Spatial pattern and driving factors of migrants on the Qinghai-Tibet Plateau: Insights from short-distance and long-distance population migrants

2021 ◽  
Vol 31 (2) ◽  
pp. 215-230
Author(s):  
Wei Qi ◽  
Jiawei Yi
2021 ◽  
Vol 31 (2) ◽  
pp. 195-214
Author(s):  
Nan Wang ◽  
Huimeng Wang ◽  
Yunyan Du ◽  
Jiawei Yi ◽  
Zhang Liu ◽  
...  

Phytotaxa ◽  
2016 ◽  
Vol 286 (1) ◽  
pp. 23 ◽  
Author(s):  
GUOQIAN HAO ◽  
IHSAN A. AL-SHEHBAZ ◽  
QIANLONG LIANG ◽  
QIAN WANG ◽  
JIANQUAN LIU

Eutrema tianshanense, a new species of Brassicaceae growing near to the permanent glaciation area in the Tian Shan Mountains of central Asia, is described. It is quite similar morphologically to E. heterophyllum, and E. racemosum from the Qinghai-Tibet Plateau and adjacent regions, and to E. edwardsii of Qinghai-Tibet Plateau, Central and North Asia, and northern North America, but with rounder and smaller leaves. In addition to its long-distance disjunction from the ranges of the above three species, phylogenetic analyses based on sequence variations of multiple chloroplast DNA markers and nuclear ITS suggested that E. tianshanense and these species represent two independently evolved lineages in Tian Shan Mountains and the Qinghai-Tibet Plateau. Their morphological similarities may have resulted from the same selection pressures in the alpine habitats where they grow.


Botany ◽  
2009 ◽  
Vol 87 (11) ◽  
pp. 1077-1088 ◽  
Author(s):  
Qingbo Gao ◽  
Dejun Zhang ◽  
Shengyun Chen ◽  
Yizhong Duan ◽  
Faqi Zhang ◽  
...  

We studied the phylogeography of Rhodiola alsia (Fröderström) S.H. Fu, which is a perennial herbaceous plant endemic to the Qinghai–Tibet (Q–T) Plateau, by sequencing one intergenic chloroplast spacer, rpl20–rps12 (844 bp). The sampling design included 18 populations and 315 individuals, and spanned the entire distribution range of the species. Thirty-one haplotypes were characterized, and polymorphism was observed both within and among populations. Most haplotypes were restricted to single sites or to neighbouring populations, suggesting an extremely low level of long distance gene flow via seeds. Only three haplotypes were common and widespread throughout the distributional range of R. alsia. The present geographical distribution of haplotypes probably reflects an ancient geographical pattern between the platform and southeastern margin of the Q–T Plateau identified as genetic hotspot areas. We suggest that populations of R. alsia survived in isolated refugia located in the platform and the southeastern margin of the Q–T Plateau during the Quaternary glaciation, at least during the last glaciation maximum (LGM, 32 000–16 000 years ago). The populations of R. alsia were geographically isolated by a subsequent local range expansion and independent evolution. The genetic structure of R. alsia is very different from previous phylogeographical studies of Q–T Plateau alpine plants and illustrates the importance of species-specific characteristics such as distribution areas and life-history traits which are mainly responsible for different patterns of genetic variation. Our investigation thus provides a new pattern of several refugia on the plateau platform.


2020 ◽  
Vol 12 (4) ◽  
pp. 1326 ◽  
Author(s):  
Weiguo Fan ◽  
Mengmeng Meng ◽  
Jianchang Lu ◽  
Xiaobin Dong ◽  
Hejie Wei ◽  
...  

Decoupling of energy consumption and economic development is a key factor in achieving sustainable regional development. The decoupling relationship between energy consumption and economic development in the Qinghai-Tibet Plateau region is still unclear. This paper uses the logarithmic mean Divisia index (LMDI) decomposition method and Tapio elastic index model to analyze the decoupling degree and driving factors of energy consumption and economic development, and evaluates the decoupling effort level in Qinghai-Tibet Plateau from 2006 to 2016. The results indicate that the Qinghai-Tibet Plateau region showed a weak decoupling as a whole, and that only Tibet experienced expanding negative decoupling in 2006–2007 and an expansion link in 2007–2008. Economic scale is a primary factor that hinders the decoupling of energy consumption, followed by investment intensity and industrial energy structure. The cumulative promotion effect of research and development (R&D) efficiency and intensity and the inhibition effect of investment intensity cancel each other out. With the exception of Tibet and Xinjiang, all provinces in the Qinghai-Tibet plateau have made decoupling efforts. Decoupling efforts made by R&D efficiency contributed the most, followed by energy intensity and R&D intensity. This paper provides policy recommendations for the decoupling of energy consumption experience for underdeveloped regions.


2020 ◽  
Vol 34 (22) ◽  
pp. 4280-4294
Author(s):  
Xiaofan Zhu ◽  
Tonghua Wu ◽  
Guojie Hu ◽  
Shengjie Wang ◽  
Xiaodong Wu ◽  
...  

2020 ◽  
Vol 12 (19) ◽  
pp. 3150
Author(s):  
Junhan Chen ◽  
Feng Yan ◽  
Qi Lu

Vegetation is the terrestrial ecosystem component most sensitive to climate change. The Qinghai–Tibet Plateau (QTP), characterized by a cold climate and vulnerable ecosystems, has experienced significant warming in previous decades. Identifying the variation in vegetation coverage and elucidating its main driving factors are critical for ecological protection on the QTP. In this study, MOD13A2 Normalized Difference Vegetation Index (NDVI) data in the growing season (May to September) was used to represent QTP vegetation coverage during 2000–2019. The univariate linear regression, partial correlation analysis, residual analysis, and the Hurst exponent were used to detect the vegetation spatiotemporal dynamic, analyze the relationship between the vegetation and main driving factors, and predict the future vegetation dynamic. The growing season NDVI (GNDVI) of the QTP showed an extremely significant rate of increase (0.0011/a) during the study period, and 79.29% of the vegetated areas showed a greening trend. Over the past 20 years, the northeast, mid-east, and western edges of the plateau have been cooling and wetting, while the southwest, mid-west, and southeast have been warming and drying. Different climatic conditions lead to spatial differences in the response of plateau vegetation to climatic factors with generally 1–4 months lag time. The vegetation in the north of the plateau was mainly positively correlated with moisture, and negatively correlated with temperature, while the southern part showed positive correlation with temperature and negative correlation with moisture. Due to the enhancement of cooling and wetting trend in the last decade (2010–2019), especially in the south of the plateau, the greening trend of the plateau vegetation slowed down appreciably and even degraded in some areas. Human activities were mainly concentrated in the eastern part of the plateau—and its positive effect on vegetation was gradually increasing in most areas during study period, especially in the northeastern part. However, vegetation degradation caused by human activities in the southeast of the plateau should not be ignored. The future vegetation dynamic based on the Hurst exponent showed that the plateau faces a higher risk of vegetation degradation, which deserves more attention. This study explored the effect of climatic factors and human activities on vegetation of the QTP, thereby providing some guidance for the study of vegetation dynamic in the alpine areas.


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