Variations in soil δ13C with alpine meadow degradation on the eastern Qinghai–Tibet Plateau

Geoderma ◽  
2019 ◽  
Vol 338 ◽  
pp. 178-186 ◽  
Author(s):  
Yunfei Zhao ◽  
Xia Wang ◽  
Yansheng Ou ◽  
Haixia Jia ◽  
Jia Li ◽  
...  
Keyword(s):  
Alpine Meadow ◽  
Tibet Plateau ◽  
Qinghai Tibet Plateau ◽  
Alpine Meadow Degradation ◽  
Meadow Degradation

scholarly journals Response of soil microbial communities to alpine meadow degradation severity levels in the Qinghai-Tibet Plateau

2018 ◽  
Author(s):  
wenjuan zhang ◽  
xian xue ◽  
fei peng ◽  
quangang you ◽  
jing pan ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Alpine Meadow ◽  
Tibet Plateau ◽  
Soil Microbial Community Structure ◽  
Soil Microbial ◽  
Qinghai Tibet Plateau ◽  
Alpine Meadow Degradation ◽  
Meadow Degradation

Soil microbial community structure is an effective indicator to reflect changes in soil quality. Little is known about the effect of alpine meadow degradation on the soil bacterial and fungal community. In this study, we used the Illumina MiSeq sequencing method to analyze the microbial community structure of alpine meadow soil in five different degradation levels (i.e., non-degraded (ND), slightly degraded (LD), moderately degraded (MD), severely degraded (SD), and very severely degraded (VD)) in the Qinghai-Tibet Plateau. Proteobacteria, Actinobacteria, and Acidobacteria were the mainly bacterial phyla in meadow soil across all five degradation levels investigated. Basidiomycota was the mainly fungal phylum in ND; however, we found a shift from Basidiomycota to Ascomycota with an increase (severity) in degradation level. The overall proportion of Cortinariaceae exhibited high fungal variability, and reads were highest in ND (62.80%). Heatmaps of bacterial genera and fungal families showed a two-cluster sample division on a genus/family level: (1) an ND and LD group and (2) an SD, VD, and MD group. Redundancy analysis (RDA) showed that 79.7%and 71.3% of the variance in bacterial and fungal composition, respectively, could be explained by soil nutrient conditions (soil organic carbon, total nitrogen, and moisture) and plant properties (below-ground biomass). Our results indicate that meadow degradation affects both plant and soil properties and consequently drives changes in soil microbial community structure.

scholarly journals Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change

2021 ◽  
Vol 13 (4) ◽  
pp. 669
Author(s):  
Hanchen Duan ◽  
Xian Xue ◽  
Tao Wang ◽  
Wenping Kang ◽  
Jie Liao ◽  
...  
Keyword(s):  
Climate Change ◽  
Alpine Meadow ◽  
Global Climate ◽  
Growing Season ◽  
Tibet Plateau ◽  
Vegetation Types ◽  
Analysis Method ◽  
Alpine Steppe ◽  
Qinghai Tibet Plateau ◽  
Variation Trends

Alpine meadow and alpine steppe are the two most widely distributed nonzonal vegetation types in the Qinghai-Tibet Plateau. In the context of global climate change, the differences in spatial-temporal variation trends and their responses to climate change are discussed. It is of great significance to reveal the response of the Qinghai-Tibet Plateau to global climate change and the construction of ecological security barriers. This study takes alpine meadow, alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau as the research objects. The normalized difference vegetation index (NDVI) data and meteorological data were used as the data sources between 2000 and 2018. By using the mean value method, threshold method, trend analysis method and correlation analysis method, the spatial and temporal variation trends in the alpine meadow, alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau were compared and analyzed, and their differences in the responses to climate change were discussed. The results showed the following: (1) The growing season length of alpine meadow was 145~289 d, while that of alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau was 161~273 d, and their growing season lengths were significantly shorter than that of alpine meadow. (2) The annual variation trends of the growing season NDVI for the alpine meadow, alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau increased obviously, but their fluctuation range and change rate were significantly different. (3) The overall vegetation improvement in the Qinghai-Tibet Plateau was primarily dominated by alpine steppe and alpine meadow, while the degradation was primarily dominated by alpine meadow. (4) The responses between the growing season NDVI and climatic factors in the alpine meadow, alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau had great spatial heterogeneity in the Qinghai-Tibet Plateau. These findings provide evidence towards understanding the characteristics of the different vegetation types in the Qinghai-Tibet Plateau and their spatial differences in response to climate change.

Effects of short-term and long-term warming on soil nutrients, microbial biomass and enzyme activities in an alpine meadow on the Qinghai-Tibet Plateau of China

2014 ◽  
Vol 76 ◽  
pp. 140-142 ◽  
Author(s):  
Xuexia Wang ◽  
Shikui Dong ◽  
Qingzhu Gao ◽  
Huakun Zhou ◽  
Shiliang Liu ◽  
...  
Keyword(s):  
Microbial Biomass ◽  
Soil Nutrients ◽  
Enzyme Activities ◽  
Alpine Meadow ◽  
Tibet Plateau ◽  
Short Term ◽  
Qinghai Tibet Plateau

Response of alpine meadow communities to burrow density changes of plateau pika (Ochotona curzoniae) in the Qinghai-Tibet Plateau

2012 ◽  
Vol 32 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Zheng Gang Guo ◽  
Xiao Feng Li ◽  
Xing Yuan Liu ◽  
Xue Rong Zhou
Keyword(s):  
Alpine Meadow ◽  
Tibet Plateau ◽  
Plateau Pika ◽  
Burrow Density ◽  
Ochotona Curzoniae ◽  
Meadow Communities ◽  
Qinghai Tibet Plateau

Effects of Ant Mounds on the Plant and Soil Microbial Community in an Alpine Meadow of Qinghai-Tibet Plateau

2017 ◽  
Vol 28 (5) ◽  
pp. 1538-1548 ◽  
Author(s):  
Changting Wang ◽  
Genxu Wang ◽  
Pengfei Wu ◽  
Rashid Rafique ◽  
Hongbiao Zi ◽  
...  
Keyword(s):  
Microbial Community ◽  
Soil Microbial Community ◽  
Alpine Meadow ◽  
Tibet Plateau ◽  
Soil Microbial ◽  
Qinghai Tibet Plateau ◽  
Ant Mounds

A neural network decision expert system for alpine meadow degradation in the Sanjiangyuan region

2018 ◽  
Vol 22 (S4) ◽  
pp. 8193-8198 ◽  
Author(s):  
Chunmei Li ◽  
Yuming Wang ◽  
Tian Fang ◽  
Xinke Zhou ◽  
Peng Cui
Keyword(s):  
Neural Network ◽  
Expert System ◽  
Alpine Meadow ◽  
Alpine Meadow Degradation ◽  
Meadow Degradation

Effects of alpine meadow degradation on nitrifying and denitrifying microbial communities, and N2O emissions on the Tibetan Plateau

Soil Research ◽  
2021 ◽  
Author(s):  
Lu Zhang ◽  
Xiangtao Wang ◽  
Jie Wang ◽  
Qian Wan ◽  
Lirong Liao ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Microbial Communities ◽  
Alpine Meadow ◽  
N2o Emissions ◽  
The Tibetan Plateau ◽  
Alpine Meadow Degradation ◽  
Meadow Degradation

Fragmentation and percolation thresholds in the degradation process of alpine meadow in the Three-River Headwaters region of Qinghai-Tibetan Plateau, China

2020 ◽  
Vol 42 (3) ◽  
pp. 171
Author(s):  
Huilong Lin ◽  
Feng Zhang
Keyword(s):  
Tibetan Plateau ◽  
Alpine Meadow ◽  
Degradation Process ◽  
Underlying Causes ◽  
Controversial Problem ◽  
Ecological Mechanisms ◽  
Percolation Thresholds ◽  
Alpine Meadow Degradation ◽  
Meadow Degradation

Understanding the process and mechanisms of alpine meadow degradation is crucial for restoration and management in the Three-River Headwaters region, Qinghai-Tibetan Plateau, China. However, little is known about this complex and controversial problem because identification and quantification of the underlying causes is difficult. This research aimed to build a spatiotemporal dynamical model for alpine meadow degradation, capturing the natural process of erosion at the interface of barren patches and undamaged meadow. The model clarified the role of barren patches and meadow connectivity in degradation, and identified the ecological mechanisms and processes accounting for the spatial and temporal pattern of degradation. A fragmentation and percolation threshold exists in the process of meadow degradation, independent of spatial scale. An impulsive differential equation was used to investigate the consequence of periodic restoration of degraded meadow. Both the level of meadow degradation and the restoration period play crucial roles in determining whether the meadow can be successfully restored. This research has demonstrated theoretically that the effectiveness of meadow restoration by periodic effort depends on the degree of degradation.

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