Cargando…
New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave
Emerging new-generation geostationary satellites have broadened the scope for studying the diurnal cycle of ecosystem functions. We exploit observations from the Geostationary Operational Environmental Satellite-R series to examine the effect of a severe U.S. heatwave in 2020 on the diurnal variatio...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396307/ https://www.ncbi.nlm.nih.gov/pubmed/37531429 http://dx.doi.org/10.1126/sciadv.adi0775 |
_version_ | 1785083731701137408 |
---|---|
author | Li, Xing Ryu, Youngryel Xiao, Jingfeng Dechant, Benjamin Liu, Jiangong Li, Bolun Jeong, Sungchan Gentine, Pierre |
author_facet | Li, Xing Ryu, Youngryel Xiao, Jingfeng Dechant, Benjamin Liu, Jiangong Li, Bolun Jeong, Sungchan Gentine, Pierre |
author_sort | Li, Xing |
collection | PubMed |
description | Emerging new-generation geostationary satellites have broadened the scope for studying the diurnal cycle of ecosystem functions. We exploit observations from the Geostationary Operational Environmental Satellite-R series to examine the effect of a severe U.S. heatwave in 2020 on the diurnal variations of ecosystem photosynthesis. We find divergent responses of photosynthesis to the heatwave across vegetation types and aridity gradients, with drylands exhibiting widespread midday and afternoon depression in photosynthesis. The diurnal centroid and peak time of dryland gross primary production (GPP) substantially shift toward earlier morning times, reflecting notable water and heat stress. Our geostationary satellite-based method outperforms traditional radiation-based upscaling methods from polar-orbiting satellite snapshots in estimating daily GPP and GPP loss during heatwaves. These findings underscore the potential of geostationary satellites for diurnal photosynthesis monitoring and highlight the necessity to consider the increased diurnal asymmetry in GPP under stress when evaluating carbon-climate interactions. |
format | Online Article Text |
id | pubmed-10396307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103963072023-08-03 New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave Li, Xing Ryu, Youngryel Xiao, Jingfeng Dechant, Benjamin Liu, Jiangong Li, Bolun Jeong, Sungchan Gentine, Pierre Sci Adv Earth, Environmental, Ecological, and Space Sciences Emerging new-generation geostationary satellites have broadened the scope for studying the diurnal cycle of ecosystem functions. We exploit observations from the Geostationary Operational Environmental Satellite-R series to examine the effect of a severe U.S. heatwave in 2020 on the diurnal variations of ecosystem photosynthesis. We find divergent responses of photosynthesis to the heatwave across vegetation types and aridity gradients, with drylands exhibiting widespread midday and afternoon depression in photosynthesis. The diurnal centroid and peak time of dryland gross primary production (GPP) substantially shift toward earlier morning times, reflecting notable water and heat stress. Our geostationary satellite-based method outperforms traditional radiation-based upscaling methods from polar-orbiting satellite snapshots in estimating daily GPP and GPP loss during heatwaves. These findings underscore the potential of geostationary satellites for diurnal photosynthesis monitoring and highlight the necessity to consider the increased diurnal asymmetry in GPP under stress when evaluating carbon-climate interactions. American Association for the Advancement of Science 2023-08-02 /pmc/articles/PMC10396307/ /pubmed/37531429 http://dx.doi.org/10.1126/sciadv.adi0775 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Earth, Environmental, Ecological, and Space Sciences Li, Xing Ryu, Youngryel Xiao, Jingfeng Dechant, Benjamin Liu, Jiangong Li, Bolun Jeong, Sungchan Gentine, Pierre New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave |
title | New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave |
title_full | New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave |
title_fullStr | New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave |
title_full_unstemmed | New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave |
title_short | New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave |
title_sort | new-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western u.s. heatwave |
topic | Earth, Environmental, Ecological, and Space Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396307/ https://www.ncbi.nlm.nih.gov/pubmed/37531429 http://dx.doi.org/10.1126/sciadv.adi0775 |
work_keys_str_mv | AT lixing newgenerationgeostationarysatelliterevealswidespreadmiddaydepressionindrylandphotosynthesisduring2020westernusheatwave AT ryuyoungryel newgenerationgeostationarysatelliterevealswidespreadmiddaydepressionindrylandphotosynthesisduring2020westernusheatwave AT xiaojingfeng newgenerationgeostationarysatelliterevealswidespreadmiddaydepressionindrylandphotosynthesisduring2020westernusheatwave AT dechantbenjamin newgenerationgeostationarysatelliterevealswidespreadmiddaydepressionindrylandphotosynthesisduring2020westernusheatwave AT liujiangong newgenerationgeostationarysatelliterevealswidespreadmiddaydepressionindrylandphotosynthesisduring2020westernusheatwave AT libolun newgenerationgeostationarysatelliterevealswidespreadmiddaydepressionindrylandphotosynthesisduring2020westernusheatwave AT jeongsungchan newgenerationgeostationarysatelliterevealswidespreadmiddaydepressionindrylandphotosynthesisduring2020westernusheatwave AT gentinepierre newgenerationgeostationarysatelliterevealswidespreadmiddaydepressionindrylandphotosynthesisduring2020westernusheatwave |