2025/06/25 by Shubhi Sharma, Kevin Winner, Laura J. Pollock +10 · 1 voice
Environmental Science · #Species Distribution and Climate Change #Wildlife Ecology and Conservation #Ecology and Vegetation Dynamics Studies
paper · pdf · doi:10.1016/j.tree.2025.04.010
openalex publication_date 2025/06/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
We lack the data needed to detect and understand biodiversity change for most species, despite some species having millions of observations. This unequal data coverage impedes conservation planning and our understanding of biodiversity patterns. The 'borrowing strength' approach leverages data-rich species to improve predictions for data-deficient species. We review multi- and joint-species distribution models that incorporate traits and phylogenies (termed 'ancillary information') and highlight how they could improve data-deficient spatial predictions. When ancillary information is informative of niche similarity, it has immense potential to improve estimates for data-deficient species distributions and address the Wallacean shortfall. While no statistical method can replace data-collection efforts, approaches discussed in this review offer an important contribution toward closing existing data gaps.