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Habitat heterogeneity as a determinant of mammal species richness in high-energy regions

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  • Jeremy T. Kerr

    (York University)

  • Laurence Packer

    (York University)

Abstract

A fundamental problem in ecological research is to explain large-scale gradients in species richness1,2. Although many causative agents for this phenomenon have been suggested, the species richness–energy hypothesis has received the strongest empirical support3–6: this hypothesis states that higher energy availability provides a broader resource base, permitting more species to coexist. Here we show that the species richness–energy hypothesis applies to North American mammals only over a limited geographical area in which climatic energy levels are low (Alaska and most of Canada), rather than on a continental scale as had previously been accepted6. In relatively high-energy regions of North America, corresponding to most of the continental United States and southern Canada, we find that mammal species richness is best predicted by topographic heterogeneity and local variation in energy availability. Our results contradict previous studies of large-scale richness patterns that dismissed the importance of habitat heterogeneity2,7–9, and have implications for climate change research.

Suggested Citation

  • Jeremy T. Kerr & Laurence Packer, 1997. "Habitat heterogeneity as a determinant of mammal species richness in high-energy regions," Nature, Nature, vol. 385(6613), pages 252-254, January.
  • Handle: RePEc:nat:nature:v:385:y:1997:i:6613:d:10.1038_385252a0
    DOI: 10.1038/385252a0
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    1. Thiago Bernardi Vieira & Carla Simone Pavanelli & Lilian Casatti & Welber Senteio Smith & Evanilde Benedito & Rosana Mazzoni & Jorge Iván Sánchez-Botero & Danielle Sequeira Garcez & Sergio Maia Queiro, 2018. "A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-17, September.
    2. Henry, Mickaël & Cosson, Jean François & Pons, Jean Marc, 2010. "Modelling multi-scale spatial variation in species richness from abundance data in a complex neotropical bat assemblage," Ecological Modelling, Elsevier, vol. 221(17), pages 2018-2027.
    3. Regina Gabriela Medina & Andrés Lira-Noriega & Ezequiel Aráoz & María Laura Ponssa, 2020. "Potential effects of climate change on a Neotropical frog genus: changes in the spatial diversity patterns of Leptodactylus (Anura, Leptodactylidae) and implications for their conservation," Climatic Change, Springer, vol. 161(4), pages 535-553, August.
    4. Wan-Yi Zhao & Zhong-Cheng Liu & Shi Shi & Jie-Lan Li & Ke-Wang Xu & Kang-You Huang & Zhi-Hui Chen & Ya-Rong Wang & Cui-Ying Huang & Yan Wang & Jing-Rui Chen & Xian-Ling Sun & Wen-Xing Liang & Wei Guo , 2024. "Landform and lithospheric development contribute to the assembly of mountain floras in China," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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