Name: Carbon Sequestration/Emission from 2004 to 2050 with 0.17m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2004to2050_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Carbon Sequestration/Emission from 2050 to 2100 with 0.39m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2050to2100_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Carbon Sequestration/Emission from 2004 to 2100 with 0.39m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2004to2100_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Carbon Sequestration/Emission from 2004 to 2050 with 0.41m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2004to2050_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Carbon Sequestration/Emission from 2050 to 2100 with 1m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2050to2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Carbon Sequestration/Emission from 2004 to 2100 with 1m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2004to2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Carbon Sequestration/Emission from 2004 to 2050 with 0.82m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2004to2050_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Carbon Sequestration/Emission from 2050 to 2100 with 2m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2050to2100_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Carbon Sequestration/Emission from 2004 to 2100 with 2m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_CO2SeqEmis_2004to2100_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2004_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Simulated Carbon Storage in 2050 with 0.17m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2050_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Simulated Carbon Storage in 2100 with 0.39m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2100_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2004_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Simulated Carbon Storage in 2050 with 0.41m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2050_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Simulated Carbon Storage in 2100 with 1m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2004_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Simulated Carbon Storage in 2050 with 0.82m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2050_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Name: Simulated Carbon Storage in 2100 with 2m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This raster file shows the total carbon storage or the sequestration/emission potential in Galveston Bay, Texas based on the outputs of the InVest Blue Carbon Model, a model developed by the Natural Capital Project. A series of rasters were created to assess the carbon storage potential of coastal habitats based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services Blue Carbon model designed to assess carbon storage and sequestration and emissions that was developed by The Natural Capital Project (NATCAP) and The Nature Conservancy to assess the potential impacts of SLR on future carbon storage potential in coastal wetlands. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc. and carbon estimates for above ground, below ground and soil components that were obtained from published literature. <a href='xml/gulfmex_TX_GB_TotalCarbon_2100_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
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 communitys 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 Galveston Bay 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. 5) and communities with high risk and low marsh viability would be considered least resilient (e.g. 1). It is also important to note that only block groups that currently contain marsh distribution were considered in this analysis.
<a href='xml/gulfmex_TX_GBJC_CommunityResilience_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This dataset shows the percentage of each block group in Galveston Bay and Jefferson County, Texas that are potentially exposed to 1 meter of SLR in the year 2100, classified between Low (<5%), Moderate (5%-10%) and High (>15%) based on percent of block group area inundated.
<a href='xml/gulfmex_TX_GBJC_SLRExposure_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Exposure to Hurricane Ike like event in 2004
Display Field: ike_per04
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset was made to show the percentage of each block group in Galveston Bay and Jefferson County that are potentially exposed to a storm surge scenario similar to 2008 Hurricane Ike, classified between Low (<5%), Moderate (5%-10%) and High (>15%) based on percent of block group area inundated.
<a href='xml/gulfmex_TX_GBJC_StormSurgeExposure_Ike_2004.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Exposure to Hurricane Ike like event in 2100
Display Field: ike_pr2100
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset shows the percentage of each block group in Galveston Bay and Jefferson County, Texas that are potentially exposed to a storm surge scenario similar to 2008 Hurricane Ike, intensified by 1 meter of SLR. This dataset shows the potential increased exposure of communities to future storm surge due to SLR, classified between Low (<5%), Moderate (5%-10%) and High (>15%) based on percent of block group area inundated.
<a href='xml/gulfmex_TX_GBJC_StormSurgeExposure_Ike_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: Risk is defined as the outcome of the interaction between the hazard impact, the level of exposure of the elements at risk to the hazard, and the vulnerability of the elements at risk (Shepard et al. 2011). This analysis shows at risk communities in Glaveston Bay and Jefferson County, Texas due to a 1 m SLR scenario by 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_TX_GBJC_SLRRisk_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Risk to Hurricane Ike like event in 2004
Display Field: ike04vul
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Risk is defined as the outcome of the interaction between the hazard impact, the level of exposure of the elements at risk to the hazard, and the vulnerability of the elements at risk (Shepard et al. 2011). This analysis shows at risk communities in Galveston Bay and Jefferson County, Texas to a storm surge similar to 2008's Hurricane Ike. 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_TX_GBJC_StormSurgeRisk_Ike_2004.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Risk to Hurricane Ike like event in 2100
Display Field: ike2100vul
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Risk is defined as the outcome of the interaction between the hazard impact, the level of exposure of the elements at risk to the hazard, and the vulnerability of the elements at risk (Shepard et al. 2011). This analysis shows at risk communities in Galvesston Bay and Jefferson County, Texas to a storm surge similar to 2008's Hurricane Ike 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 Risk is defined as the outcome of the interaction between the hazard impact, the level of exposure of the elements at risk to the hazard, and the vulnerability of the elements at risk (Shepard et al. 2011). This analysis shows at risk communities in Galvesston Bay and Jefferson County, Texas to a storm surge similar to 2008's Hurricane Ike 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_TX_GBJC_StormSurgeRisk_Ike_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2004_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2050_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2100_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2004_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2050_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2004_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2050_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBlueCrab_2100_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2004_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2050_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2100_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2004_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2050_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2004_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2050_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestBrownShrimp_2100_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestRedDrum_2004_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2050_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestRedDrum_2100_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestRedDrum_2004_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestRedDrum_2050_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestRedDrum_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestRedDrum_2004_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestRedDrum_2050_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestRedDrum_2100_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2004_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2050_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2100_IPCCmean_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2004_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2050_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2004_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2050_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This raster file shows the predicted habitat preferences and extents for important commercial and recreational fishery species in Galveston Bay, Texas. A series of rasters were created for each species based on current land cover conditions in 2004 and future land cover predictions in 2050 and 2100 for Sea-Level Rise (SLR) scenarios of 1 meter, 2 meter and the IPCC mean through the year 2100. These model outputs come from an InVest Ecosystem Services model designed for marine fisheries that was developed by The Nature Conservancy and The Natural Capital Project (NATCAP) to assess the potential impacts of SLR on future fisheries habitat. The primary inputs for these analyses were Sea level Affecting Marsh Model (SLAMM) outputs that were completed for Galveston Bay, Texas by Warren Pinnacle Consulting, Inc., digitial elevation models and life cycle parameters for each fish species that were obtained from published literature. <a href='xml/gulfmex_TX_GB_InVestSouthernFlounder_2100_2m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Natural Capital Project
Description: This dataset shows existing irregularly- and regularly-flooded marshes that are within and outside of management areas in Galveston Bay and Jefferson County, Texas. Management areas shown here are either federal, state, or managed by The Nature Conservancy 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_TX_GBJC_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 for the Galveston Bay and Jefferson County, Texas project sites.
<a href='xml/gulfmex_TX_GBJC_ConservationAreas.xml' target='_blank'><b>Metadata</b><a></br>
Name: Potential Future Marsh Management Areas in 2100
Display Field: fid_marsh_
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset was created to show potential future irregularly- and regularly-flooded marsh advancement zones under a 1 meter sea level rise scenario by 2100 that are within and outside of management areas in Galveston Bay and Jefferson County, Texas. Management areas shown here are either federal, state, or managed by The Nature Conservancy 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_TX_GBJC_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 in Galveston Bay and Jefferson County, Texas. 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_TX_GBJC_ExistingMarshLoss_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This dataset shows the advancement zone in Galveston Bay and Southern Jefferson County, TX within which existing regularly- and irregularly-flooded salt marshes are expected to migrate through the year 2100 under a 1m SLR scenario. The advancement zone dataset excludes existing marsh distribution and only shows the future path of marsh habitat.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.
<a href='xml/gulfmex_TX_GBJC_FutureMarshAdvance_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Marsh Priority Areas for Galveston Bay, Texas in 2100
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The purpose of this analysis was to identify priority marsh conservation areas based on the results from the Sea-Level Rise Affecting Marsh Model (SLAMM) for Galveston Bay, Texas. 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_TX_GB_MarshPriorityAreas_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Marsh Priority Areas for Jefferson County, Texas in 2100
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The purpose of this analysis was to identify priority marsh conservation areas based on the results from the Sea-Level Rise Affecting Marsh Model (SLAMM) for Jefferson County in Texas. 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_TX_JC_MarshPriorityAreas_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Marsh Viability by Census Block Group in 2100
Display Field: loss_m
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 Galveston Bay, Texas. 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_TX_GBJC_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_TX_GB_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_TX_GB_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_TX_GB_SaltMarshes_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: The image shows the initial condition SLAMM landcover map for the Galveston Bay, Texas which was derived from 2004 National Wetland Inventory (NWI) data and was used for the Sea Level Rise Affecting Marsh Model (SLAMM) version 6.
<a href='xml/gulfmex_TX_GB_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 Galveston Bay, Texas 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_TX_GB_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 Galveston Bay, Texas 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_TX_GB_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 Galveston Bay, Texas 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_TX_GB_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 Galveston Bay, Texas 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_TX_GB_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 Galveston Bay, Texas in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Max (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_TX_GB_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 Galveston Bay, Texas in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Max (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_TX_GB_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 Galveston Bay, Texas in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Max (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_TX_GB_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 Galveston Bay, Texas in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Max (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_TX_GB_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 Galveston Bay, Texas in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the1 meter 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_TX_GB_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 Galveston Bay, Texas in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the1 meter 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_TX_GB_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 Galveston Bay, Texas in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the1 meter 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_TX_GB_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 Galveston Bay, Texas in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the1 meter 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_TX_GB_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 Galveston Bay, Texas in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the1.5 meter 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_TX_GB_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 Galveston Bay, Texas in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the1.5 meter 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_TX_GB_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 Galveston Bay, Texas in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the1.5 meter 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_TX_GB_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 Galveston Bay, Texas in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the1.5 meter 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_TX_GB_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 Galveston Bay, Texas in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the2 meter 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_TX_GB_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 Galveston Bay, Texas in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the2 meter 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_TX_GB_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 Galveston Bay, Texas in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the2 meter 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_TX_GB_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 Galveston Bay, Texas in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the2 meter 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_TX_GB_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, which was derived from the SLAMM model, as compared to initial conditions in the 2004 landcover map.
<a href='xml/gulfmex_TX_GB_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, which was derived from the SLAMM model, as compared to initial conditions in the 2004 landcover map.
<a href='xml/gulfmex_TX_GB_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, which was derived from the SLAMM model, as compared to initial conditions in the 2004 landcover map.
<a href='xml/gulfmex_TX_GB_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, which was derived from the SLAMM model, as compared to initial conditions in the 2004 landcover map.
<a href='xml/gulfmex_TX_GB_EstuarineGain_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge for Galveston Bay and southern Jefferson County, Texas in 2004 under hurricane Ike (2008) 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 the points for storm surge height for land areas were selected, the difference between the maximum storm surge height from the NAVD88 mean sea level (0ft) was subtracted from each point’s elevation value to calculate the height of the storm surge above the ground surface. The resulting values for overland storm surge height for were then averaged together using a spatial join to a vector polygon grid with a resolution of 300m, which 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 over land areas for the study area.
<a href='xml/gulfmex_TX_GBJC_StormSurge_Ike_2004.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted storm surge for Galveston Bay and southern Jefferson county, Texas in 2050 under hurricane Ike (2008) conditions and 0.41m of Sea Level Rise. The storm surge model used 1m of SLR and calculated the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters from a predicted 2050 SLAMM landcover map, which showed how marshes are predicted to migrate inland in the study area due by 2050 based on the 1m of sea level rise by 2100 scenario. 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 the points for storm surge height for land areas were selected, the difference between the maximum storm surge height from the NAVD88 mean sea level (0ft) was subtracted from each point’s elevation value to calculate the height of the storm surge above the ground surface. The resulting values for overland storm surge height for were then averaged together using a spatial join to a vector polygon grid with a resolution of 300m, which 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 over land areas for the study area.
<a href='xml/gulfmex_TX_GBJC_StormSurge_Ike_1mSLR_2050.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted storm surge for Galveston Bay and southern Jefferson county, Texas in 2100 under hurricane Ike (2008) conditions and 0.41m of Sea Level Rise. The storm surge model used 1m of SLR and calculated the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters from a predicted 2050 SLAMM landcover map, which showed how marshes are predicted to migrate inland in the study area due by 2050 based on the 1m of sea level rise by 2100 scenario. 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 the points for storm surge height for land areas were selected, the difference between the maximum storm surge height from the NAVD88 mean sea level (0ft) was subtracted from each point’s elevation value to calculate the height of the storm surge above the ground surface. The resulting values for overland storm surge height for were then averaged together using a spatial join to a vector polygon grid with a resolution of 300m, which 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 over land areas for the study area.
<a href='xml/gulfmex_TX_GBJC_StormSurge_Ike_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>