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Distribution pattern simulation of multiple emergent plants in river riparian zones
Emergent plants in river riparian zones (RRZs) are an important part of the river ecosystem, and the evolution of their spatial distribution patterns is a direct indicator of the health of river ecosystems. In previous studies, the simulation of the spatiotemporal pattern evolution process for emergent plants mainly focused on the overall pattern change of emergent plant communities. However, they did not distinguish the types of emergent plants and ignored the differences in response of different emergent plants to environmental changes. The difference in the competitiveness of different emergent plants will affect the distribution of emergent plants. In this research, the transformation rules of five emergent plants under different water levels were determined, and the Cellular Automata model was constructed to dynamically simulate the proliferation of emergent plants in RRZs. The results showed that when the water level was 11.5 m, the total area of emergent plants reached the maximum, and among the five emergent plants, Phragmites australis was the dominant species. When the water level dropped to 12.5 m, the shallow water area in the east of the riverside zone increased, and P. australis expanded rapidly in the east. By dynamically simulating the distribution of emergent plants in RRZs, the distribution status of the emergent plants in RRZs in the future can be obtained. It is of great significance for biodiversity conservation and resource management in riparian zones.
Distribution pattern simulation of multiple emergent plants in river riparian zones
Emergent plants in river riparian zones (RRZs) are an important part of the river ecosystem, and the evolution of their spatial distribution patterns is a direct indicator of the health of river ecosystems. In previous studies, the simulation of the spatiotemporal pattern evolution process for emergent plants mainly focused on the overall pattern change of emergent plant communities. However, they did not distinguish the types of emergent plants and ignored the differences in response of different emergent plants to environmental changes. The difference in the competitiveness of different emergent plants will affect the distribution of emergent plants. In this research, the transformation rules of five emergent plants under different water levels were determined, and the Cellular Automata model was constructed to dynamically simulate the proliferation of emergent plants in RRZs. The results showed that when the water level was 11.5 m, the total area of emergent plants reached the maximum, and among the five emergent plants, Phragmites australis was the dominant species. When the water level dropped to 12.5 m, the shallow water area in the east of the riverside zone increased, and P. australis expanded rapidly in the east. By dynamically simulating the distribution of emergent plants in RRZs, the distribution status of the emergent plants in RRZs in the future can be obtained. It is of great significance for biodiversity conservation and resource management in riparian zones.
Distribution pattern simulation of multiple emergent plants in river riparian zones
Qin, Jinglan (author) / Sun, Yuanyuan (author) / Qiu, Xintian (author) / Liu, Hongrui (author) / Zhang, Enze (author) / Mao, Xianqiang (author)
River Research and Applications ; 37 ; 1180-1190
2021-10-01
11 pages
Article (Journal)
Electronic Resource
English
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