Name: fr_2050

Display Field:

Type: Raster Layer

Geometry Type: null

Description: Forest Retention Index classes for the southeastern United States at 2050 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. Tier 1 Priority datasets include USFS and USFWS acquisition boundaries around existing protected lands, primarily national forests and refuges; properties submitted for Land, Water, and Conservation Fund monies; USFS Collaborative Forest Landscape Restoration Program; parcels identified for longleaf restoration by The Nature Conservancy; Florida Forever Board of Trustees properties; and properties submitted for Florida's Rustic and Family Land Protection Program. Tier 2 Priority datasets include priority areas identified in State Forest Action Plans, State Wildlife Action Plans, forest legacy areas, Southeastern Conservation and Adaptation Strategy blueprint version 2, The Nature Conservancy's Resilient and Connected Landscapes, Lower Mississippi Valley Joint Venture's Conservation Delivery Networks, target regions of longleaf local implementation teams, Gulf Coast Joint Venture priorities for migratory landbirds, and Partnership for Gulf Coast Land Conservation Vision 2014. Threats to forest retention include sea level rise (1-foot rise in sea level by 2100, National Oceanic and Atmospheric Administration) and associated coastal change (Tidal Saline Wetland Migration from Enwright et al. 2015, and Transition Areas from South Atlantic Landscape Conservation Cooperative), urbanization (SLEUTH from Belyea and Terrando), and energy development in the Southern Appalachians (from Appalachian Landscape Conservation Cooperative with The Nature Conservancy. Socio-economic value of forests datasets included timberlands (Forest Inventory and Analysis' Timber Products Output) and importance of forests to surface drinking water (Forests to Faucets). For full dataset details and citations, please see the Final Report.

Copyright Text: Forest Retention Index classes for the southeastern United States at 2030 was created by Rachel Greene (Research Associate, Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University, reb498@msstate.edu) on May 1, 2018.

Default Visibility: true

MaxRecordCount: 0

Supported Query Formats: JSON, geoJSON

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: false

Supports Statistics: false

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Extent:

XMin: -1.1115608815261833E7
YMin: 2742941.679216142
XMax: -8292368.815261833
YMax: 4969661.679216142
Spatial Reference: 102100  (3857)

Drawing Info:

N/A

Advanced Query Capabilities:

Supports Statistics: false
Supports OrderBy: false
Supports Distinct: false
Supports Pagination: false
Supports TrueCurve: false
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: false
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false

HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeNone

Type ID Field: null

Fields: None


Supported Operations:   Query   Query Attachments   Generate Renderer   Return Updates

  Iteminfo   Thumbnail   Metadata