Data Basin is a science-based mapping and analysis platform that supports learning, research, and sustainable environmental stewardship.
More about Data Basin…
Your workspace is your dashboard for accessing and managing your content, bookmarks, and groups, as well as viewing messages and seeing your recently viewed content.
You need to be signed in to access your workspace.
In order to predict the impacts of climate change induced sea-level rise
on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes
Model (SLAMM) was utilized to simulate future coastal habitat
configurations under various sea-level rise scenarios. The model was run
for 2025, 2050, 2075, and 2100. Historical or "initial
condition" habitat classifications are also available for some
sites. The sea-level rise scenarios include:
1. A1B greenhouse gas emission
mean : 0.39 meter rise by 2100
2. A1B greenhouse gas emission
maximum : 0.69 meter rise by 2100
3. 1 meter rise by 2100
4. 1.5 meter rise by 2100
5. 2 meter rise by 2100
Due to differing site
conditions, local sea-level rise varies slightly from these figures, and
the exact sea-level rise used by the model for each site can be found on
page 29 of the report linked below.
This dataset includes data for
site 4, which covers the city of Everett and Snohomish estuary in the
Puget Sound. Further information on the study can be found at:
http://www.nwf.org/Global-Warming/Effects-on-Wildlife-and-Habitat/Estuaries-and-Coastal-Wetlands/~/media/PDFs/Global%20Warming/Reports/PacificNWSeaLevelRise.ashx
Data Provided By:
National Wildlife Federation and Warren Pinnacle Consulting, Inc.
Content date:
2100
Citation:
Title:
Sea-level Rise and Coastal
Habitats in the Pacific Northwest: An Analysis for Puget Sound,
Southwestern Washington, and Northwestern Oregon Credits:
Patty Glick, Jonathan
Clough, and Brad Nunley Publication Date:
2007 Publisher:
National Wildlife Federation
Spatial Resolution:
30-meter
Contact Organization:
National Wildlife Foundation and Warren Pinnacle Consulting, Inc.
Layers in this dataset are based on combinations of the following options.
You may choose from these options to select a specific layer on the map page.
The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.