A physiological and biophysical model of coppice willow (Salix spp.) production yields for the contiguous USA in current and future climate scenarios.
Identifieur interne : 001F14 ( Main/Exploration ); précédent : 001F13; suivant : 001F15A physiological and biophysical model of coppice willow (Salix spp.) production yields for the contiguous USA in current and future climate scenarios.
Auteurs : Dan Wang [États-Unis] ; Deepak Jaiswal [États-Unis] ; David S. Lebauer [États-Unis] ; Timothy M. Wertin [États-Unis] ; Germán A. Bollero [États-Unis] ; Andrew D B. Leakey [États-Unis] ; Stephen P. Long [États-Unis]Source :
- Plant, cell & environment [ 1365-3040 ] ; 2015.
Descripteurs français
- KwdFr :
- Biocarburants (MeSH), Calibrage (MeSH), Changement climatique (MeSH), Dioxyde de carbone (métabolisme), Feuilles de plante (physiologie), Modèles biologiques (MeSH), Photosynthèse (MeSH), Rendement (MeSH), Reproductibilité des résultats (MeSH), Salix (croissance et développement), Salix (métabolisme), Salix (physiologie), Science forêt (méthodes), Température (MeSH), Transpiration des plantes (MeSH), États-Unis (MeSH).
- MESH :
- croissance et développement : Salix.
- métabolisme : Dioxyde de carbone, Salix.
- méthodes : Science forêt.
- physiologie : Feuilles de plante, Salix.
- Biocarburants, Calibrage, Changement climatique, Modèles biologiques, Photosynthèse, Rendement, Reproductibilité des résultats, Température, Transpiration des plantes, États-Unis.
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Biofuels (MeSH), Calibration (MeSH), Carbon Dioxide (metabolism), Climate Change (MeSH), Efficiency (MeSH), Forestry (methods), Models, Biological (MeSH), Photosynthesis (MeSH), Plant Leaves (physiology), Plant Transpiration (MeSH), Reproducibility of Results (MeSH), Salix (growth & development), Salix (metabolism), Salix (physiology), Temperature (MeSH), United States (MeSH).
- MESH :
- chemical , metabolism : Carbon Dioxide.
- chemical : Biofuels.
- geographic : United States.
- growth & development : Salix.
- metabolism : Salix.
- methods : Forestry.
- physiology : Plant Leaves, Salix.
- Calibration, Climate Change, Efficiency, Models, Biological, Photosynthesis, Plant Transpiration, Reproducibility of Results, Temperature.
Abstract
High-performance computing has facilitated development of biomass production models that capture the key mechanisms underlying production at high spatial and temporal resolution. Direct responses to increasing [CO2 ] and temperature are important to long-lived emerging woody bioenergy crops. Fast-growing willow (Salix spp.) within short rotation coppice (SRC) has considerable potential as a renewable biomass source, but performance over wider environmental conditions and under climate change is uncertain. We extended the bioenergy crop modeling platform, BioCro, to SRC willow by adding coppicing and C3 photosynthesis subroutines, and modifying subroutines for perennation, allocation, morphology, phenology and development. Parameterization with measurements of leaf photosynthesis, allocation and phenology gave agreement of modeled with measured yield across 23 sites in Europe and North America. Predictions for the continental USA suggest yields of ≥17 Mg ha(-1) year(-1) in a 4 year rotation. Rising temperature decreased predicted yields, an effect partially ameliorated by rising [CO2 ]. This model, based on over 100 equations describing the physiological and biophysical mechanisms underlying production, provides a new framework for utilizing mechanism of plant responses to the environment, including future climates. As an open-source tool, it is made available here as a community resource for further application, improvement and adaptation.
DOI: 10.1111/pce.12556
PubMed: 25963097
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Salix (physiologie)</term>
<term>Science forêt (méthodes)</term>
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<front><div type="abstract" xml:lang="en">High-performance computing has facilitated development of biomass production models that capture the key mechanisms underlying production at high spatial and temporal resolution. Direct responses to increasing [CO2 ] and temperature are important to long-lived emerging woody bioenergy crops. Fast-growing willow (Salix spp.) within short rotation coppice (SRC) has considerable potential as a renewable biomass source, but performance over wider environmental conditions and under climate change is uncertain. We extended the bioenergy crop modeling platform, BioCro, to SRC willow by adding coppicing and C3 photosynthesis subroutines, and modifying subroutines for perennation, allocation, morphology, phenology and development. Parameterization with measurements of leaf photosynthesis, allocation and phenology gave agreement of modeled with measured yield across 23 sites in Europe and North America. Predictions for the continental USA suggest yields of ≥17 Mg ha(-1) year(-1) in a 4 year rotation. Rising temperature decreased predicted yields, an effect partially ameliorated by rising [CO2 ]. This model, based on over 100 equations describing the physiological and biophysical mechanisms underlying production, provides a new framework for utilizing mechanism of plant responses to the environment, including future climates. As an open-source tool, it is made available here as a community resource for further application, improvement and adaptation.</div>
</front>
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<Abstract><AbstractText>High-performance computing has facilitated development of biomass production models that capture the key mechanisms underlying production at high spatial and temporal resolution. Direct responses to increasing [CO2 ] and temperature are important to long-lived emerging woody bioenergy crops. Fast-growing willow (Salix spp.) within short rotation coppice (SRC) has considerable potential as a renewable biomass source, but performance over wider environmental conditions and under climate change is uncertain. We extended the bioenergy crop modeling platform, BioCro, to SRC willow by adding coppicing and C3 photosynthesis subroutines, and modifying subroutines for perennation, allocation, morphology, phenology and development. Parameterization with measurements of leaf photosynthesis, allocation and phenology gave agreement of modeled with measured yield across 23 sites in Europe and North America. Predictions for the continental USA suggest yields of ≥17 Mg ha(-1) year(-1) in a 4 year rotation. Rising temperature decreased predicted yields, an effect partially ameliorated by rising [CO2 ]. This model, based on over 100 equations describing the physiological and biophysical mechanisms underlying production, provides a new framework for utilizing mechanism of plant responses to the environment, including future climates. As an open-source tool, it is made available here as a community resource for further application, improvement and adaptation.</AbstractText>
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<AffiliationInfo><Affiliation>Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.</Affiliation>
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<AffiliationInfo><Affiliation>Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.</Affiliation>
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