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

Journal Article · Tue Nov 13 04:00:00 EST 2007 · Ecosystems, 11(1):26-44

DOI:https://doi.org/10.1007/s10021-007-9105-0· OSTI ID:924656

Cook, Bruce D. ^[1]; Bolstad, Paul V. ^[1]; Martin, Jonathan G. ^[2]; Heinsch, Faith A. ^[3]; Davis, Kenneth J. ^[4]; Wang, Weiguo ^[5]; Desai, Ankur R. ^[6]; Teclaw, Ron ^[7]

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1. Univ. of Minnesota, Minneapolis, MN (United States)
2. Oregon State Univ., Corvallis, OR (United States)
3. Univ. of Montana, Missoula, MT (United States)
4. Pennsylvania State Univ., State College, PA (United States)
5. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
6. Univ. of Wisconsin, Madison, WI (United States)
7. USDA Forest Service, Rhinelander, WI (United States)

Vegetation growth models have been coupled with data from remotely sensed imagery and surface meteorological networks to monitor terrestrial production and ecosystem-atmosphere carbon exchange across a wide range of spatial and temporal scales (e.g., MODIS, CASA, GLO-PEM). Many of these diagnostic models are based on a light-use efficiency equation and two-component model of whole-plant growth and maintenance respiration, which have been parameterized for functionally 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 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, and used to make predictions during a year when the canopy was 37% defoliated by forest tent caterpillars. To accurately capture interannual variability during all years, algorithms needed to be 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, and differences in net ecosystem production in the presence and absence of large numbers of defoliating insects was approximately 2 g C m^-2 d^-1 and <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 to 13% in long-term predictions of carbon sequestration.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 924656
• Report Number(s): PNNL-SA--57430
• Journal Information: Ecosystems, 11(1):26-44, Journal Name: Ecosystems, 11(1):26-44 Journal Issue: 1 Vol. 11; ISSN 1432-9840
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
CANOPIES
CARBON CYCLE
DISTURBANCES
FORESTS
MATHEMATICAL MODELS
MODIS
Malacosoma disstria Hubner
PLANT GROWTH
PRODUCTIVITY
REMOTE SENSING
SOLAR RADIATION
carbon utilization efficiency
ecosystem respiration
primary production
quantum efficiency