A restructured and updated global soil respiration database (SRDB-V5)

Vargas, Rodrigo; Anderson‐Teixeira, Kristina J.; Stell, Emma; Herrmann, Valentine; Horn, Mercedes; Kholod, Nazar; Manzon, Jason; Marchesi, Rebecca; Paredes, Darlin; Bond‐Lamberty, Ben

doi:10.5194/essd-2020-136

Cited by 24 publications

(30 citation statements)

References 21 publications

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“…It is thus unclear whether the slowdown of global R S rise persists in more recent years. Since SRDB is continuously updated (a new version of SRDB is now available 44 ), it is expected that our prediction could be verified with increasing amount of data covering more recent periods. Second, some confounding factors (i.e., soil pH, moisture, and vegetation) are not accounted for in this study, which could affect our results.…”

Section: Resultsmentioning

confidence: 75%

Temporal changes in global soil respiration since 1987

et al. 2021

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As the second-largest terrestrial carbon (C) flux, soil respiration (RS) has been stimulated by climate warming. However, the magnitude and dynamics of such stimulations of soil respiration are highly uncertain at the global scale, undermining our confidence in future climate projections. Here, we present an analysis of global RS observations from 1987–2016. RS increased (P < 0.001) at a rate of 27.66 g C m−2 yr−2 (equivalent to 0.161 Pg C yr−2) in 1987–1999 globally but became unchanged in 2000–2016, which were related to complex temporal variations of temperature anomalies and soil C stocks. However, global heterotrophic respiration (Rh) derived from microbial decomposition of soil C increased in 1987–2016 (P < 0.001), suggesting accumulated soil C losses. Given the warmest years on records after 2015, our modeling analysis shows a possible resuscitation of global RS rise. This study of naturally occurring shifts in RS over recent decades has provided invaluable insights for designing more effective policies addressing future climate challenges.

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Section: Resultsmentioning

confidence: 75%

Temporal changes in global soil respiration since 1987

et al. 2021

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“…Our analysis used 5,741 site‐year (971 sites) annual R S estimates from the newest version of a global soil respiration database, SRDB‐V5 (Jian & Bond‐Lamberty, 2020; Jian et al, 2020). Together with annual R S , 46%, 74%, 63%, 14%, and 89% of measurements also reported collar height (the maximum distance above the soil surface), collar coverage area, collar insertion depth, measurement duration, and measurement frequency information, respectively (Figure 1a); approximately 85% of annual R S were not measured 24‐hourly continuously (Figure 1b); and the majority of annual R S were measured by IRGA, GC, and AA methods (together accounting for more than 97% of the data), with the rest R S measured by EC (0.87%), Gradient (0.82%), and other (0.44%) (Figure 1c).…”

Section: Methodsmentioning

confidence: 99%

“…As no single method has been adopted as the gold standard, scientists around the globe use a variety of disparate methods to measure R S in different climates and plant communities. In the global soil respiration database (version 5, SRDB‐V5) (Jian & Bond‐Lamberty, 2020; Jian, Vargas, et al, 2020), we compiled annual R S data that were collected using different measurement methods; however, the potential sources of error introduced to annual R S estimates due to measurement methodology has not been assessed. Without this analysis it is unknown whether annual R S requires standardization prior to inclusion in synthesis and modeling activities.…”

Section: Introductionmentioning

confidence: 99%

Collar Properties and Measurement Time Confer Minimal Bias Overall on Annual Soil Respiration Estimates in a Global Database

et al. 2020

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Measuring the soil-to-atmosphere carbon dioxide (CO 2) flux (soil respiration, R S) is important to understanding terrestrial carbon balance and to forecasting climate change. Such measurements are frequently made using measurement collars permanently inserted into the soil surface. However, differences in measurement duration and frequency, as well as collar properties, may lead to biases in the estimation of annual R S. Using a newly updated global R S database (SRDB-V5), we investigated the annual R S bias associated with five methodological factors: collar height, collar coverage area, collar insertion depth, measurement duration, and measurement frequency. We found that annual R S was negatively correlated with collar insertion depth, consistent with the idea that collar insertion cuts roots and thus reduces R S. Annual R S was also negatively related with collar height and collar coverage area, perhaps because uniform head-space mixing is difficult to achieve in larger volume chambers; however, these effects were quantitatively small (bias of~2% to 10% of mean R S). We found no correlation of measurement duration or measurement frequency with annual R S. These findings suggest that variation in R S methodology generally introduces minimal bias overall. Therefore, compilations of minimally adjusted annual R S measurements provide a reliable resource for synthesis studies, global annual R S modeling, and investigation of how soil carbon responds to climate change. Plain Language Summary Soil-to-atmosphere carbon dioxide (CO 2) is the second largest component in the terrestrial carbon cycle; thus, our ability to balance the terrestrial carbon budget and forecast climate change relies upon accurate measurements of this process. Collars permanently installed in the soil are commonly used to measure soil-to-atmosphere CO 2. However, differences in collar properties, measurement duration, and measurement frequency may lead to biases in the estimation of annual soil-to-atmosphere CO 2 amount. While many studies on the methodology for measuring soil-to-atmosphere CO 2 have been conducted, a comprehensive evaluation of the influence of collar properties and measurement duration on annual soil-to-atmosphere CO 2 variability has not been investigated before. In this study, we use a global data set to analyze soil-to-atmosphere CO 2 measurement bias related to collar properties and measurement duration. We found that annual soil-to-atmosphere CO 2 amount negatively correlated with collar height and insertion depth but showed no significant relationship to measurement duration and measurement frequency. Overall, collar properties and measurement duration contributed minimal bias. The results provide strong support for compiling site-scale soil-to-atmosphere CO 2 measurements to support synthesis analysis, as well as global soil-to-atmosphere CO 2 modeling.

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“…Associated data, such as stand age, measurement methodologies, and disturbance history, are also included. The database was significantly expanded since the publication of Anderson‐Teixeira et al (2018) through addition of the Global Soil Respiration Database (Bond‐Lamberty & Thomson, 2010; Jian et al, 2020) and the FLUXNET2015 dataset (Pastorello et al, 2020). Additional targeted literature searches were conducted to identify further available data on the fluxes analyzed here, with particular focus on mature forests in temperate and boreal regions, which were not included in the review of Anderson‐Teixeira et al (2016).…”

Section: Methodsmentioning

confidence: 99%

Global patterns of forest autotrophic carbon fluxes

Morgan

Herrmann

Kunert

et al. 2021

Global Change Biology

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Carbon (C) fixation, allocation, and metabolism by trees set the basis for energy and material flows in forest ecosystems and define their interactions with Earth's changing climate. However, while many studies have considered variation in productivity with latitude and climate, we lack a cohesive synthesis on how forest carbon fluxes vary globally with respect to climate and one another. Here, we draw upon 1,319 records from the Global Forest Carbon Database, representing all major forest types and the nine most significant autotrophic carbon fluxes, to comprehensively review how annual C cycling in mature, undisturbed forests varies with latitude and climate on a global scale. Across all flux variables analyzed, rates of C cycling decreased continuously with absolute latitude-a finding that confirms multiple previous studies and contradicts the idea that net primary productivity of temperate forests rivals that of tropical forests. C flux variables generally displayed similar trends across latitude and multiple climate variables, with no differences in allocation detected at this global scale. Temperature variables in general, and mean annual temperature or temperature seasonality in particular, were the best single predictors of C flux, explaining 19%-71% of variation in the C fluxes analyzed. The effects of temperature were modified by moisture availability, with C flux reduced under hot and dry conditions and sometimes under very high precipitation. Annual C fluxes increased with growing season length and were also influenced by growing season climate. These findings clarify how forest C flux varies with latitude and climate on a global scale. In an era when forests will play a critical yet uncertain role in shaping Earth's rapidly changing climate, our synthesis provides a foundation for understanding global patterns in forest C cycling.

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A restructured and updated global soil respiration database (SRDB-V5)

Cited by 24 publications

References 21 publications

Temporal changes in global soil respiration since 1987

Temporal changes in global soil respiration since 1987

Collar Properties and Measurement Time Confer Minimal Bias Overall on Annual Soil Respiration Estimates in a Global Database

Global patterns of forest autotrophic carbon fluxes

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