Using Light-Use and Production Efficiency Models to Predict Photosynthesis and Net Carbon Exchange During Forest Canopy Disturbance

Vegetation growth models are used with remotely sensed and meteorological data to monitor terrestrial carbon dynamics at a range of spatial and temporal scales. Many of these models are based on a light-use efficiency equation and two-component model of whole-plant growth and maintenance respiration...

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Veröffentlicht in:Ecosystems (New York) 2008-02, Vol.11 (1), p.26-44
Hauptverfasser: Cook, Bruce D, Bolstad, Paul V, Martin, Jonathan G, Heinsch, Faith Ann, Davis, Kenneth J, Wang, Weiguo, Desai, Ankur R, Teclaw, Ron M
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container_issue 1
container_start_page 26
container_title Ecosystems (New York)
container_volume 11
creator Cook, Bruce D
Bolstad, Paul V
Martin, Jonathan G
Heinsch, Faith Ann
Davis, Kenneth J
Wang, Weiguo
Desai, Ankur R
Teclaw, Ron M
description Vegetation growth models are used with remotely sensed and meteorological data to monitor terrestrial carbon dynamics at a range of spatial and temporal scales. Many of these models are based on a light-use efficiency equation and two-component model of whole-plant growth and maintenance respiration that have been parameterized for distinct vegetation types and biomes. This study was designed to assess the robustness of these parameters for predicting interannual plant growth and carbon exchange, and more specifically to address inconsistencies that may arise during forest disturbances and the loss of canopy foliage. A model based on the MODIS MOD17 algorithm was parameterized for a mature upland hardwood forest by inverting CO₂ flux tower observations during years when the canopy was not disturbed. This model was used to make predictions during a year when the canopy was 37% defoliated by forest tent caterpillars. Predictions improved after algorithms were modified to scale for the effects of diffuse radiation and loss of leaf area. Photosynthesis and respiration model parameters were found to be robust at daily and annual time scales regardless of canopy disturbance, and differences between modeled net ecosystem production and tower net ecosystem exchange were only approximately 2 g C m-² d-¹ and less than 23 g C m-² y-¹. Canopy disturbance events such as insect defoliations are common in temperate forests of North America, and failure to account for cyclical outbreaks of forest tent caterpillars in this stand could add an uncertainty of approximately 4-13% in long-term predictions of carbon sequestration.
doi_str_mv 10.1007/s10021-007-9105-0
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identifier ISSN: 1432-9840
ispartof Ecosystems (New York), 2008-02, Vol.11 (1), p.26-44
issn 1432-9840
1435-0629
language eng
recordid cdi_osti_scitechconnect_924656
source SpringerNature Journals; Jstor Complete Legacy
subjects Algorithms
Animal and plant ecology
Animal, plant and microbial ecology
Biological and medical sciences
Biomedical and Life Sciences
CANOPIES
Carbon
CARBON CYCLE
Carbon dioxide
Carbon sequestration
carbon utilization efficiency
Deciduous forests
Defoliation
DISTURBANCES
Ecology
Ecosystem models
ecosystem respiration
environmental factors
Environmental Management
ENVIRONMENTAL SCIENCES
equations
Foliage
Forest canopy
Forest ecosystems
Forestry
FORESTS
Fundamental and applied biological sciences. Psychology
gas exchange
General aspects
General forest ecology
Generalities. Production, biomass. Quality of wood and forest products. General forest ecology
Geochemistry
Geoecology/Natural Processes
growth models
Hydrology/Water Resources
Leaf area
Leaves
Life Sciences
light
Malacosoma disstria
Malacosoma disstria Hubner
MATHEMATICAL MODELS
MODIS
MODIS model
Parametric models
photorespiration
Photosynthesis
PLANT GROWTH
Plant Sciences
Plants
prediction
primary production
primary productivity
PRODUCTIVITY
quantum efficiency
REMOTE SENSING
Respiration
SOLAR RADIATION
Synecology
Temperate forests
Terrestrial ecosystems
Vegetation
vegetation structure
Zoology
title Using Light-Use and Production Efficiency Models to Predict Photosynthesis and Net Carbon Exchange During Forest Canopy Disturbance
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