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[Spatial variation and driving factors of invasive plants in Fujian Province, China].
- Source :
-
Ying yong sheng tai xue bao = The journal of applied ecology [Ying Yong Sheng Tai Xue Bao] 2019 Aug; Vol. 30 (8), pp. 2682-2690. - Publication Year :
- 2019
-
Abstract
- Based on the field investigation data and the integration GIS spatial methods and geographical detector model, we analyzed the main and interactive effects of geographical and social environmental factors on the distribution of invasive plants in Fujian Province, China. The results showed that a total of 82 invasive plant species were recorded, with Compositae as the dominant family. Conyza canadensis, Ageratum conyzoides, and Alternanthera philoxeroides had the highest frequencies. There were more invasive species in coastal areas than in inland areas. Fuzhou and Xiamen were the hot areas for plant invaision. The invasive plants widely distributed at different altitudes, and the invasion reduced with the increasing altitude. The geographical detector analysis showed that rainfall as a natural environment factor and road density and people density as socio-economy factors were the major driving factors for the distribution of invasive plant species. The multi-factor interaction had a positive effect on the spatial distribution of invasive plants, implying the complexity of impact factors on the distribution of invasive plant species. In conclusion, the geographical detector could be used in the studies of invasive plants, and environmental factors could be also applied for monitoring the suitable establishment areas of invasive plants in Fujian Province. Our results provide a scientific basis for effective management of invasive plants.
- Subjects :
- Altitude
China
Geography
Introduced Species
Plants
Subjects
Details
- Language :
- Chinese
- ISSN :
- 1001-9332
- Volume :
- 30
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Ying yong sheng tai xue bao = The journal of applied ecology
- Publication Type :
- Academic Journal
- Accession number :
- 31418193
- Full Text :
- https://doi.org/10.13287/j.1001-9332.201908.010