@article{Liu-2021-Interannual,
title = "Interannual and spatial variability of net ecosystem production in forests explained by an integrated physiological indicator in summer",
author = {Liu, Ying and
Wu, Chaoyang and
Liu, Lin and
Gu, Chengyan and
Black, T. Andrew and
Jassal, Rachhpal S. and
H{\"o}rtnagl, Lukas and
Montagnani, Leonardo and
Moyano, Fernando and
Varlagin, Andrej and
Arain, M. Altaf and
Govind, Ajit and
Liu, Ying and
Wu, Chaoyang and
Liu, Lin and
Gu, Chengyan and
Black, T. Andrew and
Jassal, Rachhpal S. and
H{\"o}rtnagl, Lukas and
Montagnani, Leonardo and
Moyano, Fernando and
Varlagin, Andrej and
Arain, M. Altaf and
Govind, Ajit},
journal = "Ecological Indicators, Volume 129",
volume = "129",
year = "2021",
publisher = "Elsevier BV",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G21-158001",
doi = "10.1016/j.ecolind.2021.107982",
pages = "107982",
abstract = "{\mbox{$\bullet$}} 514 sites-years of flux data were used to analyze the potential of physiological and phenological metrics in explaining the variability of forest NEP; {\mbox{$\bullet$}} Summer physiological metrics performed better than phenological metrics in explaining IAV of NEP; {\mbox{$\bullet$}} Ecosystem respiration played an important role in controlling the variability of NEP in forest ecosystem; {\mbox{$\bullet$}} MCUI exhibited a great potential in explaining both IAV and SV of NEP. Understanding the feedback of ecosystem carbon uptake on climate change at temporal and spatial scales is crucial for developing ecosystem models. Previous studies have focused on the role of spring and autumn phenology in regulating carbon sequestration in forest stands, but few on the impact of physiological status in summer. However, plant accumulated the most carbon in summer compared with spring and autumn, therefore, it is of great significance to explore the role of summer phenological metrics on the variability of carbon sequestration. Using 514 site-years of flux data obtained at 40 FLUXNET sites including three forest ecosystems (i.e. evergreen needleleaf forest (ENF), deciduous broadleaf forest (DBF) and mixed forest (MF)) in Europe and North America, we compared the potential of physiological and phenological metrics of Gross Primary Production (GPP) and Ecosystem Respiration (RECO) in explaining the interannual and spatial variability (IAV and SV) of forest net ecosystem production (NEP). In view of the better performance of physiological metrics, we developed the maximum carbon uptake index (MCUI), which integrated the physiology metrics of photosynthesis and respiration in summer, and further explored its ability in explaining the IAV and SV of NEP. The results suggest that the MCUI had a better ability than respiration-growth length ratio (RGR) in predicting NEP for all three forest types. The interpretation of MCUI based on meteorological variables illustrated that the controlling meteorological factors of MCUI differed substantially among ecosystems. The summer shortwave radiation had the greatest influence on MCUI at DBF sites, while the soil water content played an important but opposite role at ENF and DBF sites, and no significant meteorological driver was found at MF sites. The higher potential of MCUI in explaining IAV and SV of NEP highlights the importance of summer physiology in controlling the forest carbon sequestration, and further confirms the significant role of peak plant growth in regulating carbon cycle of forest ecosystems. Understanding the drivers of peak plant growth is therefore of a great significance for further improving the precious of ecosystem model in the future.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="Liu-2021-Interannual">
<titleInfo>
<title>Interannual and spatial variability of net ecosystem production in forests explained by an integrated physiological indicator in summer</title>
</titleInfo>
<name type="personal">
<namePart type="given">Ying</namePart>
<namePart type="family">Liu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Chaoyang</namePart>
<namePart type="family">Wu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Lin</namePart>
<namePart type="family">Liu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Chengyan</namePart>
<namePart type="family">Gu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">T</namePart>
<namePart type="given">Andrew</namePart>
<namePart type="family">Black</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Rachhpal</namePart>
<namePart type="given">S</namePart>
<namePart type="family">Jassal</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Lukas</namePart>
<namePart type="family">Hörtnagl</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Leonardo</namePart>
<namePart type="family">Montagnani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Fernando</namePart>
<namePart type="family">Moyano</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andrej</namePart>
<namePart type="family">Varlagin</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">M</namePart>
<namePart type="given">Altaf</namePart>
<namePart type="family">Arain</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ajit</namePart>
<namePart type="family">Govind</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2021</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Ecological Indicators, Volume 129</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>Elsevier BV</publisher>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>\bullet 514 sites-years of flux data were used to analyze the potential of physiological and phenological metrics in explaining the variability of forest NEP; \bullet Summer physiological metrics performed better than phenological metrics in explaining IAV of NEP; \bullet Ecosystem respiration played an important role in controlling the variability of NEP in forest ecosystem; \bullet MCUI exhibited a great potential in explaining both IAV and SV of NEP. Understanding the feedback of ecosystem carbon uptake on climate change at temporal and spatial scales is crucial for developing ecosystem models. Previous studies have focused on the role of spring and autumn phenology in regulating carbon sequestration in forest stands, but few on the impact of physiological status in summer. However, plant accumulated the most carbon in summer compared with spring and autumn, therefore, it is of great significance to explore the role of summer phenological metrics on the variability of carbon sequestration. Using 514 site-years of flux data obtained at 40 FLUXNET sites including three forest ecosystems (i.e. evergreen needleleaf forest (ENF), deciduous broadleaf forest (DBF) and mixed forest (MF)) in Europe and North America, we compared the potential of physiological and phenological metrics of Gross Primary Production (GPP) and Ecosystem Respiration (RECO) in explaining the interannual and spatial variability (IAV and SV) of forest net ecosystem production (NEP). In view of the better performance of physiological metrics, we developed the maximum carbon uptake index (MCUI), which integrated the physiology metrics of photosynthesis and respiration in summer, and further explored its ability in explaining the IAV and SV of NEP. The results suggest that the MCUI had a better ability than respiration-growth length ratio (RGR) in predicting NEP for all three forest types. The interpretation of MCUI based on meteorological variables illustrated that the controlling meteorological factors of MCUI differed substantially among ecosystems. The summer shortwave radiation had the greatest influence on MCUI at DBF sites, while the soil water content played an important but opposite role at ENF and DBF sites, and no significant meteorological driver was found at MF sites. The higher potential of MCUI in explaining IAV and SV of NEP highlights the importance of summer physiology in controlling the forest carbon sequestration, and further confirms the significant role of peak plant growth in regulating carbon cycle of forest ecosystems. Understanding the drivers of peak plant growth is therefore of a great significance for further improving the precious of ecosystem model in the future.</abstract>
<identifier type="citekey">Liu-2021-Interannual</identifier>
<identifier type="doi">10.1016/j.ecolind.2021.107982</identifier>
<location>
<url>https://gwf-uwaterloo.github.io/gwf-publications/G21-158001</url>
</location>
<part>
<date>2021</date>
<detail type="volume"><number>129</number></detail>
<detail type="page"><number>107982</number></detail>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T Interannual and spatial variability of net ecosystem production in forests explained by an integrated physiological indicator in summer
%A Liu, Ying
%A Wu, Chaoyang
%A Liu, Lin
%A Gu, Chengyan
%A Black, T. Andrew
%A Jassal, Rachhpal S.
%A Hörtnagl, Lukas
%A Montagnani, Leonardo
%A Moyano, Fernando
%A Varlagin, Andrej
%A Arain, M. Altaf
%A Govind, Ajit
%J Ecological Indicators, Volume 129
%D 2021
%V 129
%I Elsevier BV
%F Liu-2021-Interannual
%X \bullet 514 sites-years of flux data were used to analyze the potential of physiological and phenological metrics in explaining the variability of forest NEP; \bullet Summer physiological metrics performed better than phenological metrics in explaining IAV of NEP; \bullet Ecosystem respiration played an important role in controlling the variability of NEP in forest ecosystem; \bullet MCUI exhibited a great potential in explaining both IAV and SV of NEP. Understanding the feedback of ecosystem carbon uptake on climate change at temporal and spatial scales is crucial for developing ecosystem models. Previous studies have focused on the role of spring and autumn phenology in regulating carbon sequestration in forest stands, but few on the impact of physiological status in summer. However, plant accumulated the most carbon in summer compared with spring and autumn, therefore, it is of great significance to explore the role of summer phenological metrics on the variability of carbon sequestration. Using 514 site-years of flux data obtained at 40 FLUXNET sites including three forest ecosystems (i.e. evergreen needleleaf forest (ENF), deciduous broadleaf forest (DBF) and mixed forest (MF)) in Europe and North America, we compared the potential of physiological and phenological metrics of Gross Primary Production (GPP) and Ecosystem Respiration (RECO) in explaining the interannual and spatial variability (IAV and SV) of forest net ecosystem production (NEP). In view of the better performance of physiological metrics, we developed the maximum carbon uptake index (MCUI), which integrated the physiology metrics of photosynthesis and respiration in summer, and further explored its ability in explaining the IAV and SV of NEP. The results suggest that the MCUI had a better ability than respiration-growth length ratio (RGR) in predicting NEP for all three forest types. The interpretation of MCUI based on meteorological variables illustrated that the controlling meteorological factors of MCUI differed substantially among ecosystems. The summer shortwave radiation had the greatest influence on MCUI at DBF sites, while the soil water content played an important but opposite role at ENF and DBF sites, and no significant meteorological driver was found at MF sites. The higher potential of MCUI in explaining IAV and SV of NEP highlights the importance of summer physiology in controlling the forest carbon sequestration, and further confirms the significant role of peak plant growth in regulating carbon cycle of forest ecosystems. Understanding the drivers of peak plant growth is therefore of a great significance for further improving the precious of ecosystem model in the future.
%R 10.1016/j.ecolind.2021.107982
%U https://gwf-uwaterloo.github.io/gwf-publications/G21-158001
%U https://doi.org/10.1016/j.ecolind.2021.107982
%P 107982
Markdown (Informal)
[Interannual and spatial variability of net ecosystem production in forests explained by an integrated physiological indicator in summer](https://gwf-uwaterloo.github.io/gwf-publications/G21-158001) (Liu et al., GWF 2021)
ACL
- Ying Liu, Chaoyang Wu, Lin Liu, Chengyan Gu, T. Andrew Black, Rachhpal S. Jassal, Lukas Hörtnagl, Leonardo Montagnani, Fernando Moyano, Andrej Varlagin, M. Altaf Arain, Ajit Govind, Ying Liu, Chaoyang Wu, Lin Liu, Chengyan Gu, T. Andrew Black, Rachhpal S. Jassal, Lukas Hörtnagl, et al.. 2021. Interannual and spatial variability of net ecosystem production in forests explained by an integrated physiological indicator in summer. Ecological Indicators, Volume 129, 129:107982.
