Forest carbon use efficiency: is respiration a constant fraction of gross primary production?

DeLucia, Evan H.; Drake, John E.; Thomas, Randall S.; Gonzàlez-Meler, Miquel A.

doi:10.1111/j.1365-2486.2007.01365.x

Cited by 406 publications

(433 citation statements)

References 66 publications

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“…5). This range of RE/GPP was in good agreement with the experimental results (0.78-1.24), which shows that RE is nearly 1.25-2 times soil respiration R s (Janssens et al, 2001;Law et al, 1999), and R s averages 24% higher than the mean annual NPP (Raich and Schlesinger, 1992) which accounts for 50% of GPP (Delucia et al, 2007;Griffis et al, 2004;Waring et al, 1998).…”

Section: Underlying Mechanisms For the Covariation Between Gpp And Resupporting

confidence: 78%

Covariation between gross primary production and ecosystem respiration across space and the underlying mechanisms: A global synthesis

Chen

Zhu

et al. 2015

Agricultural and Forest Meteorology

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a b s t r a c tGross primary production (GPP) and ecosystem respiration (RE) are two important processes in the terrestrial carbon cycle. Understanding the relationships between GPP and RE across space, as well as the underlying mechanisms, is helpful for understanding the terrestrial carbon cycle and predicting the global carbon budget. In this study, we investigated the correlation between the spatial variations in GPP and RE by compiling carbon flux data from 264 sites across the Asian, European, North American, South American, African, and Oceanian regions. The results indicated that GPP and RE covaried across space regionally and globally (P < 0.001). The spatial variations in GPP explained 66-98% of the variations in RE in the six regions (approximately explained 60-76% when considered the effects of self-correlation caused by current flux partitioning algorithm), and it explained 90% of RE variations at the global scale (about 70% when considered the effects of self-correlation). RE/GPP values were not significantly different among the six regions or between the two hemispheres. RE/GPP values consistently averaged at 0.87 ± 0.04 along the spatial variations in climate and vegetation index. This covariation between GPP and RE across space is largely attributed to the parallel responses of GPP and RE to the common climatic and vegetation factors, but the underlying mechanism lies in productivity as the primary and direct substrate supplier for respiration which fundamentally constrains RE. These results suggest that the variation in photosynthate availability is the dominant driver for respiration across space and that this process must be fully considered in the cross-site RE comparisons.

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Section: Underlying Mechanisms For the Covariation Between Gpp And Resupporting

confidence: 78%

Covariation between gross primary production and ecosystem respiration across space and the underlying mechanisms: A global synthesis

Chen

Zhu

et al. 2015

Agricultural and Forest Meteorology

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“…The NPP cannot be directly measured by eddy covariance technique, while a large number of studies found that the ratio of Ra to GPP was approximately 0.5 [34][35][36][37]. Thus, we speculated that NPP/GPP is also approximately equal to 0.5.…”

Section: Assessment Methods (I) Assessment Schemes For Nep and Carbonmentioning

confidence: 99%

Primary estimation of Chinese terrestrial carbon sequestration during 2001–2010

et al. 2015

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Quantifying the carbon budgets of terrestrial ecosystems is the foundation on which to understand the role of these ecosystems as carbon sinks and to mitigate global climate change. Through a re-examination of the conceptual framework of ecosystem productivity and the integration of multi-source data, we assumed that the entire terrestrial ecosystems in China to be a large-scale regional biome-society system. We approximated the carbon fluxes of key natural and anthropogenic processes at a regional scale, including fluxes of emissions from reactive carbon and creature ingestion, and fluxes of emissions from anthropogenic and natural disturbances. The gross primary productivity, ecosystem respiration and net ecosystem productivity (NEP) in China were 7.78, 5.89 and 1.89 PgC a -1 , respectively, during the period from 2001 to 2010. After accounting for the consumption of reactive carbon and creature ingestion (0.078 PgC a -1 ), fires (0.002 PgC a -1 ), water erosion (0.038 PgC a -1 ) and agricultural and forestry utilization (0.806 PgC a -1 ), the final carbon sink in China was about 0.966 PgC a -1 ; this was considered as the climate-based potential terrestrial ecosystem carbon sink for the current climate conditions in China. The carbon emissions caused by anthropogenic disturbances accounted for more than 42 % of the NEP, which indicated that humans can play an important role in increasing terrestrial carbon sequestration and mitigating global climate change. This role can be fulfilled by reducing the carbon emissions caused by human activities and by prolonging the residence time of fixed organic carbon in the large-scale regional biome-society system through the improvement of ecosystem management.

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“…Published studies indicate a CUE value from 0.3 to 0.5 for natural vegetation such as forests [54]. We approximated a carbon use efficiency of 0.4 in this study.…”

Section: Improvements To Estimate Crop Productivitymentioning

confidence: 99%

A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US

Xin

Gong

et al. 2013

Remote Sensing

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Remote sensing techniques that provide synoptic and repetitive observations over large geographic areas have become increasingly important in studying the role of agriculture in global carbon cycles. However, it is still challenging to model crop yields based on remotely sensed data due to the variation in radiation use efficiency (RUE) across crop types and the effects of spatial heterogeneity. In this paper, we propose a production efficiency model-based method to estimate corn and soybean yields with MODerate Resolution Imaging Spectroradiometer (MODIS) data by explicitly handling the following two issues: (1) field-measured RUE values for corn and soybean are applied to relatively pure pixels instead of the biome-wide RUE value prescribed in the MODIS vegetation productivity product (MOD17); and (2) contributions to productivity from vegetation other than crops in mixed pixels are deducted at the level of MODIS resolution. Our estimated yields statistically correlate with the national survey data for rainfed counties in the require any retrospective analysis that constructs empirical relationships between the reported yields and remotely sensed data, it could monitor crop yields over large areas.

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Forest carbon use efficiency: is respiration a constant fraction of gross primary production?

Cited by 406 publications

References 66 publications

Covariation between gross primary production and ecosystem respiration across space and the underlying mechanisms: A global synthesis

Covariation between gross primary production and ecosystem respiration across space and the underlying mechanisms: A global synthesis

Primary estimation of Chinese terrestrial carbon sequestration during 2001–2010

A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US

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