Climate impact on mean annual cycle and interannual variability of CO <sub>2</sub> fluxes in European deciduous broadleaf and evergreen needleleaf forests: insights from observations and state-of-the-art data-driven and process-based models

Abstract. The impact of climate on the annual cycle and interannual variability of CO2 fluxes is assessed in European evergreen needleleaf forests (ENFs) and deciduous broadleaf forests (DBFs) using observations from 19 sites, alongside outputs from process-based and data-driven models. All models capture the temporal phasing of CO2 fluxes, including a shorter sequestration period in northern rather than southern Europe, a more pronounced annual cycle for DBFs than for ENFs in central Europe and strong interannual variability across sites. However, they generally underestimate both the magnitude of CO2 sequestration and its interannual variability compared to observations. Regarding the annual cycle, all datasets indicate enhanced CO2 uptake from late spring to early fall, with a stronger climate–CO2 flux coupling in northern and central Europe than in southern Europe, where seasonality is less pronounced. At the interannual timescale, the climate does not show a significant influence on observed and modelled net ecosystem exchange (NEE) when correlations are computed using monthly anomalies across all months combined. This apparent lack of relationship conceals meaningful seasonal patterns. In winter and fall, NEE tends to be positively correlated with temperature, soil moisture and vapour pressure deficit (VPD). In spring, NEE shows negative correlations with temperature and VPD but a positive correlation with soil moisture. The summer pattern is reversed compared to the spring pattern. In the observations, these relationships are noisy in both time and space, suggesting strong site-specific effects. In contrast, the models exhibit more structured and spatially coherent patterns with strong correlations, which may reflect an exaggerated response to climate forcing despite underestimated magnitude in CO2 flux interannual variability.

Authors

Institutions

Publication Details

Journal
Biogeosciences
Published
2025-08-26
DOI
https://doi.org/10.5194/bg-22-4135-2025
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Climate impact on mean annual cycle and interannual variability of CO 2 fluxes in European deciduous broadleaf and evergreen needleleaf forests: insights from observations and state-of-the-art data-driven and process-based models

Andrey Dara, John S. Kimball, Mathieu Thévenot, Robert Granat et al.
Biogeosciences
Forest ecology and management
article

Climate impact on mean annual cycle and interannual variability of CO 2 fluxes in European deciduous broadleaf and evergreen needleleaf forests: insights from observations and state-of-the-art data-driven and process-based models

Andrey Dara, John S. Kimball, Mathieu Thévenot, Robert Granat, Olivier Mathieu, Zhendong Wu, Clément Bonnefoy‐Claudet, Asmat Ullah, Julien Crétat, Jean Cacot, Gaïa Michel, Julianne Capelle
article en

Abstract

Abstract. The impact of climate on the annual cycle and interannual variability of CO2 fluxes is assessed in European evergreen needleleaf forests (ENFs) and deciduous broadleaf forests (DBFs) using observations from 19 sites, alongside outputs from process-based and data-driven models. All models capture the temporal phasing of CO2 fluxes, including a shorter sequestration period in northern rather than southern Europe, a more pronounced annual cycle for DBFs than for ENFs in central Europe and strong interannual variability across sites. However, they generally underestimate both the magnitude of CO2 sequestration and its interannual variability compared to observations. Regarding the annual cycle, all datasets indicate enhanced CO2 uptake from late spring to early fall, with a stronger climate–CO2 flux coupling in northern and central Europe than in southern Europe, where seasonality is less pronounced. At the interannual timescale, the climate does not show a significant influence on observed and modelled net ecosystem exchange (NEE) when correlations are computed using monthly anomalies across all months combined. This apparent lack of relationship conceals meaningful seasonal patterns. In winter and fall, NEE tends to be positively correlated with temperature, soil moisture and vapour pressure deficit (VPD). In spring, NEE shows negative correlations with temperature and VPD but a positive correlation with soil moisture. The summer pattern is reversed compared to the spring pattern. In the observations, these relationships are noisy in both time and space, suggesting strong site-specific effects. In contrast, the models exhibit more structured and spatially coherent patterns with strong correlations, which may reflect an exaggerated response to climate forcing despite underestimated magnitude in CO2 flux interannual variability.

BiogeosciencesVol. 22(16)
Centre National de la Recherche Scientifique (FR), Lund University (SE), AgroParisTech (FR), Glenn Research Center (US), Biogéosciences (FR), Université Bourgogne Europe (FR), University of Montana (US)
Agence Nationale de la Recherche
Openalex Percentile: Top 78%
Forest ecology and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.