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Forest Retention Index classes for the southeastern United States at 2040 were processed using the Forest Retention Decision Tree and rendered on a 30-meter by 30-meter grid. The Forest Retention Index is used only for current forestland, identified using National Land Cover Database 2011. Many datasets were used as inputs for the Forest Retention Decision Tree, and they can be grouped into five broad categories: Protected, Tier 1 Priority, Tier 2 Priority, Threats to Forest Retention, and Socio-Economic Value of Forests. Protected datasets include Protected Areas Database-United States, National Conservation Easement Database, state-maintained databases, and private datasets volunteered by conservation partners....
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These data show the Fire History Indicator for the Pine Flatwoods and Dry Prairie Conservation Asset in Florida. Fire Regime is an ecological indicator for the Pine Flatwoods and Dry Prairie Conservation Asset of the Florida Landscape Conservation Project (LCP). The LCP entails a large-scale assessment of and planning for the health of important natural resources, known as Conservation Assets (CAs), in Florida. Conservation planning at the landscape scale provides a framework for safeguarding functional ecosystems, and their interconnected processes required for maintaining healthy resources. Spatially explicit data from the project informs coordination and prioritization for making conservation decisions. A suite...
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of pH within 300 meters of saltwater marsh. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of dissolved oxygen within 300 meters of coral & hardbottom. Assessments (condition) was classified depending on the following follow thresholds for PCPY: -1.0 & 0.0 & = 1.0% - “Increasing” This dataset is part of the Florida Landscape Conservation project. The project seeks to better understand the trends of indicators within prioritized conservation assets (or habitats). The trends and analysis carried by the project will be used to aid in informing management and conservation actions at, both, the broader and detailed spatial scales. Further information on the FLCP, conservation asset extent, and metadata: https://flcpa.databasin.org/datasets/ba218d714f094e68bbdb1a0f496c9e4e
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of ammonia within 300 meters of mangrove swamp. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
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These data show the fire history indicator for Freshwater Non-Forested Wetlands (FNFW) through 2018. Fire Regime is an ecological indicator for the Landscape Conservation Project (LCP) for Florida. The LCP entails a large-scale assessment of and planning for the health of important natural resources, known as Conservation Assets (CAs), in Florida. Conservation planning at the landscape scale provides a framework for safeguarding functional ecosystems, and their interconnected processes required for maintaining healthy resources. Spatially explicit data from the project informs coordination and prioritization for making conservation decisions. Additionally, a suite of ecological indicators was carefully selected...
This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
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This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice...
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of pH within 300 meters to coral & hardbottom and coral-specific water quality datasets. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing” Description This dataset is part of the Florida Landscape Conservation project. The project seeks to better understand the trends of indicators within prioritized conservation assets (or habitats). The trends and analysis carried by the project will be used to aid in informing management and conservation...
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of total phosphorus within 300 meters of saltwater marsh. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of pH within 300 meters to coral & hardbottom and coral-specific water quality datasets. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing” Further information on the FLCP, conservation asset extent, and metadata: https://flcpa.databasin.org/datasets/ba218d714f094e68bbdb1a0f496c9e4e
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of temperature in Florida, summarized to HUC 12 watershed. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of nitrate within 300 meters of mangrove swamp. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of dissolved oxygen in Florida, summarized to HUC 12 watershed. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
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These data show the results of for Nitrate monitoring in Florida Springs for 2018. Water Quality in Florida Springs is an ecological indicator for the Landscape Conservation Project for Florida. The project entails large-scale assessment of and planning for the health of important natural resources in Florida, known as Conservation Assets (CAs). Conservation planning at the landscape scale provides a framework for safeguarding functional ecosystems, and their interconnected processes necessary to achieve true preservation of healthy resources. Spatially explicit data from the project informs prioritization and coordination for conservation decision-making. A suite of ecological indicators was carefully selected...
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These data show the Fire History Indicator for the High Pine and Scrub Conservation Asset in Florida. Sandhill Extent is an ecological indicator for the High Pine and Scrub Conservation Asset of the Florida Landscape Conservation Project (LCP). The LCP entails a large-scale assessment of and planning for the health of important natural resources, known as Conservation Assets (CAs), in Florida. Conservation planning at the landscape scale provides a framework for safeguarding functional ecosystems, and their interconnected processes required for maintaining healthy resources. Spatially explicit data from the project informs coordination and prioritization for making conservation decisions. Additionally, a suite of...
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
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These data show the potential for Coastal Uplands in Florida to migrate inland with Sea Level Rise (SLR) up to 1-meter. Protected areas within a 300-meter buffer were assessed to evaluate potential areas available for inland migration. These data represent an initial estimation of potential availability for habitat migration; additional, more refined investigations that include additional variables would be required to determine areas of high and low potential and onsite planning. These analyses were created as part of the Landscape Conservation Project for the state of Florida. Coastal Inland migration is an ecological indicator for the coastal uplands conservation asset of the Florida Landscape Conservation Project...
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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of chlorophyll a within 300 meters of seagrass. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”


map background search result map search result map Potential Reforestation Index for the South at 2060 Forest Retention Index for the South at year 2040 Bayesian network model that predicts the annual probability of beach mouse presence at a 30-m resolution in Florida coastal habitat Freshwater Non-Forested Wetlands - Fire Regime High Pine and Scrub - Sandhill Extent Final Indicator Coastal Uplands - Secure Inland Migration Pine Flatwoods and Dry Prairie - Fire Regime Final Indicator Springs - Water Quality - Nitrate Indicator Coral & Hardbottom – pH Trends (FLCP Indicator) System Wide – Temperature Trends (FLCP Indicator) System Wide – Dissolved Oxygen Trends (FLCP Indicator) Coral & Hardbottom – pH Trends (FLCP Indicator) Seagrass – Chlorophyll a Trends (FLCP Indicator) Saltwater Marsh – pH Trends (FLCP Indicator) Saltwater Marsh – Total Phosphorus Trends (FLCP Indicator) Coral & Hardbottom - Living Tissue Area Assessment (FLCP Indicators) Mangrove Swamp – Ammonia Trends (FLCP Indicator) Mangrove Swamp – Nitrate Trends (FLCP Indicator) Bayesian network model that predicts the annual probability of beach mouse presence at a 30-m resolution in Florida coastal habitat Coral & Hardbottom – pH Trends (FLCP Indicator) Coral & Hardbottom – pH Trends (FLCP Indicator) Coral & Hardbottom - Living Tissue Area Assessment (FLCP Indicators) High Pine and Scrub - Sandhill Extent Final Indicator Springs - Water Quality - Nitrate Indicator Freshwater Non-Forested Wetlands - Fire Regime Pine Flatwoods and Dry Prairie - Fire Regime Final Indicator Coastal Uplands - Secure Inland Migration System Wide – Temperature Trends (FLCP Indicator) Seagrass – Chlorophyll a Trends (FLCP Indicator) Mangrove Swamp – Ammonia Trends (FLCP Indicator) Mangrove Swamp – Nitrate Trends (FLCP Indicator) Saltwater Marsh – pH Trends (FLCP Indicator) Saltwater Marsh – Total Phosphorus Trends (FLCP Indicator) System Wide – Dissolved Oxygen Trends (FLCP Indicator) Forest Retention Index for the South at year 2040 Potential Reforestation Index for the South at 2060