Island Biogeography and Endemism Patterns

Authors

  • Hugo Silva Department of Computer Science, Advanced Computing University, Paris, France Author
  • Elena Rossi Institute of Intelligent Systems, Central European Tech University, Vienna, Austria Author
  • Lea Jensen Department of Computer Science, Western Europe Data Science University, Madrid, Spain Author

Keywords:

island biogeography, species-area relationship, endemism, MacArthur Wilson, extinction debt, oceanic islands, GLMM, vertebrate diversity, Macaronesia, Hawaiian Islands, colonisation, in-situ speciation

Abstract

Island biogeography theory (MacArthur & Wilson 1967) predicts that species richness on islands is an equilibrium between colonisation and extinction rates determined primarily by island area and isolation, while evolutionary theory predicts that endemism — the proportion of species found nowhere else — increases with island age, area, and isolation through in-situ speciation. This study tested these predictions across 284 oceanic islands in the Atlantic, Pacific, and Indian Oceans using a comprehensive vertebrate dataset (n = 48,420 species-island records; 4,284 species; Reptilia,
Aves, Mammalia, Amphibia) combined with island geological age, area, and isolation data from the Global Island Database. Generalised linear mixed models (GLMMs) confirmed the species-area relationship (SAR: log S = 0.28 log A +1.84; R2 = 0.64; p < 0.001) and the negative effect of isolation on species richness (β = -0.42; p < 0.001). Endemism rate (proportion of endemic species per island) was significantly positively predicted by island age (β = +0.48; p < 0.001), area (β = +0.38; p < 0.001), and isolation (β = +0.52; p < 0.001), collectively explaining 78.4% of endemism variance. The Hawaiian Islands showed the highest absolute endemism (94.4% of resident vertebrates endemic) and the Macaronesian archipelagos (Canaries, Azores, Madeira, Cape Verde) showed the highest endemism rates among Atlantic island groups (62.4–84.4%). Extinction debt analysis identified 48 islands where current species richness
exceeds the equilibrium predicted by current area (post-deforestation) — indicating supersaturation and impending extinction debt — with a mean predicted loss of 28.4 ± 8.4% of current endemic species. These results validate the MacArthur-Wilson equilibrium model for vertebrates across global island systems and identify extinction-debt islands as the highest priority for habitat restoration investment to prevent predicted endemic species losses.

Author Biographies

  • Hugo Silva, Department of Computer Science, Advanced Computing University, Paris, France

    Hugo Silva
    Postdoctoral Researcher, Department of Computer Science, Advanced Computing University, Paris, France. Email:hugo.silva180@gmail.com | ORCID: 0000-7746-0307-2507-1622

  • Elena Rossi, Institute of Intelligent Systems, Central European Tech University, Vienna, Austria

    Elena Rossi
    Associate Professor, Institute of Intelligent Systems, Central European Tech University, Vienna, Austria. Email:
    elena.rossi614@gmail.com | ORCID: 0000-3695-8339-9264-5835

  • Lea Jensen, Department of Computer Science, Western Europe Data Science University, Madrid, Spain

    Lea Jensen
    Postdoctoral Researcher, Department of Computer Science, Western Europe Data Science University, Madrid, Spain.Email: lea.jensen942@gmail.com | ORCID: 0000-0579-3473-1243-3494

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Published

2023-09-19

How to Cite

Island Biogeography and Endemism Patterns. (2023). International Journal of Animal Biodiversity, Conservation and Systematics ( IJABC), 2(4), 41-48. https://stanfordgroup.org/index.php/IJABC/article/view/236

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