Tree girdling responses simulated by a water and carbon transport model
Identifieur interne : 000092 ( Ncbi/Curation ); précédent : 000091; suivant : 000093Tree girdling responses simulated by a water and carbon transport model
Auteurs : Veerle De Schepper ; Kathy SteppeSource :
- Annals of Botany [ 0305-7364 ] ; 2011.
English descriptors
- KwdEn :
- Carbon (metabolism), Cell Respiration, Computer Simulation, Microclimate, Models, Biological, Osmotic Pressure, Phloem (metabolism), Phloem (physiology), Photosynthesis, Plant Bark (metabolism), Plant Bark (physiology), Plant Leaves (metabolism), Plant Leaves (physiology), Plant Stems (growth & development), Plant Stems (metabolism), Plant Stems (physiology), Plant Transpiration, Quercus (growth & development), Quercus (metabolism), Quercus (physiology), Starch (metabolism), Time Factors, Water (metabolism), Xylem (metabolism).
- MESH :
- chemical , metabolism : Carbon, Starch, Water.
- growth & development : Plant Stems, Quercus.
- metabolism : Phloem, Plant Bark, Plant Leaves, Plant Stems, Quercus, Xylem.
- physiology : Phloem, Plant Bark, Plant Leaves, Plant Stems, Quercus.
- Cell Respiration, Computer Simulation, Microclimate, Models, Biological, Osmotic Pressure, Photosynthesis, Plant Transpiration, Time Factors.
Abstract
Girdling, or the removal of a strip of bark around a tree's outer circumference, is often used to study carbon relationships, as it triggers several carbon responses which seem to be interrelated.
An existing plant model describing water and carbon transport in a tree was used to evaluate the mechanisms behind the girdling responses. Therefore, the (un)loading functions of the original model were adapted and became a function of the phloem turgor pressure.
The adapted model successfully simulated the measured changes in stem growth induced by girdling. The model indicated that the key driving variables for the girdling responses were changes in turgor pressure due to local changes in sugar concentrations. Information about the local damage to the phloem system was transferred to the other plant parts (crown and roots) by a change in phloem pressure. After girdling, the loading rate was affected and corresponded to the experimentally observed feedback inhibition. In addition, the unloading rate decreased after girdling and even reversed in some instances. The model enabled continuous simulation of changes in starch content, although a slight underestimation was observed compared with measured values.
For the first time a mechanistic plant model enabled simulation of tree girdling responses, which have thus far only been experimentally observed and fragmentally reported in literature. The close agreement between measured and simulated data confirms the underlying mechanisms introduced in the model.
Url:
DOI: 10.1093/aob/mcr068
PubMed: 21478174
PubMed Central: 3189833
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PMC:3189833Le document en format XML
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<author><name sortKey="Steppe, Kathy" sort="Steppe, Kathy" uniqKey="Steppe K" first="Kathy" last="Steppe">Kathy Steppe</name>
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<author><name sortKey="Steppe, Kathy" sort="Steppe, Kathy" uniqKey="Steppe K" first="Kathy" last="Steppe">Kathy Steppe</name>
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<series><title level="j">Annals of Botany</title>
<idno type="ISSN">0305-7364</idno>
<idno type="eISSN">1095-8290</idno>
<imprint><date when="2011">2011</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Carbon (metabolism)</term>
<term>Cell Respiration</term>
<term>Computer Simulation</term>
<term>Microclimate</term>
<term>Models, Biological</term>
<term>Osmotic Pressure</term>
<term>Phloem (metabolism)</term>
<term>Phloem (physiology)</term>
<term>Photosynthesis</term>
<term>Plant Bark (metabolism)</term>
<term>Plant Bark (physiology)</term>
<term>Plant Leaves (metabolism)</term>
<term>Plant Leaves (physiology)</term>
<term>Plant Stems (growth & development)</term>
<term>Plant Stems (metabolism)</term>
<term>Plant Stems (physiology)</term>
<term>Plant Transpiration</term>
<term>Quercus (growth & development)</term>
<term>Quercus (metabolism)</term>
<term>Quercus (physiology)</term>
<term>Starch (metabolism)</term>
<term>Time Factors</term>
<term>Water (metabolism)</term>
<term>Xylem (metabolism)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Carbon</term>
<term>Starch</term>
<term>Water</term>
</keywords>
<keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Plant Stems</term>
<term>Quercus</term>
</keywords>
<keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Phloem</term>
<term>Plant Bark</term>
<term>Plant Leaves</term>
<term>Plant Stems</term>
<term>Quercus</term>
<term>Xylem</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Phloem</term>
<term>Plant Bark</term>
<term>Plant Leaves</term>
<term>Plant Stems</term>
<term>Quercus</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Cell Respiration</term>
<term>Computer Simulation</term>
<term>Microclimate</term>
<term>Models, Biological</term>
<term>Osmotic Pressure</term>
<term>Photosynthesis</term>
<term>Plant Transpiration</term>
<term>Time Factors</term>
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<front><div type="abstract" xml:lang="en"><sec><title>Background and Aims</title>
<p>Girdling, or the removal of a strip of bark around a tree's outer circumference, is often used to study carbon relationships, as it triggers several carbon responses which seem to be interrelated.</p>
</sec>
<sec><title>Methods</title>
<p>An existing plant model describing water and carbon transport in a tree was used to evaluate the mechanisms behind the girdling responses. Therefore, the (un)loading functions of the original model were adapted and became a function of the phloem turgor pressure.</p>
</sec>
<sec><title>Key Results</title>
<p>The adapted model successfully simulated the measured changes in stem growth induced by girdling. The model indicated that the key driving variables for the girdling responses were changes in turgor pressure due to local changes in sugar concentrations. Information about the local damage to the phloem system was transferred to the other plant parts (crown and roots) by a change in phloem pressure. After girdling, the loading rate was affected and corresponded to the experimentally observed feedback inhibition. In addition, the unloading rate decreased after girdling and even reversed in some instances. The model enabled continuous simulation of changes in starch content, although a slight underestimation was observed compared with measured values.</p>
</sec>
<sec><title>Conclusions</title>
<p>For the first time a mechanistic plant model enabled simulation of tree girdling responses, which have thus far only been experimentally observed and fragmentally reported in literature. The close agreement between measured and simulated data confirms the underlying mechanisms introduced in the model.</p>
</sec>
</div>
</front>
</TEI>
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