Multi-year lags between forest browning and soil respiration at high northern latitudes.
High-latitude northern ecosystems are experiencing rapid climate changes, and represent a large potential climate feedback because of their high soil carbon densities and shifting disturbance regimes. A significant carbon flow from these ecosystems is soil respiration (R(S), the flow of carbon dioxi...
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ftdoajarticles:oai:doaj.org/article:942b0d182c25472ea1b0daafb2eb1aec 2023-05-15T15:12:13+02:00 Multi-year lags between forest browning and soil respiration at high northern latitudes. Ben Bond-Lamberty Andrew G Bunn Allison M Thomson 2012-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0050441 https://doaj.org/article/942b0d182c25472ea1b0daafb2eb1aec EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC3506603?pdf=render https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0050441 https://doaj.org/article/942b0d182c25472ea1b0daafb2eb1aec PLoS ONE, Vol 7, Iss 11, p e50441 (2012) Medicine R Science Q article 2012 ftdoajarticles https://doi.org/10.1371/journal.pone.0050441 2022-12-31T13:19:32Z High-latitude northern ecosystems are experiencing rapid climate changes, and represent a large potential climate feedback because of their high soil carbon densities and shifting disturbance regimes. A significant carbon flow from these ecosystems is soil respiration (R(S), the flow of carbon dioxide, generated by plant roots and soil fauna, from the soil surface to atmosphere), and any change in the high-latitude carbon cycle might thus be reflected in R(S) observed in the field. This study used two variants of a machine-learning algorithm and least squares regression to examine how remotely-sensed canopy greenness (NDVI), climate, and other variables are coupled to annual R(S) based on 105 observations from 64 circumpolar sites in a global database. The addition of NDVI roughly doubled model performance, with the best-performing models explaining ∼62% of observed R(S) variability. We show that early-summer NDVI from previous years is generally the best single predictor of R(S), and is better than current-year temperature or moisture. This implies significant temporal lags between these variables, with multi-year carbon pools exerting large-scale effects. Areas of decreasing R(S) are spatially correlated with browning boreal forests and warmer temperatures, particularly in western North America. We suggest that total circumpolar R(S) may have slowed by ∼5% over the last decade, depressed by forest stress and mortality, which in turn decrease R(S). Arctic tundra may exhibit a significantly different response, but few data are available with which to test this. Combining large-scale remote observations and small-scale field measurements, as done here, has the potential to allow inferences about the temporal and spatial complexity of the large-scale response of northern ecosystems to changing climate. Article in Journal/Newspaper Arctic Tundra Directory of Open Access Journals: DOAJ Articles Arctic Browning ENVELOPE(164.050,164.050,-74.617,-74.617) PLoS ONE 7 11 e50441 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Ben Bond-Lamberty Andrew G Bunn Allison M Thomson Multi-year lags between forest browning and soil respiration at high northern latitudes. |
topic_facet |
Medicine R Science Q |
description |
High-latitude northern ecosystems are experiencing rapid climate changes, and represent a large potential climate feedback because of their high soil carbon densities and shifting disturbance regimes. A significant carbon flow from these ecosystems is soil respiration (R(S), the flow of carbon dioxide, generated by plant roots and soil fauna, from the soil surface to atmosphere), and any change in the high-latitude carbon cycle might thus be reflected in R(S) observed in the field. This study used two variants of a machine-learning algorithm and least squares regression to examine how remotely-sensed canopy greenness (NDVI), climate, and other variables are coupled to annual R(S) based on 105 observations from 64 circumpolar sites in a global database. The addition of NDVI roughly doubled model performance, with the best-performing models explaining ∼62% of observed R(S) variability. We show that early-summer NDVI from previous years is generally the best single predictor of R(S), and is better than current-year temperature or moisture. This implies significant temporal lags between these variables, with multi-year carbon pools exerting large-scale effects. Areas of decreasing R(S) are spatially correlated with browning boreal forests and warmer temperatures, particularly in western North America. We suggest that total circumpolar R(S) may have slowed by ∼5% over the last decade, depressed by forest stress and mortality, which in turn decrease R(S). Arctic tundra may exhibit a significantly different response, but few data are available with which to test this. Combining large-scale remote observations and small-scale field measurements, as done here, has the potential to allow inferences about the temporal and spatial complexity of the large-scale response of northern ecosystems to changing climate. |
format |
Article in Journal/Newspaper |
author |
Ben Bond-Lamberty Andrew G Bunn Allison M Thomson |
author_facet |
Ben Bond-Lamberty Andrew G Bunn Allison M Thomson |
author_sort |
Ben Bond-Lamberty |
title |
Multi-year lags between forest browning and soil respiration at high northern latitudes. |
title_short |
Multi-year lags between forest browning and soil respiration at high northern latitudes. |
title_full |
Multi-year lags between forest browning and soil respiration at high northern latitudes. |
title_fullStr |
Multi-year lags between forest browning and soil respiration at high northern latitudes. |
title_full_unstemmed |
Multi-year lags between forest browning and soil respiration at high northern latitudes. |
title_sort |
multi-year lags between forest browning and soil respiration at high northern latitudes. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2012 |
url |
https://doi.org/10.1371/journal.pone.0050441 https://doaj.org/article/942b0d182c25472ea1b0daafb2eb1aec |
long_lat |
ENVELOPE(164.050,164.050,-74.617,-74.617) |
geographic |
Arctic Browning |
geographic_facet |
Arctic Browning |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
PLoS ONE, Vol 7, Iss 11, p e50441 (2012) |
op_relation |
http://europepmc.org/articles/PMC3506603?pdf=render https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0050441 https://doaj.org/article/942b0d182c25472ea1b0daafb2eb1aec |
op_doi |
https://doi.org/10.1371/journal.pone.0050441 |
container_title |
PLoS ONE |
container_volume |
7 |
container_issue |
11 |
container_start_page |
e50441 |
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