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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....
Managing for well-connected landscapes is a key strategy to enhance resilience and ensure the long-term viability of plant and animal populations. Connectivity conservation is also the single most frequently cited climate adaptation strategy (Heller & Zavaleta 2009); many species will require highly permeable, well-connected landscapes both to maintain dispersal and gene flow as vegetation patterns and disturbance regimes change and to allow adaptive range shifts. Despite these needs, only a handful of regional conservation planning efforts have included connectivity. Moreover, despite numerous calls to increase connectivity across climatic gradients to accommodate climate-drive range shifts, there has been a lack...
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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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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....
Mapping the South’s Forests of the Future project leveraged existing regional and partnership-driven conservation planning efforts collectively defining the Southeast Conservation Adaptation Strategy, which had compiled several geospatial priorities, and expanded that work to other forest and conservation entities to produce a comprehensive geospatial inventory of planned and prioritized areas of forest protection/retention and restoration. This project integrates and incorporates priorities into a single map to visualize multiple potential futures of Southern forests while considering the gradient of uncertainty surrounding successful implementation of conservation plans, urbanization and other development pressures,...
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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....
This project will create a targeted and easily understandable guide to tools that support landscape-level planning in the face of climate change for NPLCC partners. The guide will build on previous NPLCC research on decision support needs with an emphasis on tools currently in use in the region. A survey of NPLCC partners will discover who is currently using or planning to use tools in the region, tools they are using, how well these tools are meeting their needs, and regional and outside experts engaged in tool use. Additional tools research will provide information on tools not currently in use in the region that could also provide needed functionality.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, Academics & scientific researchers, Ak-1, Ak-1, Ak-1, All tags...
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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...
A sea level rise vulnerability assessment has been completed for the shorelines of San Juan County Washington. This tool was developed to enhance understanding among land managers, provide a scientific foundation for shoreline management decisions and improve conservation of shoreline processes critical to ecosystem health. This project will create a comprehensive communication strategy that includes improving the model’s credibility, researching adaptation strategies, creating decision support tools, and hosting focus meetings.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, Applications and Tools, Applications and Tools, Changes in sea level and coastal storms, Conservation NGOs, All tags...
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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...
thumbnail
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 NPLCC Guide to Planning Tools Sea level rise adaption tools for San Juan archipelago & Salish Sea 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 Sea level rise adaption tools for San Juan archipelago & Salish Sea NPLCC Guide to Planning Tools 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