Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models

Wei, Ning; Cui, Erqian; Huang, Kun; Du, Zhenggang; Zhou, Jian; Xu, Xiaoni; Wang, Jing; Yan, Liming; Xia, Jianyang

doi:10.1029/2019ms001633

Cited by 8 publications

(4 citation statements)

References 62 publications

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“…Furthermore, the traceability framework we applied in this study only considered organic pools and ignored soil inorganic N and P pools. The size of soil inorganic N and P pools may enhance or weaken the feedback between vegetation dynamics and climate change (Wei et al, 2019;Wang et al, 2022), calling for a further understanding of the interaction between vegetation and inorganic nutrient pools in biogeochemical models.…”

Section: Discussionmentioning

confidence: 99%

Uncertainty propagation in a global biogeochemical model driven by leaf area data

Bian

Xia²

2023

Front. Ecol. Evol.

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Satellite-observed leaf area index (LAI) is often used to depict vegetation canopy structure and photosynthesis processes in terrestrial biogeochemical models. However, it remains unclear how the uncertainty of LAI among different satellite products propagates to the modeling of carbon (C), nitrogen (N), and phosphorus (P) cycles. Here, we separately drive a global biogeochemical model by three satellite-derived LAI products (i.e., GIMMS LAI3g, GLASS, and GLOBMAP) from 1982 to 2011. Using a traceability analysis, we explored the propagation of LAI-driven uncertainty to modeled C, N, and P storage among different biomes. The results showed that the data uncertainty of LAI was more considerable in the tropics than in non-tropical regions, whereas the modeling uncertainty of C, N, and P stocks showed a contrasting biogeographic pattern. The spread of simulated C, N, and P storage derived by different LAI datasets resulted from assimilation rates of elements in shrubland and C3 grassland but from the element residence time (τ) in deciduous needle leaf forest and tundra regions. Moreover, the assimilation rates of elements are the main contributing factor, with 67.6, 93.2, and 93% of vegetated grids for the modeled uncertainty of C, N, and P storage among the three simulations. We further traced the variations in τ to baseline residence times of different elements and the environmental scalars. These findings indicate that the data uncertainty of plant leaf traits can propagate to ecosystem processes in global biogeochemical models, especially in non-tropical forests.

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Section: Discussionmentioning

confidence: 99%

Uncertainty propagation in a global biogeochemical model driven by leaf area data

Bian

Xia²

2023

Front. Ecol. Evol.

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“…Bootstrap regressions were used to test whether there were differences in the slopes of time trends among functional types. First, a total of 1000 times bootstrapping was applied to generate the sub‐databases for each functional type with “ bootstrap ” function in “ modelr ” R package (Wei et al., 2019; Wickham, 2022). Then, we calculated the regression slopes (annual change rates) of foliar N/P versus the time of the sub‐databases.…”

Section: Methodsmentioning

confidence: 99%

Global change progressively increases foliar nitrogen–phosphorus ratios in China's subtropical forests

Lai,

Tang,

Lambers

et al. 2024

Global Change Biology

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Globally increased nitrogen (N) to phosphorus (P) ratios (N/P) affect the structure and functioning of terrestrial ecosystems, but few studies have addressed the variation of foliar N/P over time in subtropical forests. Foliar N/P indicates N versus P limitation in terrestrial ecosystems. Quantifying long‐term dynamics of foliar N/P and their potential drivers is crucial for predicting nutrient status and functioning in forest ecosystems under global change. We detected temporal trends of foliar N/P, quantitatively estimated their potential drivers and their interaction between plant types (evergreen vs. deciduous and trees vs. shrubs), using 1811 herbarium specimens of 12 widely distributed species collected during 1920–2010 across China's subtropical forests. We found significant decreases in foliar P concentrations (23.1%) and increases in foliar N/P (21.2%). Foliar N/P increased more in evergreen species (22.9%) than in deciduous species (16.9%). Changes in atmospheric CO2 concentrations (), atmospheric N deposition and mean annual temperature (MAT) dominantly contributed to the increased foliar N/P of evergreen species, while , MAT, and vapor pressure deficit, to that of deciduous species. Under future Shared Socioeconomic Pathway (SSP) scenarios, increasing MAT and would continuously increase more foliar N/P in deciduous species than in evergreen species, with more 12.9%, 17.7%, and 19.4% versus 6.1%, 7.9%, and 8.9% of magnitudes under the scenarios of SSP1‐2.6, SSP3‐7.0, and SSP5‐8.5, respectively. The results suggest that global change has intensified and will progressively aggravate N–P imbalance, further altering community composition and ecosystem functioning of subtropical forests.

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“…In the CABLE model, nutrient limitation occurs when the nutrient supply cannot meet the minimal plant demand. Nutrient availability influences terrestrial C sequestration by downregulating photosynthesis, altering allocation patterns, and controlling the decomposition processes (Fleischer, Rammig, et al., 2019; Wang et al., 2010; Wei et al., 2019). For the minimal plant demand on N, it is calculated as the product of maximum N:C ratio and NPP minus resorbed N. The minimal demand on P is modeled similarly as a function of maximum P:C ratio, NPP, and resorbed P. Available nutrients for plant uptake depend on the dynamic of the soil mineral N pool and the soil labile P pool.…”

Section: Methodsmentioning

confidence: 99%

Nutrient Limitations Lead to a Reduced Magnitude of Disequilibrium in the Global Terrestrial Carbon Cycle

et al. 2022

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The terrestrial carbon (C) cycle is shifting to a state of dynamic disequilibrium under a rapid global climate change. However, the magnitude of such disequilibrium is inherently hard to measure directly. Abundant studies have revealed that the availability of nutrients, particularly nitrogen (N) and phosphorus (P), constrains ecosystem productivity and carbon stocks across the globe. However, whether and how nutrient limitation affects the disequilibrium magnitude of the terrestrial C cycle (Xp) has never been evaluated. Here, we developed an approach by combining a process‐based numerical model and an analytical framework to evaluate the role of nutrient limitation on Xp. We found that nutrient limitation did have significant impacts on the Xp. Over the modeled period of 1901–2013, absolute change in Xp was 497.6 PgC under the C‐only run, while it decreased to 155.6 and 124.3 PgC under N and NP limitations, respectively. To understand the underlying reasons, we further disaggregated the changes of Xp into changes in steady‐state C storage and transit C storage with the former being decomposed into a productivity‐driven change, an ecosystem‐C‐residence‐time‐driven (τE‐driven) change, and a change induced by productivity‐τE interactions. We found that nutrient constrained the increase in Xp primarily by dampening the productivity‐driven changes in the steady‐state C storage. Reductions in the productivity‐driven term under N and NP limitations accounted for 94.7% and 94.9%, respectively, of the reductions in the steady‐state C storage. These results indicate that nutrient limitations have profound impacts on future climate‐biosphere feedback by reducing the disequilibrium magnitude of the terrestrial C cycle.

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Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models

Cited by 8 publications

References 62 publications

Uncertainty propagation in a global biogeochemical model driven by leaf area data

Uncertainty propagation in a global biogeochemical model driven by leaf area data

Global change progressively increases foliar nitrogen–phosphorus ratios in China's subtropical forests

Nutrient Limitations Lead to a Reduced Magnitude of Disequilibrium in the Global Terrestrial Carbon Cycle

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