Article, 2024

Idiosyncratic patterns of local species richness and turnover define global biodiversity hotspots

Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 1091-6490, Volume 121, 3, Page e2313106121, 10.1073/pnas.2313106121

Contributors

Sonne, Jesper 0000-0002-8570-7288 (Corresponding author) [1] Rahbek, Carsten 0000-0003-4585-0300 (Corresponding author) [1] [2] [3] [4]

Affiliations

  1. [1] University of Copenhagen
  2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Imperial College London
  4. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  5. [3] Peking University
  6. [NORA names: China; Asia, East];
  7. [4] University of Southern Denmark
  8. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Tropical mountains are global biodiversity hotspots, owing to a combination of high local species richness and turnover in species composition. Typically, the highest local richness and turnover levels are implicitly assumed to converge in the same mountain regions, resulting in extraordinary species richness at regional to global scales. We investigated this untested assumption using high-resolution distribution data for all 9,788 bird species found in 134 mountain regions worldwide. Contrary to expectations, the mountain regions with the highest local richness differed from those with the highest species turnover. This finding reflects dissimilarities in the regions' climates and habitat compositions. Forest habitats and humid tropical climates characterize the mountain regions with the highest local richness. In contrast, mountain regions with the highest turnover are generally colder with drier climates and have mostly open habitat types. The highest local species richness and turnover levels globally converge in only a few mountain regions with the greatest climate volumes and topographic heterogeneity, resulting in the most prominent global hotspots for avian biodiversity. These results underline that species-richness hotspots in tropical mountains arise from idiosyncratic levels of local species richness and turnover, a pattern that traditional analyses of overall regional species richness do not detect.

Keywords

analysis, avian biodiversity, biodiversity, biodiversity hotspot, bird species, birds, climate, combination, composition, data, dissimilarity, distribution data, dry climate, expectations, findings, forest, forest habitats, global biodiversity hotspot, global hotspots, global scale, habitat, habitat composition, habitat types, heterogeneity, high species turnover, high turnover, high-resolution distribution data, higher local species richness, hotspots, humid tropical climate, idiosyncratic level, idiosyncratic patterns, levels, local richness, local species richness, mountain, mountainous regions, patterns, patterns of local species richness, region, regional climate, regional species richness, results, richness, scale, species, species composition, species richness, species turnover, topographic heterogeneity, tropical climate, tropical mountains, tropics, turnover, turnover levels, type, volume

Funders

  • The Velux Foundations

Data Provider: Digital Science