Open Access
Open access
volume 13 issue 7 pages 1019

Response of Spruce Forest Ecosystem CO2 Fluxes to Inter-Annual Climate Anomalies in the Southern Taiga

Publication typeJournal Article
Publication date2022-06-29
scimago Q1
wos Q2
SJR0.600
CiteScore4.6
Impact factor2.5
ISSN19994907
Forestry
Abstract

Climate extremes and anomalies modify the CO2 ecosystem–atmosphere exchange of the boreal forests and consequently alter the terrestrial carbon stocks and the atmospheric greenhouse gas concentrations. The effects of the anomalous weather conditions on the CO2 net ecosystem exchange (NEE), total ecosystem respiration (TER), and gross primary production (GPP) of the typical southern taiga nemorose spruce forest were analyzed using continuous eddy covariance flux measurements in the 2015–2020 period. The forest was found to be a source of atmospheric CO2 in 2016, 2017, 2019, and 2020 (the mean annual GPP/TER ratio was between 0.87 and 0.97). In 2018, the forest was found to act as a CO2 sink (GPP/TER = 1.47) when a positive temperature anomaly in the growing season was accompanied by a negative precipitation anomaly and increased global radiation. The early start of the CO2 uptake in the anomalously warm winter of 2019/2020 did not result in an increase in the annual GPP/TER ratio (0.90). The comparison of the flux data obtained from the nemorose spruce forest on the well-drained soils with the data obtained from paludified spruce forest in the same landscape showed that the mean annual GPP/TER ratio of the sites alternatively responded to the mentioned anomalies. This study suggests that a variety of soil moisture regimes across the southern taiga spruce forests provide a non-uniformity in the response reactions of the CO2 ecosystem–atmosphere exchange on the climate anomalies.

Found 
Found 

Top-30

Journals

1
2
Forests
2 publications, 25%
Climate
1 publication, 12.5%
Trees - Structure and Function
1 publication, 12.5%
Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya
1 publication, 12.5%
Applied Sciences (Switzerland)
1 publication, 12.5%
Frontiers in Environmental Science
1 publication, 12.5%
Agricultural and Forest Meteorology
1 publication, 12.5%
1
2

Publishers

1
2
3
4
MDPI
4 publications, 50%
Springer Nature
1 publication, 12.5%
The Russian Academy of Sciences
1 publication, 12.5%
Frontiers Media S.A.
1 publication, 12.5%
Elsevier
1 publication, 12.5%
1
2
3
4
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
8
Share
Cite this
GOST |
Cite this
GOST Copy
Mamkin V. et al. Response of Spruce Forest Ecosystem CO2 Fluxes to Inter-Annual Climate Anomalies in the Southern Taiga // Forests. 2022. Vol. 13. No. 7. p. 1019.
GOST all authors (up to 50) Copy
Mamkin V., Varlagin A., Yaseneva I., Kurbatova J. Response of Spruce Forest Ecosystem CO2 Fluxes to Inter-Annual Climate Anomalies in the Southern Taiga // Forests. 2022. Vol. 13. No. 7. p. 1019.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.3390/f13071019
UR - https://www.mdpi.com/1999-4907/13/7/1019
TI - Response of Spruce Forest Ecosystem CO2 Fluxes to Inter-Annual Climate Anomalies in the Southern Taiga
T2 - Forests
AU - Mamkin, Vadim
AU - Varlagin, Andrej
AU - Yaseneva, Irina
AU - Kurbatova, J.
PY - 2022
DA - 2022/06/29
PB - MDPI
SP - 1019
IS - 7
VL - 13
SN - 1999-4907
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Mamkin,
author = {Vadim Mamkin and Andrej Varlagin and Irina Yaseneva and J. Kurbatova},
title = {Response of Spruce Forest Ecosystem CO2 Fluxes to Inter-Annual Climate Anomalies in the Southern Taiga},
journal = {Forests},
year = {2022},
volume = {13},
publisher = {MDPI},
month = {jun},
url = {https://www.mdpi.com/1999-4907/13/7/1019},
number = {7},
pages = {1019},
doi = {10.3390/f13071019}
}
MLA
Cite this
MLA Copy
Mamkin, Vadim, et al. “Response of Spruce Forest Ecosystem CO2 Fluxes to Inter-Annual Climate Anomalies in the Southern Taiga.” Forests, vol. 13, no. 7, Jun. 2022, p. 1019. https://www.mdpi.com/1999-4907/13/7/1019.