Global Self‐Similar Scaling of Terrestrial Carbon With Aridity

Yin, Jun; Porporato, Amilcare

doi:10.1029/2022gl101040

Cited by 4 publications

(7 citation statements)

References 51 publications

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“…For instance, these can be modified so as to capture τ * across climatic gradients, while information on CV( τ TO ) could be used to develop upscaling algorithms that account for heterogeneity in land use/land cover and soil properties within a model grid. In future investigations, we will leverage our results and other recent findings (e.g., Yin & Porporato, 2023) to develop a unified theoretical framework to explain the emergent climatic controls on soil C stock and turnover.…”

Section: Discussionmentioning

confidence: 76%

“…In future investigations, we will leverage our results and other recent findings (e.g., Yin & Porporato, 2023) to develop a unified theoretical framework to explain the emergent climatic controls on soil C stock and turnover.…”

Section: Discussionmentioning

confidence: 84%

“…Although previous studies have shown that precipitation may be an important driver of the turnover of ecosystem C that is, the sum of both above‐ and below‐ground C (Carvalhais et al., 2014; Eglinton et al., 2021; Fan et al., 2022), little is known about whether and to what extent water availability regulates soil C turnover specifically. Interestingly, recent work identified a self‐similar scaling of global C stocks with the AI (Yin & Porporato, 2023), serving as further evidence of the primary role of hydrology. In this study, we further reveal a universal power law scaling of τ TO and in particular τ * with AI in warm climates across the globe.…”

Section: Resultsmentioning

confidence: 92%

“…In this regard, Yin and Porporato (2023) revealed a global self‐similar power law scaling of normalized C stocks with AI, that is, C stocks can be estimated through a power law function of the AI, using a unique exponent throughout the whole range of AI values. This self‐similar scaling underlines the unique role of aridity in regulating large scale soil C stocks (e.g., Burke et al., 1989; Falloon et al., 2011; Ise & Moorcroft, 2006).…”

Section: Introductionmentioning

confidence: 99%

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Emergent Climatic Controls on Soil Carbon Turnover and Its Variability in Warm Climates

Huang,

Wu,

Calabrese

2023

Geophysical Research Letters

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Climate plays a critical role in altering soil carbon (C) turnover and long‐term soil C storage by regulating water availability and temperature, and in turn biological activity. However, a systematic analysis of how key climatic factors shape the global patterns of soil C turnover is still lacking. Using global observation‐based data sets and a transit time theory, here we show that—excluding croplands and cold regions—soil C turnover time (τTO) and its variability are strongly related to ecosystem aridity through a power law scaling. According to such a relation, soil C turnover is faster but also more variable in wetter regions, suggesting more complex C cycling processes. The observed scaling of τTO and its coefficient of variation with aridity underlines the fundamental controls of climate on soil C turnover and may help reconcile soil C models with empirical observations for improved projection of soil C dynamics under climate change.

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Section: Discussionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 84%

Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Emergent Climatic Controls on Soil Carbon Turnover and Its Variability in Warm Climates

Huang,

Wu,

Calabrese

2023

Geophysical Research Letters

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“…Thus, the vegetation distribution and soil environment will directly affect C storage in land ecosystems (Yin and Porporato 2023).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal variation and future multi-scenario simulation of carbon storage in Bailong River Basin using GeoSOS-FLUS and InVEST models

Wang

Zhang

Ding

et al. 2023

Preprint

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By providing a scientific foundation for managing regional ecosystem carbon (C) pools, research on the spatial distribution characteristics of regional C stocks can assist in the development of policies on C emissions reduction and sequestration enhancement. Using the GeoSOS-FLUS and InVEST models and explorations of the Bailong River Basin in the past 20 years, the influence of three future scenarios of land use change—natural development (ND), ecological protection (EP) and arable land protection (ALP)—on C storage was modelled. Between 2000 and 2020, there was a gradual increase in C storage in the BRB with a total increase of 5.58 Tg (3.19%), showing notable spatial heterogeneity. The increase in C storage was attributed to land use conversion among woodland, arable land and grassland, with the conversion between woodland and arable land being the primary factor contributing to the increase in C storage. By 2050, C storage under the EP, ALP and NP scenarios was 183.915, 183.108 and 183.228 Tg, respectively. In 2050, C storage under the EP scenario increased by 0.37% compared with that in 2020, and decreased by 0.07% and 0.005% under the ALP and NP scenarios, respectively. In contrast to the other scenarios, the EP scenario prioritised the protection of the woodland and grassland C sinks, which has significant implications for future planning.

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Global Distribution of Climatic Aridity

Yin,

Porporato

2023

Geophysical Research Letters

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Aridity exerts fundamental controls on terrestrial hydrology with impacts on ecosystems and society. Here we show that the global distribution of dryness index is dominated by the exponential variability of precipitation. The resulting distribution of the dryness index only has one parameter describing the balance between global mean atmospheric water demand and supply. Its shape, with a minus two power‐law tail, is well supported by observations and appears to be robust to future changes in aridity, making it a possible benchmark for Earth System Models.

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Global Self‐Similar Scaling of Terrestrial Carbon With Aridity

Cited by 4 publications

References 51 publications

Emergent Climatic Controls on Soil Carbon Turnover and Its Variability in Warm Climates

Emergent Climatic Controls on Soil Carbon Turnover and Its Variability in Warm Climates

Spatio-temporal variation and future multi-scenario simulation of carbon storage in Bailong River Basin using GeoSOS-FLUS and InVEST models

Global Distribution of Climatic Aridity

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