Variably hungry caterpillars: predictive models and foliar chemistry suggest how to eat a rainforest
Jazyk angličtina Země Anglie, Velká Británie Médium print
Typ dokumentu časopisecké články
Grantová podpora
U01 TW006671
FIC NIH HHS - United States
PubMed
29118136
PubMed Central
PMC5698651
DOI
10.1098/rspb.2017.1803
PII: rspb.2017.1803
Knihovny.cz E-zdroje
- Klíčová slova
- Geometridae, Papua New Guinea, Pyraloidea, biodiversity, food webs, oxidative activity,
- MeSH
- biologické modely MeSH
- býložravci * MeSH
- deštný prales MeSH
- fylogeneze MeSH
- larva růst a vývoj fyziologie MeSH
- listy rostlin chemie MeSH
- můry růst a vývoj fyziologie MeSH
- potravní řetězec * MeSH
- rostliny MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Nová Guinea MeSH
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.
Biology Centre The Czech Academy of Sciences Branisovska 31 37005 Ceske Budejovice Czech Republic
Department of Chemistry University of Turku Vatselankatu 2 FI 20500 Turku Finland
Department of Life Sciences The Natural History Museum Cromwell Road London SW7 5BD UK
National Museum of Natural History Smithsonian Institution Box 37012 Washington DC 20013 7012 USA
New Guinea Binatang Research Center PO Box 604 Madang Madang Papua New Guinea
Smithsonian Tropical Research Institute Apartado 0843 03092 Panama City Republic of Panama
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Variably hungry caterpillars: predictive models and foliar chemistry suggest how to eat a rainforest