Spatial distribution patterns of wetland plants in relation to environmental gradient in the Honghe National Nature Reserve, Northeast China

2012 ◽  
Vol 22 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Demin Zhou ◽  
Zhaoqing Luan ◽  
Xiaoyu Guo ◽  
Yanjing Lou
Keyword(s):  
Spatial Distribution ◽  
Northeast China ◽  
Environmental Gradient ◽  
Nature Reserve ◽  
Distribution Patterns ◽  
Wetland Plants ◽  
Spatial Distribution Patterns ◽  
National Nature Reserve

scholarly journals Modeling the Spatial Distribution of Three Typical Dominant Wetland Vegetation Species’ Response to the Hydrological Gradient in a Ramsar Wetland, Honghe National Nature Reserve, Northeast China

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2041
Author(s):  
Dandan Yan ◽  
Zhaoqing Luan ◽  
Dandan Xu ◽  
Yuanyuan Xue ◽  
Dan Shi
Keyword(s):  
Spatial Distribution ◽  
Water Level ◽  
Northeast China ◽  
Nature Reserve ◽  
Wetland Vegetation ◽  
Vegetation Communities ◽  
National Nature Reserve ◽  
Carex Lasiocarpa ◽  
Vegetation Species ◽  
Calamagrostis Angustifolia

Water level fluctuations resulting from natural and anthropogenic factors have been projected to affect the functions and structures of wetland vegetation communities. Therefore, it is important to assess the impact of the hydrological gradient on wetland vegetation. This paper presents a case study on the Honghe National Nature Reserve (HNNR) in the Sanjiang Plain, located in Northeast China. In this study, 210 plots from 18 sampling line transects were sampled in 2011, 2012, and 2014 along the hydrological gradient. Using a Gaussian logistic regression model, we determined a relationship between three wetland plant species and a hydrologic indicator—a combination of the water level and soil moisture—and then applied that relationship to simulate the distribution of plants across a larger landscape by the geographic information system (GIS). The results show that the optimum ecological amplitude of Calamagrostis angustifolia to the hydrological gradient based on the probability of occurrence model was [0.09, 0.41], that of Carex lasiocarpa was [0.35, 0.57], and that of Carex pseudocuraica was [0.49, 0.77]. The optimum of Calamagrostis angustifolia was 0.25, Carex lasiocarpa was 0.46, and Carex pseudocuraica was 0.63. Spatial distribution probability maps were generated, as were maps detailing the distribution of the most suitable habitats for wetland vegetation species. Finally, the model simulation results were verified, showing that this approach can be employed to provide an accurate simulation of the spatial distribution pattern of wetland vegetation communities. Importantly, this study suggests that it may be possible to predict the spatial distribution of different species from the hydrological gradient.

scholarly journals Comparison of Spatial Distribution Patterns of Seed Rain between Larch Plantations and Adjacent Secondary Forests in Northeast China

2016 ◽  
Vol 62 (6) ◽  
pp. 652-662 ◽  
Author(s):  
Qiaoling Yan ◽  
Jiaojun Zhu ◽  
Qun Gang ◽  
Liyan Huang ◽  
G. Geoff Wang
Keyword(s):  
Spatial Distribution ◽  
Northeast China ◽  
Distribution Patterns ◽  
Seed Rain ◽  
Secondary Forests ◽  
Spatial Distribution Patterns

Evolution of Potential Spatial Distribution Patterns of Carex Tussock Wetlands Under Climate Change Scenarios, Northeast China

2022 ◽  
Vol 32 (1) ◽  
pp. 142-154
Author(s):  
Qing Qi ◽  
Mingye Zhang ◽  
Shouzheng Tong ◽  
Yan Liu ◽  
Dongjie Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Spatial Distribution ◽  
Northeast China ◽  
Distribution Patterns ◽  
Climate Change Scenarios ◽  
Spatial Distribution Patterns

Effects of different disturbance measures on spatial distribution patterns of understory plants in Phyllostachys edulis forests

2014 ◽  
Vol 21 (6) ◽  
pp. 709-714
Author(s):  
Fan Yanrong ◽  
Chen Shuanglin ◽  
Lin Hua ◽  
Yang Qingping ◽  
Hong Yicong ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Distribution Patterns ◽  
Phyllostachys Edulis ◽  
Spatial Distribution Patterns ◽  
Understory Plants
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