Reducing model uncertainty of climate change impacts on high latitude carbon assimilation
Abstract The Arctic–Boreal Region (ABR) has a large impact on global vegetation–atmosphere interactions and is experiencing markedly greater warming than the rest of the planet, a trend that is projected to continue with anticipated future emissions of CO 2 . The ABR is a significant source of uncer...
Published in: | Global Change Biology |
---|---|
Main Authors: | , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2021
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/am-pdf/10.1111/gcb.15958 |
id |
crwiley:10.1111/gcb.15958 |
---|---|
record_format |
openpolar |
spelling |
crwiley:10.1111/gcb.15958 2024-09-15T18:02:12+00:00 Reducing model uncertainty of climate change impacts on high latitude carbon assimilation Rogers, Alistair Serbin, Shawn P. Way, Danielle A. Natural Sciences and Engineering Research Council of Canada 2021 http://dx.doi.org/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/am-pdf/10.1111/gcb.15958 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#am http://onlinelibrary.wiley.com/termsAndConditions#vor Global Change Biology volume 28, issue 4, page 1222-1247 ISSN 1354-1013 1365-2486 journal-article 2021 crwiley https://doi.org/10.1111/gcb.15958 2024-08-30T04:11:19Z Abstract The Arctic–Boreal Region (ABR) has a large impact on global vegetation–atmosphere interactions and is experiencing markedly greater warming than the rest of the planet, a trend that is projected to continue with anticipated future emissions of CO 2 . The ABR is a significant source of uncertainty in estimates of carbon uptake in terrestrial biosphere models such that reducing this uncertainty is critical for more accurately estimating global carbon cycling and understanding the response of the region to global change. Process representation and parameterization associated with gross primary productivity (GPP) drives a large amount of this model uncertainty, particularly within the next 50 years, where the response of existing vegetation to climate change will dominate estimates of GPP for the region. Here we review our current understanding and model representation of GPP in northern latitudes, focusing on vegetation composition, phenology, and physiology, and consider how climate change alters these three components. We highlight challenges in the ABR for predicting GPP, but also focus on the unique opportunities for advancing knowledge and model representation, particularly through the combination of remote sensing and traditional boots‐on‐the‐ground science. Article in Journal/Newspaper Climate change Wiley Online Library Global Change Biology 28 4 1222 1247 |
institution |
Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
description |
Abstract The Arctic–Boreal Region (ABR) has a large impact on global vegetation–atmosphere interactions and is experiencing markedly greater warming than the rest of the planet, a trend that is projected to continue with anticipated future emissions of CO 2 . The ABR is a significant source of uncertainty in estimates of carbon uptake in terrestrial biosphere models such that reducing this uncertainty is critical for more accurately estimating global carbon cycling and understanding the response of the region to global change. Process representation and parameterization associated with gross primary productivity (GPP) drives a large amount of this model uncertainty, particularly within the next 50 years, where the response of existing vegetation to climate change will dominate estimates of GPP for the region. Here we review our current understanding and model representation of GPP in northern latitudes, focusing on vegetation composition, phenology, and physiology, and consider how climate change alters these three components. We highlight challenges in the ABR for predicting GPP, but also focus on the unique opportunities for advancing knowledge and model representation, particularly through the combination of remote sensing and traditional boots‐on‐the‐ground science. |
author2 |
Natural Sciences and Engineering Research Council of Canada |
format |
Article in Journal/Newspaper |
author |
Rogers, Alistair Serbin, Shawn P. Way, Danielle A. |
spellingShingle |
Rogers, Alistair Serbin, Shawn P. Way, Danielle A. Reducing model uncertainty of climate change impacts on high latitude carbon assimilation |
author_facet |
Rogers, Alistair Serbin, Shawn P. Way, Danielle A. |
author_sort |
Rogers, Alistair |
title |
Reducing model uncertainty of climate change impacts on high latitude carbon assimilation |
title_short |
Reducing model uncertainty of climate change impacts on high latitude carbon assimilation |
title_full |
Reducing model uncertainty of climate change impacts on high latitude carbon assimilation |
title_fullStr |
Reducing model uncertainty of climate change impacts on high latitude carbon assimilation |
title_full_unstemmed |
Reducing model uncertainty of climate change impacts on high latitude carbon assimilation |
title_sort |
reducing model uncertainty of climate change impacts on high latitude carbon assimilation |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/gcb.15958 https://onlinelibrary.wiley.com/doi/am-pdf/10.1111/gcb.15958 |
genre |
Climate change |
genre_facet |
Climate change |
op_source |
Global Change Biology volume 28, issue 4, page 1222-1247 ISSN 1354-1013 1365-2486 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#am http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/gcb.15958 |
container_title |
Global Change Biology |
container_volume |
28 |
container_issue |
4 |
container_start_page |
1222 |
op_container_end_page |
1247 |
_version_ |
1810439615243354112 |