Rosen Lake Foreshore Inventory Mapping Open 2010

This dataset contains the accessible data and reports for the FIMP survey carried out in Rosen Lake in 2010. The Rosen Lake shoreline is approximately 5,440 m long and is dominated by a vegetated shore, mud substrates and a mixture of urban and high density recreation land uses. All areas of the Rosen Lake foreshore, except for a small vegetated island at the northern end of the lake, exhibit a high level of impact due to a high level of urbanization. Numerous docks, retaining walls, and substrate modifications were observed along the foreshore of Rosen Lake. However, some small wetland and marsh areas were observed along the main lakeshore as well as along the uninhabited island at the north end. Overall, the AHI analysis for Rosen Lake ranked the main lakeshore as low, whereas the island contained very high value habitats.

Data and Resources

Additional Info

Field Value
Dataset Collection Organization Amec Earth and Environmental Limited
Dataset Steward Email santiago@livinglakescanada.ca
Dataset Citation Amec Earth, Environmental Limited, Lawrence, C., Porto, L., O'Neil, E., & Lavis, C. (2021). Rosen Lake Foreshore Inventory Mapping Open [Data set]. Columbia Basin Water Hub. https://doi.org/10.48511/06GQ-GE12
Dataset Upload Year 2021
Dataset Earliest Record Start Date 2010-01-01
Dataset Latest Record End Date 2010-12-31
Dataset Funding Description Funding and/or in kind donations and support for this project provided by Department of Fisheries and Oceans Canada, Ministry of Environment, Canadian Columbia River Inter-Tribal Fisheries Commission, Regional District of East Kootenay
Dataset Data Disclaimer No warranty or guarantee exists that the information is accurate, complete, current, or suitable for any purpose. The individual user must confirm the accuracy of the data and whether it will be appropriate for their purpose.
Other Data Sources
Brief description of dataset location Shores of Rosen Lake
Dataset Type Lake
Dataset Keywords Habitat,GIS data,Technical Research Grade,People and Perspectives,Land Use,Lake
Dataset Latitude 49.3992
Dataset Longitude -115.256
Dataset DOI 10.48511/06GQ-GE12
Station URL