Ecological landscape classification and dynamic change mapping in the Taoer River basin, Northeast China

2009 ◽  
Author(s):  
Jiuchun Yang ◽  
Shuwen Zhang
Keyword(s):  
River Basin ◽  
Northeast China ◽  
Dynamic Change ◽  
Landscape Classification ◽  
Ecological Landscape

Multi-index drought characteristics in Songhua River basin, Northeast China

2019 ◽  
Vol 78 (1) ◽  
pp. 1-19 ◽  
Author(s):  
MA Faiz ◽  
D Liu ◽  
Q Fu ◽  
F Baig ◽  
AA Tahir ◽  
...  
Keyword(s):  
River Basin ◽  
Northeast China ◽  
Songhua River ◽  
Multi Index ◽  
Songhua River Basin ◽  
Drought Characteristics

Using MaxEnt Model to Guide Marsh Conservation in the Nenjiang River Basin, Northeast China

2019 ◽  
Vol 29 (6) ◽  
pp. 962-973 ◽  
Author(s):  
Zhiliang Wang ◽  
Bai Zhang ◽  
Xuezhen Zhang ◽  
Hongxu Tian
Keyword(s):  
River Basin ◽  
Northeast China ◽  
Maxent Model ◽  
Nenjiang River Basin

scholarly journals Analysis and prediction of LUCC change in Huang-Huai-Hai river basin

2020 ◽  
Vol 12 (1) ◽  
pp. 1406-1420
Author(s):  
Jianwei Wang ◽  
Kun Wang ◽  
Tianling Qin ◽  
Hanjiang Nie ◽  
Zhenyu Lv ◽  
...  
Keyword(s):  
Land Use ◽  
River Basin ◽  
Land Use Planning ◽  
Climate Model ◽  
Dynamic Change ◽  
Cultivated Land ◽  
Emission Scenarios ◽  
Future Change ◽  
Land Use Types ◽  
Downstream Area

AbstractLand use/cover change plays an important role in human development and environmental health and stability. Markov chain and a future land use simulation model were used to predict future change and simulate the spatial distribution of land use in the Huang-Huai-Hai river basin. The results show that cultivated land and grassland are the main land-use types in the basin, accounting for about 40% and 30%, respectively. The area of cultivated land decreased and artificial surfaces increased from 1980 to 2010. The degree of dynamic change of land use after the 1990s was greater than that before the 1990s. There is a high probability of exchange among cultivate land, forest and grassland. The area of forest decreased before 2000 and increased after 2000. Under the three emission scenarios (RCP2.6, RCP4.5, and RCP8.5) of IPSL-CM5A-LR climate model, the area of cultivated land will decrease and that of grassland will increase in the upstream area while it will decrease in the downstream area. The above methods and rules will be of great help to future land use planning.

scholarly journals Ecological Land Fragmentation Evaluation and Dynamic Change of a Typical Black Soil Farming Area in Northeast China

2017 ◽  
Vol 9 (2) ◽  
pp. 300 ◽  
Author(s):  
Shuhan Liu ◽  
Dongyan Wang ◽  
Hong Li ◽  
Wenbo Li ◽  
Qing Wang
Keyword(s):  
Northeast China ◽  
Dynamic Change ◽  
Black Soil ◽  
Land Fragmentation ◽  
Farming Area

scholarly journals Relationship between Wetland Plant Communities and Environmental Factors in the Tumen River Basin in Northeast China

2019 ◽  
Vol 11 (6) ◽  
pp. 1559 ◽  
Author(s):  
Xiaojun Zheng ◽  
Jing Fu ◽  
Noelikanto Ramamonjisoa ◽  
Weihong Zhu ◽  
Chunguang He ◽  
...  
Keyword(s):  
Soil Properties ◽  
River Basin ◽  
Plant Species ◽  
Plant Communities ◽  
Northeast China ◽  
Floristic Composition ◽  
Available Phosphorus ◽  
Wetland Plant ◽  
Tumen River ◽  
Wetland Plant Communities

Understanding what controls wetland vegetation community composition is vital to conservation and biodiversity management. This study investigates the factors that affect wetland plant communities and distribution in the Tumen River Basin, Northeast China, an internationally important wetland for biodiversity conservation. We recorded floristic composition of herbaceous plants, soil properties, and microclimatic variables in 177, 1 × 1 m2 quadrats at 45 sites, located upstream (26), midstream (12), and downstream (7) of the Basin. We used TWINSPAN to define vegetation communities and canonical correspondence analysis (CCA) to examine the relationships between environmental and biological factors within the wetland plant communities. We recorded 100 plant species from 93 genera and 40 families in the upstream, 100 plant species from 57 genera and 31 families in the midstream, and 85 plant species from 76 genera and 38 families in the downstream. Higher species richness was recorded upstream of the River Basin. The plant communities and distribution were influenced by elevation, soil properties (total potassium, pH, and available phosphorus), and microclimate variables (surface temperature, precipitation, average temperature, sunshine hours, and relative humidity). More than any other factor, according to our results, elevation strongly influenced the structure of wetland plant communities. These findings support prevailing models describing the distribution of wetland plants along environmental gradients. The determination of the relationship between soil and plants is a useful way to better understand the ecosystem condition and can help manage the wetland ecosystem.

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