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  • Economic Valuation and Natural Resource Damage Assessment Methods at Myakka River State Park, Florida

    Abstract: The growing population and distribution of invasive wild pigs across vulnerable ecological communities has emerged as a significant issue, and there is not a standardized ecological-economic framework to precisely measure and value the impact of wild pigs to natural resources. The FY24 research presented here is year four of a 4-year research plan to develop a user-friendly ecological-economic framework for rapid assessment and valuation of wild pig damage to wetlands. Building off the findings from research conducted at Somerville Lake, Texas, and Richard K. Yancey Wildlife Management Area, Louisiana, this FY24 research took place at Myakka River State Park, Florida. Research objectives for FY24 included adapting the ecological-economic framework to a different landscape type, refining and broadening the artificial intelligence–based economic valuation approach by valuing a variety of natural communities, and improving the setup of the before-after-control-impact study design estimating damage reduction after a targeted control effort. Across the study area, we estimated that the benefits provided by the natural communities lost to wild pigs over a 1-year period were $273,525 (80% confidence interval: $72.684 and $920.883), and an aerial gunning control effort produced an estimated 685% return on investment in avoided losses 4 weeks postmanagement.
  • Freshwater Wetland Carbon Flux Analysis Pertinent to the Net Emissions Analysis Tool Improvement: Method Development and Testing

    Palustrine wetlands are ecosystems of interest due to their capacity to sequester large amounts of greenhouse gases. This field study in Washington and Idaho was conducted as proof of concept of methods for measuring carbon emissions in palustrine wetlands. The regions of Washington and Idaho were chosen as they span three different Environmental Protection Agency (EPA) Level 1 ecoregions in a relatively close geological area. Data were collected across all three ecoregions in an effort to detail the potential differences between palustrine wetlands within them. Carbon dioxide flux measurements were compared across two instruments: LICOR 8,100A and CIRAS-4. Supporting data related to vegetation and site characteristics were incorporated into the overall analyses. Results suggest that carbon dioxide flux varies in relation to several factors. Additional research will be required to inform the application of site-specific data which can improve the application of tools designed to quantify project scale estimates for net greenhouse gas emissions.
  • Assessing Relative Wetland Flood Risk Management Benefits Using COPE: An Exploration of Capacity, Opportunity, Payoff, and Efficacy

    Abstract: Wetlands reduce flood risk, but measuring their performance and benefits is challenging due to the highly variable nature of the factors, including landscape features, land use, and climate, that shape flood response. An evidence-based index was developed to rapidly assess the potential flood risk management benefits of wetland restoration. These benefits are measured by combining the Capacity (C), Opportunity (O), Payoff (P), and Efficacy (E) indicators into a single index, called COPE. Capacity captures the internal wetland characteristics that alter flood peak attenuation potential. Opportunity reflects watershed characteristics that control the effectiveness of internal wetland capacities. Payoff quantifies the population exposed to high flood risk, and Efficacy reflects the ability of communities to respond to flooding. Literature evidence for the C and O indicators suggests that flood risk is reduced by increasing wetland storage in small basins with hillslopes or in moderate to large riverine basins. Literature evidence for the E index suggests that multiple indicators can capture the potential for disproportionate harm to vulnerable communities. A case study demonstrated that the P indicator strongly influences the relative-benefits score produced by COPE, but the C, O, and E indexes can alter the score substantially when values deviate from average conditions.
  • Evaluation of Vegetated Shoreline Capacity Using CSHORE-VEG

    Abstract: A versatile vegetation module has been implemented into the Cross-Shore model (CSHORE) to evaluate the capacity of coastal and marine wetlands with respect to wave-height attenuation and wave-runup reduction. This extended model, Cross-Shore-Vegetation (CSHORE-VEG), is capable of simulating the effects of rigid and flexible vegetation with spatially varying biomechanical properties. To accurately estimate the vegetation-induced energy dissipation rate, a drag coefficient formula that is independent of the vegetation flexibility was developed based on field data collected in salt marshes in Terrebonne Bay, Louisiana, during a tropical storm. This universal drag coefficient formula along with other existing drag coefficient formulas have been implemented into CSHORE-VEG to meet different needs. CSHORE-VEG has been validated against four independent datasets involving different vegetation properties for wave attenuation and mean water level change. After achieving good agreement in model-data comparisons, CSHORE-VEG was employed to quantify the capacity of two representative salt marshes composed of Spartina alterniflora and Elymus athericus for wave attenuation. As a result, two ineffective vegetated shoreline scenarios were identified. Furthermore, a procedure for determining the percentage of broken vegetation stems and modeling the corresponding wave-height reduction was applied to evaluate the wave-height reduction under realistic field conditions.
  • The Trajectory of Iron Sulfide Oxidation and Production in Marshes Created from Dredged Sediments at Poplar Island: Implications for Wetland Plant Establishment

    Abstract: The following report provides a summary of the effects of iron sulfide dynamics (e.g., oxidation and formation) on the establishment of plant communities in wetlands created from fine-grained dredged sediments at Poplar Island in Maryland’s mid-Chesapeake Bay. The challenges associated with handling sulfide-rich sediments are discussed using examples from dredged channels and subsequent placement in a created wetland setting in the upper Chesapeake Bay. Information is synthesized from multiple previous peer-reviewed publications as well as unpublished studies, all conducted by the Horn Point Laboratory (University of Maryland, Center for Environmental Science), on the trajectory of sulfur constituents in Poplar Island created wetlands. The implications for vegetation trajectories are discussed and the knowledge base of sulfide mineral biogeochemistry in managed coastal wetland systems is expanded.
  • Considerations and Lessons Learned for Remote Sensing Data Acquisition of Understudied Wetland Vegetation Metrics

    Purpose: Traditional field-based methods for monitoring wetland ecosystems are often limited by accessibility and cost, hindering comprehensive assessment of these vital habitats. These wetlands often present challenges for mapping and monitoring due to their size, location, and diverse vegetation types. Therefore, thorough planning and execution are essential for collecting reliable data for analysis and generating meaningful results. To overcome these challenges, we investigated how remote sensing data captured from uncrewed aerial systems (UAS), such as multispectral imagery and lidar, can be effectively used to develop and validate metrics for measuring wetland vegetation characteristics as an alternative to traditional field-based methods.
  • Standard Operating Procedures for the Design, Construction, and Maintenance of Linear Infrastructure in Fens in Cold Regions

    Abstract: In Alaska and across the Arctic and Subarctic, winter conditions can enable the expansion of linear infrastructure across the frozen landscape of fen wetlands. This expands military training opportunities into lowland wet, boggy, mostly impassable terrain. However, there are personnel, civilian, and environmental risks from using fens as travel corridors and drop zones. The effective design, construction, operation, and maintenance of such infrastructure on fens supports the dual mandate of troop training to fulfill the mission and protect the environment. This Technical Report (TR) addresses the risks of the establishment and use of linear infrastructure on the DoD lands in Alaska and in other austere cold environments where the DoD operates. This TR is founded on a review of methods used by US Army Installations, focusing primarily on Fort Wainwright in Interior Alaska. It establishes basic standard operating procedures (SOPs) by drawing on federal agency and international best practices and emerging research in circumpolar regions and beyond. This TR serves as a reference document for military land and infrastructure planners and unit leadership to create and maintain linear infrastructure on fens as environmental challenges evolve and opportunities develop to further the Army mission in high latitude environments.
  • Quantifying Wild Pig Damage Reduction Using Before-After-Control-Impact Design at USACE Richard K. Yancey, Louisiana

    Abstract: The FY23 research presented in this report is year three of a 3-year research plan to develop a user-friendly ecological-economic framework for rapid assessment of wild pig damage to wetlands. Building off research and findings from the FY21 and FY22 efforts conducted at Somerville Lake, Texas, the FY23 research focused on adapting the sampling frame-work to a forested wetland using a more advanced method for the extrapolation of damage to the whole study area, refining the economic valuation approach with machine-learning techniques, and improving the setup of the before-after-control-impact (BACI) study design estimating damage reduction after a targeted control effort. We estimate that the benefits provided by wetlands lost to wild pigs over a 1-year period in the Richard K. Yancey Wildlife Management Area study area was $234,486 (80% confidence interval, $63,155 to $691,220), and the aerial gunning control effort in the treatment plot provided a 243% return on investment in terms of damages avoided to wetlands.
  • Monitoring of Understudied Wetlands: State of Knowledge

    Abstract: Some wetlands can present unique challenges for mapping and monitoring due to their size, location, foliage architecture, and spectral characteristics. For instance, assessing ecological condition and restoration success using traditional remote-sensing systems in forested and ephemeral wetlands is onerous. Therefore, the purpose of this technical note is to evaluate the state of knowledge and technology related to the use of remote sensing in assessing vegetation dynamics in understudied and hard to monitor wetlands. Ultimately, this exercise will identify data gaps and recommend improvements for analyzing and modeling wetland systems and trends, quantifying disturbance impacts, and assist efficiencies of data collection to improve management decisions, which in turn will help in reaching restoration goals.
  • Antecedent Precipitation Tool (APT) Version 3.0 : Technical and User Guide

    Abstract: This document provides an overview of the technical components of the Antecedent Precipitation Tool (APT) and a user’s guide for the APT. The APT is an automation tool that the US Army Corps of Engineers (USACE) developed to facilitate the comparison of antecedent or recent precipitation conditions for a given location to the range of normal precipitation conditions that occurred during the preceding 30 yr.* In addition to providing a standardized methodology to evaluate normal precipitation conditions (precipitation normalcy), the APT queries additional datasets to compute drought condition indices and the approximate dates of the wet and dry seasons for a given location. The latest update to the APT builds upon the precipitation normalcy methodology by generating streamflow normalcy for the United States Geological Survey (USGS) gage and National Oceanic and Atmospheric Administration (NOAA) National Water Model (NWM) simulation results. The update also expands the APT’s analysis domain to include Alaska, Hawaii, Puerto Rico, and the US Virgin Islands.