2026-11-11 中国科学院(CAS)
<関連情報>
- https://english.cas.cn/newsroom/research-news/202611/t20261111_1214953.shtml
- https://doi.org/10.1016/j.baae.2026.151872
栄養供給の時間的変動が2種の侵略的外来植物の優占化を促進する(Increased nutrient variability promotes dominance of two invasive plants in the field)
Zhiyong Liao, Oliver Bossdorf, Anna Bucharova, Christiane Karasch-Wittmann, Madalin Parepa
Basic and Applied Ecology, 2026, Article 151872 : 2026-11-12
DOI:10.1016/j.baae.2026.151872

Fig. 1. Photos of invaded populations, field sites of two invaders and the nutrient treatments in each site. License: CC BY 4.0
Fluctuations in environmental nutrient availability may facilitate the invasion and establishment of non-native plants, but previous evidence has largely come from greenhouse or simplified experimental settings. In this study, researchers investigated the effects of nutrient variability on two invasive plant species, Asian knotweed (Reynoutria bohemica) and Canadian goldenrod (Solidago canadensis), at eight field sites in southwestern Germany. The experiment compared three treatments: constant weekly nutrient supply, fluctuating nutrient supply in which twice the amount was applied every other week, and a water-only control. The total fertilizer input was kept equal between the two nutrient treatments. Plant aboveground biomass and the dominance of invasive species within the surrounding communities were subsequently assessed. Under high nutrient variability, the aboveground biomass of the two invasive species increased by 66.1% and 137.7%, respectively, accompanied by increased community dominance. In contrast, constant nutrient supply did not significantly alter their competitive dominance, and total native plant biomass was not significantly affected by fluctuating nutrient availability. These findings provide field evidence that temporal variability in resource supply, rather than simply the average amount of nutrients available, can enhance the competitive advantage of invasive plants. The study highlights the importance of considering nutrient fluctuation patterns when predicting biological invasions and managing ecosystems under increasing environmental variability caused by climate change and human activities.


