Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types
Temperature is a dominant factor driving arctic and boreal ecosystem phenology, including leaf budburst and gross primary production (GPP) onset in Alaskan spring. Previous studies hypothesized that both accumulated growing degree day (GDD) and cold temperature (chilling) exposure are important to l...
Published in: | Environmental Research Letters |
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Language: | English |
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2020
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Online Access: | https://doi.org/10.1088/1748-9326/ab6502 |
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ftncar:oai:drupal-site.org:articles_23228 2024-04-14T08:08:11+00:00 Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types Shi, Mingjie (author) Parazoo, Nicholas C (author) Jeong, Su-Jong (author) Birch, Leah (author) Lawrence, Peter (author) Euskirchen, Eugenie S (author) Miller, Charles E (author) 2020-02-07 https://doi.org/10.1088/1748-9326/ab6502 en eng Environmental Research Letters--Environ. Res. Lett.--1748-9326 CARVE Modeled Gross Ecosystem CO2 Exchange and Respiration, Alaska, 2012-2014--10.3334/ORNLDAAC/1314 articles:23228 ark:/85065/d71n84b5 doi:10.1088/1748-9326/ab6502 Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. article Text 2020 ftncar https://doi.org/10.1088/1748-9326/ab6502 2024-03-21T18:00:26Z Temperature is a dominant factor driving arctic and boreal ecosystem phenology, including leaf budburst and gross primary production (GPP) onset in Alaskan spring. Previous studies hypothesized that both accumulated growing degree day (GDD) and cold temperature (chilling) exposure are important to leaf budburst. We test this hypothesis by combining both satellite and aircraft vegetation measurements with the Community Land Model Version 4.5 (CLM), in which the end of plant dormancy depends on thermal conditions (i.e. GDD). We study the sensitivity of GPP onset of different Alaskan deciduous vegetation types to a GDD model with chilling requirement (GC model) included. The default CLM simulations have a 1-12 d earlier day of year GPP onset over Alaska vegetated regions compared to satellite constrained estimates from the Polar Vegetation Photosynthesis and Respiration Model. Integrating a GC model into CLM shifts the phase and amplitude of GPP. During 2007-2016, mean GPP onset is postponed by 5 +/- 7, 4 +/- 8, and 1 +/- 6 d over Alaskan northern tundra, shrub, and forest, respectively. The GC model has the greatest impact during warm springs, which is critical for predicting phenology response to future warming. Overall, spring GPP high bias is reduced by 10%. Thus, including chilling requirement in thermal forcing models improves northern high-latitude phenology, but leads to other impacts during the growing season which require further investigation. Article in Journal/Newspaper Arctic Tundra Alaska OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Arctic Environmental Research Letters 15 2 025006 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
Temperature is a dominant factor driving arctic and boreal ecosystem phenology, including leaf budburst and gross primary production (GPP) onset in Alaskan spring. Previous studies hypothesized that both accumulated growing degree day (GDD) and cold temperature (chilling) exposure are important to leaf budburst. We test this hypothesis by combining both satellite and aircraft vegetation measurements with the Community Land Model Version 4.5 (CLM), in which the end of plant dormancy depends on thermal conditions (i.e. GDD). We study the sensitivity of GPP onset of different Alaskan deciduous vegetation types to a GDD model with chilling requirement (GC model) included. The default CLM simulations have a 1-12 d earlier day of year GPP onset over Alaska vegetated regions compared to satellite constrained estimates from the Polar Vegetation Photosynthesis and Respiration Model. Integrating a GC model into CLM shifts the phase and amplitude of GPP. During 2007-2016, mean GPP onset is postponed by 5 +/- 7, 4 +/- 8, and 1 +/- 6 d over Alaskan northern tundra, shrub, and forest, respectively. The GC model has the greatest impact during warm springs, which is critical for predicting phenology response to future warming. Overall, spring GPP high bias is reduced by 10%. Thus, including chilling requirement in thermal forcing models improves northern high-latitude phenology, but leads to other impacts during the growing season which require further investigation. |
author2 |
Shi, Mingjie (author) Parazoo, Nicholas C (author) Jeong, Su-Jong (author) Birch, Leah (author) Lawrence, Peter (author) Euskirchen, Eugenie S (author) Miller, Charles E (author) |
format |
Article in Journal/Newspaper |
title |
Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types |
spellingShingle |
Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types |
title_short |
Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types |
title_full |
Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types |
title_fullStr |
Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types |
title_full_unstemmed |
Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types |
title_sort |
exposure to cold temperature affects the spring phenology of alaskan deciduous vegetation types |
publishDate |
2020 |
url |
https://doi.org/10.1088/1748-9326/ab6502 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra Alaska |
genre_facet |
Arctic Tundra Alaska |
op_relation |
Environmental Research Letters--Environ. Res. Lett.--1748-9326 CARVE Modeled Gross Ecosystem CO2 Exchange and Respiration, Alaska, 2012-2014--10.3334/ORNLDAAC/1314 articles:23228 ark:/85065/d71n84b5 doi:10.1088/1748-9326/ab6502 |
op_rights |
Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
op_doi |
https://doi.org/10.1088/1748-9326/ab6502 |
container_title |
Environmental Research Letters |
container_volume |
15 |
container_issue |
2 |
container_start_page |
025006 |
_version_ |
1796305612366151680 |