Variably hungry caterpillars

Predictive models and foliar chemistry suggest how to eat a rainforest

Simon T. Segar, Martin Volf, Brus Isua, Mentap Sisol, Conor M. Redmond, Margaret E. Rosati, Bradley Gewa, Kenneth Molem, Chris Dahl, Jeremy D. Holloway, Yves Basset, Scott E. Miller, George D Weiblen, Juha Pekka Salminen, Vojtech Novotny

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A long-term goal in evolutionary ecology is to explain the incredible diversity of insect herbivores and patterns of host plant use in speciose groups like tropical Lepidoptera. Here, we used standardized food-web data, multigene phylogenies of both trophic levels and plant chemistry data to model interactions between Lepidoptera larvae (caterpillars) from two lineages (Geometridae and Pyraloidea) and plants in a species-rich lowland rainforest in New Guinea. Model parameters were used to make and test blind predictions for two hectares of an exhaustively sampled forest. For pyraloids, we relied on phylogeny alone and predicted 54% of species-level interactions, translating to 79% of all trophic links for individual insects, by sampling insects from only 15% of local woody plant diversity. The phylogenetic distribution of host-plant associations in polyphagous geometrids was less conserved, reducing accuracy. In a truly quantitative food web, only 40% of pair-wise interactions were described correctly in geometrids. Polyphenol oxidative activity (but not protein precipitation capacity) was important for understanding the occurrence of geometrids (but not pyraloids) across their hosts. When both foliar chemistry and plant phylogeny were included, we predicted geometrid-plant occurrence with 89% concordance. Such models help to test macroevolutionary hypotheses at the community level.

Original languageEnglish (US)
Article number20171803
JournalProceedings of the Royal Society B: Biological Sciences
Volume284
Issue number1866
DOIs
StatePublished - Nov 15 2017

Fingerprint

caterpillar
rainforest
rain forests
insect larvae
chemistry
phylogeny
insect
host plant
food web
Phylogeny
insects
phytochemistry
food webs
Insects
Lepidoptera
Food Chain
host plants
Polyphenols
Ecology
woody plant

Keywords

  • Biodiversity
  • Food webs
  • Geometridae
  • Oxidative activity
  • Papua new guinea
  • Pyraloidea

Cite this

Variably hungry caterpillars : Predictive models and foliar chemistry suggest how to eat a rainforest. / Segar, Simon T.; Volf, Martin; Isua, Brus; Sisol, Mentap; Redmond, Conor M.; Rosati, Margaret E.; Gewa, Bradley; Molem, Kenneth; Dahl, Chris; Holloway, Jeremy D.; Basset, Yves; Miller, Scott E.; Weiblen, George D; Salminen, Juha Pekka; Novotny, Vojtech.

In: Proceedings of the Royal Society B: Biological Sciences, Vol. 284, No. 1866, 20171803, 15.11.2017.

Research output: Contribution to journalArticle

Segar, ST, Volf, M, Isua, B, Sisol, M, Redmond, CM, Rosati, ME, Gewa, B, Molem, K, Dahl, C, Holloway, JD, Basset, Y, Miller, SE, Weiblen, GD, Salminen, JP & Novotny, V 2017, 'Variably hungry caterpillars: Predictive models and foliar chemistry suggest how to eat a rainforest', Proceedings of the Royal Society B: Biological Sciences, vol. 284, no. 1866, 20171803. https://doi.org/10.1098/rspb.2017.1803
Segar, Simon T. ; Volf, Martin ; Isua, Brus ; Sisol, Mentap ; Redmond, Conor M. ; Rosati, Margaret E. ; Gewa, Bradley ; Molem, Kenneth ; Dahl, Chris ; Holloway, Jeremy D. ; Basset, Yves ; Miller, Scott E. ; Weiblen, George D ; Salminen, Juha Pekka ; Novotny, Vojtech. / Variably hungry caterpillars : Predictive models and foliar chemistry suggest how to eat a rainforest. In: Proceedings of the Royal Society B: Biological Sciences. 2017 ; Vol. 284, No. 1866.
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