Global patterns of ecosystem carbon flux in forests: A biometric data‐based synthesis

Xu, Bing; Yang, Yuanhe; Пин, Ли; Shen, Haihua; Fang, Jingyun

doi:10.1002/2013gb004593

Cited by 45 publications

(37 citation statements)

References 96 publications

(82 reference statements)

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“…The apparent E a values for GPP, R e , NEP, CUE e and (1 − CUE e ) calculated from the models presented by Xu et al . () were 0.327, 0.377, 0.101, −0.226 and 0.050 eV, respectively. Within statistical error, the apparent E a of CUE e (−0.226 eV) approximates the difference between the apparent E a values of CUE a and CUE h presented earlier (−0.058 eV − 0.192 eV = −0.250 eV), showing that these estimates derived from independent meta‐analyses are coherent.…”

Section: Resultsmentioning

confidence: 96%

Plant, microbial and ecosystem carbon use efficiencies interact to stabilize microbial growth as a fraction of gross primary production

Sinsabaugh

Moorhead

et al. 2017

New Phytologist

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The carbon use efficiency of plants (CUE ) and microorganisms (CUE ) determines rates of biomass turnover and soil carbon sequestration. We evaluated the hypothesis that CUE and CUE counterbalance at a large scale, stabilizing microbial growth (μ) as a fraction of gross primary production (GPP). Collating data from published studies, we correlated annual CUE , estimated from satellite imagery, with locally determined soil CUE for 100 globally distributed sites. Ecosystem CUE , the ratio of net ecosystem production (NEP) to GPP, was estimated for each site using published models. At the ecosystem scale, CUE and CUE were inversely related. At the global scale, the apparent temperature sensitivity of CUE with respect to mean annual temperature (MAT) was similar for organic and mineral soils (0.029°C ). CUE and CUE were inversely related to MAT, with apparent sensitivities of -0.009 and -0.032°C , respectively. These trends constrain the ratio μ : GPP (= (CUE × CUE )/(1 - CUE )) with respect to MAT by counterbalancing the apparent temperature sensitivities of the component processes. At the ecosystem scale, the counterbalance is effected by modulating soil organic matter stocks. The results suggest that a μ : GPP value of c. 0.13 is a homeostatic steady state for ecosystem carbon fluxes at a large scale.

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Section: Resultsmentioning

confidence: 96%

Plant, microbial and ecosystem carbon use efficiencies interact to stabilize microbial growth as a fraction of gross primary production

Sinsabaugh

Moorhead

et al. 2017

New Phytologist

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“…Changes in the water cycle directly affect ecosystem productivity (Xu et al 2014) and aboveground and belowground carbon cycles through plant transpiration (Sun et al 2011b), soil heat and moisture dynamics that affect ecosystem respiration (Biederman et al 2016;Zhang et al 2017b), and surface and subsurface flows that determine soil water availability to plants. Ecosystems do not generate water, but they modify the quantity, quality, and timing of water cycles.…”

Section: Carbon Cycle and Ecosystem Productivitymentioning

confidence: 99%

Ecohydrological processes and ecosystem services in the Anthropocene: a review

2017

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The framework for ecosystem services has been increasingly used in integrated watershed ecosystem management practices that involve scientists, engineers, managers, and policy makers. The objective of this review is to explore the intimate connections between ecohydrological processes and water-related ecosystem services in human-dominated ecosystems in the Anthropocene. We synthesize current literature to illustrate the importance of understanding the ecohydrological processes for accurately quantifying ecosystem services under different environmental and socioeconomic settings and scales. Our synthesis focuses on managed ecosystems that are dominated by humans and explores how ecological processes affect the tradeoffs and synergies of multiple ecosystem services. We identify research gaps in studying ecological processes mainly including energy, carbon, water, and nutrient balances to better assess and quantify ecosystem services that are critical for sustaining natural resources for future generations. To better assess ecosystem services, future ecohydrological studies need to better account for the scaling effects of natural and anthropogenic stressors exerted on evapotranspiration and other water supply and demand processes. Future studies should focus on the bidirectional interactions between hydrological functions and services and human actions to solve real world problems such as water shortages, ecological degradation, and climate change adaptation. Review

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“…Over the past decade, a large number of longterm biometric measurements have accumulated data for forest biomass and soil C stocks (Xu et al 2014). Forest Inventory Analysis (FIA) and remote sensing techniques have provided useful information on the spatial distribution of forest C stock changes (Woodbury et al 2007, Lichstein et al 2014.…”

Section: Introductionmentioning

confidence: 99%

Modeling forest carbon cycle using long‐term carbon stock field measurement in the Delaware River Basin

Pan

Plante

et al. 2017

Ecosphere

Self Cite

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Abstract. Process-based models are a powerful approach to test our understanding of biogeochemical processes, to extrapolate ground survey data from limited plots to the landscape scale, and to simulate the effects of climate change, nitrogen deposition, elevated atmospheric CO 2 , increasing natural disturbances, and land-use change on ecological processes. However, in most studies, the models are calibrated using ground measurements from only a few sites, though they may be extrapolated to much larger areas. Estimation accuracy can be improved if the models are parameterized using long-term carbon (C) stock data from multiple sites representative of the simulated region. In this study, forest biomass C stocks measured in 61 forested plots located in three research sites in the Delaware River Basin (DRB) were used to modify the PnET-CN model in three ways: (1) Field-measured mortality rates in each forest type were used to parameterize the wood turnover rate; (2) a numerical approach was used to calibrate the relationship between foliage N and maximum photosynthesis rate; and (3) stand age was incorporated into the model as an input variable, which determines the year of the last disturbance. The results showed that these model modifications improved model performance in capturing the spatial variation of forest C dynamics in the DRB forests. The spatial distribution of forest C pools and fluxes in the three sites was mapped using the modified model. The modified model was also used in experimental scenarios, which predicted that 39% of forest C sequestered over the past decade could be attributed to the combined effects of elevated CO 2 and N deposition. This study demonstrated an effective method for using long-term biometric measurements of forest biomass C stocks to constrain and improve a process-based ecosystem model at a regional scale. Further research should target improving model parameters that are sensitive to the spatial variation of forest C dynamics.

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Global patterns of ecosystem carbon flux in forests: A biometric data‐based synthesis

Cited by 45 publications

References 96 publications

Plant, microbial and ecosystem carbon use efficiencies interact to stabilize microbial growth as a fraction of gross primary production

Plant, microbial and ecosystem carbon use efficiencies interact to stabilize microbial growth as a fraction of gross primary production

Ecohydrological processes and ecosystem services in the Anthropocene: a review

Modeling forest carbon cycle using long‐term carbon stock field measurement in the Delaware River Basin

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