scholarly journals Examining Fractional Vegetation Cover Dynamics in Response to Climate from 1982 to 2015 in the Amur River Basin for SDG 13

2020 ◽  
Vol 12 (14) ◽  
pp. 5866
Author(s):  
Ran Yang ◽  
Xiaoyan Li ◽  
Dehua Mao ◽  
Zongming Wang ◽  
Yanlin Tian ◽  
...  
Keyword(s):  
Climate Change ◽  
Vegetation Cover ◽  
Growing Season ◽  
Amur River Basin ◽  
Mountainous Area ◽  
High Latitudes ◽  
Vegetation Types ◽  
Amur River ◽  
The Amur River ◽  
Increasing Trends

The impacts of climate and the need to improve resilience to current and possible future climate are highlighted in the UN’s Sustainable Development Goal (SDG) 13. Vegetation in the Amur River Basin (ARB), lying in the middle and high latitudes and being one of the 10 largest basins worldwide, plays an important role in the regional carbon cycle but is vulnerable to climate change. Based on GIMMS NDVI3g and CRU TS4.01 climate data, this study investigated the spatiotemporal patterns of fractional vegetation cover (FVC) in the ARB and their relationships with climatic changes from 1982 to 2015 varying over different seasons, vegetation types, geographical gradients, and countries. The results reveal that the FVC presented significant increasing trends (P < 0.05) in growing season (May to September) and autumn (September to October), but insignificant increasing trends in spring (April to May) and summer (June to August), with the largest annual FVC increase occurring in autumn. However, some areas showed significant decreases of FVC in growing season, mainly located on the China side of the ARB, such as the Changbai mountainous area, the Sanjiang plain, and the Lesser Khingan mountainous area. The FVC changes and their relationships varied among different vegetation types in various seasons. Specifically, grassland FVC experienced the largest increase in growing season, spring, and summer, while woodland FVC changed more dramatically in autumn. FVC correlated positively with air temperature in spring, especially for grassland, and correlated negatively with precipitation, especially for woodland. The correlations between FVC and climatic factors in growing season were zonal in latitude and longitude, while 120° E and 50° N were the approximate boundaries at which the values of mean correlation coefficients changed from positive to negative, respectively. These findings are beneficial to a better understanding the responses of vegetation in the middle and high latitudes to climate change and could provide fundamental information for sustainable ecosystem management in the ARB and the northern hemisphere.

scholarly journals Climate Change Detection and Annual Extreme Temperature Analysis of the Amur River Basin

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Bo Yan ◽  
Ziqiang Xia ◽  
Feng Huang ◽  
Lidan Guo ◽  
Xiao Zhang
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Extreme Temperature ◽  
Change Points ◽  
Likelihood Method ◽  
Maximum Temperature ◽  
Amur River Basin ◽  
Central Basin ◽  
Amur River ◽  
The Amur River

This paper aims to detect climate change points and compare the extreme temperature changes with the average-value changes in the Amur River basin. The daily air temperatures of 44 stations in the Amur River basin were collected from April 1, 1954, to March 31, 2013. The change points for annual mean and extreme temperature in 44 individual stations and their average were detected by the Mann-Kendall test, respectively. The annual mean temperature changed during 1980s in terms of increased mean value and relative stable standard deviation. The annual maximum temperature from 31 stations mostly located in the central and northwest basin changed significantly, and their change points occurred mainly in 1990s. For the annual minimum temperature, 32 stations mainly located in the central basin had significant changes. The generalized extreme value distribution was fitted to the postchange point subseries of annual extreme temperature and the parameters were estimated by the maximum likelihood method. The 10/50/100-year return levels were estimated by the method of profile likelihood. For the areas in the central and Northwestern basin, the probability of occurrence of hot extremes increased, while the occurrence probability of cold extremes was decreased in the central basin under climate change.

scholarly journals Vegetation dynamics and its response to climate change during the past 2000 years along the Amur River Basin, Northeast China

2020 ◽  
Vol 117 ◽  
pp. 106577
Author(s):  
Dongxue Han ◽  
Chuanyu Gao ◽  
Hanxiang Liu ◽  
Xiaofei Yu ◽  
Yunhui Li ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Vegetation Dynamics ◽  
Northeast China ◽  
Amur River Basin ◽  
Amur River ◽  
The Past ◽  
Past 2000 Years ◽  
The Amur River

scholarly journals Quantifying the Impact of Future Climate Change on Runoff in the Amur River Basin Using a Distributed Hydrological Model and CMIP6 GCM Projections

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1560
Author(s):  
Ke Wen ◽  
Bing Gao ◽  
Mingliang Li
Keyword(s):  
Climate Change ◽  
Climate Changes ◽  
Hydrological Model ◽  
Future Climate ◽  
Future Climate Change ◽  
Amur River Basin ◽  
Distributed Hydrological Model ◽  
Hydrological Response ◽  
Amur River ◽  
The Amur River

The Amur River is one of the top ten longest rivers in the world, and its hydrological response to future climate change has been rarely investigated. In this study, the outputs of four GCMs in the Coupled Model Intercomparison Project Phase 6 (CMIP6) were corrected and downscaled to drive a distributed hydrological model. Then, the spatial variations of runoff changes under the future climate conditions in the Amur River Basin were quantified. The results suggest that runoffs will tend to increase in the future period (2021–2070) compared with the baseline period (1961–2010), particularly in August and September. Differences were also found among different GCMs and scenarios. The ensemble mean of the GCMs suggests that the basin-averaged annual precipitation will increase by 14.6% and 15.2% under the SSP2-4.5 and SSP5-8.5 scenarios, respectively. The increase in the annual runoff under the SSP2-4.5 scenario (22.5%) is projected to be larger than that under the SSP5-8.5 scenario (19.2%) at the lower reach of the main channel. Future climate changes also tend to enhance the flood peak and flood volume. The findings of this study bring new understandings of the hydrological response to future climate changes and are helpful for water resource management in Eurasia.

scholarly journals Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change

2021 ◽  
Vol 13 (4) ◽  
pp. 669
Author(s):  
Hanchen Duan ◽  
Xian Xue ◽  
Tao Wang ◽  
Wenping Kang ◽  
Jie Liao ◽  
...  
Keyword(s):  
Climate Change ◽  
Alpine Meadow ◽  
Global Climate ◽  
Growing Season ◽  
Tibet Plateau ◽  
Vegetation Types ◽  
Analysis Method ◽  
Alpine Steppe ◽  
Qinghai Tibet Plateau ◽  
Variation Trends

Alpine meadow and alpine steppe are the two most widely distributed nonzonal vegetation types in the Qinghai-Tibet Plateau. In the context of global climate change, the differences in spatial-temporal variation trends and their responses to climate change are discussed. It is of great significance to reveal the response of the Qinghai-Tibet Plateau to global climate change and the construction of ecological security barriers. This study takes alpine meadow, alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau as the research objects. The normalized difference vegetation index (NDVI) data and meteorological data were used as the data sources between 2000 and 2018. By using the mean value method, threshold method, trend analysis method and correlation analysis method, the spatial and temporal variation trends in the alpine meadow, alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau were compared and analyzed, and their differences in the responses to climate change were discussed. The results showed the following: (1) The growing season length of alpine meadow was 145~289 d, while that of alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau was 161~273 d, and their growing season lengths were significantly shorter than that of alpine meadow. (2) The annual variation trends of the growing season NDVI for the alpine meadow, alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau increased obviously, but their fluctuation range and change rate were significantly different. (3) The overall vegetation improvement in the Qinghai-Tibet Plateau was primarily dominated by alpine steppe and alpine meadow, while the degradation was primarily dominated by alpine meadow. (4) The responses between the growing season NDVI and climatic factors in the alpine meadow, alpine steppe and the overall vegetation of the Qinghai-Tibet Plateau had great spatial heterogeneity in the Qinghai-Tibet Plateau. These findings provide evidence towards understanding the characteristics of the different vegetation types in the Qinghai-Tibet Plateau and their spatial differences in response to climate change.

The sympatric whitefishes Coregonus ussuriensis and C. chadary from the Amur River basin: Morphology, biology and genetic diversity

2017 ◽  
Vol 189 (3) ◽  
pp. 193-207 ◽  
Author(s):  
NickolaiA. Bochkarev ◽  
ElenaI. Zuykova ◽  
SergeyA. Abramov ◽  
ElenaV. Podorozhnyuk ◽  
DmitryV. Politov
Keyword(s):  
Genetic Diversity ◽  
River Basin ◽  
Amur River Basin ◽  
Amur River ◽  
The Amur River ◽  
Basin Morphology

New taxa in Arundinella and Calamagrostis (Poaceae) from the Russian Far East

2017 ◽  
Vol 48 ◽  
pp. 13-22
Author(s):  
N. S. Probatova
Keyword(s):  
River Basin ◽  
New Taxa ◽  
Chromosome Numbers ◽  
Russian Far East ◽  
Far East ◽  
Amur Region ◽  
Amur River Basin ◽  
Amur River ◽  
The Amur River ◽  
The Russian Far East

Calamagrostis are described from the Russian Far East. Chromosome numbers are reported for two new taxa. Calamagrostis burejensis Prob. et Barkalov, 2n = 28 (sect. Calamagrostis), C. zejensis Prob., 2n = 28 (sect. Deyeuxia), and C. × amgunensis Prob. (C. amurensis Prob. × C. neglecta (Ehrh.) G. Gaertn., B. Mey. et Scherb. s. l.) are described from the Amur River basin (Amur Region or Khabarovsk Territory); Arundinella rossica Prob. (sect. Hirtae) and Calamagrostis kozhevnikovii Prob. et Prokopenko (sect. Calamagrostis) from Primorye Territory.

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