
Invasive alien species (IAS) threaten biodiversity and human well-being. These threats may increase in the future, necessitating accurate projections of potential locations and the extent of invasions. The main aim of the IAS prototype Digital Twin (IAS pDT) is to dynamically project the level of plant invasion at habitat level across Europe under current and future climates using joint species distribution models. The pDT detects updates in data sources and versions of the datasets and model outputs, implementing the FAIR principles. The pDT’s outputs will be available via an interactive dashboard. All input and output data will be freely accessible.
info:eu-repo/classification/ddc/570, 570, climate chan, Science, Q, Invasive alien species, Digital Twin, climate change, joint species distribution models, workflows, ddc:570, Dynamic Data-Driven Application Systems
info:eu-repo/classification/ddc/570, 570, climate chan, Science, Q, Invasive alien species, Digital Twin, climate change, joint species distribution models, workflows, ddc:570, Dynamic Data-Driven Application Systems
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
