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Recently, a team led by Dr. Xiaoqiong Li, Associate Professor at GXU's School of Forestry, published an opinionated review paper online in the international journal“Trends in Ecology & Evolution”(a Cell Press journal), titled "Nonnative forestry plantations: invasion epicenters?". Dr. Xiaoqiong Li is the first author, and the corresponding author is Professor Wei Huang from the Wuhan Botanical Garden, Chinese Academy of Sciences. Guangxi University is the primary institution responsible for this work.

This study systematically reveals how nonnative tree plantations, through anthropogenic disturbances and interspecific amplification effects, can become "hotspots" that facilitate the invasion of other alien plants. It provides an important theoretical reference for balancing the economic benefits of plantations with their ecological sustainability.

Driven by global demand for timber and policies promoting carbon sink forestry, the area of planted forests has reached 293 million hectares, with 44% composed of nonnative genera such as “Eucalyptus” “Pinus”, and “Acacia”. Plantations dominated by nonnative trees not only risk becoming invasive species themselves, but their understory habitats are also more prone to becoming "hotbeds" for the invasion of other alien plants, posing a dual threat to biodiversity and ecosystem functions. On one hand, high-intensity anthropogenic disturbance makes nonnative plantations "hard-hit areas" for biological invasions. On the other hand, by altering understory light conditions, soil nutrients, and microbial communities, they directly or indirectly create colonization opportunities for subsequent invasive plants, thereby triggering an "invasion meltdown" effect—a vicious cycle of escalating invasion risks. This paper proposes the future development of an integrated invasion risk assessment framework that incorporates management intensity and landscape patterns. It also advocates for the promotion of "preventive silviculture" models characterized by low disturbance and long rotation periods to reduce ecological risks while ensuring economic benefits.

This research was supported by grants from the National Key Research and Development Program of China, the Guangxi Science and Technology Base and Talent Program, the National Natural Science Foundation of China, and the Guangxi Natural Science Foundation.