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  • Wiley  (10)
  • Wang, Qingkui  (10)
  • 1
    In: Functional Ecology, Wiley, Vol. 33, No. 3 ( 2019-03), p. 514-523
    Abstract: The response of soil organic carbon (SOC) decomposition to global warming is a potentially major source of uncertainty in climate prediction. However, the magnitude and direction of SOC cycle feedbacks under climate warming remain uncertain because of the knowledge gap about the global‐scale spatial pattern and temperature sensitivity ( Q 10 ) mechanism of SOC decomposition. Here, we collected data of Q 10 and corresponding soil variables from 81 peer‐reviewed papers using laboratory incubation to explore how Q 10 varied among different ecosystems at the global scale and whether labile and recalcitrant SOC pools had equal Q 10 values. Q 10 with a global average of 2.41 substantially varied among different ecosystems, ranging from the highest in cropland soils (2.76) and the lowest in wetland soils (1.84). Hump‐shaped correlations of Q 10 values with the maximum at SOC = 190 g/kg and the minimum at clay = 37% were observed. However, the main influencing factors of Q 10 differed among various ecosystems. Q 10 values showed a clear decrease with increasing incubation temperature but no significant decrease above 25°C. In general, labile SOC was less sensitive than recalcitrant SOC to warming. Structural equation model analyses showed that total N and SOC accounted for 53% and 46%, respectively, of the variation in Q 10 of labile SOC and recalcitrant SOC. This finding suggested that Q 10 values of labile and recalcitrant SOC pools had different controlling factors. Our findings highlighted the importance of Q 10 ’s variations in ecosystem types and the response of recalcitrant SOC to warming in predicting the soil C cycling and its feedback to climate change. Therefore, ecosystem type and difference in Q 10 of labile and recalcitrant SOC should be considered to precisely predict the soil C dynamics under global warming. A plain language summary is available for this article.
    Type of Medium: Online Resource
    ISSN: 0269-8463 , 1365-2435
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2019
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  • 2
    In: Ecology, Wiley, Vol. 97, No. 10 ( 2016-10), p. 2834-2843
    Abstract: Nitrogen addition has been shown to affect plant litter decomposition in terrestrial ecosystems. The way that nitrogen deposition impacts the relationship between plant litter decomposition and altered soil nitrogen availability is unclear, however. This study examined 18 co‐occurring litter types in a subtropical forest in China in terms of their decomposition (1 yr of exposure in the field) with nitrogen addition treatment (0, 0.4, 1.6, and 4.0 mol·N·m −2 ·yr −1 ) and soil fauna exclusion (litter bags with 0.1 and 2 cm mesh size). Results showed that the plant litter decomposition rate is significantly reduced because of nitrogen addition; the strength of the nitrogen addition effect is closely related to the nitrogen addition levels. Plant litters with diverse quality responded to nitrogen addition differently. When soil fauna was present, the nitrogen addition effect on medium‐quality or high‐quality plant litter decomposition rate was −26% ± 5% and −29% ± 4%, respectively; these values are significantly higher than that of low‐quality plant litter decomposition. The pattern is similar when soil fauna is absent. In general, the plant litter decomposition rate is decreased by soil fauna exclusion; an average inhibition of −17% ± 1.5% was exhibited across nitrogen addition treatment and litter quality groups. However, this effect is weakly related to nitrogen addition treatment and plant litter quality. We conclude that the variations in plant litter quality, nitrogen deposition, and soil fauna are important factors of decomposition and nutrient cycling in a subtropical forest ecosystem.
    Type of Medium: Online Resource
    ISSN: 0012-9658 , 1939-9170
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2016
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  • 3
    Online Resource
    Online Resource
    Wiley ; 2018
    In:  Environmental Microbiology Vol. 20, No. 1 ( 2018-01), p. 111-123
    In: Environmental Microbiology, Wiley, Vol. 20, No. 1 ( 2018-01), p. 111-123
    Abstract: World‐wide conversion of natural forests to other land uses has profound effects on soil microbial communities. However, how soil microbial β‐diversity responds to land‐use change and its driving mechanisms remains poorly understood. In this study, therefore, we examined the effect of forest conversion from native broad‐leaved forest to coniferous plantation on soil microbial β‐diversity and its underlying mechanisms in both summer and winter in subtropical China. Microbial communities increasingly differed in structure as geographical distance between them increased, and the slope of the relationship among distances and community similarity differed among forest covers. In general, as with microbial β‐diversity, slopes also shifted across seasons. Finally, null deviations of bacterial and fungal communities were lower in coniferous plantation and presented opposing seasonal variations with greater influences of deterministic processes in summer for soil fungi and in winter for soil bacteria. Integrating previous frameworks with our β‐null model results, we propose a conceptual model to link microbial secondary succession to stochastic/deterministic shifts in forest ecosystems. Overall, forest conversion induced significant increases in stochastic processes in both bacterial and fungal community assemblies. Therefore, our results highlight the importance of spatiotemporal scales to assess the influence of land‐use change on microbial β‐diversity.
    Type of Medium: Online Resource
    ISSN: 1462-2912 , 1462-2920
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2020213-1
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  • 4
    In: Oikos, Wiley, Vol. 2023, No. 7 ( 2023-07)
    Abstract: Living roots and their rhizodeposits can accelerate or decelerate the decomposition of soil organic matter which refers to the rhizosphere priming effect (RPE). However, whereas plant traits are thought to be key factors controlling the RPE, little is known about how root traits representative of plant biomass allocation, morphology, architecture, or physiology influence the magnitude of the RPE. Using a natural abundance 13 C tracer method allowing partitioning of native soil organic carbon (SOC) decomposition and plant rhizosphere respiration, we studied here the effects of eight C 3 tree species featuring contrasting functional traits on C 4 soil respiration over a 204‐day period in a microcosm experiment. All tree species enhanced the rate of SOC decomposition, by 82% on average, but the strength of the rhizosphere priming significantly differed among species. Mean diameter of first‐order roots and root exudate‐derived respiration were positively correlated with the RPE, together explaining a large part of observed variation in the RPE ( R 2  = 0.72), whereas root branching density was negatively associated with the RPE. Path analyses further suggested that mean diameter of first‐order roots was the main driver of the RPE owing to its positive direct effect on the RPE and its indirect effects via root exudate‐derived respiration and root branching density. Our study demonstrates that the magnitude of the RPE is regulated by complementary aspects of root morphology, architecture and physiology, implying that comprehensive approaches are needed to reveal the multiple mechanisms driving plant effects on the RPE. Overall, our results emphasize the relevance of integrating root traits in biogeochemical cycling models to improve model performance for predicting soil C dynamics.
    Type of Medium: Online Resource
    ISSN: 0030-1299 , 1600-0706
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
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  • 5
    In: Global Change Biology, Wiley, Vol. 27, No. 10 ( 2021-05), p. 2039-2048
    Abstract: Optimal methods for incorporating soil microbial mechanisms of carbon (C) cycling into Earth system models (ESMs) are still under debate. Specifically, whether soil microbial physiology parameters and residual materials are important to soil organic C (SOC) content is still unclear. Here, we explored the effects of biotic and abiotic factors on SOC content based on a survey of soils from 16 locations along a ~4000 km forest transect in eastern China, spanning a wide range of climate, soil conditions, and microbial communities. We found that SOC was highly correlated with soil microbial biomass C (MBC) and amino sugar (AS) concentration, an index of microbial necromass. Microbial C use efficiency (CUE) was significantly related to the variations in SOC along this national‐scale transect. Furthermore, the effect of climatic and edaphic factors on SOC was mainly via their regulation on microbial physiological properties (CUE and MBC). We also found that regression models on explanation of SOC variations with microbial physiological parameters and AS performed better than the models without them. Our results provide the empirical linkages among climate, microbial characteristics, and SOC content at large scale and confirm the necessity of incorporating microbial biomass and necromass pools in ESMs under global change scenarios.
    Type of Medium: Online Resource
    ISSN: 1354-1013 , 1365-2486
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2020313-5
    SSG: 12
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  • 6
    In: Land Degradation & Development, Wiley, Vol. 31, No. 18 ( 2020-12), p. 2858-2871
    Abstract: The rhizosphere is an important hotspot of soil microbial activity, diversity, and functions. Despite being a microbial hotspot, studies have seldom addressed the differences in the response of the microbial community in bulk and rhizosphere soils to domestic animal disturbance. Here, we investigated grassland disturbance by physical uprooting behaviours of Tibetan pigs ( Sus scrofa domesticus ) on bacterial taxonomy and functions in three soil types: Histosols, Fluvisols, and Gleysols which are dominant on the Qinghai‐Tibet Plateau. We found that after 8 years of continued disturbance, compared to the undisturbed sites, disturbance consistently reduced rhizosphere bacterial α diversity (by 34.6% on average), restructured taxonomic communities, and weakened their carbon substrate utilization capacities in all soil types. The relative abundance of the phyla Proteobacteria, Actinobacteria, and Bacteriodetes increased, but the relative abundance of Acidobacteria, Chloroflexi, and Nitrospirae decreased in the rhizosphere under disturbance. In contrast, most detected taxonomic changes in bulk soils were minor, and their changing directions were divergent among studied soil types. Compared to the undisturbed, carbon utilization potential by rhizosphere microbes decreased under disturbance and the decrease extent was stronger (by 30.4% on average) than that in bulk soil. The strengthened environmental filtering, imposed by the significant reduction of soil water‐holding capacity and nutrient contents as well as the physical destruction of soil aggregates after disturbance, provided mechanistic insight into the extensive microbial restructuring within the rhizosphere. These results may have implications for recognizing changed root‐microbe interactions and ecological processes in disturbed soils for better understanding soil ecology under intensified herding activities.
    Type of Medium: Online Resource
    ISSN: 1085-3278 , 1099-145X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2021787-0
    detail.hit.zdb_id: 1319202-4
    SSG: 14
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  • 7
    In: Global Ecology and Biogeography, Wiley, Vol. 32, No. 1 ( 2023-01), p. 120-131
    Abstract: Soil organic carbon (SOC) stabilization has become an important topic in recent years in the context of global climate change. Microbial residues represent a significant component of stabilized SOC pools. However, spatial variations in the contributions of bacterial and fungal residues to SOC and their determinants at a continental scale remain poorly understood. We aimed to evaluate the spatial variations and controls of the contributions of microbial residues to SOC in forest topsoil. Location North–south transect in eastern China. Time period 2014. Major taxa studied Forest ecosystems. Methods A total of 195 surface (0–10 cm) soils were sampled from 28 forest sites across tropical and boreal forests in eastern China from July to August to assess how biotic and abiotic factors govern the geographic patterns of the contributions of soil microbial residues (indicated by amino sugars) to SOC. Results Fungal residues (30.0%) had a greater average contribution to SOC than bacterial residues (15.5%). The contributions of bacterial (CBR) and total microbial residues (CMR) to SOC showed negative latitudinal patterns and were positively correlated with mean annual temperature (MAT). In contrast, the contribution of fungal residues to SOC (CFR) showed no clear geographic or climatic patterns. On average, the CBR (9.7%), CFR (21.1%) and CMR (30.8%) were lower in boreal forests than in other biome forests. SOC concentration negatively mediated CBR, CFR and CMR. The piecewise structural equation model results showed that MAT was the primary driver of the geographic pattern of CBR, whereas SOC and soil carbon : nitrogen ratio were more directly associated with the CFR. Additionally, plant factors and microbial properties (i.e., microbial biomass and composition) played relatively little roles in regulating CBR, CFR and CMR. Main conclusions These findings advance the current knowledge of the different geographic patterns of CBR and CFR regulated by different potential mechanisms in forest ecosystems. This highlights that the dynamics of microbial residues could potentially have unexpected consequences for topsoil SOC stocks under climate change.
    Type of Medium: Online Resource
    ISSN: 1466-822X , 1466-8238
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1479787-2
    detail.hit.zdb_id: 2021283-5
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  • 8
    In: Global Change Biology, Wiley, Vol. 24, No. 7 ( 2018-07), p. 2841-2849
    Abstract: Understanding the temperature sensitivity ( Q 10 ) of soil organic C ( SOC ) decomposition is critical to quantifying the climate–carbon cycle feedback and predicting the response of ecosystems to climate change. However, the driving factors of the spatial variation in Q 10 at a continental scale are fully unidentified. In this study, we conducted a novel incubation experiment with periodically varying temperature based on the mean annual temperature of the soil origin sites. A total of 140 soil samples were collected from 22 sites along a 3,800 km long north–south transect of forests in China, and the Q 10 of soil microbial respiration and corresponding environmental variables were measured. Results showed that changes in the Q 10 values were nonlinear with latitude, particularly showing low Q 10 values in subtropical forests and high Q 10 values in temperate forests. The soil C:N ratio was positively related to the Q 10 values, and coniferous forest soils with low SOC quality had higher Q 10 values than broadleaved forest soils with high SOC quality, which supported the “C quality temperature” hypothesis. Out of the spatial variations in Q 10 across all ecosystems, gram‐negative bacteria exhibited the most importance in regulating the variation in Q 10 and contributed 25.1%, followed by the C:N ratio (C quality), fungi, and the fungi:bacteria ratio. However, the dominant factors that regulate the regional variations in Q 10 differed among the tropical, subtropical, and temperate forest ecosystems. Overall, our findings highlight the importance of C quality and microbial controls over Q 10 value in China's forest ecosystems. Meanwhile, C dynamics in temperate forests under a global warming scenario can be robustly predicted through the incorporation of substrate quality and microbial property into models.
    Type of Medium: Online Resource
    ISSN: 1354-1013 , 1365-2486
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2020313-5
    SSG: 12
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  • 9
    In: Global Ecology and Biogeography, Wiley, Vol. 32, No. 1 ( 2023-01), p. 107-119
    Abstract: Palaeoclimate legacies have been reported to influence microbial communities and carbon (C) stocks even after thousands of years. However, the direct and indirect influences of climate legacies on microbial C processes remain poorly understood and thus limit our capacity to predict how climate legacies regulate C cycling. Here, we conducted microbial, soil and vegetation surveys along a continental latitudinal transect of 4200 km covering a wide range of forest biomes. With these data, we evaluated the potential capacity of climate legacies to predict direct and indirect variations in microbial metabolic quotient (MMQ) across and within three main forest biomes: tropical, subtropical and temperate forests. Location North–south transect (4200 km), China. Time period 2019. Major taxa studied Soil microbes. Methods We used molecular ecology technology to determine microbial biomass and diversity, in addition to a soil incubation experiment to measure MMQ. Results Palaeoclimate explained a unique portion of the variation in the continental distribution of MMQ, which showed a hump‐shaped pattern with latitude. Locations with increased isothermality (an index of temperature) over the last 20,000 years also showed the highest MMQ in the present day. Moreover, we found multiple indirect effects of climate legacies on MMQ caused either by changes in key soil properties, such as soil organic carbon and ammonium (NH 4 + ), in lower latitudinal regions or by plant traits in higher latitudinal regions. Furthermore, MMQ was positively related to bacterial richness but negatively to fungal richness across forest biomes. Main conclusions Climate legacies associated with continuous changes in temperature over the last 20,000 years influenced MMQ across forest biomes. Our findings demonstrate that including climate legacies in climate carbon models is essential for better prediction of the microbe‐driven ecosystem processes under global environmental change.
    Type of Medium: Online Resource
    ISSN: 1466-822X , 1466-8238
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1479787-2
    detail.hit.zdb_id: 2021283-5
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  • 10
    In: Land Degradation & Development, Wiley, Vol. 32, No. 2 ( 2021-01-30), p. 936-945
    Abstract: The temperature sensitivity ( Q 10 ) of soil organic carbon (SOC) decomposition is an important parameter for those seeking accurate projections of SOC dynamics and its feedback on climate change in terrestrial ecosystems. However, how Q 10 responds to N deposition across environmental gradients and the underlying mechanism remain largely unresolved. We conducted a novel incubation experiment with periodically varying temperature based on the of soil origin sites to elucidate the responses of Q 10 to N addition across China. Our results demonstrated that N addition effects (NAEs) on Q 10 were negatively related to latitude and were strongly site dependent. Bioclimatic, edaphic, and microbial variables together explained 50.1% of the total variation in NAEs on Q 10 , but bioclimate (16.0%) had the greater explanation than edaphic (11.8%) and microbial properties (6.3%). The response of soil exchangeable Ca 2+ to N addition was a predictive power for NAEs on Q 10 , contributing 7.2% relative importance in regulating this variation. Furthermore, arbuscular mycorrhizal fungi indicated by Glomeromycota were the best microbial predictor and contributed 10.9% relative importance in the variation regulating NAEs on Q 10 . Overall, our results suggest that increasing N addition will increase the sensitivity of SOC decomposition to global warming and highlight the importance of bioclimate, exchangeable Ca 2+ , and arbuscular mycorrhizal fungi in predicting the response of Q 10 to N deposition in natural terrestrial ecosystems. The biogeographic variation in response of Q 10 to N deposition should be considered in carbon‐climate models to decrease the prediction uncertainties of SOC dynamics and its feedback to global warming.
    Type of Medium: Online Resource
    ISSN: 1085-3278 , 1099-145X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2021787-0
    detail.hit.zdb_id: 1319202-4
    SSG: 14
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