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Recolonization of native and invasive plants after large-scale clearance of a temperate coastal dunefield

Cited 2 time in Web of Science Cited 3 time in Scopus
Authors

Kim, Daehyun; Lee, Jung-Yun; Seo, Jongcheol; Song, Insang

Issue Date
2019-08
Publisher
Elsevier BV
Citation
Applied Geography, Vol.109, p. 102030
Abstract
In the management of alien invasive plants in coastal dunes, plot-based approaches have generally been adopted: researchers establish a set of experimental (often topographically homogeneous) plots of a given size where the plants are removed, and recovery patterns are monitored for a period of time. Therefore, the literature still lacks a detailed understanding of where (i.e., under what topographic circumstances) native and invasive species are likely to recolonize after clearance of a large dunefield. In this study, we report on an unprecedented case from the Sindu dunefield in western Korea in which both native and invasive plants had been thoroughly removed to bare sand over a vast area (ca. 11.0 ha), followed by in situ exhaustive mapping of regeneration patterns throughout the entire cleared zone twelve times within four years. The results showed that, after removal, natives and invaders increased to occupy larger (> 50%) areas than those in the pre-removal state. Furthermore, Ecological-Niche Factor Analysis revealed that these two vegetation types exhibited markedly and significantly contrasting regeneration hotspots: invasive plants expanded primarily in low-lying sites that were close to trails. These findings indicate that the recolonization of invasive species was not a spatially random process but rather concentrated along the trails through which local employees transported removed plant material, inadvertently dropping invader propagules. We conclude that removal is often costly, and if executed without a careful plan for the movement of workers, equipment, and plant debris, these efforts may even increase the extent of invasions beyond the initial state.
ISSN
0143-6228
URI
https://hdl.handle.net/10371/190837
DOI
https://doi.org/10.1016/j.apgeog.2019.05.007
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