Predicting current and future distribution of the common waxbill using a mechanistic modelling approach
Vila, M. S.; Pacioni, C.; Reino, L.; Lens, L.; Strubbe, D.
Show abstract
Biological invasions and climate change are two of the most pressing drivers of biodiversity loss worldwide. Anticipating where invasive species are likely to establish, as well as the potential impact of climate change on their range expansion, is essential for early detection and targeted management. In this study, we use a mechanistic species distribution model (SDM) to evaluate the current and future areas at risk of invasion by the common waxbill (Estrilda astrild), a widespread avian invader. Our model accurately predicts the species current range in Iberia and identifies additional climatically suitable areas, particularly in southern and western Europe. Under warming scenarios of +2 {degrees}C and +4 {degrees}C, suitable areas expand northwards, with over two-thirds of Europe classified as suitable under the most extreme scenario. These results suggest that the species is already operating near the cold limits of its thermal niche in parts of its invasive range, and that rising temperatures may remove these constraints, allowing expansion into previously unsuitable areas. Our findings demonstrate the power of mechanistic models in identifying regions at risk of colonisation and underscore the importance of early intervention and targeted monitoring in areas projected to become suitable.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Projecting spatiotemporal bioclimatic niche dynamics of endemic Pyrenean plant species under climate change: how much will we lose? 95%
- A quantitative review of abundance-based species distribution models 94%
- Fauxcurrence: simulating multi-species occurrences for null models in species distribution modelling and biogeography 94%
Similar papers in this journal
Similar papers in this journal
- Beyond tracking climate: niche shifts during native range expansion and their implications for novel invasions 96%
- Incorporating climatic extremes using the GEV distribution improves SDM range edge performance 94%
- Do aposematic species have larger range sizes? A case study with Neotropical poison frogs 94%
Similar papers in this journal
- A data-driven geospatial workflow to improve mapping species distributions and assessing extinction risk under the IUCN Red List. 94%
- Modelling the distribution of rare invertebrates by correcting class imbalance and spatial bias 94%
- Identifying the environmental drivers of corridors and predicting connectivity between seasonal ranges in multiple populations of Alpine ibex (Capra ibex) as tools for conserving migration 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.