Process‐based <scp>TRIPLEX‐GHG</scp> model for simulating <scp>N</scp><sub>2</sub><scp>O</scp> emissions from global forests and grasslands: <scp>M</scp>odel development and evaluation

Zhang, Kerou; Peng, Changhui; Wang, Meng; Zhou, Xiaolu; Li, Mingxu; Wang, Kefeng; Ding, Juhua; Zhu, Qiuan

doi:10.1002/2017ms000934

Cited by 20 publications

(20 citation statements)

References 199 publications

(266 reference statements)

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“…The budget of Xu et al [18] was higher than the estimation in this study. As an alternative, Tian et al [19] and Zhang et al [6] calculated smaller values of 4.28 Tg N and 3.62 Tg N per year N 2 O emissions from global forests by means of the simulation of process-based models of the DLEM (The Dynamic Land Ecosystem Model) [20] and the TRIPLEX-GHG model [21], respectively, as compared to this study. Moreover, Zhuang et al [7] reported a value of 1.3 Tg N per year from forests, which were extrapolated from field measurements by using an artificial neural network approach.…”

Section: Comparison Of Total N 2 O Budget With Previous Studiesmentioning

confidence: 69%

Magnitude and Edaphic Controls of Nitrous Oxide Fluxes in Natural Forests at Different Scales

Zhang

et al. 2020

Forests

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Forest nitrous oxide (N2O) emission plays an important role in the greenhouse gas budget of forest ecosystems. However, spatial variability in N2O fluxes complicates the determination of key factors of N2O fluxes at different scales. Based on an updated database of N2O fluxes and the main edaphic factors of global forests, the magnitude of N2O fluxes from forests and the relationships between edaphic factors and N2O fluxes at different scales were analyzed. According to the results, the average annual N2O flux of the global forest was 142.91 ± 14.1 mg N m−2 year−1. The range of total forest estimated N2O emission was 4.45–4.69 Tg N in 2000. N2O fluxes from forests with different leaf traits (broadleaved and coniferous) have significant differences in magnitude, whereas the leaf habit (evergreen and deciduous) was an important characteristic reflecting different patterns of N2O seasonal variations. The main factors affecting N2O fluxes on the global scale were ammonium (NH4+) and nitrate (NO3−) concentrations. With an increasing scale (from the site scale to the regional scale to the global scale), the explanatory power of the five edaphic factors to N2O flux decreased gradually. In addition, the response curves of N2O flux to edaphic factors were diversified among different scales. At both the global and regional scales, soil hydrothermal condition (water filled pore space (WFPS) and soil temperature) might not be the main spatial regulation for N2O fluxes, whereas soil nutrient factors (particularly NO3− concentration) could contribute more on N2O flux spatial variations. The results of site-control analysis demonstrated that there were high spatial heterogeneity of the main N2O controls, showing N2O fluxes from low latitude forests being more likely associated with soil WFPS and temperature. Thus, our findings provide valuable insights into the regulatory edaphic factors underlying the variability in N2O emissions, when modeling at different scales.

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Section: Comparison Of Total N 2 O Budget With Previous Studiesmentioning

confidence: 69%

Magnitude and Edaphic Controls of Nitrous Oxide Fluxes in Natural Forests at Different Scales

Zhang

et al. 2020

Forests

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“…The TRIPLEX-GHG model (Peng et al, 2013;Zhang et al, 2017b;Zhu et al, 2014) is a process-based terrestrial ecosystem model, which is based on the Integrated Biosphere Simulator (IBIS) (Foley et al, 1996;Kucharik et al, 2000) and TRIPLEX (Peng et al, 2002). The basic structure of the original TRIPLEX-GHG model and the integration of agricultural management 95 processes are shown in Fig.…”

Section: Model Descriptionmentioning

confidence: 99%

“…By incorporating the decomposition, methane (CH4) production and oxidation, nitrification, and denitrification processes with the original model, the TRIPLEX-GHG model has been validated, modified, and used to simulate major green-house gas emissions from natural terrestrial ecosystems (grasslands, forests, and wetlands) (Zhang et al, 2017b;Zhang et al, 2019;Zhu 110 et al, 2014;Zhu et al, 2015). However, the current TRIPLEX-GHG model does not include major agricultural practices, and thus, it is unable to accurately simulate the N2O flux from agricultural soils.…”

mentioning

confidence: 99%

“…In the TRIPLEX-GHG model, nitrification is an aerobic process that occurs outside of the anaerobic balloon, converting ammonium (NH4 + ) into nitrate (NO3 -) driven by nitrifying bacteria with N2O as a by-product (Li et al, 2000;Zhang et al, 2017b;Morkved et al, 2007). The growth and death rate of nitrifiers (Equations (4-6) in Table S1) are highly dependent on 125 the DOC; therefore, the nitrification rate (Equations (7-10) in Table S1) was calculated using the Michaelis-Menten function based on the concentration of NH4 + and the microbial activity of the nitrifying bacteria.…”

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confidence: 99%

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Integrating Agricultural Practices into the TRIPLEX-GHG Model v2.0 for Simulating Global Cropland Nitrous Oxide Emissions: Model Development and Evaluation

Song

Peng

Zhang

et al. 2021

Preprint

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Abstract. Nitrous oxide (N2O) emissions from croplands are one of the most important greenhouse gas sources, and it is difficult to simulate on a large scale. In order to simulate N2O emissions from global croplands, a new version of the process-based TRIPLEX-GHG model was developed by coupling the major agricultural activities. The coefficient of the NO3− consumption rate for denitrification (COEdNO3) was found to be the most sensitive parameter based on sensitivity analysis, and it was calibrated using field data from 39 observation sites across major croplands globally. The model performed well when simulating the magnitude of the daily N2O emissions and was able to capture the temporal patterns of the N2O emissions. The COEdNO3 ranged from 0.01 to 0.05, and the continental mean of the parameter was used for the model validation. The validation results indicate that the means of the measured daily N2O fluxes during the experiment periods are highly correlated with the modeled results (R2 = 0.87). Consequently, our model simulation results demonstrate that the new version of the TRIPLEX-GHG model can reliably simulate N2O emissions from various croplands at the global scale.

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“…Total assimilated carbon is then allocated to leaves, stems, and roots as a function of PFT-dependent allocation rates (Table S1), which further determines the amount of carbon and N entering the soil (litterfall), after accounting for losses through autotrophic respiration (Friedlingstein et al, 1999). The amount and type of inorganic N in soil regulate nitrification and denitrification processes (Texts S4 and S5), which eventually determine the production and fluxes of N 2 O from the soil (Bijay-Singh et al, 1989;Chatskikh et al, 2005;Chowdhury et al, 2017;Fortuna et al, 2003;Zhang, Peng, et al, 2017).…”

Section: Model Improvementsmentioning

confidence: 99%

Global Nitrous Oxide Emissions From Pasturelands and Rangelands: Magnitude, Spatiotemporal Patterns, and Attribution

Dangal

Tian

et al. 2019

Global Biogeochemical Cycles

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The application of manure and mineral nitrogen (N) fertilizer, and livestock excreta deposition are the main drivers of nitrous oxide (N2O) emissions in agricultural systems. However, the magnitude and spatiotemporal variations of N2O emissions due to different management practices (excreta deposition and manure/fertilizer application) from grassland ecosystems remain unclear. In this study, we used the Dynamic Land Ecosystem Model to simulate the spatiotemporal variation in global N2O emissions and their attribution to different sources from both intensively managed (pasturelands) and extensively managed (rangelands) grasslands during 1961–2014. Over the study period, pasturelands and rangelands experienced a significant increase in N2O emissions from 1.74 Tg N2O‐N in 1961 to 3.11 Tg N2O‐N in 2014 (p < 0.05). Globally, pasturelands and rangelands were responsible for 54% (2.2 Tg N2O‐N) of the total agricultural N2O emissions (4.1 Tg N2O‐N) in 2006. Natural and anthropogenic sources contributed 26% (0.64 Tg N2O‐N/year) and 74% (1.78 Tg N2O‐N/year) of the net emissions, respectively. Across different biomes, pasturelands (i.e., C3 and C4) were the single largest contributor to N2O fluxes, accounting for 86% of the net global emissions from grasslands. Among different sources, livestock excreta deposition contributed 54% of the net emissions, followed by manure N (13%) and mineral N (7%) application. Regionally, southern Asia contributed 38% of the total emissions, followed by Europe (29%) and North America (16%). Our modeling study demonstrates that livestock excreta deposition and manure/fertilizer application have dramatically altered the N cycle in pasturelands, with a substantial impact on the climate system.

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Process‐based TRIPLEX‐GHG model for simulating N₂O emissions from global forests and grasslands: Model development and evaluation

Cited by 20 publications

References 199 publications

Magnitude and Edaphic Controls of Nitrous Oxide Fluxes in Natural Forests at Different Scales

Magnitude and Edaphic Controls of Nitrous Oxide Fluxes in Natural Forests at Different Scales

Integrating Agricultural Practices into the TRIPLEX-GHG Model v2.0 for Simulating Global Cropland Nitrous Oxide Emissions: Model Development and Evaluation

Global Nitrous Oxide Emissions From Pasturelands and Rangelands: Magnitude, Spatiotemporal Patterns, and Attribution

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Process‐based TRIPLEX‐GHG model for simulating N2O emissions from global forests and grasslands: Model development and evaluation

Cited by 20 publications

References 199 publications

Magnitude and Edaphic Controls of Nitrous Oxide Fluxes in Natural Forests at Different Scales

Magnitude and Edaphic Controls of Nitrous Oxide Fluxes in Natural Forests at Different Scales

Integrating Agricultural Practices into the TRIPLEX-GHG Model v2.0 for Simulating Global Cropland Nitrous Oxide Emissions: Model Development and Evaluation

Global Nitrous Oxide Emissions From Pasturelands and Rangelands: Magnitude, Spatiotemporal Patterns, and Attribution

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Process‐based TRIPLEX‐GHG model for simulating N₂O emissions from global forests and grasslands: Model development and evaluation