A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

Variably hungry caterpillars: predictive models and foliar chemistry suggest how to eat a rainforest




TekijätSegar 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

KustantajaROYAL SOC

Julkaisuvuosi2017

JournalProceedings of the Royal Society B: Biological Sciences

Tietokannassa oleva lehden nimiPROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Lehden akronyymiP ROY SOC B-BIOL SCI

Artikkelin numeroARTN 20171803

Vuosikerta284

Numero1866

Sivujen määrä9

ISSN0962-8452

eISSN1471-2954

DOIhttps://doi.org/10.1098/rspb.2017.1803

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/27444367


Tiivistelmä
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.

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