Exchange of Carbon Dioxide by a Deciduous Forest: Response to Interannual Climate Variability

Goulden, Michael L.; Munger, J. William; Fan, Song‐Miao; Daube, Bruce C.; Wofsy, Steven C.

doi:10.1126/science.271.5255.1576

Cited by 656 publications

(442 citation statements)

References 24 publications

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“…While some of these comparisons have shown reasonable agreement between tower based estimates of CO 2 fluxes and MODIS land cover products, also numerous limitations were found and issues identified for further research: The largest error associated with the land cover classification is the simplifying assumption that each 1x1 km pixel only contains a single land cover class (Heinsch et al, 2006). This assumption generally fails to reflect the spatial heterogeneity in land cover, stand age, soil type and canopy structure for most biomes (Goulden et al, 1996). The use of a simple lookup table approach to determining from biome-specific parameters which do not vary in space and time (Running et al, 2000;Heinsch et al, 2002;Turner et al, 2003a), and distinguish only between 11 different vegetation types (Turner et al, 2003a;Heinsch et al, 2006) has been identified as the weak point of the GPP product as it greatly simplifies the existing spatial and temporal variability in .…”

Section: Validation Approachesmentioning

confidence: 98%

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Hilker

Coops

Wulder

et al. 2008

Science of The Total Environment

255

187

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Section: Validation Approachesmentioning

confidence: 98%

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Hilker

Coops

Wulder

et al. 2008

Science of The Total Environment

255

187

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“…There are clear indications in the flux tower data of different mean NEE values from different wind directions and these differences can be related to differences in vegetation (Goulden et al, 1996b). The wind speed and direction vary continuously, yet the Biome-BGC model used in the scaling has a daily time step.…”

Section: Assessment Of Bigfoot Gpp Productsmentioning

confidence: 99%

“…Details of the micrometeorological and flux measurements are available in various publications (Barford et al, 2001;Goulden, Munger, Fan, Daube, & Wofsy, 1996b;Wofsy et al, 1993) and the associated micrometeorological and mass flux data used in this study are available on the Internet (AmeriFlux, 2003).…”

Section: Sitesmentioning

confidence: 99%

Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation

Turner

2003

Remote Sensing of Environment

131

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The Moderate Resolution Imaging Radiometer (MODIS) is the primary instrument in the NASA Earth Observing System for monitoring the seasonality of global terrestrial vegetation. Estimates of 8-day mean daily gross primary production (GPP) at the 1 km spatial resolution are now operationally produced by the MODIS Land Science Team for the global terrestrial surface using a production efficiency approach. In this study, the 2001 MODIS GPP product was compared with scaled GPP estimates (25 km 2 ) based on ground measurements at two forested sites. The ground-based GPP scaling approach relied on a carbon cycle process model run in a spatially distributed mode. Land cover classification and maximum annual leaf area index, as derived from Landsat ETM+ imagery, were used in model initiation. The model was driven by daily meteorological observations from an eddy covariance flux tower situated at the center of each site. Model simulated GPPs were corroborated with daily GPP estimates from the flux tower. At the hardwood forest site, the MODIS GPP phenology started earlier than was indicated by the scaled GPP, and the summertime GPP from MODIS was generally lower than the scaled GPP values. The fall-off in production at the end of the growing season was similar to the validation data. At the boreal forest site, the GPP phenologies generally agreed because both responded to the strong signal associated with minimum temperature. The midsummer MODIS GPP there was generally higher than the ground-based GPP. The differences between the MODIS GPP products and the ground-based GPPs were driven by differences in the timing of FPAR and the magnitude of light use efficiency as well as by differences in other inputs to the MODIS GPP algorithm-daily incident PAR, minimum temperature, and vapor pressure deficit. Ground-based scaling of GPP has the potential to improve the parameterization of light use efficiency in satellite-based GPP monitoring algorithms. D

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“…The portion of total ecosystem respiration that takes place below-ground, soil respiration, has been estimated in forests to be as much as 69% of the total ecosystem respiration (plant and soil) and 55% of the carbon assimilated through photosynthesis annually (Janssens et al, 2001). Besides representing a large loss of carbon, soil respiration is also a major contributor to interannual variability in the net ecosystem balance (Goulden et al, 1996;Valentini et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Partitioning sources of soil‐respired CO₂ and their seasonal variation using a unique radiocarbon tracer

Cisneros-Dozal

Trumbore

Hanson

2005

Global Change Biology

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Soil respiration is derived from heterotrophic (decomposition of soil organic matter) and autotrophic (root/rhizosphere respiration) sources, but there is considerable uncertainty about what factors control variations in their relative contributions in space and time. We took advantage of a unique whole-ecosystem radiocarbon label in a temperate forest to partition soil respiration into three sources: (1) recently photosynthesized carbon (C), which dominates root and rhizosphere respiration; (2) leaf litter decomposition and (3) decomposition of root litter and soil organic matter 41-2 years old.Heterotrophic sources and specifically leaf litter decomposition were large contributors to total soil respiration during the growing season. Relative contributions from leaf litter decomposition ranged from a low of $ 1 AE 3% of total soil respiration (6 AE 3 mg C m À2 h À1 ) when leaf litter was extremely dry, to a high of 42 AE 16% (96 AE 38 mg C m À2 h À1 ). Total soil respiration fluxes varied with the strength of the leaf litter decomposition source, indicating that moisture-dependent changes in litter decomposition drive variability in total soil respiration fluxes. In the surface mineral soil layer, decomposition of C fixed in the original labeling event (3-5 years earlier) dominated the isotopic signature of heterotrophic respiration.Root/rhizosphere respiration accounted for 16 AE 10% to 64 AE 22% of total soil respiration, with highest relative contributions coinciding with low overall soil respiration fluxes. In contrast to leaf litter decomposition, root respiration fluxes did not exhibit marked temporal variation ranging from 34 AE 14 to 40 AE 16 mg C m À2 h À1 at different times in the growing season with a single exception (88 AE 35 mg C m À2 h À1 ). Radiocarbon signatures of root respired CO 2 changed markedly between early and late spring (March vs. May), suggesting a switch from stored nonstructural carbohydrate sources to more recent photosynthetic products.

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Exchange of Carbon Dioxide by a Deciduous Forest: Response to Interannual Climate Variability

Cited by 656 publications

References 24 publications

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation

Partitioning sources of soil‐respired CO₂ and their seasonal variation using a unique radiocarbon tracer

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Exchange of Carbon Dioxide by a Deciduous Forest: Response to Interannual Climate Variability

Cited by 656 publications

References 24 publications

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation

Partitioning sources of soil‐respired CO2 and their seasonal variation using a unique radiocarbon tracer

Contact Info

Product

Resources

About

Partitioning sources of soil‐respired CO₂ and their seasonal variation using a unique radiocarbon tracer