scholarly journals Spatial and temporal characteristics of land use and cover changes in the Tibetan Plateau

2019 ◽  
Vol 64 (27) ◽  
pp. 2865-2875 ◽  
Author(s):  
Xiuhong Wang ◽  
Yili Zhang ◽  
Xue Wu ◽  
Du Zheng ◽  
Zhaofeng Wang ◽  
...  
2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Jiming Jin ◽  
Shihua Lu ◽  
Suosuo Li ◽  
Norman L. Miller

Observational data show that the remotely sensed leaf area index (LAI) has a significant downward trend over the east Tibetan Plateau (TP), while a warming trend is found in the same area. Further analysis indicates that this warming trend mainly results from the nighttime warming. The Single-Column Atmosphere Model (SCAM) version 3.1 developed by the National Center for Atmospheric Research is used to investigate the role of land use change in the TP local climate system and isolate the contribution of land use change to the warming. Two sets of SCAM simulations were performed at the Xinghai station that is located near the center of the TP Sanjiang (three rivers) Nature Reserve where the downward LAI trend is largest. These simulations were forced with the high and low LAIs. The modeling results indicate that, when the LAI changes from high to low, the daytime temperature has a slight decrease, while the nighttime temperature increases significantly, which is consistent with the observations. The modeling results further show that the lower surface roughness length plays a significant role in affecting the nighttime temperature increase.


2016 ◽  
Vol 17 (6) ◽  
pp. 1626-1634 ◽  
Author(s):  
Caiyun Luo ◽  
Shiping Wang ◽  
Liang Zhao ◽  
Shixiao Xu ◽  
Burenbayin Xu ◽  
...  

2018 ◽  
Vol 10 (10) ◽  
pp. 3477 ◽  
Author(s):  
Fuqiang Dai ◽  
Zhiqiang Lv ◽  
Gangcai Liu

Ecologically fragile cropland soils and intensive agricultural production are characteristic of the valley area of the Tibetan Plateau. A systematic assessment of soil quality is necessary and important for improving sustainable cropland management in this area. This study aims to establish a minimum data set (MDS) for soil quality assessment and generate an integrated soil quality index for sustainable cropland management in the Tibetan Plateau. Soil samples were collected from the 0–20 cm depths of agricultural land in the middle and lower reaches of the Lhasa River. These samples were analyzed by routine laboratory methods. Significant differences were identified via statistical test between different soil types and land use types for each soil property. Principal component analysis was used to define a MDS of indicators that determine soil quality. Consequently, effective porosity, pH, total organic C, total N, available P, and catalase were identified as the final MDS. The soil quality index was obtained by the fuzzy-set membership function and the linear weighted additive method. The soil quality index differed significantly between the soil types and land use types. The soil quality can be ranked based on their indices in the following order: 1. Grain land with meadow soils, 2. Grain land with steppe soils, 3. Greenhouse vegetable land with fluvo-aquic soils, 4. Grain land with fluvo-aquic soils. The soils with higher soil quality indices exhibited better soil structure, higher nutrient contents, and superior resistance to water and nutrient loss. While the intensive tillage practices associated with vegetable production could reduce the values for effective porosity, pH and catalase, the application of appropriate fertilizers increased the values for total organic C, total N and available P. Therefore, the MDS method is an effective and useful tool to identify the key soil properties for assessing soil quality, and provides guidance on adaptive cropland management to a variety of soil types and land use types.


2012 ◽  
Vol 124 ◽  
pp. 161-169 ◽  
Author(s):  
Zhenhua Zhang ◽  
Jichuang Duan ◽  
Shiping Wang ◽  
Caiyun Luo ◽  
Xiaofeng Chang ◽  
...  

2020 ◽  
Vol 125 (4) ◽  
Author(s):  
Meta Francis Justine ◽  
Kaiwen Pan ◽  
Nambajimana Jean de Dieu ◽  
Fidele Karamage ◽  
Zebene Tadesse ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document