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Filters: Extensions: ArcGIS Service Definition (X) > partyWithName: Toby Gray (X)

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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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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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This layer identifies terrestrial Broadly Defined Habitats associated with species of greatest conservation need as described in Wildlife Action Plans in the Mid-South region of the United States. Condition Index scores are assigned on a per-grid-cell basis at 30-meter resolution. Condition Index scores are derived from seven attributes related to desired condition metrics for specific habitats: 1) whether a targeted habitat is present, 2) patch size, 3) patch configuration or distance to nearest patch, 4) a site condition metric, such as basal area for forested landscapes, 5) a second site condition metric, such as overstory canopy cover for forested landscapes, 6) if targeted habitat not present, potential for...
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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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This data layer summarizes ecological systems and land cover classes described in state-level and national-level maps as Broadly Defined Habitats for groups of species of conservation concern. Each grid cell in the raster is assigned a Condition Index value based on desired condition metrics using ancillary datasets and a decision tree approach for each assessed habitat. Grid cells are also assigned bar code descriptors indicating which metrics contributed to the Condition Index score for that cell. This layer also contains information about potential habitats based on the LANDFIRE Biophysical Settings data layer. This layer was developed to support the next iteration of the Conservation Blueprint developed by the...
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This layer summarizes the Arkansas Terrestrial Broadly Defined Habitats Condition Index based on Condition Index Scores alone. Some users may be interested in the scores generated by the project and their habitat management implications. The symbology and map colors in this dataset represent that information. For descriptions of existing and potential habitat and per-pixel habitat condition and landscape configuration inputs to these scores, consult the Arkansas Broadly Defined Habitats with Condition Index and Barcode data layer, for which the map colors describe existing Broadly Defined Habitats.
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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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This data layer summarizes ecological systems and land cover classes described in state-level and national-level maps as Broadly Defined Habitats for groups of species of conservation concern. Each grid cell in the raster is assigned a Condition Index value based on desired condition metrics using ancillary datasets and a decision tree approach for each assessed habitat. Grid cells are also assigned bar code descriptors indicating which metrics contributed to the Condition Index score for that cell. This layer also contains information about potential habitats based on the LANDFIRE Biophysical Settings data layer. This layer was developed to support the next iteration of the Conservation Blueprint developed by the...
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This layer summarizes the Mid-South Terrestrial Broadly Defined Habitats Condition Index based on Condition Index Scores alone. Some users may be interested in the scores generated by the project and their habitat management implications. The symbology and map colors in this dataset represent that information. For descriptions of existing and potential habitat and per-pixel habitat condition and landscape configuration inputs to these scores, consult the Mid-South Terrestrial Broadly Defined Habitats Condition Index with Barcode data layer, for which the map colors describe existing Broadly Defined Habitats.
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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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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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This data layer summarizes ecological systems and land cover classes described in state-level and national-level maps as Broadly Defined Habitats for groups of species of conservation concern. Each grid cell in the raster is assigned a Condition Index value based on desired condition metrics using ancillary datasets and a decision tree approach for each assessed habitat. Grid cells are also assigned bar code descriptors indicating which metrics contributed to the Condition Index score for that cell. This layer also contains information about potential habitats based on the LANDFIRE Biophysical Settings data layer. This layer was developed to support the next iteration of the Conservation Blueprint developed by the...
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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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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....
    map background search result map search result map Potential Reforestation Index for the South at 2030 Potential Reforestation Index for the South at 2040 Potential Reforestation Index for the South at 2050 Potential Reforestation Index for the South at 2060 Forest Retention Index for the South at year 2040 Forest Retention Index for the South at year 2050 Forest Retention Index for the South at year 2030 Forest Retention Index for the South at year 2060 Arkansas Broadly Defined Habitats Arkansas Habitat Condition Index Mid-South Terrestrial Broadly Defined Habitats Condition Index with Barcode Mid-South Terrestrial Broadly Defined Habitats SIMPLIFIED Condition Index Arkansas Terrestrial Habitat Condition Index and Management Implications Arkansas Broadly Defined Habitats with Condition Index and Barcode Arkansas Broadly Defined Habitats with Condition Index and Barcode Arkansas Broadly Defined Habitats Arkansas Habitat Condition Index Arkansas Terrestrial Habitat Condition Index and Management Implications Mid-South Terrestrial Broadly Defined Habitats Condition Index with Barcode Mid-South Terrestrial Broadly Defined Habitats SIMPLIFIED Condition Index Forest Retention Index for the South at year 2040 Forest Retention Index for the South at year 2050 Forest Retention Index for the South at year 2030 Forest Retention Index for the South at year 2060 Potential Reforestation Index for the South at 2030 Potential Reforestation Index for the South at 2040 Potential Reforestation Index for the South at 2050 Potential Reforestation Index for the South at 2060