Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations

Abstract Accurate simulations of high‐latitude ecosystems are critical for confident Earth system model (ESM) projections of carbon cycle feedbacks to global climate change. Land surface model components of ESMs, including the E3SM Land Model (ELM), simulate vegetation growth and ecosystem responses...

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Published in:Journal of Advances in Modeling Earth Systems
Main Authors: Benjamin N. Sulman, Verity G. Salmon, Colleen M. Iversen, Amy L. Breen, Fengming Yuan, Peter E. Thornton
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2021
Subjects:
Online Access:https://doi.org/10.1029/2020MS002396
https://doaj.org/article/ff819ef2c630405089c30f22eac0c143
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spelling ftdoajarticles:oai:doaj.org/article:ff819ef2c630405089c30f22eac0c143 2023-05-15T14:43:17+02:00 Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations Benjamin N. Sulman Verity G. Salmon Colleen M. Iversen Amy L. Breen Fengming Yuan Peter E. Thornton 2021-04-01T00:00:00Z https://doi.org/10.1029/2020MS002396 https://doaj.org/article/ff819ef2c630405089c30f22eac0c143 EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2020MS002396 https://doaj.org/toc/1942-2466 1942-2466 doi:10.1029/2020MS002396 https://doaj.org/article/ff819ef2c630405089c30f22eac0c143 Journal of Advances in Modeling Earth Systems, Vol 13, Iss 4, Pp n/a-n/a (2021) Arctic biomass modeling plant functional types vegetation Physical geography GB3-5030 Oceanography GC1-1581 article 2021 ftdoajarticles https://doi.org/10.1029/2020MS002396 2022-12-31T06:35:19Z Abstract Accurate simulations of high‐latitude ecosystems are critical for confident Earth system model (ESM) projections of carbon cycle feedbacks to global climate change. Land surface model components of ESMs, including the E3SM Land Model (ELM), simulate vegetation growth and ecosystem responses to changing climate and atmospheric CO2 concentrations by grouping heterogeneous vegetation into like sets of plant functional types (PFTs). Many such models represent high‐latitude vegetation using only two PFTs (shrub and grass), thereby missing the diversity of vegetation growth forms and functional traits in the Arctic. Here, we use field observations of biomass and leaf traits across a gradient of plant communities on the Seward Peninsula in northwest Alaska to replace the original ELM configuration for the first time with nine Arctic‐specific PFTs. The newly developed PFTs include: (1) nonvascular mosses and lichens, (2) deciduous and evergreen shrubs of various height classes, including an alder PFT, (3) graminoids, and (4) forbs. Improvements relative to the original model configuration included greater belowground biomass allocation, persistent fine roots and rhizomes of nonwoody plants, and better representation of variability in total plant biomass across sites with varying plant communities and depth to bedrock. Simulations through 2100 using the RCP8.5 climate scenario and constant PFT fractional areas showed alder‐dominated plant communities gaining more biomass and lichen‐dominated communities gaining less biomass compared to default PFTs. Our results highlight how representing the diversity of arctic vegetation and confronting models with measurements from varied plant communities improves the representation of arctic vegetation in terrestrial ecosystem models. Article in Journal/Newspaper Arctic Climate change Seward Peninsula Alaska Directory of Open Access Journals: DOAJ Articles Arctic Journal of Advances in Modeling Earth Systems 13 4
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic
biomass
modeling
plant functional types
vegetation
Physical geography
GB3-5030
Oceanography
GC1-1581
spellingShingle Arctic
biomass
modeling
plant functional types
vegetation
Physical geography
GB3-5030
Oceanography
GC1-1581
Benjamin N. Sulman
Verity G. Salmon
Colleen M. Iversen
Amy L. Breen
Fengming Yuan
Peter E. Thornton
Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations
topic_facet Arctic
biomass
modeling
plant functional types
vegetation
Physical geography
GB3-5030
Oceanography
GC1-1581
description Abstract Accurate simulations of high‐latitude ecosystems are critical for confident Earth system model (ESM) projections of carbon cycle feedbacks to global climate change. Land surface model components of ESMs, including the E3SM Land Model (ELM), simulate vegetation growth and ecosystem responses to changing climate and atmospheric CO2 concentrations by grouping heterogeneous vegetation into like sets of plant functional types (PFTs). Many such models represent high‐latitude vegetation using only two PFTs (shrub and grass), thereby missing the diversity of vegetation growth forms and functional traits in the Arctic. Here, we use field observations of biomass and leaf traits across a gradient of plant communities on the Seward Peninsula in northwest Alaska to replace the original ELM configuration for the first time with nine Arctic‐specific PFTs. The newly developed PFTs include: (1) nonvascular mosses and lichens, (2) deciduous and evergreen shrubs of various height classes, including an alder PFT, (3) graminoids, and (4) forbs. Improvements relative to the original model configuration included greater belowground biomass allocation, persistent fine roots and rhizomes of nonwoody plants, and better representation of variability in total plant biomass across sites with varying plant communities and depth to bedrock. Simulations through 2100 using the RCP8.5 climate scenario and constant PFT fractional areas showed alder‐dominated plant communities gaining more biomass and lichen‐dominated communities gaining less biomass compared to default PFTs. Our results highlight how representing the diversity of arctic vegetation and confronting models with measurements from varied plant communities improves the representation of arctic vegetation in terrestrial ecosystem models.
format Article in Journal/Newspaper
author Benjamin N. Sulman
Verity G. Salmon
Colleen M. Iversen
Amy L. Breen
Fengming Yuan
Peter E. Thornton
author_facet Benjamin N. Sulman
Verity G. Salmon
Colleen M. Iversen
Amy L. Breen
Fengming Yuan
Peter E. Thornton
author_sort Benjamin N. Sulman
title Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations
title_short Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations
title_full Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations
title_fullStr Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations
title_full_unstemmed Integrating Arctic Plant Functional Types in a Land Surface Model Using Above‐ and Belowground Field Observations
title_sort integrating arctic plant functional types in a land surface model using above‐ and belowground field observations
publisher American Geophysical Union (AGU)
publishDate 2021
url https://doi.org/10.1029/2020MS002396
https://doaj.org/article/ff819ef2c630405089c30f22eac0c143
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Seward Peninsula
Alaska
genre_facet Arctic
Climate change
Seward Peninsula
Alaska
op_source Journal of Advances in Modeling Earth Systems, Vol 13, Iss 4, Pp n/a-n/a (2021)
op_relation https://doi.org/10.1029/2020MS002396
https://doaj.org/toc/1942-2466
1942-2466
doi:10.1029/2020MS002396
https://doaj.org/article/ff819ef2c630405089c30f22eac0c143
op_doi https://doi.org/10.1029/2020MS002396
container_title Journal of Advances in Modeling Earth Systems
container_volume 13
container_issue 4
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