Current and Projected Future Distribution of Plant Community Types for the Southern Seward Peninsula, Alaska

Konduri, Venkata; Breen, Amy; Hargrove, William; Hoffman, Forrest; Salmon, Verity; Iversen, Colleen; Ganguly, Auroop; Kumar, Jitendra

doi:10.5440/1884818

Title: Current and Projected Future Distribution of Plant Community Types for the Southern Seward Peninsula, Alaska

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Abstract

Landscape scale maps of plant community distribution at 5 m resolution were developed for southern Seward Peninsula. A Random Forest based environmental niche model was developed using topographic and climate data sets. Models were trained for the 2010-2019 period and applied to develop plant community distributions for contemporary (2010-2019) period. Trained model was applied to project the plant community distributions under future climate. Using downscaled projections for RCP8.5 scenario from five climate models (CCSM4, GFDL-CM3, GISS-E2-R, IPSL-CM5A-LR, MRI-CGCM3) and multi-model mean, a six member ensemble of plant community distribution were developed for current decade (2010-2019) and for future decades (2020-2029, 2030-2039, 2040-2049, 2050-2059). Contains *.tif and *.sh files. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north ofmore »« less

Authors:

;

; Hargrove, William;

;

; Ganguly, Auroop;

Oak Ridge National Laboratory

Publication Date:: Wed Aug 31 00:00:00 EDT 2022

Other Number(s):: https://doi.org/10.5440/1884818; NGA292

DOE Contract Number:: AC02-05CH11231

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Next-Generation Ecosystem Experiments (NGEE) Arctic

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Collaborations:: ORNL

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; EARTH SCIENCE > BIOSPHERE > VEGETATION; Seward Peninsula, Alaska; plant community type

OSTI Identifier:: 1884818

DOI:: https://doi.org/10.5440/1884818

Citation Formats


                    Konduri, Venkata, Breen, Amy, Hargrove, William, Hoffman, Forrest, Salmon, Verity, Iversen, Colleen, Ganguly, Auroop, and Kumar, Jitendra. Current and Projected Future Distribution of Plant Community Types for the Southern Seward Peninsula, Alaska.  United States: N. p., 2022. 
        Web.  doi:10.5440/1884818.

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                    Konduri, Venkata, Breen, Amy, Hargrove, William, Hoffman, Forrest, Salmon, Verity, Iversen, Colleen, Ganguly, Auroop, & Kumar, Jitendra. Current and Projected Future Distribution of Plant Community Types for the Southern Seward Peninsula, Alaska.  United States.  doi:https://doi.org/10.5440/1884818

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                    Konduri, Venkata, Breen, Amy, Hargrove, William, Hoffman, Forrest, Salmon, Verity, Iversen, Colleen, Ganguly, Auroop, and Kumar, Jitendra. 2022.  
"Current and Projected Future Distribution of Plant Community Types for the Southern Seward Peninsula, Alaska".  United States.  doi:https://doi.org/10.5440/1884818.  https://www.osti.gov/servlets/purl/1884818. Pub date:Wed Aug 31 00:00:00 EDT 2022

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@article{osti_1884818,

  title        = {Current and Projected Future Distribution of Plant Community Types for the Southern Seward Peninsula, Alaska},

  author       = {Konduri, Venkata and Breen, Amy and Hargrove, William and Hoffman, Forrest and Salmon, Verity and Iversen, Colleen and Ganguly, Auroop and Kumar, Jitendra},

  abstractNote = {Landscape scale maps of plant community distribution at 5 m resolution were developed for southern Seward Peninsula. A Random Forest based environmental niche model was developed using topographic and climate data sets. Models were trained for the 2010-2019 period and applied to develop plant community distributions for contemporary (2010-2019) period. Trained model was applied to project the plant community distributions under future climate. Using downscaled projections for RCP8.5 scenario from five climate models (CCSM4, GFDL-CM3, GISS-E2-R, IPSL-CM5A-LR, MRI-CGCM3) and multi-model mean, a six member ensemble of plant community distribution were developed for current decade (2010-2019) and for future decades (2020-2029, 2030-2039, 2040-2049, 2050-2059). Contains *.tif and *.sh files. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},

  doi          = {10.5440/1884818},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Aug 31 00:00:00 EDT 2022},

  month        = {Wed Aug 31 00:00:00 EDT 2022}

}

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DOI: https://doi.org/10.5440/1884818

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