Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions
The Arctic warming rate is triple the global average, which is partially caused by surface albedo feedback (SAF). Understanding the varying pattern of SAF and the mechanisms is therefore critical for predicting future Arctic climate under anthropogenic warming. To date, however, how the spatial patt...
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ftdoajarticles:oai:doaj.org/article:0e53ada949b14b04ad47295ef712d91a 2023-09-05T13:11:22+02:00 Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions Linfei Yu Guoyong Leng Andre Python 2022-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/ac4631 https://doaj.org/article/0e53ada949b14b04ad47295ef712d91a EN eng IOP Publishing https://doi.org/10.1088/1748-9326/ac4631 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/ac4631 1748-9326 https://doaj.org/article/0e53ada949b14b04ad47295ef712d91a Environmental Research Letters, Vol 17, Iss 1, p 014036 (2022) Arctic surface albedo feedback land warming interaction effects spatial heterogeneity Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2022 ftdoajarticles https://doi.org/10.1088/1748-9326/ac4631 2023-08-13T00:36:45Z The Arctic warming rate is triple the global average, which is partially caused by surface albedo feedback (SAF). Understanding the varying pattern of SAF and the mechanisms is therefore critical for predicting future Arctic climate under anthropogenic warming. To date, however, how the spatial pattern of seasonal SAF is influenced by various land surface factors remains unclear. Here, we aim to quantify the strengths of seasonal SAF across the Arctic and to attribute its spatial heterogeneity to the dynamics of vegetation, snow and soil as well as their interactions. The results show a large positive SAF above −5% K ^−1 across Baffin Island in January and eastern Yakutia in June, while a large negative SAF beyond 5% K ^−1 is observed in Canada, Chukotka and low latitudes of Greenland in January and Nunavut, Baffin Island and Krasnoyarsk Krai in July. Overall, a great spatial heterogeneity of Arctic land warming induced by positive SAF is found with a coefficient of variation (CV) larger than 61.5%, and the largest spatial difference is detected in wintertime with a CV > 643.9%. Based on the optimal parameter-based geographic detector model, the impacts of snow cover fraction (SCF), land cover type (LC), normalized difference vegetation index (NDVI), soil water content (SW), soil substrate chemistry (SC) and soil type (ST) on the spatial pattern of positive SAF are quantified. The rank of determinant power is SCF > LC > NDVI > SW > SC > ST, which indicates that the spatial patterns of snow cover, land cover and vegetation coverage dominate the spatial heterogeneity of positive SAF in the Arctic. The interactions between SCF, LC and SW exert further influences on the spatial pattern of positive SAF in March, June and July. This work could provide a deeper understanding of how various land factors contribute to the spatial heterogeneity of Arctic land warming at the annual cycle. Article in Journal/Newspaper albedo Arctic Baffin Island Baffin Chukotka Greenland Krasnoyarsk Krai Nunavut Yakutia Directory of Open Access Journals: DOAJ Articles Arctic Baffin Island Canada Greenland Nunavut Environmental Research Letters 17 1 014036 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic surface albedo feedback land warming interaction effects spatial heterogeneity Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
spellingShingle |
Arctic surface albedo feedback land warming interaction effects spatial heterogeneity Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 Linfei Yu Guoyong Leng Andre Python Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions |
topic_facet |
Arctic surface albedo feedback land warming interaction effects spatial heterogeneity Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
description |
The Arctic warming rate is triple the global average, which is partially caused by surface albedo feedback (SAF). Understanding the varying pattern of SAF and the mechanisms is therefore critical for predicting future Arctic climate under anthropogenic warming. To date, however, how the spatial pattern of seasonal SAF is influenced by various land surface factors remains unclear. Here, we aim to quantify the strengths of seasonal SAF across the Arctic and to attribute its spatial heterogeneity to the dynamics of vegetation, snow and soil as well as their interactions. The results show a large positive SAF above −5% K ^−1 across Baffin Island in January and eastern Yakutia in June, while a large negative SAF beyond 5% K ^−1 is observed in Canada, Chukotka and low latitudes of Greenland in January and Nunavut, Baffin Island and Krasnoyarsk Krai in July. Overall, a great spatial heterogeneity of Arctic land warming induced by positive SAF is found with a coefficient of variation (CV) larger than 61.5%, and the largest spatial difference is detected in wintertime with a CV > 643.9%. Based on the optimal parameter-based geographic detector model, the impacts of snow cover fraction (SCF), land cover type (LC), normalized difference vegetation index (NDVI), soil water content (SW), soil substrate chemistry (SC) and soil type (ST) on the spatial pattern of positive SAF are quantified. The rank of determinant power is SCF > LC > NDVI > SW > SC > ST, which indicates that the spatial patterns of snow cover, land cover and vegetation coverage dominate the spatial heterogeneity of positive SAF in the Arctic. The interactions between SCF, LC and SW exert further influences on the spatial pattern of positive SAF in March, June and July. This work could provide a deeper understanding of how various land factors contribute to the spatial heterogeneity of Arctic land warming at the annual cycle. |
format |
Article in Journal/Newspaper |
author |
Linfei Yu Guoyong Leng Andre Python |
author_facet |
Linfei Yu Guoyong Leng Andre Python |
author_sort |
Linfei Yu |
title |
Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions |
title_short |
Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions |
title_full |
Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions |
title_fullStr |
Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions |
title_full_unstemmed |
Attribution of the spatial heterogeneity of Arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions |
title_sort |
attribution of the spatial heterogeneity of arctic surface albedo feedback to the dynamics of vegetation, snow and soil properties and their interactions |
publisher |
IOP Publishing |
publishDate |
2022 |
url |
https://doi.org/10.1088/1748-9326/ac4631 https://doaj.org/article/0e53ada949b14b04ad47295ef712d91a |
geographic |
Arctic Baffin Island Canada Greenland Nunavut |
geographic_facet |
Arctic Baffin Island Canada Greenland Nunavut |
genre |
albedo Arctic Baffin Island Baffin Chukotka Greenland Krasnoyarsk Krai Nunavut Yakutia |
genre_facet |
albedo Arctic Baffin Island Baffin Chukotka Greenland Krasnoyarsk Krai Nunavut Yakutia |
op_source |
Environmental Research Letters, Vol 17, Iss 1, p 014036 (2022) |
op_relation |
https://doi.org/10.1088/1748-9326/ac4631 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/ac4631 1748-9326 https://doaj.org/article/0e53ada949b14b04ad47295ef712d91a |
op_doi |
https://doi.org/10.1088/1748-9326/ac4631 |
container_title |
Environmental Research Letters |
container_volume |
17 |
container_issue |
1 |
container_start_page |
014036 |
_version_ |
1776204745378103296 |