Global abundance estimates for 9,700 bird species

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 118; no. 21; pp. 1 - 10
• Main Authors: Callaghan, Corey T., Nakagawa, Shinichi, Cornwell, William K.
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 25-05-2021
• Series: From the Cover
• Subjects: Abundance; Animal Distribution - physiology; Animals; Biodiversity; Biological Evolution; Biological Sciences; Birds; Birds - classification; Birds - genetics; Body Size; Conservation of Natural Resources - methods; Ecology; Ecosystem; Estimates; Evolutionary conservation; Extinction, Biological; Geographical distribution; Guilds; Life history; Missing data; Phylogeny; Population Dynamics; Rare species; Uncertainty; Wildlife conservation; global biodiversity; SADs; data integration; abundance; rarity
• ISSN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.2023170118

Quantifying the abundance of species is essential to ecology, evolution, and conservation. The distribution of species abundances is fundamental to numerous longstanding questions in ecology, yet the empirical pattern at the global scale remains unresolved, with a few species’ abundance well known but most poorly characterized. In large part because of heterogeneous data, few methods exist that can scale up to all species across the globe. Here, we integrate data from a suite of well-studied species with a global dataset of bird occurrences throughout the world—for 9,700 species (∼92% of all extant species)—and use missing data theory to estimate species-specific abundances with associated uncertainty. We find strong evidence that the distribution of species abundances is log left skewed: there are many rare species and comparatively few common species. By aggregating the species-level estimates, we find that there are ∼50 billion individual birds in the world at present. The global-scale abundance estimates that we provide will allow for a line of inquiry into the structure of abundance across biogeographic realms and feeding guilds as well as the consequences of life history (e.g., body size, range size) on population dynamics. Importantly, our method is repeatable and scalable: as data quantity and quality increase, our accuracy in tracking temporal changes in global biodiversity will increase. Moreover, we provide the methodological blueprint for quantifying species-specific abundance, along with uncertainty, for any organism in the world.