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Three energy variables predict ant abundance at a geographical scale
Journal article   Open access

Three energy variables predict ant abundance at a geographical scale

Michael Kaspari, Leeanne Alonso and Sean O'Donnellkwd>
Proceedings of the Royal Society. B, Biological sciences, v 267(1442), pp 485-489
07 Mar 2000
PMID: 10737406
url
https://doi.org/10.1098/rspb.2000.1026View
Published, Version of Record (VoR) Open

Abstract

ants energy theory abundance temperature ectotherms climate change
Energy theory posits three processes that link local abundance of ectotherms to geographical gradients in temperature. A survey of 49 New World habitats found a two order of magnitude span in the abundance (nests m2) of ground nesting ants (Formicidae). Abundance increased with net primary productivity (r20.55), a measure of the baseline supply of harvestable energy. Abundance further increased with mean temperature (r20.056), a constraint on foraging activity for this thermophilic taxon. Finally, for a given mean temperature, ants were more abundant in seasonal sites with longer, colder winters (r20.082) that help ectotherm taxa sequester harvested energy in nonproductive months. All three variables are currently changing on a global scale. All should be useful in predicting biotic responses to climate change. Energy theory posits three processes that link local abundance of ectotherms to geographical gradients in temperature. A survey of 49 New World habitats found a two order of magnitude span in the abundance (nests m 2 ) of ground nesting ants (Formicidae). Abundance increased with net primary productivity (r 2 0.55), a measure of the baseline supply of harvestable energy. Abundance further increased with mean temperature (r 2 0.056), a constraint on foraging activity for this thermophilic taxon. Finally, for a given mean temperature, ants were more abundant in seasonal sites with longer, colder winters (r 2 0.082) that help ectotherm taxa sequester harvested energy in nonproductive months. All three variables are currently changing on a global scale. All should be useful in predicting biotic responses to climate change.

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Collaboration types
Domestic collaboration
Web of Science research areas
Biology
Ecology
Evolutionary Biology
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