Effects of planting Tamarix chinensis on shallow soil water and salt content under different groundwater depths in the Yellow River Delta

Geoderma ◽  
2019 ◽  
Vol 335 ◽  
pp. 104-111 ◽  
Author(s):  
Xiaoqian Li ◽  
Jiangbao Xia ◽  
Ximei Zhao ◽  
Yinping Chen
Keyword(s):  
Soil Water ◽  
Yellow River ◽  
Salt Content ◽  
Yellow River Delta ◽  
River Delta ◽  
The Yellow River ◽  
Tamarix Chinensis ◽  
The Yellow River Delta ◽  
Shallow Soil ◽  
Soil Water And Salt

Threshold effect of the groundwater depth on the photosynthetic efficiency of Tamarix chinensis in the Yellow River Delta

2018 ◽  
Vol 433 (1-2) ◽  
pp. 157-171 ◽  
Author(s):  
Jiangbao Xia ◽  
Jiayun Ren ◽  
Ximei Zhao ◽  
Fengjuan Zhao ◽  
Hongjun Yang ◽  
...  
Keyword(s):  
Photosynthetic Efficiency ◽  
Yellow River ◽  
Yellow River Delta ◽  
Threshold Effect ◽  
River Delta ◽  
Groundwater Depth ◽  
The Yellow River ◽  
Tamarix Chinensis ◽  
The Yellow River Delta

scholarly journals Spatial Analysis as a Tool for Plant Population Conservation: A Case Study of Tamarix chinensis in the Yellow River Delta, China

2021 ◽  
Vol 13 (15) ◽  
pp. 8291
Author(s):  
Le Jiao ◽  
Yue Zhang ◽  
Tao Sun ◽  
Wei Yang ◽  
Dongdong Shao ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Spatial Autocorrelation ◽  
Yellow River ◽  
Yellow River Delta ◽  
River Delta ◽  
Airborne Lidar ◽  
The Yellow River ◽  
Tamarix Chinensis ◽  
The Yellow River Delta ◽  
Intraspecific Facilitation

Saltcedar (Tamarix chinensis) is undergoing population declination and fragmentation due to climate change and human disturbance. The existing restoration strategies usually focus on improving the environmental conditions based on the environment–saltcedar relationship, while they ignore the role of spatial autocorrelation resulting from biological interaction and ecological processes. This oversight limits the efficiency and sustainability of the restoration. Here, we explored the spatial pattern of the saltcedar population in the Yellow River Delta, China, and its relationship with environmental factors, incorporating spatial autocorrelation. The plant and soil parameters were extracted by an airborne LiDAR system integrated with fixed soil environment measurements. The environment–saltcedar relationship incorporating spatial autocorrelation was evaluated with different regression models. Results showed that saltcedars aggregated at small scales (2–6 m), resulting from intraspecific facilitation and wind dispersal of seeds, while intraspecific competition was responsible for the random distribution at large scales (>10 m). The long-distance dispersal of seeds through water explained the significant positive spatial autocorrelation of saltcedars at distances up to 125 m. Consequently, resulting from intraspecific facilitation and seed dispersal, aggregation distribution and positive spatial autocorrelation within the saltcedar population improved the adaptability of saltcedar to environmental stress and thereby reduced the impact of environmental factors on the abundance of saltcedar.

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