scholarly journals A Meta-Analysis of The Effects of Grazing On Plant Diversity, Biomass and Soil Properties of Alpine Grassland On The Tibetan Plateau

2021 ◽  
Author(s):  
Wenlong Li ◽  
Chenli Liu ◽  
Huakun Zhou ◽  
Wenying Wang ◽  
Jing Xu ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Plant Diversity ◽  
Meta Analysis ◽  
Wiener Index ◽  
Belowground Biomass ◽  
Alpine Grassland ◽  
The Tibetan Plateau ◽  
Soil C ◽  
Soil C And N ◽  
C And N

Abstract Aim As one of the main human disturbance factors in the alpine grassland on the Tibetan Plateau, grazing not only directly affects grassland plant diversity and biomass, but also indirectly changes soil carbon (C) and nitrogen (N) of grassland. Despite of extensive field grazing experiments, the impacts of grazing on grassland diversity, soil C and N remain uncertain due to different grazing management.Methods We conducted a meta-analysis of 70 peer-reviewed publications to evaluate the general response of 11 variables related to alpine grassland plant-soil ecosystems to grazing.Results The results showed that grazing significantly increased species richness, Shannon-Wiener index and Pielou evenness index by 9.8%, 7.3% and 3.7%, respectively. Aboveground biomass, belowground biomass, soil organic carbon, soil total nitrogen, soil C: N ratio and soil moisture decreased by 41.9%, 17.7%, 13.1%, 12.6%, 3.3% and 20.8%, respectively. Soil bulk density and soil pH increased by 17.5% and 2.2%, respectively. Specifically, moderate grazing, long-duration (>5 years) and winter grazing contributed to the increase in the species richness, Shannon-Wiener index, and Pielou evenness index. Aboveground biomass, belowground biomass, soil organic carbon, soil total nitrogen and soil C: N ratio showed a decreasing trend with enhanced grazing intensity. Furthermore, grazing duration, grazing season, livestock type and grassland type also affected alpine grassland plant diversity, biomass, soil C and N.Conclusions Grazing is beneficial to the maintenance of plant diversity, but negatively affects the storage of soil C and N in alpine grassland on the Tibetan Plateau. We suggest that grazing should follow intermediate grazing practice and synthesize other appropriate grazing patterns, such as seasonal and rotation grazing, thus, further research on grazing management is needed in this regard.

Effects of forest management on soil C and N storage: meta analysis

2001 ◽  
Vol 140 (2-3) ◽  
pp. 227-238 ◽  
Author(s):  
Dale W Johnson ◽  
Peter S Curtis
Keyword(s):  
Forest Management ◽  
Meta Analysis ◽  
Soil C ◽  
N Storage ◽  
Soil C And N ◽  
C And N

Divergent effects of elevated CO2, N fertilization, and plant diversity on soil C and N dynamics in a grassland field experiment

2005 ◽  
Vol 272 (1-2) ◽  
pp. 41-52 ◽  
Author(s):  
Feike A. Dijkstra ◽  
Sarah E. Hobbie ◽  
Peter B. Reich ◽  
Johannes M. H. Knops
Keyword(s):  
Field Experiment ◽  
Elevated Co2 ◽  
Plant Diversity ◽  
N Fertilization ◽  
N Dynamics ◽  
Soil C ◽  
Soil C And N ◽  
C And N ◽  
C And N Dynamics

scholarly journals A Meta-Analysis on Degraded Alpine Grassland Mediated by Climate Factors: Enlightenment for Ecological Restoration

2022 ◽  
Vol 12 ◽  
Author(s):  
Jiale Yu ◽  
Lingfan Wan ◽  
Guohua Liu ◽  
Keming Ma ◽  
Hao Cheng ◽  
...  
Keyword(s):  
Ecological Restoration ◽  
Large Scale ◽  
Meta Analysis ◽  
Wiener Index ◽  
Belowground Biomass ◽  
Alpine Grassland ◽  
Tibet Plateau ◽  
Climate Factors ◽  
Available Nitrogen ◽  
Precipitation And Temperature

Alpine grassland is the main ecosystem on the Qinghai-Tibet Plateau (QTP). Degradation and restoration of alpine grassland are related to ecosystem function and production, livelihood, and wellbeing of local people. Although a large number of studies research degraded alpine grassland, there are debates about degradation patterns of alpine grassland in different areas and widely applicable ecological restoration schemes due to the huge area of the QTP. In this study, we used the meta-analysis method to synthesize 80 individual published studies which were conducted to examine aboveground and underground characteristics in non-degradation (ND), light degradation (LD), moderate degradation (MD), heavy degradation (HD), and extreme degradation (ED) of alpine grassland on the QTP. Results showed that aboveground biomass (AGB), belowground biomass (BGB), Shannon-Wiener index (H′), soil moisture (SM), soil organic carbon (SOC), soil total nitrogen (TN), and available nitrogen (AN) gradually decreased along the degradation gradient, whereas soil bulk density (BD) and soil pH gradually increased. In spite of a tendency to soil desertification, losses of other soil nutrients and reduction of enzymes, there was no linear relationship between the variations with degradation gradient. Moreover, the decreasing extent of TN was smaller in areas with higher precipitation and temperature, and the decreasing extent of AGB, SOC, and TN was larger in areas with a higher extent of corresponding variables in the stage of ND during alpine grassland degradation. These findings suggest that in areas with higher precipitation and temperature, reseeding and sward cleavage can be used for restoration on degraded alpine grassland. Fencing and fertilization can be used for alpine grassland restoration in areas with lower precipitation and temperature. Microbial enzymes should not be used to restore degraded alpine grassland on a large scale on the QTP without detailed investigation and analysis. Future studies should pay more attention to the effects of climate factors on degradation processes and specific ecological restoration strategies in different regions of the QTP.

The Impact of Elevated Atmospheric [CO2] on Soil C and N Dynamics: A Meta-Analysis

2006 ◽  
pp. 373-391 ◽  
Author(s):  
K. -J. van Groenigen ◽  
M. -A. de Graaff ◽  
J. Six ◽  
D. Harris ◽  
P. Kuikman ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Atmospheric Co2 ◽  
N Dynamics ◽  
Soil C ◽  
Elevated Atmospheric Co2 ◽  
Soil C And N ◽  
C And N ◽  
The Impact ◽  
C And N Dynamics

scholarly journals Meta-analysis of relationships between environmental factors and aboveground biomass in the alpine grassland on the Tibetan Plateau

2013 ◽  
Vol 10 (3) ◽  
pp. 1707-1715 ◽  
Author(s):  
J. Sun ◽  
G. W. Cheng ◽  
W. P. Li
Keyword(s):  
Soil Moisture ◽  
Tibetan Plateau ◽  
Environmental Factors ◽  
Aboveground Biomass ◽  
Alpine Meadow ◽  
Meta Analysis ◽  
Alpine Grassland ◽  
Mean Annual Precipitation ◽  
The Tibetan Plateau ◽  
Alpine Steppe

Abstract. The Tibetan Plateau, known as the "world's third pole" for its extremely harsh and fragile ecological environment, has attracted great attention because of its sensitivity to global changes. Alpine grassland on the Tibetan Plateau has an important function in the global carbon cycle. Many studies have examined the effects of various environmental factors on biomass distribution. In this study, the relationships between the habitat parameters and the aboveground biomass (AGB) abundance on the Tibetan Plateau were examined through a meta-analysis of 110 field sites across the widely distributed alpine steppe and meadow. The obtained data were then analysed using the classification and regression tree model and the generalized additive model. The results showed that the AGB abundance in alpine steppe was positively correlated with six environmental factors, namely, soil organic carbon density of the top soil layer from 0 cm to 30 cm (SOC30 cm), longitude, mean annual precipitation (MAP), latitude, clay, and soil moisture. For the alpine meadow, five main factors were detected, namely, altitude, soil moisture, nitrogen, MAP, and mean annual temperature. The increased AGB abundance in the alpine steppe was associated with the increased SOC30 cm, MAP, and latitude, and the increased longitude resulted in decreased AGB abundance. For the alpine meadow, altitude and soil moisture showed strongly negative effects on AGB abundance, and soil nitrogen content was positively related to the AGB distribution across all examined sites. Our results suggest the combined effects of meteorological, topographic, and soil factors on the spatial patterns of AGB on the Tibetan Plateau.

SOIL C AND N AS INDICATORS OF VINEYARD SOIL QUALITY IN THE RAVNI KOTARI REGION OF CROATIA

2020 ◽  
Author(s):  
Sonia C. Clemens ◽  
◽  
Mia Brkljaca ◽  
Delaina Pearson ◽  
C. Brannon Andersen
Keyword(s):  
Soil Quality ◽  
Soil C ◽  
Vineyard Soil ◽  
Soil C And N ◽  
C And N

scholarly journals Spatially Related Sampling Uncertainty in the Assessment of Labile Soil Carbon and Nitrogen in an Irish Forest Plantation

2021 ◽  
Vol 11 (5) ◽  
pp. 2139
Author(s):  
Junliang Zou ◽  
Bruce Osborne
Keyword(s):  
Spatial Variability ◽  
Soil Carbon ◽  
Sampling Effort ◽  
Limited Information ◽  
Sampling Area ◽  
Soil C ◽  
Distribution Maps ◽  
Soil C And N ◽  
C And N ◽  
Highly Correlated

The importance of labile soil carbon (C) and nitrogen (N) in soil biogeochemical processes is now well recognized. However, the quantification of labile soil C and N in soils and the assessment of their contribution to ecosystem C and N budgets is often constrained by limited information on spatial variability. To address this, we examined spatial variability in dissolved organic carbon (DOC) and dissolved total nitrogen (DTN) in a Sitka spruce forest in central Ireland. The results showed moderate variations in the concentrations of DOC and DTN based on the mean, minimum, and maximum, as well as the coefficients of variation. Residual values of DOC and DTN were shown to have moderate spatial autocorrelations, and the nugget sill ratios were 0.09% and 0.10%, respectively. Distribution maps revealed that both DOC and DTN concentrations in the study area decreased from the southeast. The variability of both DOC and DTN increased as the sampling area expanded and could be well parameterized as a power function of the sampling area. The cokriging technique performed better than the ordinary kriging for predictions of DOC and DTN, which are highly correlated. This study provides a statistically based assessment of spatial variations in DOC and DTN and identifies the sampling effort required for their accurate quantification, leading to improved assessments of forest ecosystem C and N budgets.

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