Characteristics of Soil Extracellular Enzymes and Stoichiometry Along the Elevation Gradient and Their Controlling Factors in Qinghai-Tibet Plateau, China

2022 ◽  
Author(s):  
Yanxia Pan ◽  
Xinrong Li ◽  
Zengru Wang ◽  
Li Feng ◽  
Lei Huang ◽  
...  
Keyword(s):  
Extracellular Enzymes ◽  
Elevation Gradient ◽  
Controlling Factors ◽  
Tibet Plateau ◽  
Qinghai Tibet Plateau

scholarly journals Brief Communication: Evaluation and comparisons of permafrost map over Qinghai-Tibet Plateau based on inventory of in-situ evidence

2018 ◽  
Author(s):  
Bin Cao ◽  
Tingjun Zhang ◽  
Qinghai Wu ◽  
Yu Sheng ◽  
Lin Zhao ◽  
...  
Keyword(s):  
Controlling Factors ◽  
In Situ Measurements ◽  
Tibet Plateau ◽  
Permafrost Region ◽  
Improved Method ◽  
Limited Evidence ◽  
Wide Range ◽  
Communication Evaluation ◽  
Qinghai Tibet Plateau

Abstract. Many maps have been produced to estimate permafrost distribution over the Qinghai-Tibet Plateau, however, the evaluation and comparisons of them are poorly understood due to limited evidence. Using a large number data from various sources, we present the inventory of permafrost presence/absence with 1475 sites/plots over the QTP. Based on the in-situ measurements, our evaluation results showed a wide range of map performance with the overall accuracy of about 59–82 %, and the estimated permafrost region (1.42–1.84 × 106 km2) and area (0.76–1.25 × 106 km2) are extremely large. The low agreement in areas near permafrost boundary and fragile landscapes require improved method considering more controlling factors at both medium-large and local scales.

Patterns of grassland community composition and structure along an elevational gradient on the Qinghai-Tibet Plateau

2021 ◽  
Author(s):  
Xin Wang ◽  
Jiangling Zhu ◽  
Shitao Peng ◽  
Tianli Zheng ◽  
Zhaoyu Qi ◽  
...  
Keyword(s):  
Community Composition ◽  
Elevation Gradient ◽  
Elevational Gradient ◽  
Tibet Plateau ◽  
Equation Modeling ◽  
Grassland Community ◽  
Β Diversity ◽  
Composition And Structure ◽  
Α Diversity ◽  
Qinghai Tibet Plateau

Abstract Aims Grasslands in the Qinghai-Tibet Plateau play an important role in preserving ecological security and high biodiversity in this region. However, the distribution of the composition and structure of plant community and the mechanism by which it maintains itself in this region is still poorly understood. Methods Here, we designed 195 grassland plots in 39 grassland sites along an approximately 1700-m elevation gradient on the Northeastern Qinghai-Tibet Plateau. Important findings We found that the grassland community height decreased significantly with the increase of elevation, while community coverage did not demonstrate significant changes. With the increase of elevation, the plant species richness (α diversity) increased significantly, but the community variability (β diversity) decreased significantly. The constrained clustering analysis suggested that the α- and β-diversity in the grasslands transformed gradually with elevation, and three discontinuous points (based on community structure) were observed at elevation of 3640, 4252 and 4333 m. Structural equation modeling (SEM) indicated that the increase of precipitation and the decrease of temperature significantly positively influenced α diversity, which was negatively correlated with β diversity. These results demonstrate that the community composition and structure presented a quantitative-to-qualitative change along this elevational gradient on the Qinghai-Tibet Plateau.

Evapotranspiration and its dominant controls along an elevation gradient in the Qinghai Lake watershed, northeast Qinghai-Tibet Plateau

2019 ◽  
Vol 575 ◽  
pp. 257-268 ◽  
Author(s):  
Yu-Jun Ma ◽  
Xiao-Yan Li ◽  
Lei Liu ◽  
Xiao-Fan Yang ◽  
Xiu-Chen Wu ◽  
...  
Keyword(s):  
Elevation Gradient ◽  
Tibet Plateau ◽  
Qinghai Lake ◽  
Qinghai Tibet Plateau

scholarly journals Brief communication: Evaluation and inter-comparisons of Qinghai–Tibet Plateau permafrost maps based on a new inventory of field evidence

2019 ◽  
Vol 13 (2) ◽  
pp. 511-519 ◽  
Author(s):  
Bin Cao ◽  
Tingjun Zhang ◽  
Qingbai Wu ◽  
Yu Sheng ◽  
Lin Zhao ◽  
...  
Keyword(s):  
Kappa Coefficient ◽  
Controlling Factors ◽  
In Situ Measurements ◽  
Tibet Plateau ◽  
Field Evidence ◽  
Wide Range ◽  
Communication Evaluation ◽  
Qinghai Tibet Plateau ◽  
Variable Landscapes

Abstract. Many maps have been produced to estimate permafrost distribution over the Qinghai–Tibet Plateau (QTP), but the errors and biases among them are poorly understood due to limited field evidence. Here we evaluate and inter-compare the results of six different QTP permafrost maps with a new inventory of permafrost presence or absence comprising 1475 field sites compiled from various sources. Based on the in situ measurements, our evaluation results showed a wide range of map performance, with Cohen's kappa coefficient from 0.21 to 0.58 and an overall accuracy between about 55 % and 83 %. The low agreement in areas near the boundary between permafrost and non-permafrost and in spatially highly variable landscapes highlights the need for improved mapping methods that consider more controlling factors at both medium–large and local scales.

scholarly journals Spatio-temporal variations in terrestrial water storage and its controlling factors in the Eastern Qinghai-Tibet Plateau

2020 ◽  
Author(s):  
Yu Zhu ◽  
Shiyin Liu ◽  
Ying Yi ◽  
Miaomiao Qi ◽  
Wanqiu Li ◽  
...  
Keyword(s):  
Hydrological Model ◽  
Water Storage ◽  
Temporal Variations ◽  
Controlling Factors ◽  
Tibet Plateau ◽  
Terrestrial Water Storage ◽  
Terrestrial Water ◽  
Spatio Temporal ◽  
Qinghai Tibet Plateau ◽  
Level 2

Abstract The nature of the heterogeneity of terrestrial water storage (TWS) in the Eastern Qinghai-Tibet Plateau (EQTP) is poorly understood because of the lack of validated datasets and the complex topographical conditions. In this study, monthly GRACE Level 2 Release 6 (RL06) products were employed to characterize TWS changes between April 2002 and August 2016 in the EQTP. Based on the observations and hydrological model output, the dominant factors contributing to the changes in TWS in sub-basins, and areas of TWS decrease and increase were analyzed systematically. We concluded that the TWS in the EQTP showed a slight decreasing trend from 2002 to 2016 with obvious spatial heterogeneity. The decrease in TWS may be attributed to the increase in evapotranspiration, which explains approximately 59% of the variations. In the region where a substantial decrease in TWS was observed, the trend primarily depended on evapotranspiration, and was certainly affected by glacial ablation. Moreover, the expansion of lakes supplemented by glaciers was the main cause of TWS change in the areas where TWS increased. A decrease in TWS mainly occurred in summer and was mainly due to the increase in evapotranspiration because of warming, an increase in wind speed, and a decrease in relative humidity.

Sign in / Sign up

Export Citation Format

Share Document