{ "culture": "en-US", "name": "MD_WetlandAdaptationtoSeaLevelRise", "guid": "DA2D121D-1350-4621-8B54-ADE72D80832A", "catalogPath": "", "snippet": "Map service of projected wetland adaptation areas and land types within Maryland\u2019s coastal zone under the 2021 Sea Level Affecting Marshes Model (SLAMM) run.", "description": "In the Chesapeake Bay, relative sea level rise (SLR) is impacting coastal lands at some of the highest rates in the U.S. Identifying long-term planning options to increase resiliency against coastal storm surge, flooding, and erosion is an important step in protecting Maryland\u2019s coastal zone. Much of our natural buffering capacity against these coastal hazards comes from our coastal wetlands. In order to better understand the impacts sea level rise may have on the state's coastal marsh system, the Sea-Level Affecting Marshes Model (SLAMM) was run for all 16 coastal counties and Baltimore City. The results of SLAMM were analyzed for specific conservation criteria for long-term planning that may help increase coastal resiliency in Maryland. The conservation criteria include areas that may support future wetland migration; wildlife habitat and corridors; high priority terrestrial living resources; vulnerable wetland habitat; and suitable hydric soils for wetland establishment. From these criteria, a conservation model was developed to prioritize the most important areas for wetland adaptation. As a result, the top priorities were used to create the Wetland Adaptation Areas (WAA) in three future timesteps: 2050, 2070, and 2100. Within the 2021 SLAMM run, it is projected that Maryland\u2019s coastal waters will rise by 1.37 feet in 2050, 2.32 feet in 2070, and 4.03 feet under a scenario of rising greenhouse gas emissions with a probability of at least 17%, using reported base sea levels in the year 2010. For more information and results from Maryland\u2019s 2021 SLAMM run, please refer to Warren Pinnacle Consulting, Inc. https://warrenpinnacle.com/prof/SLAMM/EESLR_MD/ For more information on the SLR projections that the EESLR study is based on, please refer to the 2018 UMCES SLR Report: https://www.umces.edu/sites/default/files/Sea-Level%20Rise%20Projections%20for%20Maryland%202018_0.pdfLast Updated: 05/23/2023\nNote: In ArcGIS Online web maps, the raster service displays with all layers displayed. In ArcMap and ArcPro the layers can be added individually to a map. ", "summary": "Map service of projected wetland adaptation areas and land types within Maryland\u2019s coastal zone under the 2021 Sea Level Affecting Marshes Model (SLAMM) run.", "title": "Wetland Adaptation and Vulnerability to Sea Level Rise", "tags": [ "MD iMAP", "Maryland", "MD", "Environment", "Hydrology", "DNR", "Department of Natural Resources", "Wetland Adaptation Areas", "Wetland", "Projected", "2050", "2070", "2100", "Adaptation Areas", "Wetland Corridor", "Sea Level Rise", "SLR", "SLAMM", "Marshes Model", "WMS", "KML" ], "type": "Map Service", "typeKeywords": [ "Data", "Service", "Map Service", "ArcGIS Server" ], "thumbnail": "thumbnail/thumbnail.png", "url": "", "extent": [ [ -77.3812786101803, 37.8313774672594 ], [ -74.9924646962928, 39.7350857332937 ] ], "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere", "accessInformation": "MD iMap, DNR, TNC, George Mason University, Warren Pinnacle", "licenseInfo": "The Spatial Data, and the information therein, (collectively the \"Data\") is provided \"as is\" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is their responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata." }