Project lead Karina Heim gives a short introduction to "Greener Shores: Bringing Plant-scale Knowledge to Shoreline Habitat Practitioners in the Lake Superior (Gichigami) Basin."
See Keywords and Reserves
Keywords: cultural ecosystem services, sustainable shoreline, land use planning, indigenous knowledge
Each National Estuarine Research Reserve develops a site profile synthesizing knowledge about its physical, historical, social and biological characteristics to guide research activities. This digital site profile helps users orient to the Lake Superior Reserve and understand its context.
GUIDE CASE STUDY: To help elevate the cultural significance of plants and preserve their knowledge, Indigenous knowledge holders agreed to advise a project team as they developed a planting guide for the Gichi-gami basin. As discussions began, the team quickly discovered differing expectations about what and how Indigenous knowledge would inform the final guide.
See Keywords and Reserves
Keywords: land use planning, cultural ecosystem services, shoreline stabilization, Indigenous science
This project overview describes a 2018 Catalyst project where researchers from Duke University and the North Carolina and Rookery Bay reserves partnered to develop ecosystem services models for coastal habitats.
This case study discusses an example of an Ecosystem Services Conceptual Model for mangrove habitat restoration at Rookery Bay National Estuarine Research Reserve in Florida.
This online ecosystem services toolkit is designed to help coastal resource managers incorporate ecosystem services into decision-making processes and habitat restoration projects.
These generalized Ecosystem Services Conceptual Models and metrics for mangrove and oyster reef habitat restoration are designed to help coastal managers incorporate ecosystem services into their coastal decision-making processes.
This workshop facilitation guide is designed to help coastal resource managers and practitioners incorporate ecosystem services into their coastal decision-making processes.