Spatiotemporal Pattern of Soil Respiration of Terrestrial Ecosystems in China: The Development of a Geostatistical Model and Its Simulation

Yu, Guirui; Zheng, Zhoutao; Wang, Qiufeng; Fu, Yuzhen; Zhuang, Jie; Sun, Xiaomin; Wang, Yuesi

doi:10.1021/es100979s

Cited by 51 publications

(56 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Soil CO 2 emission fluxes between 45.7 and 70.5 mol m −2 yr −1 have been reported for larch forest in northeastern China [ Zu et al , 2009]. In a recent global study based on regional‐scale geostatistical model of spatiotemporal pattern of soil respiration, annual soil respiration rate of 698 ± 11, 439 ± 7, and 555 ± 12 g C m −2 yr −1 have been determined for evergreen broadleaved forests, grasslands, and croplands, respectively [ Yu et al , 2010]. From these reported values, we selected 40 and 60 mol m −2 yr −1 for the lower and upper CO 2 emission flux from soils, respectively.…”

Section: Resultsmentioning

confidence: 99%

Microscopic fungi as significant sesquiterpene emission sources

Horváth¹,

Hoffer²,

Sebők³

et al. 2011

J. Geophys. Res.

View full text Add to dashboard Cite

Among the volatile organic compounds emitted by vegetation, isoprene, monoterpenes, sesquiterpenes, and their derivatives are thought to contribute to secondary organic aerosol formation. Although it is well known that microscopic fungi globally turn over vast amount of carbon by decomposing the organic matter in the soil, vegetation is considered as the exclusive source of biogenic secondary organic aerosol precursors in various atmospheric models. Secondary fungal metabolites including sesquiterpenes have been recognized as characteristic volatile organic compounds emitted by fungi. In the present study, we investigated the rates of sesquiterpene emission of microscopic fungi to establish their potential significance compared to those from vegetation. To sample the headspace of the pure culture of some common fungi, we used an aseptic flow‐through apparatus designed for solid phase microextraction in our laboratory. The identified sesquiterpenes in the headspace extracts were quantified for eight strains of microscopic fungi belonging to four different genera. Our results showed that microscopic fungi emit a considerable amount of sesquiterpenes. Based on our first estimations microscopic fungi may be considered as potentially significant sesquiterpene emission sources whose contribution to secondary organic aerosol formation may be comparable to that of vegetation.

show abstract

Section: Resultsmentioning

confidence: 99%

Microscopic fungi as significant sesquiterpene emission sources

Horváth¹,

Hoffer²,

Sebők³

et al. 2011

J. Geophys. Res.

View full text Add to dashboard Cite

show abstract

“…By synthesizing the Rs dataset from ChinaFLUX and those published in approximately 200 papers in the literature, Yu, Zheng, et al () established an Rs database of China and developed a new region‐scale geostatistical model of soil respiration by modifying a global‐scale statistical model. Based on 333 collected Rs data points, the established model was validated using 57 Rs data points that were not used in the model parametrization.…”

Section: Methodsmentioning

confidence: 99%

“…Based on 333 collected Rs data points, the established model was validated using 57 Rs data points that were not used in the model parametrization. The GSMSR presented a more accurate simulation for China (Yu, Zheng, et al, ), so we used this model on the annual scale as follows:

{Rs}_{month} = ((), 0.588 + 0.118 \times italicSOC) \times e^{ln ((), 1.83 \times e^{- 0.006 \times T}) \times T \div 10} \times ((), P + 2.972) \div ((), P + 5.657) \times 30,

{Rs}_{annual} = \sum_{i = 1}^{12} {Rs}_{month},

where T is the mean monthly air temperature (°C), P is the mean monthly precipitation (cm), and SOC is the topsoil (0–20 cm) organic carbon storage density (kg C/m 2 ), Rs month and Rs annual are the monthly and annual soil respiration, respectively. An interpolation method was used to generate precipitation and temperature maps, and the inverse distance method was used to complete the interpolation process and set the maps as 1‐km grid layers (SI‐3, Figure S3).…”

Section: Methodsmentioning

confidence: 99%

Land degradation monitoring using terrestrial ecosystem carbon sinks/sources and their response to climate change in China

Chuai

Zhang

et al. 2018

Land Degrad Dev

View full text Add to dashboard Cite

Global warming, which is mainly caused by greenhouse gases, can greatly aggravate land degradation; therefore, the examination of the NEP (net ecosystem productivity) and the analysis of its response to climate change are very critical for understanding carbon cycling. Based on Moderate Resolution Imaging Spectroradiometer data, meteorological data, and soil organic carbon data, this study examined the NEP from 2000 to 2013 and investigated how ongoing climate change affects the NEP. The study results indicate that the terrestrial ecosystems in China generally act as net carbon sinks with increasing NEP values. The western inland region and part of northeast China mainly act as carbon sources, with the NEP exhibiting an increasing trend, whereas the other regions mainly act as carbon sinks, with the NEP showing a decreasing trend across large areas of southern China, where the most obvious land degradation occurs. Homogeneity and heterogeneity co‐occur. The general pattern is that ecosystems with high biomass usually have a high NEP value, acting as high carbon sinks in relatively wet and warm environments, but have a low value and even act as carbon sources in dry and cold environments. Both moderate precipitation and temperature are essential in increasing the NEP, whereas lower precipitation and temperatures might have negative effects. Heterogeneity also widely breaks up the general pattern. Temporally, more NEP grids were positively correlated with changes in temperature and showed stronger correlation coefficients with temperature than with precipitation, but the grids showing a significant correlation with these factors accounted for only a small proportion of the total for both precipitation and temperature.

show abstract

“…GPP directly impact R e by providing substrate for respiration and thus is the first order factor controlling R e (Lasslop et al 2010). Autotrophic respiration, which is the major part of R e , respires carbohydrates and photosynthate as substrates (Chiariello et al 2000;Piao et al 2010), while heterotrophic respiration is largely dependent on litter mass and soil organic carbon density, which are related to the magnitude of GPP (Raich and Tufekcioglu 2000;Yu et al 2010). …”

Section: Controlling Factors Of Spatial and Temporal Variations In Eamentioning

confidence: 99%

Part-Time Work and Involuntary Part-Time Work in the Private Service Sector in Finland

Kauhanen

2008

Economic and Industrial Democracy

View full text Add to dashboard Cite

AimsRecent studies revealed convergent temperature sensitivity of ecosystem respiration (R e ) within aquatic ecosystems and between terrestrial and aquatic ecosystems. We do not know yet whether various terrestrial ecosystems have consistent or divergent temperature sensitivity. Here, we synthesized 163 eddy covariance flux sites across the world and examined the global variation of the apparent activation energy (Ea), which characterizes the apparent temperature sensitivity of and its interannual variability (IAV) as well as their controlling factors. MethodsWe used carbon fluxes and meteorological data across FLUXNET sites to calculate mean annual temperature, temperature range, precipitation, global radiation, potential radiation, gross primary productivity and R e by averaging the daily values over the years in each site. Furthermore, we analyzed the sites with >8 years data to examine the IAV of Ea and calculated the standard deviation of Ea across years at each site to characterize IAV. Important FindingsThe results showed a widely global variation of Ea, with significantly lower values in the tropical and subtropical areas than in temperate and boreal areas, and significantly higher values in grasslands and wetlands than that in deciduous broadleaf forests and evergreen forests. Globally, spatial variations of Ea were explained by changes in temperature and an index of water availability with differing contribution of each explaining variable among climate zones and biomes. IAV and the corresponding coefficient of variation of Ea decreased with increasing latitude, but increased with radiation and at Sichuan University on March 15, 2015 http://jpe.oxfordjournals.org/ Downloaded from corresponding mean annual temperature. The revealed patterns in the spatial and temporal variations of Ea and its controlling factors indicate divergent temperature sensitivity of R e , which could help to improve our predictive understanding of R e in response to climate change.

show abstract

Spatiotemporal Pattern of Soil Respiration of Terrestrial Ecosystems in China: The Development of a Geostatistical Model and Its Simulation

Cited by 51 publications

References 19 publications

Microscopic fungi as significant sesquiterpene emission sources

Microscopic fungi as significant sesquiterpene emission sources

Land degradation monitoring using terrestrial ecosystem carbon sinks/sources and their response to climate change in China

Part-Time Work and Involuntary Part-Time Work in the Private Service Sector in Finland

Contact Info

Product

Resources

About