Climate change is enforcing physiological changes in Arctic Ecosystems

Abstract Remote sensing and site-level observations have shown unprecedented changes in Arctic ecosystems owing to climate warming. These observations include greening and browning trends in Arctic vegetation as well as changes in species composition both in the tundra and the boreal forests. Here,...

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Published in:Environmental Research Letters
Main Authors: Madani, Nima, Parazoo, Nicholas C, Miller, Charles E
Other Authors: National Aeronautics and Space Administration
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2023
Subjects:
Online Access:http://dx.doi.org/10.1088/1748-9326/acde92
https://iopscience.iop.org/article/10.1088/1748-9326/acde92
https://iopscience.iop.org/article/10.1088/1748-9326/acde92/pdf
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spelling crioppubl:10.1088/1748-9326/acde92 2024-09-15T18:02:10+00:00 Climate change is enforcing physiological changes in Arctic Ecosystems Madani, Nima Parazoo, Nicholas C Miller, Charles E National Aeronautics and Space Administration 2023 http://dx.doi.org/10.1088/1748-9326/acde92 https://iopscience.iop.org/article/10.1088/1748-9326/acde92 https://iopscience.iop.org/article/10.1088/1748-9326/acde92/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 18, issue 7, page 074027 ISSN 1748-9326 journal-article 2023 crioppubl https://doi.org/10.1088/1748-9326/acde92 2024-08-19T04:15:27Z Abstract Remote sensing and site-level observations have shown unprecedented changes in Arctic ecosystems owing to climate warming. These observations include greening and browning trends in Arctic vegetation as well as changes in species composition both in the tundra and the boreal forests. Here, we leveraged solar induced chlorophyll fluorescence (SIF) to study changes in ecosystem phenology across the pan-Arctic domain from 2000 to 2020. Ecoregions, as a proxy for plants’ functional traits, were the single most important variable to explain the spatial and phenological heterogeneity in observed SIF trends. We observed unique regional trends in ecosystems responses to climate change affecting the timing of spring photosynthesis onset, magnitude of peak productivity during the growing season (GS) and fall senescence. While, Photosynthetic activity in the early GS showed increasing trends across the vast majority of the pan-Arctic, it tends to decline at the end of the season for nearly half of the land area, including parts of North America but more significantly in central Siberia. The observed changes in phenology highlight the role of biodiversity in regional climate sensitivity and emphasizes the need for better representations of sub-biomes to community level information in Arctic ecosystem process models and projections. These results also highlight the importance of phenology information in ecosystem models for better understanding of the timing and magnitude of carbon uptake in the Arctic domain with accelerated changes in climate. Article in Journal/Newspaper Climate change Tundra Siberia IOP Publishing Environmental Research Letters 18 7 074027
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract Remote sensing and site-level observations have shown unprecedented changes in Arctic ecosystems owing to climate warming. These observations include greening and browning trends in Arctic vegetation as well as changes in species composition both in the tundra and the boreal forests. Here, we leveraged solar induced chlorophyll fluorescence (SIF) to study changes in ecosystem phenology across the pan-Arctic domain from 2000 to 2020. Ecoregions, as a proxy for plants’ functional traits, were the single most important variable to explain the spatial and phenological heterogeneity in observed SIF trends. We observed unique regional trends in ecosystems responses to climate change affecting the timing of spring photosynthesis onset, magnitude of peak productivity during the growing season (GS) and fall senescence. While, Photosynthetic activity in the early GS showed increasing trends across the vast majority of the pan-Arctic, it tends to decline at the end of the season for nearly half of the land area, including parts of North America but more significantly in central Siberia. The observed changes in phenology highlight the role of biodiversity in regional climate sensitivity and emphasizes the need for better representations of sub-biomes to community level information in Arctic ecosystem process models and projections. These results also highlight the importance of phenology information in ecosystem models for better understanding of the timing and magnitude of carbon uptake in the Arctic domain with accelerated changes in climate.
author2 National Aeronautics and Space Administration
format Article in Journal/Newspaper
author Madani, Nima
Parazoo, Nicholas C
Miller, Charles E
spellingShingle Madani, Nima
Parazoo, Nicholas C
Miller, Charles E
Climate change is enforcing physiological changes in Arctic Ecosystems
author_facet Madani, Nima
Parazoo, Nicholas C
Miller, Charles E
author_sort Madani, Nima
title Climate change is enforcing physiological changes in Arctic Ecosystems
title_short Climate change is enforcing physiological changes in Arctic Ecosystems
title_full Climate change is enforcing physiological changes in Arctic Ecosystems
title_fullStr Climate change is enforcing physiological changes in Arctic Ecosystems
title_full_unstemmed Climate change is enforcing physiological changes in Arctic Ecosystems
title_sort climate change is enforcing physiological changes in arctic ecosystems
publisher IOP Publishing
publishDate 2023
url http://dx.doi.org/10.1088/1748-9326/acde92
https://iopscience.iop.org/article/10.1088/1748-9326/acde92
https://iopscience.iop.org/article/10.1088/1748-9326/acde92/pdf
genre Climate change
Tundra
Siberia
genre_facet Climate change
Tundra
Siberia
op_source Environmental Research Letters
volume 18, issue 7, page 074027
ISSN 1748-9326
op_rights http://creativecommons.org/licenses/by/4.0
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1748-9326/acde92
container_title Environmental Research Letters
container_volume 18
container_issue 7
container_start_page 074027
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