Plant responses to decadal scale increments in atmospheric CO2 concentration: comparing two stomatal conductance sampling methods.
Identifieur interne : 000203 ( Main/Exploration ); précédent : 000202; suivant : 000204Plant responses to decadal scale increments in atmospheric CO2 concentration: comparing two stomatal conductance sampling methods.
Auteurs : Sven Peter Batke [Royaume-Uni] ; Charilaos Yiotis [Irlande (pays)] ; Caroline Elliott-Kingston [Irlande (pays)] ; Aidan Holohan [Irlande (pays)] ; Jennifer Mcelwain [Irlande (pays)]Source :
- Planta [ 1432-2048 ] ; 2020.
Descripteurs français
- KwdFr :
- Analyse de régression (MeSH), Atmosphère (composition chimique), Dioxyde de carbone (pharmacologie), Lumière (MeSH), Physiologie (méthodes), Rayons infrarouges (MeSH), Rythme circadien (effets des médicaments et des substances chimiques), Rythme circadien (effets des radiations), Stomates de plante (effets des médicaments et des substances chimiques), Stomates de plante (effets des radiations), Stomates de plante (physiologie).
- MESH :
- composition chimique : Atmosphère.
- effets des médicaments et des substances chimiques : Rythme circadien, Stomates de plante.
- effets des radiations : Rythme circadien, Stomates de plante.
- méthodes : Physiologie.
- pharmacologie : Dioxyde de carbone.
- physiologie : Stomates de plante.
- Analyse de régression, Lumière, Rayons infrarouges.
English descriptors
- KwdEn :
- Atmosphere (chemistry), Carbon Dioxide (pharmacology), Circadian Rhythm (drug effects), Circadian Rhythm (radiation effects), Infrared Rays (MeSH), Light (MeSH), Physiology (methods), Plant Stomata (drug effects), Plant Stomata (physiology), Plant Stomata (radiation effects), Regression Analysis (MeSH).
- MESH :
- chemical , pharmacology : Carbon Dioxide.
- chemistry : Atmosphere.
- drug effects : Circadian Rhythm, Plant Stomata.
- methods : Physiology.
- physiology : Plant Stomata.
- radiation effects : Circadian Rhythm, Plant Stomata.
- Infrared Rays, Light, Regression Analysis.
Abstract
MAIN CONCLUSION
Our study demonstrated that the species respond non-linearly to increases in CO
DOI: 10.1007/s00425-020-03343-z
PubMed: 31950281
PubMed Central: PMC6965045
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Circadian Rhythm (drug effects)</term>
<term>Circadian Rhythm (radiation effects)</term>
<term>Infrared Rays (MeSH)</term>
<term>Light (MeSH)</term>
<term>Physiology (methods)</term>
<term>Plant Stomata (drug effects)</term>
<term>Plant Stomata (physiology)</term>
<term>Plant Stomata (radiation effects)</term>
<term>Regression Analysis (MeSH)</term>
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<term>Atmosphère (composition chimique)</term>
<term>Dioxyde de carbone (pharmacologie)</term>
<term>Lumière (MeSH)</term>
<term>Physiologie (méthodes)</term>
<term>Rayons infrarouges (MeSH)</term>
<term>Rythme circadien (effets des médicaments et des substances chimiques)</term>
<term>Rythme circadien (effets des radiations)</term>
<term>Stomates de plante (effets des médicaments et des substances chimiques)</term>
<term>Stomates de plante (effets des radiations)</term>
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<keywords scheme="MESH" qualifier="drug effects" xml:lang="en"><term>Circadian Rhythm</term>
<term>Plant Stomata</term>
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<keywords scheme="MESH" qualifier="effets des médicaments et des substances chimiques" xml:lang="fr"><term>Rythme circadien</term>
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<keywords scheme="MESH" qualifier="pharmacologie" xml:lang="fr"><term>Dioxyde de carbone</term>
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<front><div type="abstract" xml:lang="en"><p><b>MAIN CONCLUSION</b>
</p>
<p>Our study demonstrated that the species respond non-linearly to increases in CO</p>
</div>
</front>
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<Month>09</Month>
<Day>16</Day>
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<Month>09</Month>
<Day>16</Day>
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<Month>Jan</Month>
<Day>16</Day>
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<Title>Planta</Title>
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</Journal>
<ArticleTitle>Plant responses to decadal scale increments in atmospheric CO<sub>2</sub>
concentration: comparing two stomatal conductance sampling methods.</ArticleTitle>
<Pagination><MedlinePgn>52</MedlinePgn>
</Pagination>
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<Abstract><AbstractText Label="MAIN CONCLUSION" NlmCategory="UNASSIGNED">Our study demonstrated that the species respond non-linearly to increases in CO<sub>2</sub>
concentration when exposed to decadal changes in CO<sub>2</sub>
, representing the year 1987, 2025, 2051, and 2070, respectively. There are several lines of evidence suggesting that the vast majority of C3 plants respond to elevated atmospheric CO<sub>2</sub>
by decreasing their stomatal conductance (g<sub>s</sub>
). However, in the majority of CO<sub>2</sub>
enrichment studies, the response to elevated CO<sub>2</sub>
are tested between plants grown under ambient (380-420 ppm) and high (538-680 ppm) CO<sub>2</sub>
concentrations and measured usually at single time points in a diurnal cycle. We investigated g<sub>s</sub>
responses to simulated decadal increments in CO<sub>2</sub>
predicted over the next 4 decades and tested how measurements of g<sub>s</sub>
may differ when two alternative sampling methods are employed (infrared gas analyzer [IRGA] vs. leaf porometer). We exposed Populus tremula, Popolus tremuloides and Sambucus racemosa to four different CO<sub>2</sub>
concentrations over 126 days in experimental growth chambers at 350, 420, 490 and 560 ppm CO<sub>2</sub>
; representing the years 1987, 2025, 2051, and 2070, respectively (RCP4.5 scenario). Our study demonstrated that the species respond non-linearly to increases in CO<sub>2</sub>
concentration when exposed to decadal changes in CO<sub>2</sub>
. Under natural conditions, maximum operational g<sub>s</sub>
is often reached in the late morning to early afternoon, with a mid-day depression around noon. However, we showed that the daily maximum g<sub>s</sub>
can, in some species, shift later into the day when plants are exposed to only small increases (70 ppm) in CO<sub>2</sub>
. A non-linear decreases in g<sub>s</sub>
and a shifting diurnal stomatal behavior under elevated CO<sub>2</sub>
, could affect the long-term daily water and carbon budget of many plants in the future, and therefore alter soil-plant-atmospheric processes.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Batke</LastName>
<ForeName>Sven Peter</ForeName>
<Initials>SP</Initials>
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<AffiliationInfo><Affiliation>Biology Department, Edge Hill University, St. Helen's Road, Ormskirk, L39 4QP, UK. sven.batke@edgehill.ac.uk.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yiotis</LastName>
<ForeName>Charilaos</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Botany Department, Trinity College Dublin, College Green, Dublin 2, Dublin, Ireland.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Elliott-Kingston</LastName>
<ForeName>Caroline</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>School of Agriculture and Food Science, University College Dublin, Stillorgan Road, Belfield, Dublin 4, Dublin, Ireland.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Holohan</LastName>
<ForeName>Aidan</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>School Biology and Environmental Science, University College Dublin, Stillorgan Road, Belfield, Dublin 4, Dublin, Ireland.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>McElwain</LastName>
<ForeName>Jennifer</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Botany Department, Trinity College Dublin, College Green, Dublin 2, Dublin, Ireland.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
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<Acronym>SFI_</Acronym>
<Agency>Science Foundation Ireland</Agency>
<Country>Ireland</Country>
</Grant>
<Grant><GrantID>GOIPD/2016/261</GrantID>
<Agency>Irish Research Council</Agency>
<Country></Country>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D054046" MajorTopicYN="N">Plant Stomata</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="Y">drug effects</QualifierName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
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<MeshHeading><DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName>
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<Keyword MajorTopicYN="N">Growth chambers</Keyword>
<Keyword MajorTopicYN="N">IRGA</Keyword>
<Keyword MajorTopicYN="N">Porometer</Keyword>
<Keyword MajorTopicYN="N">Water loss</Keyword>
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