Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/44461
Title: Considering Natural and Nature-Based Features : A Risk-Based Framework for Resilient Shoreline Decisions
Authors: United States. Army. Corps of Engineers. Buffalo District
Keywords: Shore protection
Sediment transport
Sedimentation and deposition
Great Lakes (North America)
Publisher: United States. Army. Corps of Engineers. Buffalo District.
Abstract: Communities and resource managers along the Great Lakes are showing an increased interest in implementing innovative approaches to shoreline management. They are seeking solutions that maintain shoreline processes, enhance habitat, sustain water resources, and ultimately improve coastal resiliency. These approaches typically involve strategies to minimize stone and permanent hardening of a shoreline, while using native plants, wood, and other bioengineering materials for improved shoreline stability. Many of the concepts that are being considered for implementation on the Great Lakes are adapted from living shoreline concepts developed for the mid-Atlantic and Gulf Coast regions. The purpose of this Risk-Based Framework for Resilient Shoreline Decisions (‘Framework’ going forward) is to compare, contrast, and explore the goals and approaches for shoreline management along a green to gray continuum, ranging from the traditional “gray” approach to shoreline stabilization (i.e., reduce erosion and protect structures with hardened shorelines), to the “green” goals of non-traditional approaches (i.e., reduce erosion and provide risk reduction while improving, maintaining, or restoring natural shoreline processes and ecosystem functions). This Framework emphasizes understanding the environmental setting, thoughtful examination of project objectives, and overall risk tolerance when proposing shoreline resiliency solutions. All shoreline management approaches on the green to gray continuum should be tailored to increase the resiliency of the coastal system (human and ecological systems).
Description: Technical Report
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/44461
Appears in Collections:Technical Report