ReviewAnnals of botany2004
Modelling plant responses to elevated CO2: how important is leaf area index?
Review in Annals of botany, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 130 citations in OpenAlex.
- Artificial intelligence-based modeling for accurate leaf area estimation in olive (Olea europaea L.) cultivars.PloS one · 2026Article
- Increasing photosynthetic benefit with decreasing irrigation frequency in an Australian temperate pasture exposed to elevated carbon dioxide.Journal of experimental botany · 2025Article
- Article
- Elevated COBiology · 2022Review
- Does growing atmospheric COGlobal change biology · 2022Article
- Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow.Remote sensing · 2021Article
- Atmospheric CO₂ Concentration and Other Limiting Factors in the Growth of C₃ and C₄ Plants.Plants (Basel, Switzerland) · 2019Article
- Inter-relationship between intercepted radiation and rice yield influenced by transplanting time, method, and variety.International journal of biometeorology · 2019Article
- Amplification of heat extremes by plant CONature communications · 2018Article
- A Model of Leaf Coordination to Scale-Up Leaf Expansion from the Organ to the Canopy.Plant physiology · 2018Article
- Causes of variation among rice models in yield response to COScientific reports · 2017Article
- Response of wheat growth, grain yield and water use to elevated COGlobal change biology · 2015Article
- Improving ecophysiological simulation models to predict the impact of elevated atmospheric CO(2) concentration on crop productivity.Annals of botany · 2013Article
- Crop responses to climatic variation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2005Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsThe problem of increasing CO(2) concentration [CO(2)] and associated climate change has generated much interest in modelling effects of [CO(2)] on plants. While variation in growth and productivity is closely related to the amount of intercepted radiation, largely determined by leaf area index (LAI), effects of elevated [CO(2)] on growth are primarily via stimulation of leaf photosynthesis. Variability in LAI depends on climatic and growing conditions including [CO(2)] concentration and can be high, as is known for agricultural crops which are specifically emphasized in this report. However, modelling photosynthesis has received much attention and photosynthesis is often represented inadequately detailed in plant productivity models. Less emphasis has been placed on the modelling of leaf area dynamics, and relationships between plant growth, elevated [CO(2)] and LAI are not well understood. This Botanical Briefing aims at clarifying the relative importance of LAI for canopy assimilation and growth in biomass under conditions of rising [CO(2)] and discusses related implications for process-based modelling. MODEL: A simulation exercise performed for a wheat crop demonstrates recent experimental findings about canopy assimilation as affected by LAI and elevation of [CO(2)]. While canopy assimilation largely increases with LAI below canopy light saturation, effects on canopy assimilation of [CO(2)] elevation are less pronounced and tend to decline as LAI increases. Results from selected model-testing studies indicate that simulation of LAI is often critical and forms an important source of uncertainty in plant productivity models, particularly under conditions of limited resource supply.
conclusionsProgress in estimating plant growth and productivity under rising [CO(2)] is unlikely to be achieved without improving the modelling of LAI. This will depend on better understanding of the processes of substrate allocation, leaf area development and senescence, and the role of LAI in controlling plant adaptation to environmental changes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.