About - OurPlanscape/Planscape GitHub Wiki
Summary
Planscape integrates two systems developed within the USDA Forest Service, namely
- PROMOTe: a framework for evaluating landscape conditions, and
- ForSys: an optimization framework for creating and prioritizing landscape projects.
It uses data from the Wildfire Task Force Regional Resource Kits.
References
PROMOTe
Papers
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Manley, P.N., N.A. Povak, K. Wilson, M.L. Fairweather, and V. Griffey. 2022. "Blueprint for resilience: Tahoe-Central Sierra Initiative." Unpublished final report to the Sierra Nevada Conservancy, Auburn, CA. 117 pp. https://www.fs.usda.gov/psw/topics/restoration/tcsi/publications/TCSI-Blueprint.pdf
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Tahoe-Central Sierra Initiative. 2021. "Framework for Resilience: Tahoe-Central Sierra Initiative. A summary of the resilience pillars, elements, and metrics." Sierra Nevada Conservancy.
ForSys
Papers
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Belavenutti, P., A. A. Ager, W. Chung, and M. A. Day. 2022. "Designing forest restoration projects to optimize the application of broadcast burning." Ecological Economics 201.
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Belavenutti, P., W. Chung, and A. A. Ager. 2021. "The economic reality of the forest and fuel management deficit on a fire prone western US national forest." Journal of Environmental Management 293:112825. https://www.fs.usda.gov/treesearch/pubs/63130
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Ager, A.A., R.M. Houtman, M.A. Day, C. Ringo, and P. Palaiologou. 2019. "Tradeoffs between US national forest harvest targets and fuel management to reduce wildfire transmission to the wildland urban interface." Forest Ecology and Management. 434:99-109.
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Ager, A. A., C. R. Evers, M. A. Day, F. J. Alcasena, and R. Houtman. 2021. "Planning for future fire: scenario analysis of an accelerated fuel reduction plan for the western United States." Landscape and Urban Planning 215:1-12. doi: 10.1016/j.landurbplan.2021.104212
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Ager, A.A., K.C. Vogler, M.A. Day, and J.D. Bailey. 2017. "Economic opportunities and trade-offs in collaborative forest landscape restoration." Ecological Economics 136:226-239.
Software
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Houtman R, Evers C, Belavenutti P, Day M, and Ager A. 2022. "ForSysR: A scenario planning platform for modeling multi-criteria spatial priorities in R." R package version 0.9. Available at GitHub.
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Belavenutti P, Evers C, Day M, and Ager A. 2022. "Patchmax: A patch building algorithm for use in scenario planning." R package version 0.3.
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Evers, C. 2020. "Slider bar prototype for Region 6". https://codyevers.com/forsys_slider_r6/
Resources
Data
Sources for the Regional Resource Kits
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USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW)
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USFS Rocky Mountain Research Station (RMRS)
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Pyrologix - Primary data contact: James Newman (California State BLM Office) [email protected] This 2022 dataset is an update produced by Pyrologix for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Citation for this data is in the References section below.
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UC Irvine - The University of California ("UC") makes the materials on this website available pursuant to the following disclaimers: the materials are offered "as is"; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
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The CECS data layers may be used under comparable terms. The specific data use license is a Creative Commons BY-SA agreement.
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California Department of Fish and Wildlife - Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife's (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information.
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UC Davis - The University of California ("UC") makes the materials on this website available pursuant to the following disclaimers: the materials are offered "as is"; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
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Office of Environmental Health Hazard Assessment, CAL EPA - The CalEnviroScreen 4.0 model is based on CalEPA's definition of cumulative impacts. The model is based on geography, specifically census tracts in California. It presents information for the entire state.
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California Natural Resources Agency, CALFIRE - The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.
For all data layers you are free to share, copy, and re redistribute the material in any medium or format AND adapt, remix, transform, and build upon the material for any purpose, even commercially under the following terms:
- Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- ShareAlike - If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything this license permits.