Ecosystem aboveground structures of an open-canopy black spruce forest in interior Alaska for ecosystem modeling
Recent warming trends in the Arctic and boreal regions far exceed the global average, and this trend is likely to continue in the future. To establish accurate benchmarks for models and represent the current status of carbon stocks and flows, it is essential to provide detailed descriptions of fores...
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Language: | English |
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National Institute of Polar Research
2023
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Online Access: | http://id.nii.ac.jp/1434/00000050/ https://pdr.repo.nii.ac.jp/?action=repository_uri&item_id=65 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=1 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=2 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=3 |
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ftjpolardata:oai:pdr.repo.nii.ac.jp:00000065 2024-10-20T14:06:50+00:00 Ecosystem aboveground structures of an open-canopy black spruce forest in interior Alaska for ecosystem modeling 2023-10 http://id.nii.ac.jp/1434/00000050/ https://pdr.repo.nii.ac.jp/?action=repository_uri&item_id=65 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=1 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=2 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=3 en eng National Institute of Polar Research https://pdr.repo.nii.ac.jp/?action=repository_uri&item_id=65 http://id.nii.ac.jp/1434/00000050/ https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=1 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=2 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=3 https://doi.org/10.17592/001.2023050101 leaf area index leaf mass per area forest above ground biomass forest census ecosystem modelling Journal Article Atmospheric science/Climatology Terrestrial biology 2023 ftjpolardata https://doi.org/10.17592/001.2023050101 2024-09-24T23:34:08Z Recent warming trends in the Arctic and boreal regions far exceed the global average, and this trend is likely to continue in the future. To establish accurate benchmarks for models and represent the current status of carbon stocks and flows, it is essential to provide detailed descriptions of forest ecosystem structures, including understory plant communities alongside carbon flux data. In this data paper, we present a synthesis data set of aboveground forest structural characteristics. Field campaigns were performed from 2010 to 2018 at the Poker Flat Research Range of the Geophysical Institute of the University of Alaska, Fairbanks, located on the outskirts of Fairbanks, AK, USA. The forest is a sparse evergreen needle-leaf forest. The field campaigns include tree census surveys in the years 2010 and 2014, direct measurement of tree aboveground biomass and their vertical profiles in 2012, tree leaf area index (LAI) measurement using a non-destructive method in 2018, and biomass and LAI survey of forest floor vegetation through direct sampling in 2018. The ecosystem structure data sets described in this paper are helpful for the calibration of the forest stand representations in the ecosystem and land surface models and for the validation of the simulated forest growth and stand structures. The data are available for download from the Japanese National Institute of Polar Research Arctic Data archive System, listed under Kobayashi et al. 2023. Article in Journal/Newspaper Arctic Japanese National Institute of Polar Research National Institute of Polar Research Alaska Polar Data Journal Arctic Fairbanks |
institution |
Open Polar |
collection |
Polar Data Journal |
op_collection_id |
ftjpolardata |
language |
English |
topic |
leaf area index leaf mass per area forest above ground biomass forest census ecosystem modelling |
spellingShingle |
leaf area index leaf mass per area forest above ground biomass forest census ecosystem modelling Ecosystem aboveground structures of an open-canopy black spruce forest in interior Alaska for ecosystem modeling |
topic_facet |
leaf area index leaf mass per area forest above ground biomass forest census ecosystem modelling |
description |
Recent warming trends in the Arctic and boreal regions far exceed the global average, and this trend is likely to continue in the future. To establish accurate benchmarks for models and represent the current status of carbon stocks and flows, it is essential to provide detailed descriptions of forest ecosystem structures, including understory plant communities alongside carbon flux data. In this data paper, we present a synthesis data set of aboveground forest structural characteristics. Field campaigns were performed from 2010 to 2018 at the Poker Flat Research Range of the Geophysical Institute of the University of Alaska, Fairbanks, located on the outskirts of Fairbanks, AK, USA. The forest is a sparse evergreen needle-leaf forest. The field campaigns include tree census surveys in the years 2010 and 2014, direct measurement of tree aboveground biomass and their vertical profiles in 2012, tree leaf area index (LAI) measurement using a non-destructive method in 2018, and biomass and LAI survey of forest floor vegetation through direct sampling in 2018. The ecosystem structure data sets described in this paper are helpful for the calibration of the forest stand representations in the ecosystem and land surface models and for the validation of the simulated forest growth and stand structures. The data are available for download from the Japanese National Institute of Polar Research Arctic Data archive System, listed under Kobayashi et al. 2023. |
format |
Article in Journal/Newspaper |
title |
Ecosystem aboveground structures of an open-canopy black spruce forest in interior Alaska for ecosystem modeling |
title_short |
Ecosystem aboveground structures of an open-canopy black spruce forest in interior Alaska for ecosystem modeling |
title_full |
Ecosystem aboveground structures of an open-canopy black spruce forest in interior Alaska for ecosystem modeling |
title_fullStr |
Ecosystem aboveground structures of an open-canopy black spruce forest in interior Alaska for ecosystem modeling |
title_full_unstemmed |
Ecosystem aboveground structures of an open-canopy black spruce forest in interior Alaska for ecosystem modeling |
title_sort |
ecosystem aboveground structures of an open-canopy black spruce forest in interior alaska for ecosystem modeling |
publisher |
National Institute of Polar Research |
publishDate |
2023 |
url |
http://id.nii.ac.jp/1434/00000050/ https://pdr.repo.nii.ac.jp/?action=repository_uri&item_id=65 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=1 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=2 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=3 |
geographic |
Arctic Fairbanks |
geographic_facet |
Arctic Fairbanks |
genre |
Arctic Japanese National Institute of Polar Research National Institute of Polar Research Alaska |
genre_facet |
Arctic Japanese National Institute of Polar Research National Institute of Polar Research Alaska |
op_source |
https://doi.org/10.17592/001.2023050101 |
op_relation |
https://pdr.repo.nii.ac.jp/?action=repository_uri&item_id=65 http://id.nii.ac.jp/1434/00000050/ https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=1 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=2 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=65&item_no=1&attribute_id=22&file_no=3 |
op_doi |
https://doi.org/10.17592/001.2023050101 |
_version_ |
1813445793157218304 |