Description: This analysis combines the Community Risk Analysis and Marsh Viability Analysis to identify communities that might be least (or most) resilient based on a communities social vulnerability, exposure to storm surge, and the viability of marsh systems within each block group. Marsh systems offer many ecosystem services to human communities such as preventing shoreline erosion, storm surge buffering, increasing water quality, and fish habitat. This analysis assumes that communities are more resilient if they have lower social vulnerability, are less exposed to storm surge inundation and have marsh systems that can either maintain or increase in size 1 meter of with sea level rise by the year 2100.There are many locally-dependent factors that make a community more or less resilient to natural hazards, and some of these nuances cannot be captured with census block group level data, nor do viable marsh systems alone create more resilient human communities. This analysis should be interpreted as a demonstration of how coastal hazard risk information can be combined with ecosystem viability data to inform conservation planning activities that benefit both human and natural communities. Furthermore, the census data used in this analysis reflects conditions for the year 2000, the year for which this data was most recently available. This analysis is limited in that it compared socioeconomic conditions for the year 2000 with future inundation scenarios without modeling how the social landscape might change over the next 80 years. Projecting future socioeconomic conditions was beyond the scope of this work, and other published studies have had similar temporal limitations (e.g. Hallegatte et al. 2011, Frazier et al. 2010, and Zhang 2001). Ultimately, this analysis is intended to help coastal managers and decision makers plan for and respond to future changes, by illustrating how future climate-enhanced coastal hazards can impact communities throughout the region. The Community Resilience Analysis used in this study is one example of how socioeconomic and ecological information can be integrated with coastal hazards data to characterize community resilience. Using an indexing method similar to that which was used in the Community Risk Analysis, the combined marsh viability and community risk indices were classified on a 1-5, low to high, scale using an if-then logic model where communities with low risk and high marsh viability would be considered most resilient (e.g. 1) and communities with high risk and low marsh viability would be considered least resilient (e.g. 5). It is also important to note that only block groups that currently contain marsh distribution were considered in this analysis.
<a href='xml/gulfmex_FL_CSAB_CommunityResilience_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This analysis shows the percentage of each block group potentially exposed to 1 meter of SLR in the year 2100, classified with natural jenks (5).
<a href='xml/gulfmex_FL_CSAB_SLRExposure_1m_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Exposure to Hurricane Ivan like event in 2004
Display Field: per_ss2004
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This analysis shows the percentage of each block group potentially exposed to a storm surge scenario similar to 2004 Hurricane Ivan in St Andrews Bay and Choctawhatchee Bay, Florida using the Advanced Circulation model (ADCIRC) based on Low (<5%), Moderate (5%-15%) and High (>15%) percent of block group area inundated.
<a href='xml/gulfmex_FL_CSAB_StormSurgeExposure_Ivan_2004.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Exposure to Hurricane Ivan like event in 2100
Display Field: per_ss2100
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This analysis shows the percentage of each block group potentially exposed to a storm surge scenario similar to 2004 Hurricane Ivan in St Andrews Bay and Choctawhatchee Bay, Florida using the Advanced Circulation model (ADCIRC)based on Low (<5%), Moderate (5%-15%) and High (>15%) percent of block group area inundated.
<a href='xml/gulfmex_FL_CSAB_StormSurgeExposure_Ivan_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This analysis shows at risk communities to a 1 m SLR scenario. The input datasets include the SoVI dataset and the community exposure analysis that estimates the percentage of each block group exposed to various inundation scenarios. High risk communities in this analysis are those that are classified as having higher social vulnerability and higher exposure to SLR. Low risk communities are those that have lower social vulnerability and lower exposure to SLR. Finally, the Community Risk index was calculated by classifying the exposure index with the SoVI into a 1-5 (low to high) ranking system where blocks groups that experienced high exposure and high social vulnerability (e.g. 5), were considered highest risk, while block groups with medium exposure and medium social vulnerability were considered medium risk (e.g. 3), and so forth.
<a href='xml/gulfmex_FL_CSAB_SLRRisk_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Risk to Hurricane Ivan like event in 2004
Display Field: rsk_ss2004
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This analysis shows at risk communities to a storm surge similar to 2004's Hurricane Ivan. The input datasets include the SoVI dataset and the community exposure analysis that estimates the percentage of each block group exposed to various inundation scenarios. High risk communities in this analysis are those that are classified as having higher social vulnerability and higher exposure to SLR. Low risk communities are those that have lower social vulnerability and lower exposure to SLR. Finally, the Community Risk index was calculated by classifying the exposure index with the SoVI into a 1-5 (low to high) ranking system where blocks groups that experienced high exposure and high social vulnerability (e.g. 5), were considered highest risk, while block groups with medium exposure and medium social vulnerability were considered medium risk (e.g. 3), and so forth.
<a href='xml/gulfmex_FL_CSAB_StormSurgeRisk_Ivan_2004.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Risk to Hurricane Ivan like event in 2100
Display Field: rsk_ss2100
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This analysis shows at risk communities to a storm surge similar to 2004's Hurricane Ivan plus 1 meter of SLR (2100). The input datasets include the SoVI dataset and the community exposure analysis that estimates the percentage of each block group exposed to various inundation scenarios. High risk communities in this analysis are those that are classified as having higher social vulnerability and higher exposure to SLR. Low risk communities are those that have lower social vulnerability and lower exposure to SLR. Finally, the Community Risk index was calculated by classifying the exposure index with the SoVI into a 1-5 (low to high) ranking system where blocks groups that experienced high exposure and high social vulnerability (e.g. 5), were considered highest risk, while block groups with medium exposure and medium social vulnerability were considered medium risk (e.g. 3), and so forth.
<a href='xml/gulfmex_FL_CSAB_StormSurgeRisk_Ivan_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This dataset shows existing irregularly- and regularly-flooded marshes that are within and outside of management areas. Management areas shown here are either federal or state managed and potentially do not include all management areas within the study area, nor do they consider the level of protection per management area.
<a href='xml/gulfmex_FL_CSAB_ExistingMarshManagement_2004.xml' target='_blank'><b>Metadata</b><a></br>
Description: These conservation areas are all federally owned lands and state-level conservation areas that fell within the study area boundaries of Choctawhatchee and St. Andrew Bays in Florida.
<a href='xml/gulfmex_FL_CSAB_ConservationAreas.xml' target='_blank'><b>Metadata</b><a></br>
Description: This dataset shows potential future irregularly- and regularly-flooded marsh advancement zones (the landward path of marsh migration under a 1 meter sea level rise scenario between now and the year 2100) that are within and outside of management areas in Choctawhatchee and St. Andrew Bays in Florida. Management areas shown here are either federal or state managed and potentially do not include all management areas within the study area, nor do they consider the level of protection per management area.
<a href='xml/gulfmex_FL_CSAB_FutureMarshManagement_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This dataset shows the percentage of loss of existing irregularly flooded and regularly flooded marshes by 2100 under a 1 m SLR scenario. SLAMM was used to predict the future distribution of marshes and the marsh persistence and loss calculations were summarized by each individual marsh polygon.
<a href='xml/gulfmex_FL_CSAB_ExistingMarshLoss_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This dataset is based on results from the application of SLAMM. The predicted distribution of marshes in years 2025, 2050, 2075, and 2100 were merged together and existing marsh distrubtion was removed in order to depict future marsh advancement in Choctawhatchee and St. Andrew Bays in Florida.
<a href='xml/gulfmex_FL_CSAB_FutureMarshAdvance_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: The purpose of this analysis was to identify priority marsh conservation areas in Choctawhatchee and St. Andrew Bays in Florida based on the results from the Sea-Level Rise Affecting Marsh Model (SLAMM) for the four different project sites in the Gulf of Mexico. The analysis consisted of two parts, which included the identification of current marsh areas that are predicted to persist until 2100 with 1m of sea-level rise, as well as new areas that are marshes are predicted to migrate into by 2100 with 1m of sea-level rise. The second part of the analysis consisted of identifying these marsh areas that lie outside of current conservation areas, which would constitute areas of priority for future protection. The marsh areas used for the analysis consisted of the regularly and irregularly flooded marsh categories from the SLAMM landcover maps coming from the National Wetland Inventory used in the SLAMM assessment for each project site.
<a href='xml/gulfmex_FL_CSAB_MarshPriorityAreas_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Marsh Viability by Census Block Group in 2100
Display Field: mrsh_loss
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset shows the block groups with the most and least viable irregularly flooded and regularly flooded marsh under a 1 meter SLR scenario in Choctawhatchee and St. Andrew Bays in Florida. Marsh viability was calculated by subtracting Marsh Loss from Marsh Persistence plus Marsh Gains and is classified here from Low to High. The 5 classes shown here were classified based on a Natural Breaks classification which helps to show maximum differences in marsh viability per census block group.
<a href='xml/gulfmex_FL_CSAB_MarshViabilityBlockgroup_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico. The map represents the gain, losses, and persistence for a specific landcover category between two landcover maps representing two points in time. The landcover maps used for the study area were derived from Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario and show how marshes are predicted to migrate inland due to rises in sea level by 2100.
<a href='xml/gulfmex_FL_CSAB_IFMarshChange_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico. The map represents the gain, losses, and persistence for a specific landcover category between two landcover maps representing two points in time. The landcover maps used for the study area were derived from Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario and show how marshes are predicted to migrate inland due to rises in sea level by 2100.
<a href='xml/gulfmex_FL_CSAB_RFMarshChange_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Salt Marshes (regularly and irregularly flooded) in 2100
Display Field:
Type: Raster Layer
Geometry Type: null
Description: 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 for The Nature Conservancy by Warren Pinnacle Consulting, Inc. and consisted of predicted landcover maps from 2009 up to the year 2100 with a 10 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 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. The marsh categories were extracted from each 2100 landcover image, reclassified as a Boolean image, and then merged together using the addition operator with the overlay tool in the Idrisi GIS software.
<a href='xml/gulfmex_FL_CSAB_SaltMarshes_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: The image shows the initial condition SLAMM landcover map for the Choctawhatchee and St. Andrews Bays, Florida which was derived from the Florida Natural Areas Inventory (FNAI) dataset derived from 2004 imagery and was used for the Sea Level Rise Affecting Marsh Model (SLAMM) version 6.
<a href='xml/gulfmex_FL_CSAB_SLAMM_base_2004.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Mean (0.39m)sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_IPCCmean_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Mean (0.39m)sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_IPCCmean_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Mean (0.39m)sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_IPCCmean_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Mean (0.39m)sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_IPCCmean_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Maximum (0.69m) sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_IPCCmax_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Maximum (0.69m) sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_IPCCmax_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Maximum (0.69m) sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_IPCCmax_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Maximum (0.69m) sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_IPCCmax_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_1m_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_1m_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_1m_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_1m_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1.5 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_1_5m_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1.5 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_1_5m_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1.5 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_1_5m_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1.5 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_1_5m_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 2 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_2m_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 2 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_2m_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 2 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_2m_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for Choctawhatchee and St. Andrews Bays, Florida in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 2 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2004 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_FL_CSAB_SLAMM_2m_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Name: Predicted Estuarine Water Gains in 2025 with 0.18m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The file was created by determining all new areas of the estuarine water category created by 1 meter of SLR by 2100 in the predicted 2025 landcover map of Choctawhatchee and St. Andrew Bays in Florida, which was derived from the SLAMM model, as compared to initial conditions in the 2004 landcover map.
<a href='xml/gulfmex_FL_CSAB_EstuarineGain_1mSLR_2025.xml' target='_blank'><b>Metadata</b><a></br>
Name: Predicted Estuarine Water Gains in 2050 with 0.41m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The file was created by determining all new areas of the estuarine water category created by 1 meter of SLR by 2100 in the predicted 2050 landcover map of Choctawhatchee and St. Andrew Bays in Florida, which was derived from the SLAMM model, as compared to initial conditions in the 2004 landcover map.
<a href='xml/gulfmex_FL_CSAB_EstuarineGain_1mSLR_2050.xml' target='_blank'><b>Metadata</b><a></br>
Name: Predicted Estuarine Water Gains in 2075 with 0.70m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The file was created by determining all new areas of the estuarine water category created by 1 meter of SLR by 2100 in the predicted 2075 landcover map of Choctawhatchee and St. Andrew Bays in Florida, which was derived from the SLAMM model, as compared to initial conditions in the 2004 landcover map.
<a href='xml/gulfmex_FL_CSAB_EstuarineGain_1mSLR_2075.xml' target='_blank'><b>Metadata</b><a></br>
Name: Predicted Estuarine Water Gains in 2100 with 1m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The file was created by determining all new areas of the estuarine water category created by 1 meter of SLR by 2100 in the predicted 2100 landcover map of Choctawhatchee and St. Andrew Bays in Florida, which was derived from the SLAMM model, as compared to initial conditions in the 2004 landcover map.
<a href='xml/gulfmex_FL_CSAB_EstuarineGain_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge for Choctawhatchee and St. Andrews Bays, Florida under hurricane Ivan (2004) conditions. The storm surge simulation used the 2004 landcover map of initial conditions from the Sea Level Rise Affecting Marsh Model (SLAMM) to calculate the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters for the storm surge model. The image was created from the original storm surge model point file by isolating all points that had positive elevation (land areas) and values other than -99999 (no data) for storm surge height. Once all land areas that were inundated by storm surge in the model were selected, the elevation value of each of the selected points was subtracted from the maximum storm surge elevation height, which showed height above sea level (0ft NAVD88), to calculate the height of the storm surge above the ground surface. The resulting values for the storm surge height above the ground surface were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, where the resolution was based on the maximum spacing between points in the original file for the study area. The vector grid was then converted to a raster image with the same resolution, which represented the maximum predicted storm surge height in feet above the ground surface within the study area.
<a href='xml/gulfmex_FL_CSAB_StormSurge_Ivan_2004.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge for Choctawhatchee and St. Andrews Bays, Florida under hurricane Ivan (2004) conditions. The storm surge simulation used the 2050 predicted landcover map derived from the Sea Level Rise Affecting Marsh Model (SLAMM) to calculate the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters for the storm surge model. The image was created from the original storm surge model point file by isolating all points that had positive elevation (land areas) and values other than -99999 (no data) for storm surge height. Once all land areas that were inundated by storm surge in the model were selected, the elevation value of each of the selected points was subtracted from the maximum storm surge elevation height, which showed height above sea level (0ft NAVD88), to calculate the height of the storm surge above the ground surface. The resulting values for the storm surge height above the ground surface were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, where the resolution was based on the maximum spacing between points in the original file for the study area. The vector grid was then converted to a raster image with the same resolution, which represented the maximum predicted storm surge height in feet above the ground surface within the study area.
<a href='xml/gulfmex_FL_CSAB_StormSurge_Ivan_1mSLR_2050.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge for Choctawhatchee and St. Andrews Bays, Florida under hurricane Ivan (2004) conditions. The storm surge simulation used the 2100 predicted landcover map derived from the Sea Level Rise Affecting Marsh Model (SLAMM) to calculate the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters for the storm surge model. The image was created from the original storm surge model point file by isolating all points that had positive elevation (land areas) and values other than -99999 (no data) for storm surge height. Once all land areas that were inundated by storm surge in the model were selected, the elevation value of each of the selected points was subtracted from the maximum storm surge elevation height, which showed height above sea level (0ft NAVD88), to calculate the height of the storm surge above the ground surface. The resulting values for the storm surge height above the ground surface were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, where the resolution was based on the maximum spacing between points in the original file for the study area. The vector grid was then converted to a raster image with the same resolution, which represented the maximum predicted storm surge height in feet above the ground surface within the study area.
<a href='xml/gulfmex_FL_CSAB_StormSurge_Ivan_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>