Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region, China from 1982 to 2012

2016 ◽  
Vol 563-564 ◽  
pp. 210-220 ◽  
Author(s):  
Ying Zhang ◽  
Chaobin Zhang ◽  
Zhaoqi Wang ◽  
Yizhao Chen ◽  
Chengcheng Gang ◽  
...  
Keyword(s):  
Climate Change ◽  
Human Activities ◽  
Vegetation Dynamics ◽  
Driving Forces ◽  
Source Region

scholarly journals Greening Implication Inferred from Vegetation Dynamics Interacted with Climate Change and Human Activities over the Southeast Qinghai–Tibet Plateau

2019 ◽  
Vol 11 (20) ◽  
pp. 2421 ◽  
Author(s):  
Li ◽  
Liu ◽  
Liu ◽  
Li ◽  
Xu
Keyword(s):  
Climate Change ◽  
Human Activities ◽  
Vegetation Dynamics ◽  
Vegetation Index ◽  
Environmental Changes ◽  
Growing Season ◽  
Tibet Plateau ◽  
Ecological Environment ◽  
Upstream Region ◽  
High Mountain

Vegetation dynamics are sensitive to climate change and human activities, as vegetation interacts with the hydrosphere, atmosphere, and biosphere. The Yarlung Zangbo River (YZR) basin, with the vulnerable ecological environment, has experienced a series of natural disasters since the new millennium. Therefore, in this study, the vegetation dynamic variations and their associated responses to environmental changes in the YZR basin were investigated based on Normalized Difference Vegetation Index (NDVI) and Global Land Data Assimilation System (GLDAS) data from 2000 to 2016. Results showed that (1) the YZR basin showed an obvious vegetation greening process with a significant increase of the growing season NDVI (Zc = 2.31, p < 0.05), which was mainly attributed to the wide greening tendency of the downstream region that accounted for over 50% area of the YZR basin. (2) Regions with significant greening accounted for 25.4% of the basin and were mainly concentrated in the Nyang River and Parlung Tsangpo River sub-basins. On the contrary, the browning regions accounted for <25% of the basin and were mostly distributed in the urbanized cities of the midstream, implying a significant influence of human activities on vegetation greening. (3) The elevation dependency of the vegetation in the YZR basin was significant, showing that the vegetation of the low-altitude regions was better than that of the high-altitude regions. The greening rate exhibited a significantly more complicated relationship with the elevation, which increased with elevated altitude (above 3500 m) and decreased with elevated altitude (below 3500 m). (4) Significantly positive correlations between the growing season NDVI and surface air temperature were detected, which were mainly distributed in the snow-dominated sub-basins, indicating that glaciers and snow melting processes induced by global warming play an important role in vegetation growth. Although basin-wide non-significant negative correlations were found between precipitation and growing season NDVI, positive influences of precipitation on vegetation greening occurred in the arid and semi-arid upstream region. These findings could provide important information for ecological environment protection in the YZR basin and other high mountain regions.

Grassland dynamics in response to climate change and human activities in Inner Mongolia, China between 1985 and 2009

2013 ◽  
Vol 35 (3) ◽  
pp. 315 ◽  
Author(s):  
S. J. Mu ◽  
Y. Z. Chen ◽  
J. L. Li ◽  
W. M. Ju ◽  
I. O. A. Odeh ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Ecological Restoration ◽  
Human Activities ◽  
Inner Mongolia ◽  
Management Practices ◽  
Net Primary Productivity ◽  
Temporal Dynamics ◽  
Driving Forces ◽  
Landscape Patterns

China’s grassland has been undergoing rapid changes in the recent past owing to increased climate variability and a shift in grassland management strategy driven by a series of ecological restoration projects. This study investigated the spatio-temporal dynamics of Inner Mongolia grassland, the main grassland region in China and part of the Eurasia Steppe, to detect the interactive nature of climate, ecosystems and society. Land-use and landscape patterns for the period from 1985 to 2009 were analysed based on TM- and MODIS-derived land-use data. Net Primary Productivity (NPP) estimated by using the Carnegie-Ames-Stanford Approach model was used to assess the growth status of grassland. Furthermore, the factors related to the dynamics of grassland were analysed from the perspectives of two driving factors, climate change and human activities. The results indicated that higher temperatures and lower precipitation may generally have contributed to grassland desertification, particularly in arid regions. During the period from 1985 to 2000, a higher human population and an increase in livestock numbers were the major driving forces responsible for the consistent decrease in NPP and a relatively fragmented landscape. From 2000 to 2009, the implementation of effective ecological restoration projects has arrested the grassland deterioration in some ecologically fragile regions. However, a rapid growth of livestock numbers has sparked new degradation onnon-degraded or lightly degraded grassland, which was initially neglected by these projects. In spite of some achievement in grassland restoration, China should take further steps to develop sustainable management practices for climate adaptation and economic development to bring lasting benefits.

Vegetation dynamics and responses to climate change and human activities in Central Asia

2017 ◽  
Vol 599-600 ◽  
pp. 967-980 ◽  
Author(s):  
Liangliang Jiang ◽  
Guli·Jiapaer ◽  
Anming Bao ◽  
Hao Guo ◽  
Felix Ndayisaba
Keyword(s):  
Climate Change ◽  
Central Asia ◽  
Human Activities ◽  
Vegetation Dynamics

scholarly journals Comparative Assessment of Vegetation Dynamics under the Influence of Climate Change and Human Activities in Five Ecologically Vulnerable Regions of China from 2000 to 2015

Forests ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 317 ◽  
Author(s):  
Hao Wang ◽  
Guohua Liu ◽  
Zongshan Li ◽  
Pengtao Wang ◽  
Zhuangzhuang Wang
Keyword(s):  
Climate Change ◽  
Tibetan Plateau ◽  
Ecological Restoration ◽  
Loess Plateau ◽  
Human Activities ◽  
Vegetation Dynamics ◽  
Karst Region ◽  
The Tibetan Plateau ◽  
The Loess Plateau ◽  
Arid Desert

Ongoing climate change and human activities have a great effect on vegetation dynamics. Understanding the impact of climate change and human activities on vegetation dynamics in different ecologically vulnerable regions has great significance in ecosystem management. In this study, the predicted NPP (Net Primary Productivity) and the actual NPP based on different ecological process data and models were combined to estimate the vegetation dynamics and their driving forces in the Northern Wind-sand, Loess Plateau, Arid Desert, Tibetan Plateau, and Karst regions from 2000 to 2015. The results indicated that the NPP in all ecologically vulnerable regions showed a restoration trend, except for that in the Karst region, and the percentage of areas in which NPP increased were, in order, 78% for the Loess Plateau, 71% for the Northern Wind-sand, 69% for the Arid Desert, 54% for the Tibetan Plateau, and 31% for the Karst regions. Vegetation restorations in the Northern Wind-sand and Arid Desert regions were primarily attributable to human activities (86% and 61% of the restoration area, respectively), indicating the success of ecological restoration programs. The Loess Plateau had the largest proportion of vegetation restoration area (44%), which was driven by combined effects of climate and human factors. In the Tibetan Plateau, the vegetation changes due to climate factors were primarily distributed in the west, while those due to human factors were primarily distributed in the east. Human activities caused nearly 60% of the vegetation degradation in the Karst region. Based on these results, it is recognizable that regional climate conditions are the key factor that limits ecological restoration. Therefore, future policy-making should pay more attention to the local characteristics of different ecological vulnerable regions in regional ecosystem management to select reasonable restoration measures, improve restoration efficiency, and maximize the benefits of ecological restoration programs.

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