Clemson University
B.S., Biology, Presbyterian College
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
Mangrove damage along northern Gulf of Mexico from extreme freeze event on February 2021
Potential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States
Estuarine drainage area boundaries for the conterminous United States
Brazoria NWR Prairie Resilience Data
Linear and nonlinear effects of temperature and precipitation on ecosystem properties in tidal saline wetlands
Vegetation, soil, and landscape data
Nonlinear patterns of surface elevation change in coastal wetlands: The value of generalized additive models for quantifying rates of change
Integrating remote sensing with ground-based observations to quantify the effects of an extreme freeze event on black mangroves (Avicennia germinans) at the landscape scale
Integrated analysis shows how the effects of extreme flooding events propagate through fish communities to impact amphibians
From bottom-up to top-down control of invertebrate herbivores in a retrogressive chronosequence
Piñon and juniper tree removal increases available soil water, driving understory response in a sage-steppe ecosystem
Direct and indirect influences of macrophyte cover on abundance and growth of juvenile Atlantic salmon
Migration and transformation of coastal wetlands in response to rising seas
Surface elevation change dynamics in coastal marshes along the northwestern Gulf of Mexico: Anticipating effects of rising sea-level and intensifying hurricanes
General guidance for custom-built structural equation models
A protocol for modelling generalised biological responses using latent variables in structural equation models
Instrumental variable methods in structural equation models
Biodiversity effects on grape quality depend on variety and management intensity
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
Mangrove damage along northern Gulf of Mexico from extreme freeze event on February 2021
Climate change is altering the frequency and intensity of extreme weather events. Quantifying ecosystem responses to extreme events at the landscape scale is critical for understanding and responding to climate-driven change but is constrained by limited data availability. Here, we integrated remote sensing with ground-based observations to quantify landscape-scale vegetation damage from an extremPotential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States
We quantified the potential area available for landward migration of tidal saline wetlands and freshwater wetlands due to sea-level rise (SLR) at the estuary scale for 166 estuarine drainage areas and at the state scale for 22 coastal states and District of Columbia. We used 2016 Coastal Change Analysis Program (C-CAP) data in combination with the future wetland migration data under the 1.5 m globEstuarine drainage area boundaries for the conterminous United States
To quantify the potential for landward migration at the estuary level, we developed a geospatial dataset for the conterminous United States (CONUS) that identifies the boundaries for estuarine drainage areas. Nine estuarine drainage areas in south Florida were delineated using data developed by the South Florida Water Management District (SFWMD 2018). For the rest of CONUS, we used information conBrazoria NWR Prairie Resilience Data
In 1996, 400 tree-centered plots were established by first randomly choosing x- and y- coordinates from an imaginary grid overlaying the study area. Each random point was also randomly assigned a tree-size category from a pre-determined sampling scheme. The scheme was to include 20 trees from each of 5 size categories. Size/height categories were: less than 0.1m, 0.1-1m, 1-2m, 2-3m, and greater thLinear and nonlinear effects of temperature and precipitation on ecosystem properties in tidal saline wetlands
Macroclimatic drivers, such as temperature and rainfall regimes, greatly influence ecosystem structure and function in tidal saline wetlands. Understanding the ecological influence of macroclimatic drivers is important because it provides a foundation for anticipating the effects of climate change. Tidal saline wetlands include mangrove forests, salt marshes, and salt flats, which occupy similar gVegetation, soil, and landscape data
The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish an - Multimedia
- Publications
Filter Total Items: 178
Nonlinear patterns of surface elevation change in coastal wetlands: The value of generalized additive models for quantifying rates of change
In the face of accelerating climate change and rising sea levels, quantifying surface elevation change dynamics in coastal wetlands can help to develop a more complete understanding of the implications of sea-level rise on coastal wetland stability. The surface elevation table-marker horizon (SET-MH) approach has been widely used to quantify and characterize surface elevation change dynamics in coAuthorsLaura Feher, Michael Osland, Darren Johnson, James Grace, Glenn R. Guntenspergen, David R. Stewart, Carlos A. Coronado-Molina, Fred H. SklarIntegrating remote sensing with ground-based observations to quantify the effects of an extreme freeze event on black mangroves (Avicennia germinans) at the landscape scale
Climate change is altering the frequency and intensity of extreme weather events. Quantifying ecosystem responses to extreme events at the landscape scale is critical for understanding and responding to climate-driven change but is constrained by limited data availability. Here, we integrated remote sensing with ground-based observations to quantify landscape-scale vegetation damage from an extremAuthorsMelinda Martinez, Michael Osland, James B. Grace, Nicholas Enwright, Camille Stagg, Simen Kaalstad, Gordon Anderson, Anna R. Armitage, Just Cebrian, Karen L. Cummins, Richard Day, Donna J. Devlin, Kenneth H. Dunton, Laura Feher, Alejandro Fierro-Cabo, Elena A. Flores, Andrew From, A. Randall Hughes, David A. Kaplan, Amy K. Langston, Christopher J. Miller, Charles E. Proffitt, Nathan G.F. Reaver, Colt R. Sanspree, Caitlin M. Snyder, Andrew P. Stetter, Kathleen M. Swanson, Jamie E. Thompson, Carlos Zamora-TovarIntegrated analysis shows how the effects of extreme flooding events propagate through fish communities to impact amphibians
Research Highlight: Davis, C. L., Walls, S. C., Barichivich, W. J., Brown, M. E., & Miller, D. A. (2022). Disentangling direct and indirect effects of extreme events on coastal wetland communities. Journal of Animal Ecology, https://doi.org/10.1111/1365-2656.13874. Catastrophic events such as floods, hurricanes, winter storms, droughts and wildfires increasingly touch our lives either directly orAuthorsJames GraceFrom bottom-up to top-down control of invertebrate herbivores in a retrogressive chronosequence
In the long-term absence of disturbance, ecosystems often enter a decline or retrogressive phase which leads to reductions in primary productivity, plant biomass, nutrient cycling and foliar quality. However, the consequences of ecosystem retrogression for higher trophic levels such as herbivores and predators, are less clear. Using a post-fire forested island-chronosequence across which retrogresAuthorsAnne Kempel, Eric Allan, Martin M. Gossner, Malte Jochum, James Grace, David A. WardlePiñon and juniper tree removal increases available soil water, driving understory response in a sage-steppe ecosystem
Over the past century, piñon and juniper trees have encroached into sagebrush steppe lands of the interior United States, and managers have for many years removed trees to stimulate the favored understory. While consistent understory response to tree removal in these semiarid lands suggests that trees outcompete other plants for water, no studies have linked increased soil water to understory respAuthorsJames D. McIver, James Grace, Bruce A. RoundyDirect and indirect influences of macrophyte cover on abundance and growth of juvenile Atlantic salmon
1. The relationships between macrophytes and the physical and biological characteristics of the environments that aquatic organisms inhabit are complex. Previous studies have shown that the macrophytes, Ranunculus (subgenus Batrachium), which are dominant in lowland chalk streams and widespread across Europe, can enhance juvenile Atlantic salmon abundance and growth to a greater degree than otherAuthorsJessica E Marsh, J. Iwan Jones, Rasmus B. Lauridsen, James Grace, Pavel KratinaMigration and transformation of coastal wetlands in response to rising seas
Coastal wetlands are not only among the world’s most valued ecosystems but also among the most threatened by high greenhouse gas emissions that lead to accelerated sea level rise. There is intense debate regarding the extent to which landward migration of wetlands might compensate for seaward wetland losses. By integrating data from 166 estuaries across the conterminous United States, we show thatAuthorsMichael Osland, Bogdan Chivoiu, Nicholas Enwright, Karen M. Thorne, Glenn R. Guntenspergen, James Grace, Leah Dale, William Brooks, Nathaniel Herold, John W. Day, Fred H. Sklar, Christopher M. SwarzenskiSurface elevation change dynamics in coastal marshes along the northwestern Gulf of Mexico: Anticipating effects of rising sea-level and intensifying hurricanes
Accelerated sea-level rise and intensifying hurricanes highlight the need to better understand surface elevation change in coastal wetlands. We used the surface elevation table-marker horizon approach to measure surface elevation change in 14 coastal marshes along the northwestern Gulf of Mexico, within five National Wildlife Refuges in Texas (USA). During the 2014–2019 study period, the mean rateAuthorsJena A. Moon, Laura Feher, Tiffany C. Lane, William Vervaeke, Michael Osland, Douglas M. Head, Bogdan Chivoiu, David R. Stewart, Darren Johnson, James Grace, Kristine L. Metzger, Nicole M. RankinGeneral guidance for custom-built structural equation models
Structural Equation Modeling (SEM) represents a quantitative methodology for specifying and evaluating causal network hypotheses. The application of SEM typically involves the use of specialized software packages that implement estimation procedures and automate model checking and the output of summary results. There are times when the specification details an investigator wishes to implement to rAuthorsJames B. GraceA protocol for modelling generalised biological responses using latent variables in structural equation models
In this paper we consider the problem of how to quantitatively characterize the degree to which a study object exhibits a generalized response. By generalized response, we mean a multivariate response where numerous individual properties change in concerted fashion due to some internal integration. In latent variable structural equation modeling (LVSEM), we would typically approach this situationAuthorsJames B. Grace, Magdalena SteinerInstrumental variable methods in structural equation models
Instrumental variable regression (RegIV) provides a means for detecting and correcting parameter bias in causal models. Widely used in economics, recently several papers have highlighted its potential utility for ecological applications. Little attention has thus far been paid to the fact that IV methods can also be implemented within structural equation models (SEMIV). In this paper I present theAuthorsJames GraceBiodiversity effects on grape quality depend on variety and management intensity
Interactions between plants can be beneficial, detrimental or neutral. In agricultural systems, competition between crop and spontaneous vegetation is a major concern. We evaluated the relative support for three non-exclusive ecological hypotheses about interactions between crop and spontaneous plants based on competition, complementarity or facilitation.The study was conducted in Swiss vineyardsAuthorsMagdalena Steiner, James Grace, Sven Bacher - News