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Layer: Marsh Priority Areas in 2100 (ID: 16)

Parent Layer: Marsh Conservation and Management - 1 meter of SLR by 2100 Scenario

Name: Marsh Priority Areas in 2100

Display Field: objectid

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset was made to show all salt marshes (irregularly- and regularly-flooded) in Corpus Christi Bay, Texas in 2100 with 1 meter of sea level rise that are adjacent to but outside of management areas. These areas were identified as priority conservation areas based on their proximity to currently existing federal, state and TNC managmed lands within the study area. The two data types used for this analysis consisted of predicted landcover maps created by the SLAMM model and federal and state conservation areas. The SLAMM maps that were used were created by The Nature Conservancy (Florida) and consisted of predicted landcover maps from 2006 up to the year 2100 with a 15 meter resolution that showed how marshes are predicted to migrate inland due to multiple scenarios of sea-level rise. The SLAMM maps with the 1m sea-level rise scenarios for each project site were selected, where the regularly and irregularly flooded marsh categories were chosen for the analysis. The conservation areas selected were the same as the ones used in the previous analysis, which included all federally owned lands, state-level conservation areas, and TNC preserves. The conservation areas that were used were all those that were fell within the study area boundaries. The methodology for this analysis consisted of extracting all areas of irregularly and regularly flooded marshes from the 2100 predicted landcover maps for each project site. The 2100 marsh areas represent all of the marsh areas that either persisted or gained new area by 2100 due to 1m of sea-level rise and were extracted from each landcover image and then merged together. The next part of the analysis consisted of merging all state and federal conservation areas into a single file, clipping them to the study area for each project site, and then rasterizing them to the same resolution and extent of the SLAMM scenarios. Once the conservation area maps and marsh area maps were reclassified, then a raster calculation was conducted by summing each pixel between both images, to identify pixels that were marsh areas that did not fall within current conservation boundaries. These pixels were then extracted to form a new image of marsh areas by 2100 that are adjacnet to but outside of current conservation area boundaries. <a href='xml/gulfmex_TX_CC_MarshConservePriorityAreas_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>

Copyright Text: The Nature Conservancy

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MaxRecordCount: 100000

Supported Query Formats: JSON, geoJSON

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

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Supports Datum Transformation: true

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Type ID Field: null

Fields:
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