Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Gregory D. Steyer is active.

Publication


Featured researches published by Gregory D. Steyer.


Environmental Monitoring and Assessment | 2003

A PROPOSED COAST-WIDE REFERENCE MONITORING SYSTEM FOR EVALUATING WETLAND RESTORATION TRAJECTORIES IN LOUISIANA

Gregory D. Steyer; Charles E. Sasser; Jenneke M. Visser; Erick M. Swenson; John A. Nyman; Richard C. Raynie

Wetland restoration efforts conducted in Louisiana under the Coastal Wetlands Planning, Protection and Restoration Act require monitoring the effectiveness of individual projects as well as monitoring the cumulative effects of all projects in restoring, creating, enhancing, and protecting the coastal landscape. The effectiveness of the traditional paired-reference monitoring approach in Louisiana has been limited because of difficulty in finding comparable reference sites. A multiple reference approach is proposed that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling. This approach includes a suite of sites that encompass the range of ecological condition for each stratum, with projects placed on a continuum of conditions found for that stratum. Trajectories in reference sites through time are then compared with project trajectories through time. Plant community zonation complicated selection of indicators, strata, and sample size. The approach proposed could serve as a model for evaluating wetland ecosystems.


Journal of Coastal Research | 2013

Forecasting the Effects of Coastal Protection and Restoration Projects on Wetland Morphology in Coastal Louisiana under Multiple Environmental Uncertainty Scenarios

Brady R. Couvillion; Gregory D. Steyer; Hongqing Wang; Holly J. Beck; John M. Rybczyk

ABSTRACT Couvillion, B.R.; Steyer, G.D.; Wang, H.; Beck, H.J., and Rybczyk, J.M., 2013. Forecasting the effects of coastal protection and restoration projects on wetland morphology in coastal Louisiana under multiple environmental uncertainty scenarios. Few landscape scale models have assessed the effects of coastal protection and restoration projects on wetland morphology while taking into account important uncertainties in environmental factors such as sea-level rise (SLR) and subsidence. In support of Louisianas 2012 Coastal Master Plan, we developed a spatially explicit wetland morphology model and coupled it with other predictive models. The model is capable of predicting effects of protection and restoration projects on wetland area, landscape configuration, surface elevation, and soil organic carbon (SOC) storage under multiple environmental uncertainty scenarios. These uncertainty scenarios included variability in parameters such as eustatic SLR (ESLR), subsidence rate, and Mississippi River discharge. Models were run for a 2010–2060 simulation period. Model results suggest that under a “future-without-action” condition (FWOA), coastal Louisiana is at risk of losing between 2118 and 4677 km2 of land over the next 50 years, but with protection and restoration projects proposed in the Master Plan, between 40% and 75% of that loss could be mitigated. Moreover, model results indicate that under a FWOA condition, SOC storage (to a depth of 1 m) could decrease by between 108 and 250 million metric tons, a loss of 12% to 30% of the total coastwide SOC, but with the Master Plan implemented, between 35% and 74% of the SOC loss could be offset. Long-term maintenance of project effects was best attained in areas of low SLR and subsidence, with a sediment source to support marsh accretion. Our findings suggest that despite the efficacy of restoration projects in mitigating losses in certain areas, net loss of wetlands in coastal Louisiana is likely to continue. Model results suggest certain areas may eventually be lost regardless of proposed restoration investment, and, as such, other techniques and strategies of adaptation may have to be utilized in these areas.


Ecological Engineering | 2000

Coastal Wetlands Planning, Protection, and Restoration Act: A programmatic application of adaptive management

Gregory D. Steyer; Daniel W. Llewellyn

Abstract The Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA), commonly referred to as ‘The Breaux Act’, has provided some of the resources necessary to begin implementing a comprehensive, large-scale, long-term coastal wetland restoration program for Louisiana USA. Due to the dynamic nature of this ecosystem and the uncertainty associated with large-scale restoration, adaptive management principles were embedded throughout CWPPRA’s organizational structure, planning process, project implementation, and monitoring program to facilitate achieving the mandates associated with the Breaux Act. Feedback loops were established within and between each of the programmatic components to encourage continuous learning, which is central to adaptive management. The knowledge gained has led to institutionalized change in projects as well as the program. This paper describes how the formation of the CWPPRA Task Force and associated committees and groups resulted in an integrated coast-wide process for planning, selection, construction, operation, maintenance, monitoring, and scientific evaluation of 84 restoration projects implemented or scheduled for implementation throughout coastal Louisiana.


Journal of Coastal Research | 2013

Landscape-Level Estimation of Nitrogen Removal in Coastal Louisiana Wetlands: Potential Sinks under Different Restoration Scenarios

Victor H. Rivera-Monroy; Benjamin Branoff; Ehab A. Meselhe; Alex McCorquodale; Mark Dortch; Gregory D. Steyer; Jenneke M. Visser; Hongqing Wang

ABSTRACT Rivera-Monroy, V.H.; Branoff, B.; Meselhe, E.; McCorquodale, A.; Dortch, M.; Steyer, G.D.; Visser, J., and Wang, H., 2013. Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios. Coastal eutrophication in the northern Gulf of Mexico (GOM) is the primary anthropogenic contributor to the largest zone of hypoxic bottom waters in North America. Although biologically mediated processes such as denitrification (Dn) are known to act as sinks for inorganic nitrogen, it is unknown what contribution denitrification makes to landscape-scale nitrogen budgets along the coast. As the State of Louisiana plans the implementation of a 2012 Coastal Master Plan (MP) to help restore its wetlands and protect its coast, it is critical to understand what effect potential restoration projects may have in altering nutrient budgets. As part of the MP, a spatial statistical approach was developed to estimate nitrogen removal under varying scenarios of future conditions and coastal restoration project implementation. In every scenario of future conditions under which MP implementation was modeled, more nitrogen () was removed from coastal waters when compared with conditions under which no action is taken. Overall, the MP increased coast-wide average nitrogen removal capacity (NRC) rates by up to 0.55 g N m−2 y−1 compared with the “future without action” (FWOA) scenario, resulting in a conservative estimate of up to 25% removal of the annual + load of the Mississippi-Atchafalaya rivers (956,480 t y−1). These results are spatially correlated, with the lower Mississippi River and Chenier Plain exhibiting the greatest change in NRC. Since the implementation of the MP can maintain, and in some regions increase the NRC, our results show the need to preserve the functionality of wetland habitats and use this ecosystem service (i.e. Dn) to decrease eutrophication of the GOM.


Journal of Coastal Research | 2013

Monitoring Vegetation Response to Episodic Disturbance Events by using Multitemporal Vegetation Indices

Gregory D. Steyer; Brady R. Couvillion; John A. Barras

ABSTRACT Steyer, G.D.; Couvillion, B.R., and Barras, J.A., 2013. Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices In: Brock, J.C.; Barras, J.A., and Williams, S.J. (eds.), Understanding and Predicting Change in the Coastal Ecosystems of the Northern Gulf of Mexico, Journal of Coastal Research, Special Issue No. 63, pp. 118–130, Coconut Creek (Florida), ISSN 0749-0208. Normalized Difference Vegetation Index (NDVI) derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite imagery and land/water assessments from Landsat Thematic Mapper (TM) imagery were used to quantify the extent and severity of damage and subsequent recovery after Hurricanes Katrina and Rita of 2005 within the vegetation communities of Louisianas coastal wetlands. Field data on species composition and total live cover were collected from 232 unique plots during multiple time periods to corroborate changes in NDVI values over time. Aprehurricane 5-year baseline time series clearly identified NDVI values by habitat type, suggesting the sensitivity of NDVI to assess and monitor phenological changes in coastal wetland habitats. Monthly data from March 2005 to November 2006 were compared to the baseline average to create a departure from average statistic. Departures suggest that over 33% (4,714 km2) of the prestorm, coastal wetlands experienced a substantial decline in the density and vigor of vegetation by October 2005 (poststorm), mostly in the east and west regions, where landfalls of Hurricanes Katrina and Rita occurred. The percentage of area of persistent vegetation damage due to long-lasting formation of new open water was 91.8% in the east and 81.0% and 29.0% in the central and west regions, respectively. Although below average NDVI values were observed in most marsh communities through November 2006, recovery of vegetation was evident. Results indicated that impacts and recovery from large episodic disturbance events that influence multiple habitat types can be accurately determined using NDVI, especially when integrated with assessments of physical landscape changes and field verifications.


Journal of Coastal Research | 2017

Determining the spatial variability of wetland soil bulk density, organic matter, and the conversion factor between organic matter and organic carbon across coastal Louisiana, U.S.A.

Hongqing Wang; Sarai C. Piazza; Leigh Anne Sharp; Camille L. Stagg; Brady R. Couvillion; Gregory D. Steyer; Thomas E. McGinnis

ABSTRACT Wang, H.; Piazza, S.C.; Sharp, L.A.; Stagg, C.L.; Couvillion, B.R.; Steyer, G.D., and McGinnis, T.E., 2017. Determining the spatial variability of wetland soil bulk density, organic matter, and the conversion factor between organic matter and organic carbon across coastal Louisiana, U.S.A. Soil bulk density (BD), soil organic matter (SOM) content, and a conversion factor between SOM and soil organic carbon (SOC) are often used in estimating SOC sequestration and storage. Spatial variability in BD, SOM, and the SOM–SOC conversion factor affects the ability to accurately estimate SOC sequestration, storage, and the benefits (e.g., land building area and vertical accretion) associated with wetland restoration efforts, such as marsh creation and sediment diversions. There are, however, only a few studies that have examined large-scale spatial variability in BD, SOM, and SOM–SOC conversion factors in coastal wetlands. In this study, soil cores, distributed across the entire coastal Louisiana (approximately 14,667 km2) were used to examine the regional-scale spatial variability in BD, SOM, and the SOM–SOC conversion factor. Soil cores for BD and SOM analyses were collected during 2006–09 from 331 spatially well-distributed sites in the Coastwide Reference Monitoring System network. Soil cores for the SOM–SOC conversion factor analysis were collected from 15 sites across coastal Louisiana during 2006–07. Results of a split-plot analysis of variance with incomplete block design indicated that BD and SOM varied significantly at a landscape level, defined by both hydrologic basins and vegetation types. Vertically, BD and SOM varied significantly among different vegetation types. The SOM–SOC conversion factor also varied significantly at the landscape level. This study provides critical information for the assessment of the role of coastal wetlands in large regional carbon budgets and the estimation of carbon credits from coastal restoration.


Journal of Coastal Research | 2013

Development of a Reproducible Method for Determining Quantity of Water and its Configuration in a Marsh Landscape

Glenn M. Suir; D. Elaine Evers; Gregory D. Steyer; Charles E. Sasser

ABSTRACT Suir, G.M.; Evers, D.E.; Steyer, G.D., and Sasser C.E., 2013. Development of a reproducible method for determning quantity of water and its configuration in a marsh landscape. In: Brock, J.C.; Barras, J.A., and Williams, S.J. (eds.), Understanding and Predicting Change in the Coastal Ecosystems of the Northern Gulf of Mexico, Journal of Coastal Research, Special Issue No. 63, pp. 110–117, Coconut Creek (Florida), ISSN 0749-0208. Coastal Louisiana is a dynamic and ever-changing landscape. From 1956 to 2010, over 3,734 km2 of Louisianas coastal wetlands have been lost due to a combination of natural and human-induced activities. The resulting landscape constitutes a mosaic of conditions from highly deteriorated to relatively stable with intact landmasses. Understanding how and why coastal landscapes change over time is critical to restoration and rehabilitation efforts. Historically, changes in marsh pattern (i.e., size and spatial distribution of marsh landmasses and water bodies) have been distinguished using visual identification by individual researchers. Difficulties associated with this approach include subjective interpretation, uncertain reproducibility, and laborious techniques. In order to minimize these limitations, this study aims to expand existing tools and techniques via a computer-based method, which uses geospatial technologies for determining shifts in landscape patterns. Our method is based on a raster framework and uses landscape statistics to develop conditions and thresholds for a marsh classification scheme. The classification scheme incorporates land and water classified imagery and a two-part classification system: (1) ratio of water to land, and (2) configuration and connectivity of water within wetland landscapes to evaluate changes in marsh patterns. This analysis system can also be used to trace trajectories in landscape patterns through space and time. Overall, our method provides a more automated means of quantifying landscape patterns and may serve as a reliable landscape evaluation tool for future investigations of wetland ecosystem processes in the northern Gulf of Mexico.


Archive | 2017

Floristic quality index and forested floristic quality index: Assessment tools for restoration projects and monitoring sites in coastal Louisiana

Kari F. Cretini; William B. Wood; Jenneke M. Visser; Ken W. Krauss; Leigh Anne Sharp; Gregory D. Steyer; Gary P. Shaffer; Sarai C. Piazza

Abstract The Floristic Quality Index (FQI) has been used in many areas throughout the United State to assess the integrity of plant communities and restoration projects. Here, we summarize two tools that have been developed for monitoring sites in coastal Louisiana wetlands. The FQI was modified for herbaceous data collected in coastal Louisiana monitoring sites. A second FQI, the Forested Floristic Quality Index (FFQI), was modified and developed to evaluate forested wetland sites that are monitored in coastal Louisiana. These tools, along with other wetland indices developed for coastal Louisiana, will aid managers in coastal restoration and making informed management decisions.


Ecological Engineering | 2005

Implications of global climatic change and energy cost and availability for the restoration of the Mississippi delta

John W. Day; John A. Barras; Ellis J. Clairain; James Johnston; Dubravko Justic; G. Paul Kemp; Jae-Young Ko; Robert R. Lane; William J. Mitsch; Gregory D. Steyer; Paul H. Templet; Alejandro Yáñez-Arancibia


Scientific Investigations Map | 2011

Land area change in coastal Louisiana from 1932 to 2010

Brady R. Couvillion; John A. Barras; Gregory D. Steyer; William Sleavin; Michelle Fischer; Holly J. Beck; Nadine Trahan; Brad Griffin; David Heckman

Collaboration


Dive into the Gregory D. Steyer's collaboration.

Top Co-Authors

Avatar

Sarai C. Piazza

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Brady R. Couvillion

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Jenneke M. Visser

Louisiana State University

View shared research outputs
Top Co-Authors

Avatar

Charles E. Sasser

Louisiana State University

View shared research outputs
Top Co-Authors

Avatar

Gregg A. Snedden

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Hongqing Wang

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Kari F. Cretini

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Holly J. Beck

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

John A. Barras

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Ken W. Krauss

United States Geological Survey

View shared research outputs
Researchain Logo
Decentralizing Knowledge