scholarly journals Spatial–Temporal Vegetation Dynamics and Their Relationships with Climatic, Anthropogenic, and Hydrological Factors in the Amur River Basin

2021 ◽  
Vol 13 (4) ◽  
pp. 684
Author(s):  
Shilun Zhou ◽  
Wanchang Zhang ◽  
Shuhang Wang ◽  
Bo Zhang ◽  
Qiang Xu
Keyword(s):  
Vegetation Dynamics ◽  
Sanjiang Plain ◽  
Anthropogenic Factors ◽  
Amur River Basin ◽  
Amur River ◽  
The Sanjiang Plain ◽  
Vegetation Indexes ◽  
The Amur River ◽  
Natural And Anthropogenic Factors ◽  
Hydrological Variables

Information about the growth, productivity, and distribution of vegetation, which are highly relied on and sensitive to natural and anthropogenic factors, is essential for agricultural production management and eco-environmental sustainability in the Amur River Basin (ARB). In this paper, the spatial–temporal trends of vegetation dynamics were analyzed at the pixel scale in the ARB for the period of 1982–2013 using remotely sensed data of long-term leaf area index (LAI), fractional vegetation cover (FVC), and terrestrial gross primary productivity (GPP). The spatial autocorrelation characteristics of the vegetation indexes were further explored with global and local Moran’s I techniques. The spatial–temporal relationships between vegetation and climatic factors, land use/cover types and hydrological variables in the ARB were determined using a geographical and temporal weighted regression (GTWR) model based on the observed meteorological data, remotely sensed vegetation information, while the simulated hydrological variables were determined with the soil and water assessment tool (SWAT) model. The results suggest that the variation in area-average annual FVC was significant with an increase rate of 0.0004/year, and LAI, FVC, and GPP all exhibited strong spatial heterogeneity trends in the ARB. For LAI and FVC, the most significant changes in local spatial autocorrelation were recognized over the Sanjiang Plain, and the low–low agglomeration in the Sanjiang Plain decreased continuously. The GTWR model results indicate that natural and anthropogenic factors jointly took effect and interacted with each other to affect the vegetated regime of the region. The decrease in the impact of precipitation to vegetation growth over the Songnen Plain was determined as having started around 1991, which was most likely attributed to dramatic changes in water use styles induced by local land use changes, and corresponded to the negative correlation between pasture areas and vegetation indexes during the same period. The analysis results presented in this paper can provide vital information to decision-makers for use in managing vegetation resources.

scholarly journals The increasing snow cover in the Amur River Basin from MODIS observations during 2000–2014

2016 ◽  
Author(s):  
Xianwei Wang ◽  
Yuan Zhu ◽  
Yaning Chen ◽  
Hailing Zheng ◽  
Henan Liu ◽  
...  
Keyword(s):  
Snow Cover ◽  
River Basin ◽  
Air Temperature ◽  
Sanjiang Plain ◽  
Amur River Basin ◽  
Amur River ◽  
The Sanjiang Plain ◽  
Snow Cover Extent ◽  
The Amur River ◽  
The Mean

Abstract. The study applies the improved cloud-free Moderate Resolution Imaging Spectral radiometer (MODIS) daily snow cover product (MODMYD_MC) to analyze the snow cover variations from snow Hydrologic Year (HY) HY2000 to HY2013 in the Amur River Basin (ARB), northeast Asia. The fractions of forest cover were 38 %, 63 % and 47 % in 2009 in China (the southern ARB), Russia (the northern ARB) and ARB, respectively. Forest demonstrates complex influences on the snow accumulation and melting processes and on optical satellite snow cover mapping. Validation results show that MODMYD_MC has a snow agreement of 88 % against in situ snow depth (SD) observations (SD≥4cm). The agreement is about 10 % lower at the forested stations than at the non-forested stations. Snow Cover Durations (SCD) from MODMYD_MC are 20 days shorter than ground observations (SD ≥ 1 cm) at the forested stations, while they are just 8 days shorter than ground observations (SD ≥ 1 cm) at the non-forested stations. Annual mean SCDs in the forested areas are 21 days shorter than those in the nearby farmland in the SanJiang Plain. SCD and Snow Cover Fraction (SCF) are negatively correlated with air temperature in ARB, especially in the snow melting season, when the mean air temperature in March and April can explain 86 % and 74 % of the mean SCF variations in China and Russia, respectively. From 1961 to 2015, the annual mean air temperature presented an increase trend by 0.33 ℃/decade in both China and Russia, while it had a decrease trend during the study period from HY2000 to HY2013. The decrease of air temperature resulted in an increase of snow cover although the increase of snow cover was not significant above the 90 % confidence level. SCD and SCF had larger increase rates in China than in Russia, and they were larger in the forested area than in the nearby farmland in similarly climatic settings in the SanJiang Plain. Air temperature began to increase again in 2014 and 2015, and the increasing air temperature in ARB projects a decrease of snow cover extent and periods in the coming years.

scholarly journals Natural and Anthropogenic Factors Impact on the Amur River Bed Passage Ability near Khabarovsk during floods passing

2020 ◽  
pp. 66-82
Author(s):  
Keyword(s):  
Water Level ◽  
Construction Cost ◽  
Anthropogenic Factors ◽  
Channel Processes ◽  
Amur River ◽  
Water Flows ◽  
River Bed ◽  
The Amur River ◽  
The Given ◽  
Natural And Anthropogenic Factors

The article discusses the range of the Amur River maximal annual levels and water flows near Khabarovsk over the whole period of observations (1896–2019), quantity of outstanding and catastrophic floods. In compliance with references, the articles considered the main characteristics forming the channel processes at the given reach of the river. We have estimated the natural and anthropogenic factors impact on the water flows and levels passage ability in case of catastrophic floods and increasing of the protective facilities’ construction cost due to the water level extreme increase caused by anthropogenic factors. We have proposed a method of the maximal water level forecasting near the Khabarovsk water hub.

scholarly journals Problems of Water Resources Integrated Use and Management of the Territory of the Amur River Basin

2017 ◽  
Author(s):  
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Negative Impact ◽  
Water Bodies ◽  
Anthropogenic Factors ◽  
Amur River Basin ◽  
Amur River ◽  
Quality Of Water ◽  
Water Factor ◽  
The Amur River

The current state of the Amur River water resources and available water quantity for the local economic entities with taking into account future prospects of the region social/economic development up to 2025 has been discussed. Dependence of the planned program measures implementation on the water factor (availability and quality of water resources), as well as on solution of the inter-state issues of the transboundary water bodies protection and use has been demonstrated. Proposals for optimization of the water bodies monitoring system for the purposes of the Amur river basin (the Russian part) water/economic complex management in order to fulfill the SWRIUP provisions have been made. Natural risks associated with floods and anthropogenic factors in the Amur basin are considered. Proposals on minimization of their negative impact have been formulated. The structure of water/economic complex has been considered and the analysis of regulatory/legislative basis concerning designing of flood-protective facilities and water/economic complex management including issues of transboundary interaction.

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 Tracking Historical Wetland Changes in the China Side of the Amur River Basin Based on Landsat Imagery and Training Samples Migration

2021 ◽  
Vol 13 (11) ◽  
pp. 2161
Author(s):  
Qiande Zhu ◽  
Yining Wang ◽  
Jinxia Liu ◽  
Xuechun Li ◽  
Hairong Pan ◽  
...  
Keyword(s):  
River Basin ◽  
Wetland Management ◽  
Landsat Imagery ◽  
Temporal Variations ◽  
Sanjiang Plain ◽  
Amur River Basin ◽  
Landsat Images ◽  
Amur River ◽  
Holistic View ◽  
The Amur River

In the recent decades, development of agricultural and human settlements have severely affected wetlands on the China-side of the Amur River Basin (CARB). A long-term holistic view of spatio-temporal variations of the wetlands on the CARB is essential for supporting sustainable conservation of wetlands in this region. In this study, a training sample migration method along with Random Forest classifier were adopted to map wetland and other land covers from two key seasons image collections. The proposed classification method was applied to Landsat images, and a 30-m resolution dataset was obtained, which reflected the dynamic changes of historical wetland distribution on the CARB region from 1990 to 2010. As the accuracy assessments showed, land cover maps of the CARB had high accuracies. The classification results indicated that the wetland area decreased from 89,432 km2 to 75,061 km2 between 1990 and 2010, with a net loss of 16%, which was mainly converted to paddy field and dry farmland, and the changes were most obvious in Sanjiang Plain and Songnen Plain. This suggests that agricultural activities are the main cause of wetland loss. The results can provide reliable information for the research on wetland management and sustainable development of the society and economy in the CARB.

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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