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Members Table: Members Table for how to search the members expertise database.

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Re: General Scoping Recommendations/Discussion: #7/23/2020 Tall Timbers Interim Report Notes # SE FireMap Scoping INT REP 2.pdf How are you spatially assigning active fire detections with burned area products? This requires a lot of processing, so efficiency is key. How did you tag active fire detections with FFS OBA? FMT code that estimates burn severity breakpoints could be easily re-written for GEE. # Questions for call # Are there any gaps or proposed modifications we should consider? Could TTRS potentially create some kind of a fire probability layer? This could be done by examining convergence of all fire detections or potentially by assigning probability to the modelling process. How could TTRS improve the fire modeling process? # What do we like and what do we think is missing? I really the like the multi-faceted approach in considering many data sources that TTRS has considered. How does TTRS get around some of the modeling limitations of BA product? Using their own modeled products? How does TTRS get around the inherent problems with the prescribed fire data records? Can they start using area burned as a way to narrow down the fire location? # How can TTRS improve the scoping process? Share their proposed processing or actual processing schemas. It would be nice to see the details.

Re: General Scoping Recommendations/Discussion: #7/23/2020 Tall Timbers Interim Report Notes # SE FireMap Scoping INT REP 2.pdf How are you spatially assigning active fire detections with burned area products? This requires a lot of processing, so efficiency is key. How did you tag active fire detections with FFS OBA? FMT code that estimates burn severity breakpoints could be easily re-written for GEE. # Questions for call # Are there any gaps or proposed modifications we should consider? Could TTRS potentially create some kind of a fire probability layer? This could be done by examining convergence of all fire detections or potentially by assigning probability to the modelling process. How could TTRS improve the fire modeling process? # What do we like and what do we think is missing? I really the like the multi-faceted approach in considering many data sources that TTRS has considered. How does TTRS get around some of the modeling limitations of BA product? Using their own modeled products? How does TTRS get around the inherent problems with the prescribed fire data records? Can they start using area burned as a way to narrow down the fire location? # How can TTRS improve the scoping process? Share their proposed processing or actual processing schemas. It would be nice to see the details.

Data Access: A dynamic index of data available on the Landscape Partnership Cloud.

Species & Habitat Association List: Compiled by Marquette Crockett in 2012 using State and Federal Lists. Range and habitat association based, primarily, on NatureServe data. "Within Appalachian boundary range" was defined to represent distributional overlap of 75% or more of known range. Print-outs generated from source database are updated as appropriate.

Data Access: A dynamic index of data available on the Landscape Partnership Portal and Cloud Platform.

Northern Bobwhite Quail Partner Workspace: The Northern Bobwhite Quail Partner Workspace is a private working group and is password protected. You must login or register with the provider to access the folders. Please use the Register button to request access. The workspace was funded for NRCS and its partners to collaborate in support of private landowners to implement Working Lands for Wildlife partnership

Golden-Winged Warbler Partner Workspace: The Golden-Winged Warbler Partner Workspace is a private working group and is password protected. You must login or register with the provider to access the folders. Please use the Register button to request access. The workspace was funded for NRCS and its partners to collaborate in support of private landowners to implement Working Lands for Wildlife partnership

Eastern Hellbender Partner Workspace: The Eastern Hellbender Partner Workspace is a private working group and is password protected. You must login or register with the provider to access the folders. Please use the Register button to request access. The workspace was funded for NRCS and its partners to collaborate in support of private landowners to implement Working Lands for Wildlife partnership

Bog Turtle Partner Workspace: The Bog Turtle Partner Workspace is a private working group and is password protected. You must login or register with the provider to access the folders. Please use the Register button to request access. The workspace was funded for NRCS and its partners to collaborate in support of private landowners to implement Working Lands for Wildlife partnership

American Black Duck Partner Workspace: The American Black Duck Partner Workspace is a private working group and is password protected. You must login or register with the provider to access the folders. Please use the Register button to request access. The workspace was funded for NRCS and its partners to collaborate in support of private landowners to implement the Working Lands for Wildlife partnership.

QGIS - An Open Source Tool for Making Maps: QGIS is a free and open source Geographic Information System, similar to ARCGIS, for creating, editing, and annotating maps and spatial data.

USGS National Water Information System: Mapper: Map of all sites with links to all available water data for individual sites.

USGS National Climate Change Viewer: Worldwide climate modeling centers participating in the 5th Climate Model Intercomparison Program (CMIP5) are providing climate information for the ongoing Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC). The output from the CMIP5 models is typically provided on grids of ~1 to 3 degrees in latitude and longitude (roughly 80 to 230 km at 45° latitude). To derive higher resolution data for regional climate change assessments, NASA applied a statistical technique to downscale maximum and minimum air temperature and precipitation from 33 of the CMIP5 climate models to a very fine, 800-m grid over the continental United States (CONUS). The full NEX-DCP30 dataset covers the historical period (1950-2005) and 21st century (2006-2099) under four Representative Concentration Pathways (RCP) emission scenarios developed for AR5. The USGS National Climate Change Viewer (NCCV) includes the historical and future climate projections from 30 of the downscaled models for two of the RCP emission scenarios, RCP4.5 and RCP8.5.