Climate Change Impacts on Invasive Plant Species

Climate change is reshaping the distribution, abundance and ecological impact of invasive plant species worldwide. Rising temperatures, altered precipitation regimes and elevated atmospheric carbon dioxide are expanding climatically suitable areas, enabling many invaders to colonise higher latitudes and elevations. Changes in seasonal patterns and the frequency of extreme events can disrupt native communities, reduce biotic resistance and accelerate phenological synchrony, favouring invaders with rapid growth and high reproductive rates. In addition, elevated CO₂ may enhance resource‐use efficiency in certain invaders, amplifying their competitive advantage. The combined influence of climate drivers and land‐use change not only modifies habitat corridors and dispersal pathways but also challenges existing management frameworks. To safeguard biodiversity and ecosystem services, adaptive surveillance, predictive modelling and targeted control strategies are essential components of a globally coordinated response.

Research from Nature Portfolio

Recent global modelling of one of the world’s most aggressive invaders has employed an ensemble of decision‐tree algorithms to map current and future distributions. Under moderate and high greenhouse-gas scenarios, projected suitable habitat for this species is predicted to expand by more than 40 % by mid-century, with new risk areas emerging in Africa, Oceania and Australia. The study highlights regions currently considered unsuitable that may become vulnerable, emphasising early detection efforts and pre-emptive management in those zones.

Climate Change Impacts on Invasive Plant Species publication trend

The graph below shows the total number of articles in climate change impacts on invasive plant species across all publications each year (not limited to Nature Index journals).

Technical terms

Habitat suitability: The likelihood that a given environment provides the conditions necessary for a species to survive and reproduce.

Species distribution model (SDM): A computational tool that relates species occurrence records to environmental variables to predict potential geographic ranges under different scenarios.

Representative Concentration Pathway (RCP): A greenhouse-gas concentration trajectory used by climate modellers to project future climate conditions based on radiative forcing values.

Shared Socio-economic Pathway (SSP): Scenarios describing plausible global developments in demographics, economics and technology, employed to assess climate impacts and mitigation strategies.

Random Forest: An ensemble machine-learning algorithm that builds multiple decision trees to improve predictive accuracy for classification or regression tasks.

Maximum entropy modelling: A presence-only species distribution technique that estimates the probability distribution of a species by maximising entropy subject to environmental constraints.

References

1. Which factors determine the invasion of plant species? Machine learning based habitat modelling integrating environmental factors and climate scenarios. International Journal of Applied Earth Observation and Geoinformation (2023).
2. Assessing the Potential Distribution of Oxalis latifolia, a Rapidly Spreading Weed, in East Asia under Global Climate Change. Plants (2023).
3. Global spatial distribution of Chromolaena odorata habitat under climate change: random forest modeling of one of the 100 worst invasive alien species. Scientific Reports (2023).