improving Alien species Distribution knowledge by Integrating Data Across Scales
Biological invasions have become a key driver of global environmental change, but research and management remain hampered by a lack of spatially detailed distribution information. Recent progress in mobilizing heterogeneous distribution data (e.g. point locations, regional checklists, etc.) and new statistical modeling approaches for their integration offer exciting opportunities. However, limitations in available data and the applicability of different modeling tools for alien species remain largely unknown. This project will integrate distribution data for various taxonomic groups to address three central challenges in invasion biology:
- to assess various data limitations in alien species occurrence records,
- to extend and test models for integrating disparate data types to improve fine-scale predictions of alien occurrences, and
- to analyze how integrating available data changes perceptions of alien species richness patterns and drivers.
Da Re, D., Tordoni, E., De Pascalis, F., Negrin-Perez, Z., Fernandez-Palacios, J. M., Arevalo, J. R., Rocchini, D., Medina, F. M., Otto, R., Arlé, E., Bacaro, G.(2020): Invasive fountain grass (Pennisetum setaceum(Forssk.) Chiov.) increases its potential area of distribution in Tenerife island under future climatic scenarios. Plant Ecology (in press) *
Maciel, E. A., Arle, E.(2020): Rare7: An R package to assess the forms of rarity in a community. Ecological Indicators 115 *