Temporal changes in taxon abundances are positively correlated but poorly predicted at the global scale
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08.05.2025
In this article in Ecography the organizers and graduate students from a CIEE Living Data Project working group analyzed two global datasets containing abundance time-series (BioTIME) and biotic interactions (GloBI). The study indicated that including taxonomy and known ecological drivers can improve predictions of biodiversity loss over large spatial and temporal scales, but also that idiosyncrasies of different studies continue to weaken the ability to make global predictions. This working group was organized by Haley Branch (Yale), Nathalie Isabelle Chardon (St. Gallen), Courtney Collins (UBC), and Ryan E Langendorf (CU Boulder). Graduate students that share first authorship of this paper are Gavia Lertzman-Lepofsky (UofT), Aleksandra Dolezal (Guelph) and Mia Waters (UBC). https://doi.org/10.1111/ecog.07195 |
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