Biological and climate factors co-regulated spatial-temporal dynamics of vegetation autumn phenology on the Tibetan Plateau

Author(s):  
Jiaxing Zu ◽  
Yangjian Zhang ◽  
Ke Huang ◽  
Yaojie Liu ◽  
Ning Chen ◽  
...  
2013 ◽  
Vol 23 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Shaojie Mu ◽  
Hongfei Yang ◽  
Jianlong Li ◽  
Yizhao Chen ◽  
Chengcheng Gang ◽  
...  

2014 ◽  
Vol 8 (1) ◽  
pp. 084694 ◽  
Author(s):  
Siyu Chen ◽  
Tiangang Liang ◽  
Hongjie Xie ◽  
Qisheng Feng ◽  
Xiaodong Huang ◽  
...  

2017 ◽  
Vol 12 (1) ◽  
pp. 014011 ◽  
Author(s):  
Lulu Song ◽  
Qianlai Zhuang ◽  
Yunhe Yin ◽  
Xudong Zhu ◽  
Shaohong Wu

2020 ◽  
Vol 12 (16) ◽  
pp. 2651
Author(s):  
Wen He ◽  
Chongchong Ye ◽  
Jian Sun ◽  
Junnan Xiong ◽  
Jinniu Wang ◽  
...  

The alpine timberline, an ecosystem ecotone, indicates climatic change and is tending to shift toward higher altitudes because of an increase in global warming. However, spatiotemporal variations of the alpine timberline are not consistent on a global scale. The abundant and highest alpine timberline, located on the Tibetan Plateau, is less subject to human activity and disturbance. Although many studies have investigated the alpine timberline on the Tibetan Plateau, large-scale monitoring of spatial-temporal dynamics and driving mechanisms of the alpine timberline remain uncertain and inaccurate. Hence, the Gongga Mountain on the southeastern Tibetan Plateau was chosen as the study area because of the most complete natural altitudinal zonation. We used the Otsu method on Google Earth Engine to extract the alpine timberline from 1987–2019 based on the normalized difference vegetation index (NDVI). Then, the alpine timberline spatiotemporal patterns and the effect of topography on alpine timberline distribution were explored. Four hillsides on the western Gongga Mountain were selected to examine the hillside differences and drivers of the alpine timberline based on principal component analysis (PCA) and multiple linear regression (MLR). The results indicated that the elevation range of alpine timberline was 3203–4889 m, and the vegetation coverage increased significantly (p < 0.01) near the alpine timberline ecotone on Gongga Mountain. Moreover, there was spatial heterogeneity in dynamics of alpine timberline, and some regions showed no regular trend in variations. The spatial pattern of the alpine timberline was generally high in the west, low in the east, and primarily distributed on 15–55° slopes. Besides, the drivers of the alpine timberline have the hillside differences, and the sunny and shady slopes possessed different driving factors. Thus, our results highlight the effects of topography and climate on the alpine timberline on different hillsides. These findings could provide a better approach to study the dynamics and formation of alpine timberlines.


2021 ◽  
Vol 10 (6) ◽  
pp. 394
Author(s):  
Shuohao Cai ◽  
Xiaoning Song ◽  
Ronghai Hu ◽  
Da Guo

The spatiotemporal variation characteristics of the Normalized Difference Vegetation Index (NDVI) and its climate response patterns are of significance in deepening our understanding of regional vegetation and climate change. The response of vegetation to climate factors varies spatially and may have lag periods. In this paper, we studied the spatiotemporal responses of vegetation to climatic factors on an ecosystem-dependent scale using GIMMS NDVI3g data and climatic parameters. Pure pixels with a single vegetation type were firstly extracted to reduce the influence of mixed vegetation types. Then, a lag correlation analysis was used to explore the lag effects of climatic parameters affecting NDVI. Finally, the stepwise regression method was adopted to calculate the regression equation for NDVI and meteorological data with the consideration of effect lag times. The results show that precipitation has significant lag effects on vegetation. Temperature is the main climatic factor that affects most vegetation types at the start of growing season. At the end of growing season, the temperate desert, temperate steppe, and temperate desert steppe are greatly affected by precipitation. Moreover, the alpine steppe, alpine desert, alpine meadow, and alpine sparse vegetation are greatly affected by temperature. The needleleaf forest, subalpine scrub, and broadleaf evergreen forest are sensitive to sunshine percentage during almost the whole growing season. These findings could contribute to a better understanding of the drivers and mechanisms of vegetation degradation on the Tibetan Plateau.


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